Senior Data Platform Reliability Engineer | Onsite

About OpsWerks

OpsWerks is a technical consulting company specializing in operational services for the high-tech industry. We partner with platform and infrastructure teams to operate multi-cloud environments, execute complex migrations, and enable seamless, scalable application deployments.

Your Role

As a Senior Data Platform Engineer, you will be responsible for the operation, reliability, and continuous improvement of data platforms running on Kubernetes (on-premise and/or AWS/GCP), including frameworks such as DoEKS (Data on EKS) and AIoEKS (AI on EKS).

• Operate, maintain, and enhance data platforms deployed on Kubernetes environments
• Deploy platform updates, releases, and configuration changes using GitOps/DevOps practices
• Monitor system health using logs, metrics, and observability tools to ensure high availability
• Participate in incident response, root cause analysis (RCA), and 24x7 on-call rotations
• Improve platform reliability through automation, observability, and self-service tooling
• Troubleshoot user and system issues, including integrations, performance bottlenecks, and misconfigurations
• Collaborate with cross-functional teams to ensure seamless data platform operations
• Provide technical mentorship and guidance to junior engineers
• Champion platform standards, security best practices, and operational excellence

• 3+ years experience supporting production data platforms (e.g., Spark, Airflow, Jupyter)
• 5+ years hands-on experience in ETL/ELT pipelines, data processing, and transformation (Python/Java & SQL)
• Strong experience with Kubernetes, including managed services (AWS EKS / GCP GKE)
• Solid understanding of Linux systems, microservices architecture, and service communication patterns
• Strong troubleshooting skills (application failures, latency, scaling, resource contention)
• Proficiency in monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK, Splunk)

• Experience with modern data/AI platforms: Flink, Trino, Druid, Ray.io
• Automation and scripting skills (Bash, Python)
• Relevant certifications (e.g., CKAD, AWS Certified Data Engineer)

• Work on cutting-edge data platforms in multi-cloud environments
• Exposure to large-scale, enterprise-grade infrastructure
• Collaborative, engineering-driven culture focused on reliability and innovation
• Opportunities for technical growth, certification, and mentorship