DevOps Engineer

Senior SRE (BI Ecosystems & Cloud Infrastructure)

The Mission

We are looking for a Senior SRE specialized in BI Ecosystems to join our mission-critical Infrastructure team. In this role, you won’t just “maintain” systems; you will be the master weaver connecting our advanced Data Analytics tools with a rock-solid, automated GCP/AWS backbone. You will bridge the gap between traditional Business Intelligence and modern Cloud Engineering, ensuring our data flows are fast, our visualizations are seamless, and our infrastructure is invisible.

What You Will Do

• Master the Orchestration (GCP & GKE): Take full ownership of our Google Kubernetes Engine (GKE) clusters. Beyond pods and services, you will manage advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to ensure our data platforms never skip a beat.
• Advance Data Architectures (Lakehouse): Design and support a unified Data Lakehouse architecture by integrating BigQuery and Cloud Storage. Break down silos so raw data and analytical models coexist in a high-performance ecosystem. Implement robust governance, security policies, and cost-effective scaling to provide a true “single source of truth.”
• Evangelize Infrastructure as Code (IaC): Drive 100% immutability. Use Terraform to automate the entire lifecycle of our GCP resources (Compute Engine, Cloud Run, Cloud SQL), ensuring consistency across Dev, Staging, and Production.
• Empower DataViz Excellence: Deploy, optimize, and scale BI environments (Qlik Sense, Tableau, or similar) on GCP. Handle everything from SSO/IAM authentication to high-performance connectivity with backend data sources.
• Hybrid Cloud & Legacy Modernization: Manage critical AWS resources (EC2, S3) and ensure seamless interoperability with GCP. Lead the charge in decomposing and migrating legacy monolithic systems into modern, microservices-based architectures.
• Data Engineering Collaboration: Partner closely with Data Engineers to build and maintain robust pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery.
• Reliability, Security & FinOps:
  
  • CI/CD: Design sophisticated pipelines (GitLab CI / GitHub Actions) integrating DevSecOps best practices.
  • Observability: Implement deep telemetry and monitoring via Google Cloud Operations Suite and Grafana.
  • FinOps: Act as the guardian of cloud spending by identifying and eliminating waste through architectural optimization.

Who You Are (Requirements)

• Cloud Expertise: Proven experience designing and managing complex enterprise environments in GCP (primary) and AWS.
• Kubernetes Mastery: Deep operational knowledge of GKE, including multi-tenant setups, advanced networking, and security policies.
• Terraform / IaC: Demonstrated ability to write modular, reusable, and secure Terraform configurations.
• BI Infrastructure Savvy: Hands-on experience deploying, tuning, and securing enterprise BI platforms (Tableau, Qlik Sense, or Power BI).
• Data Ecosystems: Solid grasp of Data Lakehouse paradigms, modern data governance, and tools like Airflow/Composer, BigQuery, and Dataflow.
• Automation & Scripting: Strong coding skills in Python, Bash, or Go for custom tooling and automation.
• Security & Compliance: Practical understanding of cloud security fundamentals, IAM least privilege, data encryption, and network isolation standards.

Why Join Us?

• High-Impact Role: You are not just a cog in the machine—you are designing and building the machine.
• Modern Tech Stack: Work hands-on with bleeding-edge Cloud and Data technologies (GKE, Lakehouse, Serverless, IaC).
• Engineering Culture: We value technical craft, proactive ownership, and a transparent “fail fast, learn faster” mindset.
• Continuous Growth: Direct investment in your professional development, advanced certifications, and technical conferences.

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