\nAbout Zeotap\n\n\nFounded in Berlin in 2014, Zeotap started with a mission to provide high-quality data to marketers. As we evolved, we recognized a greater challenge: helping brands create personalized, multi-channel experiences in a world that demands strict data privacy and compliance. This drive led to the launch of Zeotap’s Customer Data Platform (CDP) in 2020—a powerful, AI-native SaaS suite built on Google Cloud that empowers brands to unlock and activate customer data securely.\n\n\nToday, Zeotap is trusted by some of the world’s most innovative brands, including Virgin Media O2, Amazon, and Audi, to create engaging, data-driven customer experiences that drive better business outcomes across marketing, sales, and service. With an unique background in high-quality data solutions, Zeotap is a leader in the European CDP market, empowering enterprises with a secure, privacy-first solution to harness the full potential of their customer data.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 2+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employer. Qualified applicants 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.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \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, Cloud, Senior and Engineer jobs that are similar:\n\n $52,500 — $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\nBengaluru, Karnataka

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

Sr. Solutions Architect CybersecurityAt Voltron Data, we are on a mission to transform the way data is processed and analyzed, leveraging the power of open-source libraries and cutting-edge GPU technology. As a Sr. Solutions Architect - CyberSecurity, you will be at the forefront of this transformation, working directly with our customers to deploy, optimize, and showcase the capabilities of our powerful tools. \n\nYou’ll play a critical role in bridging the gap between our technology and the unique challenges our customers face, building tailored solutions that drive real-world impact. This is an opportunity to not only deepen your technical expertise but also to become a key advocate for Voltron Data’s vision, influencing both our product strategy and the success of our customers.\nWhy work at Voltron Data?\n\n\n* We are Going for Impact: We are a Series A, venture-backed startup assembling a global team to design next-generation data systems, creating a new foundation for data processing built on composable open standards, with Theseus, our GPU query engine for petabyte-scale ETL, harnessing the speed and efficiency of modern hardware. \n\n* We are Committed to Bridging Open Source Communities: We are a collection of open source maintainers who have been driving open source ecosystems over the last 15 years, particularly in the C++, Python, and R programming ecosystems.\n\n* We are Building a Diverse, Inclusive Company:  We are creating a representative, equitable, and respectful workplace that prioritizes employee growth. Everyone at Voltron Data is bought into the company’s success; all voices are critical to shaping the organization’s future. \n\n\n\n\n\nTimeline:\n\nBelow is a rough timeline of where you can expect to be at different points during your career path starting in this position.\nYour First 30 Days at Voltron Data:\n\n\n* Getting Started: You’ll dive into our existing solutions and technology stack, familiarizing yourself with Voltron Data's open-source libraries and our GPU query engine, Theseus.\n\n* Hands-On Learning: Begin deploying development and demo environments in AWS and GCP, leveraging either EKS and GKE or manually deploying servers using Terraform.\n\n* Foundational Demos: Start building basic demos using our open-source tools and Theseus, getting a feel for how our technology addresses real-world problems.\n\n* Work to Understand the Business Value of Voltron Data: Work to understand how to benefit our customers using the capabilities of Theseus.\n\n* Working to Accelerate and Build our Cybersecurity Capabilities: Start applying your CyberSecurity skills to the data problems faced in the industry.\n\n\n\n60 Days In:\n\n\n* Expanding Impact: Build more complex and targeted demos that showcase Cyber Security use cases, using our open-source libraries and Theseus to highlight the power of our solutions.\n\n* Content Creation: Collaborate with the marketing and product marketing teams to write your first blog post, sharing insights and learnings from your demo projects.\n\n* Customer Interaction: Start engaging with customers, understanding their unique cyber security challenges, and answering technical questions to help guide them toward the best solutions.\n\n\n\n90 Days In:\n\n\n* Public Engagement: Take the lead in hosting your first webinar, sharing your expertise on Voltron Data's solutions and how they can be leveraged to solve real-world problems.\n\n* Use Case Development: Work closely with customers to build detailed use case and prove out the capabilities of the platform in the cyber security space.\n\n\n\n6 Months In:\n\n\n* Customer Advocate: You’ll have become the go-to expert for customers seeking advice on how to leverage Voltron Data’s technology for cyber security. You’ll be regularly presenting to customers to show the value of the Voltron Data platform.\n\n* Thought Leadership: Continue to expand your thought leadership by contributing regularly to blogs and webinars, while also engaging in developer relations to build a strong community around our open-source libraries and Theseus.\n\n* Strategic Contributions: Collaborate with internal leadership to refine and build upon use case stories, helping to shape the direction of our product and customer engagement strategies in Cyber Security.\n\n\n\n12 Months In and Beyond:\n\n\n* Trusted Partner: You’ll have established yourself as a trusted partner to both customers and internal teams, consistently delivering impactful solutions and thought leadership that drives Voltron Data forward.\n\n* Innovator: Continue to innovate by developing new demos, exploring new use cases, and refining deployment strategies for Voltron Data in Cyber Security.\n\n* Leadership Role: Begin mentoring new team members and take on a larger role in shaping the direction of the Solutions Engineering team and its engagement with the broader technical community.\n\n\n\nPrevious experience required:\n\n\n* Familiarity with OCSF and MITRE\n\n* Capability to understand both red and blue teaming\n\n* Experience using data in Cybersecurity in a defensive position\n\n* Understand or experience with a SOC, and how it functions\n\n\n\nPrevious experience that could be helpful (not required):\n\n\n* Docker / Containerization\n\n* Security technologies, such as OAuth2, TLS, mTLS, and JWTs\n\n* Open-source data formats: parquet, orc, Delta Lake, and/or Iceberg\n\n* Experience with Cloud Data engines - such as Snowflake, Databricks, ClickHouse, or BigQuery\n\n* Tuning analytics workloads that query terabytes or more of data\n\n* Apache Arrow technologies, including Flight and/or Flight SQL\n\n* SQL Abstraction libraries - such as Ibis, SQLAlchemy, R\n\n* Open-source SQL/Data engines - such as DuckDB or Apache DataFusion\n\n* Programming in C++, Go, or Java\n\n\n\n\nUS Compensation - The salary range for this role is between $195,000 to $240,000. We have a global market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the exact base pay will vary based on factors such as actual work location, skills and experience of the candidate. This position is also eligible for additional incentives such as equity awards. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Senior and Marketing jobs that are similar:\n\n $40,000 — $77,500/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

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

\nAbout the company\n\n\nZeotap is the next-generation Customer Data Platform. It empowers brands to unify, enhance and activate customer data in a cookieless future, all while putting consumer privacy and compliance front-and-centre. Recognised by Gartner as a “Cool Vendor”, Zeotap works with over 80 of the world’s top 100 brands, including P&G, Nestlé and Virgin Media. It is also the founding member of ID+, a universal marketing ID initiative.\n\n\nZeotap is expanding its SAAS product suites branded as Customer Intelligence Platform consisting of an integrated product suite for Customer data collection, ID resolution, Predictive Analytics, Audience management and Activation. \nOur ideal candidate will be passionate about helping our enterprise customers and business teams across the globe, enjoy resolving problems, identifying root causes of issues, and thrive in a team environment. The incoming person would be responsible for end-to-end ticket resolution and communication with the customers and other stakeholders within the SLA, escalations to the internal teams based on SOPs, creation of internal knowledge based articles and perform engineering support activities as and when required.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 1+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employers. Qualified applicants 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.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \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, Java, NoSQL, Senior, Marketing and Engineer jobs that are similar:\n\n $60,000 — $90,000/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\nBengaluru, Karnataka

\nWe are seeking a skilled Platform Engineer to join our team. They will be instrumental in developing and optimizing our cloud architecture as well as managing our development and analytics tooling. The ideal candidate has a proven track record of maintaining and developing cloud-based architecture which supports large-scale data initiatives for data science and software development teams. \n \nThe Platform Engineer will be responsible for designing, implementing, and managing cloud architectures to meet business requirements. The ideal candidate possesses expertise in translating business needs into scalable cloud solutions while ensuring security, reliability, and cost-effectiveness.\n\n\n\nResponsibilities:\n* Collaborate with business stakeholders to understand the product requirements and translate them into scalable and resilient cloud architectures.\n* Collaborate closely with Data Engineering, Data Science and Software Development teams to contribute to the design of the cloud solutions for our products.\n* End-to-end implementation of the optimized and secure cloud-based/cloud-native architecture. \n* Develop and document cloud architecture designs, ensuring alignment with industry best practices.\n* Provide expertise in cloud and platform engineering to the Product Data team, ensuring alignment with the company's strategic goals.\n* Contribution to the selection and integration of cloud-based  vendors, tools and frameworks.\n* Keep up with emerging trends in cloud engineering  and introduce new technologies or practices that can benefit the organization.\n* Implement security measures to safeguard cloud environments, including identity and access management, encryption, and compliance controls.\n* Conduct regular security assessments and address vulnerabilities promptly.\n* Monitor and optimize cloud infrastructure for performance, cost, and reliability.\n* Implement performance tuning strategies to enhance overall system efficiency.\n* Continuous improvement and innovation for cloud and platform engineering.\n* Implement and manage the provisioning of cloud resources based on project requirements.\n* Responsible for the maintenance and support of cloud-based and cloud-native architecture including access controls, security and networking.\n* Configure and fine-tune cloud infrastructure components for optimal performance.\n* Perform audits and assessments of cloud environments to ensure compliance with security and regulatory standards.\n* Provide recommendations for continuous improvement and adherence to best practices.\n* Lead the deployment of applications onto our cloud platform, ensuring seamless integration and functionality.\n* Manage and monitor cloud applications to maintain performance, availability, and scalability.\n\n\n\nQualifications:\n* 3-5 years of proven experience as a Platform Engineer or similar role in designing, implementing, and managing cloud architectures.\n* Expertise in constructing, installing, and maintaining large-scale cloud-native and cloud-based architecture.\n* Database management expertise: Postgres, Snowflake, Lucene-based search engines (Apache Solr/AWS OpenSearch/Elastic Search)\n\n\n* Cloud-Native tooling expertise: Amazon S3, AWS EMR, Amazon EC2 Amazon RDS, Amazon Sagemaker, Amazon ECS, Amazon ECR, Amazon VPC, Amazon IAM (*alternatives from other cloud providers are acceptable) \n* Cloud-based Application tooling: Databricks administration\n* Strong communication in English. Ability to communicate technical concepts to non-technical audience.\n* Cloud Certifications from Cloud providers (AWS. GCP, Azure) \n* Experience with Streaming Technologies such as Apache Kafka and AWS Kinesis\n* Experience Productionizing ML based cloud solutions.\n\n\n\n\n\n#LI-RT9\n\n\nEdelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.\n\n\nWe use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.\n\n\nDXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.\n\n\nTo learn more, visit: https://www.edelmandxi.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud and Engineer jobs that are similar:\n\n $70,000 — $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

\nAbout the Role: \n\nWe are building our documentation team and are looking for a Technical Writer to help lead the end-to-end vision, strategy, and implementation of Redpanda products. Reporting to the Technical Writing Manager, you will document multiple functional areas of Redpanda products, including all aspects of security, data balancing, and cluster configuration. You will advocate for the user experience of our products (including the core streaming platform and cloud SaaS areas), spearhead a user-centric approach, and help lead product strategy. You will be a foundational member of the documentation team, helping to build processes, and drive strategy. This is an opportunity to work closely with product and engineering leadership and teams at a fast-growing, well-funded startup.\n\nYou Will:\n\n\n* Collaborate with engineering teams to discuss technologies and workflows, and create top-notch documentation\n\n* Write, format, and edit content, including security configurations, cluster configuration, and Redpanda Cloud content\n\n* Contribute to web content design–a content design background is a plus\n\n* Facilitate knowledge sharing throughout our engineering, product management, and design teams and help produce accurate, well-written communications\n\n* Partner with content specialists to define documentation standards and best practices\n\n* Participate in assessing and proposing software and methods to continuously improve our documentation processes\n\n* Write and revise content/test features with the customer experience as the primary driver\n\n* Engage in community discussions with OSS, prospective, and paying customers\n\n* Be part of a diverse remote distributed team\n\n\n\n\nYou Have:\n\n\n* 4+ years of experience writing technical documentation for an external developer audience\n\n* Familiarity with basic software security fundamentals \n\n* Ability to distill complex technical concepts into clear, comprehensive, developer-focused documentation\n\n* Recent experience working in a docs-as-code environment \n\n* Understand and have worked on Git, open-source development, Asciidoc/Antora, front-end web development\n\n* Experience working with open source technologies and communities\n\n* Read and code in languages such as Java, golang or Python, and YAML–familiarity with data streaming and/or Apache Kafka a plus\n\n* Excellent information architecture and information design skills\n\n* Familiar working with Apache Kafka® (event streaming), databases, or distributed systems\n\n* Rabid desire to help our customers get the information they need quickly and easily\n\n* Excellent writing, editing, and verbal communication skills\n\n\n\n\n \n\nU.S. base salary range for this role is $144,000 - $170,000 (CA, NY, WA) and  $125,000 - $148,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Writer, Education, Cloud and Golang jobs that are similar:\n\n $65,000 — $95,000/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\nSan Francisco, California, United States

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\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 Design, Python, DevOps, NoSQL, Senior, Engineer and Backend 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