{"schemaVersion":"jobsearcher.job.v1","id":"ddcae1b1692836d09a380d26","url":"https://jobsearcher.com/jobs/ddcae1b1692836d09a380d26","canonicalUrl":"https://jobsearcher.com/jobs/ddcae1b1692836d09a380d26","title":"Senior Software Engineer - Analytics Data Platform","description":"The Analytics Data Platform Batch team owns the platform that powers batch data processing across Datadog’s internal data infrastructure. We execute 800k+ Spark jobs daily - plus PySpark, Ray, and Python-based workloads - serving 50+ internal teams across billing, cost management, security intelligence, applied AI and more.We are a platform engineering team: our customers are Datadog’s internal data engineers and scientists, and our product is the infrastructure, abstractions, and tooling they build on top of. We operate at the intersection of distributed systems, developer experience, cost engineering, and AI-assisted automation - working on problems that affect pipelines at scaleAt Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.What You’ll Do:AI-driven version migration automation: Spark and JVMBuilding agentic tooling that analyzes compatibility, generates PRs, and orchestrates multi-datacenter testingEngine-agnostic batch executionPlatform reliability and scaleSpark Pod Autosizing - CPU and memory allocationsUnderstanding tradeoffs across execution modelsWho You Are:You have 6+ years of experienceYou have significant backend programming experience in one or more languages (Go, Java, Rust, Python, Scala)Spark internals/infrastructure - executor lifecycle, memory model, dynamic allocation, resource tuningExperience building platform or infrastructure that other engineers depend onDistributed systems engineer with experience building high performance large scale systemsKubernetes fundamentalsExcellent communication skills (English)High proactivity and cross-team collaboration experienceYou’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn howYou have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated outputBonus: AI/LLM integration in engineering workflows & Observability and cost attributionDatadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.Benefits and Growth:New hire stock equity (RSUs) and employee stock purchase plan (ESPP)Continuous professional development, product training, and career pathingIntradepartmental mentor and buddy program for in-house networkingAn inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)Access to Inclusion Talks, our Internal panel discussionsFree, global mental health benefits for employees and dependents age 6+Competitive global benefitsBenefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.#LI-HybridAbout Datadog:\r\nDatadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.Equal Opportunity at Datadog:\r\nDatadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law.We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Here are our Candidate Legal Notices for your reference.Privacy and AI Guidelines:\r\nAny information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.#J-18808-Ljbffr","company":"Datadog","rawCompany":"datadog","city":"Paris","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:23:26.424Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer - Analytics Data Platform","description":"The Analytics Data Platform Batch team owns the platform that powers batch data processing across Datadog’s internal data infrastructure. We execute 800k+ Spark jobs daily - plus PySpark, Ray, and Python-based workloads - serving 50+ internal teams across billing, cost management, security intelligence, applied AI and more.We are a platform engineering team: our customers are Datadog’s internal data engineers and scientists, and our product is the infrastructure, abstractions, and tooling they build on top of. We operate at the intersection of distributed systems, developer experience, cost engineering, and AI-assisted automation - working on problems that affect pipelines at scaleAt Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.What You’ll Do:AI-driven version migration automation: Spark and JVMBuilding agentic tooling that analyzes compatibility, generates PRs, and orchestrates multi-datacenter testingEngine-agnostic batch executionPlatform reliability and scaleSpark Pod Autosizing - CPU and memory allocationsUnderstanding tradeoffs across execution modelsWho You Are:You have 6+ years of experienceYou have significant backend programming experience in one or more languages (Go, Java, Rust, Python, Scala)Spark internals/infrastructure - executor lifecycle, memory model, dynamic allocation, resource tuningExperience building platform or infrastructure that other engineers depend onDistributed systems engineer with experience building high performance large scale systemsKubernetes fundamentalsExcellent communication skills (English)High proactivity and cross-team collaboration experienceYou’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn howYou have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated outputBonus: AI/LLM integration in engineering workflows & Observability and cost attributionDatadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.Benefits and Growth:New hire stock equity (RSUs) and employee stock purchase plan (ESPP)Continuous professional development, product training, and career pathingIntradepartmental mentor and buddy program for in-house networkingAn inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)Access to Inclusion Talks, our Internal panel discussionsFree, global mental health benefits for employees and dependents age 6+Competitive global benefitsBenefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.#LI-HybridAbout Datadog:\r\nDatadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.Equal Opportunity at Datadog:\r\nDatadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law.We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Here are our Candidate Legal Notices for your reference.Privacy and AI Guidelines:\r\nAny information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. 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