Hybrid Senior Data Core Engineer

Posted 3 weeks ago

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About the role

  • Designing and optimizing the architecture of the Data Core platform for high scalability, availability, and performance.
  • Building and improving data pipelines, orchestration frameworks, and monitoring solutions to support real-time analytics and mission-critical workloads.
  • Leading initiatives in observability, automation, and system resilience (SRE), ensuring uptime and stability for customers in production.
  • Driving performance tuning across distributed systems and data services (SQL/NoSQL, message queues, caching, etc.).
  • Collaborating cross-functionally with cloud, product, and DevOps teams to enhance CI/CD pipelines and deployment automation.
  • Mentoring junior engineers and contributing to best practices around reliability, testing, and data operations.
  • Championing cloud-native engineering across Azure and GCP environments.

Requirements

  • 5+ years of experience in backend or data engineering
  • Strong expertise in Java (or a JVM-based language) and data platform technologies (e.g., Kafka, Spark, PostgreSQL, Elastic, Redis)
  • Deep understanding of cloud infrastructure (Azure and/or GCP) and containerized environments (Kubernetes, Docker)
  • Proven experience in observability, automation, and system reliability (SRE, Prometheus, Grafana, Terraform, etc.)
  • Strong grasp of CI/CD pipelines, DevOps workflows, and Infrastructure as Code
  • Excellent analytical, problem-solving, and debugging skills across complex systems.
  • A collaborative mindset and the ability to lead by example in a fast-paced, innovative environment.

Benefits

  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities

Job title

Senior Data Core Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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