Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate is a self-starter that has deep technical expertise in their domain. Position Responsibilities As a Senior Staff Engineer, you will: Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise Collaborate across team members and across the tech organization to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like C#, Java, Python or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Qualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms. Proven expertise in designing and developing microservices using C#, gRPC, Python, Django, Kafka, and Apache Spark, with a deep understanding of both API and event-driven architectures. Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency. Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes Fluency and Specialization with at least two modern OOP languages such as C#, Java, C++, or Python including object-oriented design Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc. In-depth knowledge of CS data structures and algorithms Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments Experience in Azure Network (Subscription, Security zoning, etc.) Experience 10+ years full-stack development experience (C#/Java/Python/GO), with expertise in client-side and server-side frameworks. 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period** Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Reimbursement Paid Training and Licensures *Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. **Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants. For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Opportunities for Students & Grads Learn more about GEICO Learn more about GEICO Diversity and Inclusion Learn more about GEICO Benefits \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, DevOps, Education, Cloud, API, Senior and Engineer jobs that are similar:\n\n $47,500 — $97,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMD Chevy Chase (Office) - JPS

\nJoin SADA India as a Senior Data Engineer, Enterprise Support service!\n\nYour Mission \n\nAs a Sr. Data Engineer on the Enterprise Support service team at SADA, you will reduce customer anxiety about running production workloads in the cloud by implementing and iteratively improving observability and reliability. You will have the opportunity to engage with our customers in a meaningful way by defining, measuring, and improving key business metrics; eliminating toil through automation; inspecting code, design, implementation, and operational procedures; enabling experimentation by helping create a culture of ownership; and winning customer trust through education, skill sharing, and implementing recommendations. Your efforts will accelerate our customers’ cloud adoption journey and we will be with them through the transformation of their applications, infrastructure, and internal processes. You will be part of a new social contract between customers and service providers that demands shared responsibility and accountability: our partnership with our customers will ensure we are working towards a common goal and share a common fate.\n\nThis is primarily a customer-facing role. You will also work closely with SADA’s Customer Experience team to execute their recommendations to our customers, and with Professional Services on large projects that require PMO support.\n\nPathway to Success \n\n#MakeThemRave is at the foundation of all our engineering. Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in the Google Cloud Platform.\n\nYour success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.\n\nAs you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.\n\nExpectations\n\nCustomer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touchpoints occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.\n\nOnboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals.\n\nJob Requirements\n\nRequired Credentials:\n\n\n* Google Professional Data Engineer Certified or able to complete within the first 45 days of employment \n\n* A secondary Google Cloud certification in any other specialization\n\n\n\n\nRequired Qualifications: \n\n\n* 4+ years of experience in Cloud support\n\n* Experience in supporting customers preferably in 24/7 environments\n\n* Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)\n\n* Experience writing software in at least two or more languages such as Python, Java, Scala, or Go\n\n* Experience in building production-grade data solutions (relational and NoSQL)\n\n* Experience with systems monitoring/alerting, capacity planning, and performance tuning\n\n* Experience with BI tools like Tableau, Looker, etc will be an advantage\n\n* Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions\n\n\n\n\nUseful Qualifications:\n\n\n* \n\n\n* Mastery in at least one of the following domain areas:\n\n\n\n\n\n* \n\n\n* Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka, and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues\n\n* Data Integration Tools: building data pipelines using modern data integration tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud\n\n* Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration.\n\n\n\n\n\n\n\n\n\n* Experience with IoT architectures and building real-time data streaming pipelines\n\n* Experience operationalizing machine learning models on large datasets\n\n* Demonstrated leadership and self-direction -- a willingness to teach others and learn new techniques\n\n* Demonstrated skills in selecting the right statistical tools given a data analysis problem\n\n* Understanding of Chaos Engineering\n\n* Understanding of PCI, SOC2, and HIPAA compliance standards\n\n* Understanding of the principle of least privilege and security best practices\n\n* Understanding of cryptocurrency and blockchain technology\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nThiruvananthapuram, Kerala, India

The Team\n\nAcross our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward. \n\nThe Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI.\nThe Opportunity\n\nBy pairing engineers with leaders in our science and education teams, we can bring AI/ML technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. Our technology team is already helping schools bring personalized learning tools to teachers and schools across the country. We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences. \n\nThe AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. A person in this role will build these technology solutions and help to cultivate a culture of shared best practices and knowledge around core engineering.\nWhat You'll Do\n\n\n* Participate in the  technical design and building of efficient, stable, performant, scalable and secure AI/ML and Data infrastructure engineering solutions.\n\n* Active hands-on coding working on our Deep Learning and Machine Learning models\n\n* Design and implement complex systems integrating with our large scale AI/ML GPU compute infrastructure and platform, making working across multiple clouds easier and convenient for our Research Engineers, ML Engineers, and Data Scientists. \n\n* Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large scale GPU Research cluster as well as working on our various heterogeneous and distributed AI/ML environments.  \n\n* Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.\n\n* Collaborate with our partners on data management solutions in our heterogeneous collection of complex datasets.\n\n* Help build tooling that makes optimal use of our shared infrastructure in empowering  our AI/ML efforts with world class GPU Compute Cluster and other compute environments such as our AWS based services.\n\n\n\nWhat You'll Bring\n\n\n* BS or MS degree in Computer Science or a related technical discipline or equivalent experience\n\n* 5+ years of relevant coding experience\n\n* 3+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering\n\n* Scaling containerized applications  on Kubernetes or Mesos, including expertise  with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)\n\n* Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments\n\n* Proven coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala\n\n* Shown ability with a scripting language such as Python, PHP, or Ruby\n\n* AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam  \n\n* MLOps experience working with medium to large scale GPU clusters in Kubernetes (Kubeflow),  HPC environments, or large scale Cloud based ML deployments\n\n* Working knowledge of Nvidia CUDA and AI/ML custom libraries.  \n\n* Knowledge of Linux systems optimization and administration\n\n* Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.\n\n* PyTorch, Karas, or Tensorflow  experience a strong nice to have\n\n* HPC with and Slurm experience a strong nice to have\n\n\n\nCompensation\n\nThe Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.\nBenefits for the Whole You \n\nWe’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. \n\n\n* CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.\n\n* Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.\n\n* CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.\n\n* Paid time off to volunteer at an organization of your choice. \n\n* Funding for select family-forming benefits. \n\n* Relocation support for employees who need assistance moving to the Bay Area\n\n* And more!\n\n\n\nCommitment to Diversity\n\nWe believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. \n\nIf you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.\n\nExplore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.\n\n#LI-Remote  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n $42,500 — $82,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRedwood City, California, United States

\nCAPCO POLAND \n\n*We are looking for Poland based candidate. The job is remote but may require some business trips.\n\nJoining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.\n\nCapco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.\n\nWe also are experts in      focused on development, automation, innovation, and long-term projects in financial services. In Capco, you can code, write, create, and live at your maximum capabilities without getting dull, tired, or foggy.\n\nWe're seeking a skilled Mid Big Data Engineer to join our Team. The ideal candidate will be responsible for designing, implementing and maintaining scalable data pipelines and solutions on on-prem / migration / cloud projects for large scale data processing and analytics.\n\n \n\nTHINGS YOU WILL DO\n\n\n* Design, develop and maintain robust data pipelines using Scala or Python, Spark, Hadoop, SQL for batch and streaming data processing\n\n* Collaborate with cross-functional teams to understand data requirements and design efficient solutions that meet business needs \n\n* Optimize Spark jobs and data processing workflows for performance, scalability and reliability\n\n* Ensure data quality, integrity and security throughout the data lifecycle\n\n* Troubleshoot and resolve data pipeline issues in a timely manner to minimize downtime and impact on business operations\n\n* Stay updated on industry best practices, emerging technologies, and trends in big data processing and analytics\n\n* Document, design specifications, deployment procedures and operational guidelines for data pipelines and systems\n\n* Provide technical guidance and mentorship for new joiners\n\n\n\n\n \n\nTECH STACK: Python or Scala, OOP, Spark, SQL, Hadoop\n\nNice to have: GCP, Pub/Sub, Big Query, Kafka, Juniper, Apache NiFi, Hive, Impala, Cloudera, CI/CD\n\n \n\nSKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE\n\n\n* min. 3-4 years of experience as a Data Engineer/Big Data Engineer\n\n* University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience\n\n* Excellent SQL skills, including advanced concepts\n\n* Very good programming skills in Python or Scala\n\n* Experience in Spark and Hadoop\n\n* Experience in OOP\n\n* Experience using agile frameworks like Scrum\n\n* Interest in financial services and markets\n\n* Nice to have: experience or knowledge with GCP \n\n* Fluent English communication and presentation skills\n\n* Sense of humor and positive attitude\n\n\n\n\n \n\nWHY JOIN CAPCO?\n\n\n* Employment contract and/or Business to Business - whichever you prefer\n\n* Possibility to work remotely\n\n* Speaking English on daily basis, mainly in contact with foreign stakeholders and peers\n\n* Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)\n\n* Access to 3.000+ Business Courses Platform (Udemy)\n\n* Access to required IT equipment\n\n* Paid Referral Program\n\n* Participation in charity events e.g. Szlachetna Paczka\n\n* Ongoing learning opportunities to help you acquire new skills or deepen existing expertise\n\n* Being part of the core squad focused on the growth of the Polish business unit\n\n* A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients\n\n* A work culture focused on innovation and creating lasting value for our clients and employees\n\n\n\n\n \n\nONLINE RECRUITMENT PROCESS STEPS*\n\n\n* Screening call with the Recruiter\n\n* Technical interview: first stage\n\n* Client Interview\n\n* Feedback/Offer\n\n\n\n\n*The recruitment process may be modified \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n $57,500 — $92,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nKraków, Lesser Poland Voivodeship, Poland

\nJoin SADA India as a Senior Data Engineer!\n\nYour Mission \n\nAs a Sr. Data Engineer on the Enterprise Support service team at SADA, you will reduce customer anxiety about running production workloads in the cloud by implementing and iteratively improving observability and reliability. You will have the opportunity to engage with our customers in a meaningful way by defining, measuring, and improving key business metrics; eliminating toil through automation; inspecting code, design, implementation, and operational procedures; enabling experimentation by helping create a culture of ownership; and winning customer trust through education, skill sharing, and implementing recommendations. Your efforts will accelerate our customers’ cloud adoption journey and we will be with them through the transformation of their applications, infrastructure, and internal processes. You will be part of a new social contract between customers and service providers that demands shared responsibility and accountability: our partnership with our customers will ensure we are working towards a common goal and share a common fate.\n\nThis is primarily a customer-facing role. You will also work closely with SADA’s Customer Experience team to execute their recommendations to our customers, and with Professional Services on large projects that require PMO support.\n\nPathway to Success \n\n#MakeThemRave is at the foundation of all our engineering. Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in the Google Cloud Platform.\n\nYour success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.\n\nAs you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.\n\nExpectations\n\nCustomer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touchpoints occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.\n\nOnboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals.\n\nJob Requirements\n\nRequired Credentials:\n\n\n* Google Professional Data Engineer Certified or able to complete within the first 45 days of employment \n\n* A secondary Google Cloud certification in any other specialization\n\n\n\n\nRequired Qualifications: \n\n\n* 5+ years of experience in Cloud support\n\n* Experience in supporting customers preferably in 24/7 environments\n\n* Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)\n\n* Experience writing software in at least two or more languages such as Python, Java, Scala, or Go\n\n* Experience in building production-grade data solutions (relational and NoSQL)\n\n* Experience with systems monitoring/alerting, capacity planning, and performance tuning\n\n* Experience with BI tools like Tableau, Looker, etc will be an advantage\n\n* Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions\n\n\n\n\nUseful Qualifications:\n\n\n* \n\n\n* Mastery in at least one of the following domain areas:\n\n\n\n\n\n* \n\n\n* Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka, and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues\n\n* Data Integration Tools: building data pipelines using modern data integration tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud\n\n* Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration.\n\n\n\n\n\n\n\n\n\n* Experience with IoT architectures and building real-time data streaming pipelines\n\n* Experience operationalizing machine learning models on large datasets\n\n* Demonstrated leadership and self-direction -- a willingness to teach others and learn new techniques\n\n* Demonstrated skills in selecting the right statistical tools given a data analysis problem\n\n* Understanding of Chaos Engineering\n\n* Understanding of PCI, SOC2, and HIPAA compliance standards\n\n* Understanding of the principle of least privilege and security best practices\n\n* Understanding of cryptocurrency and blockchain technology\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nThiruvananthapuram, Kerala, India

\n**You must reside in the United States**\n\nAt Edward Jones we are developing a next-generation analytics architecture to support our growing business. As part of the Data Architecture and Data Design team, you will be challenged daily to find innovative solutions to improve the speed and consumption of our information. This will also bring you into contact with a diverse array of stakeholders ranging from IT to our front line business organizations, and you will be working on defining an architecture platform that establishes the foundational layer for Edward Jones analytics for years to come.\n\nResponsibility Summary:\n\n\n\n* Design and deliver data and analytic platform requirements to ensure the highest levels of availability, performance and security of the firm's data and information\n\n* Responsible for working with other internal engineering roles and vendors to define required systems integrations to support initiatives\n\n* Drive significant data technology initiatives end to end, across multiple layers of architecture, and across multiple distribution technologies for operational and analytic environments\n\n* Drive design and implementation of durable data architecture and software solutions that will solve critical customer problems, performance barriers and security needs\n\n* Recommend development best practices for application development as it relates to integrating data requirements\n\n* Deliver technical design and implement highly available, scalable and secure data services with excellent quality\n\n* Partner with other groups both inside and outside of IT for cross-functional design and solution integration\n\n* Work with cross-functional team members from architecture, product management, and production development to develop, test, and release features\n\n* Actively stay abreast of mobile/ SaaS/ PaaS trends and standards, recommend best practices and share learning\n\n* Pursue and resolve complex or unchartered technical problems and share key learnings\n\n* Provide technical leadership and be a role model to data and analytic software engineers pursuing technical career path in engineering\n\n* Provide/ inspire innovations that fuel the growth of the firm as a whole\n\n* Coach and mentor other data platform engineers in process and methodologies\n\n* Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements\n\n\n\n\n\n* Strong educational background with BS/ MS in Computer Science or related area\n\n* 8+ years of experience developing systems/ software for large business environments\n\n* Strong experience leading design and implementation of robust and highly scalable services\n\n* Strong Object-oriented design and Solution-oriented architecture principles, with the ability to implement them in a language of choice (Java, Spark)\n\n* Experience with SQL (DB2, AWS RDS, Oracle, MySQL, Google BigQuaery, SAPHana, Teradata, PostreSQL, SQLServer) and no-SQL is required (MongoDB, Cassandra, Apache HBase, MarkLogic)\n\n* Experience with Amazon AWS/ MSFT Azure or similar cloud platform is required (2-3 years preferred)\n\n* Experience with Microservices is highly desirable\n\n* Experience with full stack development and automation\n\n* Proven experience in installing, configuring and troubleshooting UNIX /Linux and Windows Server based environments\n\n* 5-7 years of experience in the administration and performance tuning of application stacks (Tomcat, JBoss, Apache, Ruby, NGINX)\n\n* Experience with virtualization and containerization (VMware, Virtual Box)\n\n* Experience with monitoring systems\n\n* Demonstrated ability in scripting skills (eshell scripts, Perl, Ruby, Python)\n\n* Demonstrated ability in networking knowledge (OSI network layers, TCP/IP\n\n* Able to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation\n\n* Ability to handle a fast paced environment for iterative project turnarounds on mission critical systems\n\n* Passionate for continuous learning, experimenting and applying cutting edge technology and software paradigms\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Engineer, Amazon, Cloud and Apache jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey.  As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity:  raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms:  TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies:  Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies:  Docker, Kubernetes, or OpenStack\n\n* Public Cloud:  Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Executive, Teaching, Amazon, Java, Cloud, Python, Junior and Apache jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nLove DevOps and Systems Administration? We’re looking for you!\n\nThe Cheat Sheet is a pop media company dedicated to providing audiences the information they want in an entertaining way. We want readers to save time and live more, so we closely follow, research, and write about topics to bring readers the most up-to-date guides, reviews, lists, and advice.\n\nWe are looking for a full-time DevOps Engineer to join our team. The Cheat Sheet is known for its entertaining lifestyle coverage, and you could be part of our team dedicated to having fun together while building and promoting our site and content!\n\nAs our DevOps Engineer you will:\n\n\n* Report to our Director of Technology and manage operational infrastructure used for www.cheatsheet.com and our affiliate sites.\n\n* Work to deploy, automate, maintain and manage our AWS cloud based production and Rackspace systems, ensuring the availability, performance, scalability and security of productions systems.\n\n* Conduct systems troubleshooting and problem solving across platform and application domains.\n\n* Suggest architecture improvements, recommending process improvements to the leadership team.\n\n* Evaluate new technology options and vendor products.\n\n* Support installation and maintenance of layered software, and infrastructure.\n\n* Monitor site stability and performance and troubleshoot site issues. \n\n* Scale infrastructure to meet rapidly increasing demands.\n\n* Build deployment automation scripts and manage deployments.\n\n* Collaborate with developers to bring new features and services into production.\n\n* Provide support to development teams that use the automated infrastructure.\n\n* Develop and improve operational practices and procedures.\n\n* Skill in developing and improving CI/CD scripts and services for development and deployment\n\n\n\n\nWhat you will need to be successful in this role:\n\n\n\n\n* Minimum of four years of DevOps experience.\n\n* Solid understanding of the AWS and Rackspace architected framework and ability to apply AWS + Rackspace best practices to application deployments.\n\n* Strong understanding of systems monitoring, alerting and analytics.\n\n* Experience supporting web technologies and websites running Apache or NGINX.\n\n* Experience with Linux operating systems including installing, configuring and troubleshooting.\n\n* Experience in SQL architecture such as MySQL, PostgreSQL or MS-SQ.\n\n* Strong project management skills and the passion to continue to learn new technologies in your field.\n\n* Excellent organizational, project management and communication skills.\n\n* A high capacity to adapt to change in a dynamic environment.\n\n* Ability to work independently in a virtual environment.\n\n* Required Technologies:\n\n\n\n\n\n\n\n\n\n\n\n* MySQL\n\n* PHP\n\n* Javascript, jQuery\n\n* HTML/CSS\n\n* Yii Framework or MVC Framework experience\n\n* Familiarity with Object Oriented Programming\n\n* Standards compliant coding practices\n\n* Experience with revision control, particularly Mercurial\n\n* Hadoop\n\n* Wordpress\n\n* Linux CLI\n\n* PHPDoc\n\n\n\n\n\n\n\n\nWhat makes The Cheat Sheet a great place to work?\n\n\n* We are a recognized digital media leader with more than 15 million monthly readers and our company was named to Inc’s Top 5000 list for 2016 + 2017.\n\n\n\n\n\n* We are a tightly knit team passionate about our product and we strive to be experts in our fields. We have a collaborative culture driven by mutual respect that fosters regular feedback and group discussion.\n\n* We are an exciting, rapidly growing company and we want you to grow with us. At The Cheat Sheet, your career is what you make of it.\n\n* Work from home, a coffee shop, or anywhere you choose. We have a distributed workforce, which means you can live wherever you want and work with brilliant colleagues from around the country.\n\n* We offer competitive salaries, health, dental & vision insurance as well as 401k contributions.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Engineer, Cloud, Apache and Linux jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAt Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one team, while the broader community spans across over 100 countries.\n\nThanks to our ongoing expansion we have the opportunity to grow our Cloud Security Operations team. We're part of the Elastic Cloud team with a development, operations and security background who aren’t afraid to get our hands dirty.\n\nWe’re looking for people who are just as passionate about solving issues with distributed systems as they are to automate, code and collaborate to tackle problems with a proven focus on Security. You will be assisting the development and implementation of security controls to mitigate risks and threats but also participating in daily security operational tasks.\n\nResponsibilities\n\n\n* Build and improve security focused tooling for the Elastic Cloud product and infrastructure\n\n* Architect and maintain a SIEM infrastructure\n\n* Be a part of a Security Incident Response Team\n\n* Work closely with the SRE and Development team as well as third party auditors to ensure a smooth road to security compliance and alignment to regulations (SOC2, GDPR etc)\n\n* Demonstrate and promote Security best practices\n\n\n\n\nExperience (in 2+ areas)\n\n\n* You performed automated and manual testing against a large codebase. You identify and exploit an SQL injection vulnerability without using sqlmap.\n\n* Kali Linux for PenTest, Burp or OWASP for security testing.\n\n* Ability to exploit XSS in something more meaningful than a PoC alert?\n\n* Deploy perimeter scanners against a large network, with knowledge of Snort, Nessus and Bro.\n\n* Linux Systems / Containers Security: Hardened a VM with SELinux / AppArmor, tweaked cgroups, created Seccomp profiles.\n\n* Profile an application to get the minimum syscall / kernel capabilities gamut required for it to run.\n\n* Experience with SOC2, PCI, and HIPAA.\n\n* Experience working in a Security Operations Center.\n\n* Consistently dealing with security incidents that required quick mitigation and extensive root cause analysis.\n\n* Authentication and Authorization protocols such as OIDC, OAuth and SAML. Deployed large scale LDAP / Kerberos?\n\n* Familiar with security principles for Software Engineering. Can you help developers build security in throughout the Software Development Process?\n\n\n\n\nKey Skills\n\n\n* Desire to represent work in git, driven by a GitHub workflow through issues and pull requests and rigorous code reviews\n\n* Love open source development, and have contributed to some project somewhere (doesn't have to be ours), whether it's mailing lists, patches, documentation, etc.\n\n* Enjoy working remotely and the communication it requires\n\n* Love a diverse environment,\n\n* Working with men and women all over the world\n\n\n\n\nAdditional Information\n\n\n* Competitive pay and benefits\n\n* Stock options\n\n* Catered lunches, snacks, and beverages in most offices\n\n* An environment in which you can balance great work with a great life\n\n* Passionate people building great products\n\n* Employees with a wide variety of interests\n\n* Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.\n\n* Fully remote, with optional coworking from an Elastic office (Mountain View, Amsterdam, Phoenix, etc.) or in your town\n\n* Lots of opportunities for conference travel, being in the community is encouraged, not just tolerated\n\n\n\n\nElastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to InfoSec, Cloud, Engineer, Apache and Linux jobs that are similar:\n\n $80,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n