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