{"id":3116676,"url":"https://alion.io/job/xboxgaming-senior-data-ops-engineer-data-activation-products-activision","title":"Senior Data Ops Engineer, Data Activation & Products - Activision","company":{"id":4431652,"name":"Xbox","domain":"xboxgaming.com","url":"https://alion.io/company/xboxgaming","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Monica, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":102800,"max":190204,"currency":"USD","period":"year","gross":null,"usd_annual":190204},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Bash","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"DNS","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"ArgoCD","optional":true},{"name":"CI/CD","optional":true},{"name":"Datadog","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"GitOps","optional":true},{"name":"Helm","optional":true},{"name":"Jenkins","optional":true},{"name":"Prometheus","optional":true},{"name":"SLI/SLO/SLA","optional":true},{"name":"Splunk","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-27T18:49:38Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Job Title:\nSenior Data Ops Engineer, Data Activation & Products - ActivisionRequisition ID:\nR028025Job Description:\nYour Mission\nWe are looking for a Site Reliability Engineer to help improve the reliability, observability, and operational maturity of our data platforms, Kubernetes-based deployment systems, internal applications, and cloud environments.\nThis role sits at the intersection of SRE, DevOps, and data. The ideal candidate is comfortable operating production systems, troubleshooting across infrastructure and applications, and helping teams deploy and support services more safely.\nThe role does not require someone to be a data engineer, but they should be excited about the systems that support modern data engineering, including Databricks, Spark, Airflow/Astronomer, streaming pipelines, event systems, internal tools, and backend services.\nWe are especially interested in a creative, curious engineer who enjoys learning new technology and using AI-accelerated development practices to solve problems faster and more thoughtfully. You should be excited to experiment with agentic development tools, automation frameworks, and emerging platform capabilities, while applying sound engineering judgment.\nThis role has the option to be based in our Los Angeles (Pen Factory) office and follows an onsite work schedule of Monday through Thursday or be remote. Work arrangements may change at the company’s discretion to meet business needs.\nPriorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:\nMonitor service health, respond to alerts, and participate in incident response for cloud, Kubernetes, application, and data platform environments.\nInvestigate reliability issues across Kubernetes, networking, DNS, application runtime behavior, Databricks jobs, Spark workloads, orchestration systems, event systems, and dependent services.\nSupport the reliability of internal applications, APIs, workers, streaming consumers, event-driven services, and deployment workflows used by data engineering and business teams.\nBuild and maintain dashboards, alerting, runbooks, and operational documentation that improve detection and recovery speed.\nImprove observability for Databricks environments, including job health, Spark streaming workloads, structured streaming metrics, cluster behavior, failures, latency, throughput, and cost signals.\nHelp route Spark streaming metrics, operational logs, event-system signals, and platform health signals into monitoring tools such as Grafana.\nContribute to alerting patterns for Databricks workflows, Airflow/Astronomer DAGs, dbt jobs, data freshness, pipeline failures, event lag, dead-letter queues, and production data dependencies.\nContribute scripts and automation that reduce repetitive operational work and improve environment hygiene.\nSupport release and deployment reliability by validating changes, improving rollback readiness, and strengthening change safety.\nPartner with data engineers, analytics engineers, and software engineers to improve reliability across pipelines, services, internal tools, event systems, and data products.\nParticipate in post-incident follow-up and help close corrective actions that prevent recurrence.\nSupport platform modernization and migration efforts, including orchestration platform changes, deployment system improvements, and shared reliability standards.\nQualifications\n5+ years of experience in SRE, DevOps, cloud infrastructure, platform engineering, software engineering, data platform operations, or related production-support roles.\nHands-on experience supporting Kubernetes-based workloads, deployment systems, cloud infrastructure, or production application environments.\nFamiliarity with Linux, HTTP, DNS, containers, Kubernetes, Git-based workflows, and scripting in Bash, Python, or similar languages.\nExperience with monitoring, logs, metrics, dashboards, alerting, and incident management practices.\nComfort working with event systems such as Kafka, Google Pub/Sub, Kinesis, or similar technologies, including topics, subscriptions, consumers, retries, lag, and dead-letter queues.\nStrong troubleshooting mindset, clear communication, and comfort operating in a production-support environment.\nInterest in data platforms, data engineering systems, orchestration, streaming workloads, event-driven architecture, internal developer tools, and production data services.\nNice to Have\nExperience with Kubernetes deployment and release tooling such as Helm, ArgoCD, or similar GitOps workflows.\nExperience with CI/CD automation using GitHub Actions, GitLab CI, Jenkins, or similar pipelines.\nFamiliarity with infrastructure as code using Terraform or similar provisioning tools.\nFamiliarity with Databricks, Spark, Spark Structured Streaming, Airflow, Astronomer, dbt, Kafka, Pub/Sub, object storage, or lakehouse architectures.\nExperience with observability tools such as Grafana, Prometheus, Cloud Monitoring, Datadog, Splunk, or similar platforms.\nExperience supporting internal applications, APIs, event-driven services, streaming consumers, or backend workers.\nExposure to data reliability concepts such as freshness, latency, completeness, pipeline health, data quality checks, and dependency-aware alerting.\nExposure to SLOs, SLAs, error budgets, postmortems, or formal reliability practices.\nWhat Success Looks Like\nKubernetes and deployment workflows are easier to operate, monitor, and troubleshoot.\nDatabricks, Spark, streaming, orchestration, event-driven, and dbt environments have clearer dashboards, alerts, and runbooks.\nSpark streaming metrics, event-system health signals, and platform logs are easier to access, visualize, and operationalize through tools such as Grafana.\nIncidents are detected faster, resolved more efficiently, and followed up with meaningful corrective actions.\nData engineers, analytics engineers, and software engineers can deploy changes more safely and with greater confidence.\nRepetitive operational work is reduced through automation and better platform standards.\nPlatform migrations and modernization efforts are supported with strong reliability, observability, and operational practices.\nOur World\nAt Activision, we strive to create the most iconic brands in gaming and entertainment. We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences.\nWe’re not just looking back at our decades-long legacy; we’re forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization.\nWe’re in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater - this could be your opportunity to level up.\nReady to Activate Your Future?\nRewards\nWe provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:\nMedical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;\n401(k) with Company match, tuition reimbursement, charitable donation matching;\nPaid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;\nMental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;\nIf the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.\nEligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/.\nIn the U.S., the standard base pay range for this role is $102,800.00 - $190,204.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. 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