Note: The job is a remote job and is open to candidates in USA. Activision is a developer, publisher, and distributor of interactive entertainment and gaming experiences. The company is seeking a Senior Data Ops Engineer to improve the reliability, observability, and operational maturity of data platforms, Kubernetes-based systems, internal applications, and cloud environments. The role focuses on incident response, monitoring, automation, deployment reliability, and collaboration with engineering teams across data and platform services.
Responsibilities
- Monitor service health, respond to alerts, and participate in incident response for cloud, Kubernetes, application, and data platform environments
- Investigate reliability issues across Kubernetes, networking, DNS, application runtime behavior, Databricks jobs, Spark workloads, orchestration systems, event systems, and dependent services
- Support the reliability of internal applications, APIs, workers, streaming consumers, event-driven services, and deployment workflows used by data engineering and business teams
- Build and maintain dashboards, alerting, runbooks, and operational documentation that improve detection and recovery speed
- Improve observability for Databricks environments, including job health, Spark streaming workloads, structured streaming metrics, cluster behavior, failures, latency, throughput, and cost signals
- Help route Spark streaming metrics, operational logs, event-system signals, and platform health signals into monitoring tools such as Grafana
- Contribute to alerting patterns for Databricks workflows, Airflow/Astronomer DAGs, dbt jobs, data freshness, pipeline failures, event lag, dead-letter queues, and production data dependencies
- Contribute scripts and automation that reduce repetitive operational work and improve environment hygiene
- Support release and deployment reliability by validating changes, improving rollback readiness, and strengthening change safety
- Partner with data engineers, analytics engineers, and software engineers to improve reliability across pipelines, services, internal tools, event systems, and data products
- Participate in post-incident follow-up and help close corrective actions that prevent recurrence
- Support platform modernization and migration efforts, including orchestration platform changes, deployment system improvements, and shared reliability standards
Skills
- 5+ years of experience in SRE, DevOps, cloud infrastructure, platform engineering, software engineering, data platform operations, or related production-support roles
- Hands-on experience supporting Kubernetes-based workloads, deployment systems, cloud infrastructure, or production application environments
- Familiarity with Linux, HTTP, DNS, containers, Kubernetes, Git-based workflows, and scripting in Bash, Python, or similar languages
- Experience with monitoring, logs, metrics, dashboards, alerting, and incident management practices
- Comfort working with event systems such as Kafka, Google Pub/Sub, Kinesis, or similar technologies, including topics, subscriptions, consumers, retries, lag, and dead-letter queues
- Strong troubleshooting mindset, clear communication, and comfort operating in a production-support environment
- Interest in data platforms, data engineering systems, orchestration, streaming workloads, event-driven architecture, internal developer tools, and production data services
- Experience with Kubernetes deployment and release tooling such as Helm, ArgoCD, or similar GitOps workflows
- Experience with CI/CD automation using GitHub Actions, GitLab CI, Jenkins, or similar pipelines
- Familiarity with infrastructure as code using Terraform or similar provisioning tools
- Familiarity with Databricks, Spark, Spark Structured Streaming, Airflow, Astronomer, dbt, Kafka, Pub/Sub, object storage, or lakehouse architectures
- Experience with observability tools such as Grafana, Prometheus, Cloud Monitoring, Datadog, Splunk, or similar platforms
- Experience supporting internal applications, APIs, event-driven services, streaming consumers, or backend workers
- Exposure to data reliability concepts such as freshness, latency, completeness, pipeline health, data quality checks, and dependency-aware alerting
- Exposure to SLOs, SLAs, error budgets, postmortems, or formal reliability practices
Benefits
- Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance, subject to eligibility requirements.
- 401(k) with Company match, tuition reimbursement, charitable donation matching, subject to eligibility requirements.
- Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave, subject to eligibility requirements.
- Mental 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, subject to eligibility requirements.
- If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
Company Overview
Company H1B Sponsorship