Senior Devops Engineer

We are seeking a hands‑on Senior DevOps Engineer to join our Data and Analytics Platform team, driving the design and implementation of our next‑generation cloud‑based, streaming Data Mesh platform. This role is pivotal for enabling teams to create scalable, data‑driven products and advancing our application modernization strategy. Design and Implement Cloud Infrastructure : Architect and deploy scalable cloud infrastructure using Infrastructure as Code (IaC) principles to support our Data Mesh platform. Experience with major cloud providers (AWS / Azure) and modern IaC tools (Terraform, CloudFormation) is essential. Build Automation Pipelines : Develop and maintain CI / CD pipelines for data products, ensuring reliable deployment, testing, and monitoring of data infrastructure and applications. Experience with tools like Jenkins, GitLab CI, or GitHub Actions is required. Implement Platform Observability : Design and deploy comprehensive monitoring, logging, and alerting solutions across the data platform. Experience with tools like Datadog, Prometheus, Grafana, ELK stack, or similar technologies is crucial. Enable Self‑Service Infrastructure Develop automated provisioning systems for data infrastructure Create and maintain infrastructure templates and patterns Implement GitOps workflows for infrastructure management Build developer portals and self‑service tooling Security and Compliance Automation Implement security controls and compliance checks as code Automate security scanning and vulnerability management Design and implement IAM and access management solutions Maintain audit trails and compliance reporting automation Performance Optimization Monitor and optimize platform performance Implement auto‑scaling solutions design for high availability and disaster recovery Optimize cost through infrastructure efficiency Lead Platform Re‑Architecture Transform our existing data platform architecture to align with Data Mesh principles Design and implement our Apache Iceberg adoption strategy, enabling ACID transactions and time travel capabilities Create standardized patterns for teams to effectively adopt and optimize Iceberg tables Drive Release Excellence Establish automated release processes that balance agility with platform stability Build deployment frameworks with comprehensive validation, monitoring, and rollback capabilities Implement coordinated release strategies across distributed domains Enable Technical Success Design reference architectures and implementation patterns for domain teams Lead technical design reviews and architecture governance Provide technical guidance during the transition to Data Mesh architecture What We’re Looking For 8+ years of experience in DevOps / Platform Engineering roles within a data operations team Cloud & Infrastructure Extensive experience with AWS, particularly EKS and EKS Anywhere Deep expertise in Kubernetes and container orchestration Strong background in Infrastructure as Code using Terraform and Terragrunt Experience with GitOps practices using ArgoCD Knowledge of distributed systems and event‑driven architectures Strong knowledge of logging, monitoring, APM tracing and alerting tools (ELK, Datadog, Prometheus, Grafana, etc.) Development & Engineering Proficient in Java development and JVM optimization Experience with build tools (Maven / Gradle) and dependency management Strong background in unit testing frameworks and testing practices Expertise in Git version control and collaborative development Experience with Apache Kafka and Kafka Streams Background in monitoring and performance optimization for Java applications CI / CD & Automation Experience designing and managing Jenkins / Github / Gitlab pipelines Strong scripting skills (Python, Bash) Understanding of DevOps practices and automation principles Preferred Qualifications Experience with data mesh or similar distributed data architectures Relevant cloud certifications Experience building developer platforms or portals Background in DataOps practices #J-18808-Ljbffr