Role Description

We are looking for a highly skilled DevOps Engineer who can build and operate big data infrastructures, fast-changing web apps, real-time APIs and a lot of traffic. People who are technical experts get things done by using their smarts and whatever tools make sense to get the job done.

What you’ll be doing:

• Provide expertise in the design, implementation, and operation of scalable distributed systems to assist development teams in making the right decisions early
• Develop new methods and tools to automate and self-heal production environments
• Apply software development workflows to operational environments
• Test and tune newly developed systems to prepare them for production deployment and ensure maximum performance at minimum cost
• Automate packaging, deployment, and configuration of internally developed applications
• Be the expert in our internal applications, from the high-level architecture down to the code
• Implement new application features, especially features supporting operational excellence: stability, scalability, redundancy, etc.
• Build tools that make your colleagues more effective
• Lead, coach and grow our GitDevSecOps practice by bridging development, Ops and QA
• Become and stay an expert in current and emerging technologies and tools
• Contribute to Open Source solutions and communities we use wherever you can
• Measure everything, providing critical operational insight into our applications

Requirements and Qualifications:

• Bachelor’s degree or higher in Computer Science

• Experience in the early-mid stages of a fast-growing company

• 6+ years of professional experience with the following:

  • Automated unit and integration tests

  • Continuous Integration/Continuous Deployment (CI/CD)

You have a full understanding of GitOps: CI (Github Actions), CD (ArgoCD, Flux), IaC (Terraform) and are experienced with:

• Container Orchestration (Docker, Kubernetes, Helm)
• the key pillars of Observability (Logging, Metrics and Tracing)
• using tools like OpenTelemetry, Prometheus, DataDog etc
• Monitoring and Alerting using Kubernetes Prometheus stack (Prometheus, Grafana, AlertManager)
• at least one programming language (preferably Go, Python, Scala, and/or Java, but any language will do)

Our Tech Stack

• Golang gRPC

• ReactJS, MaterialUI, Redux, Redux-Saga

• Spark / Apache Airflow / Scala / Java / Python

• Postgres / ScyllaDB / Snowflake / Redis / ElasticSearch

• Google Big Query

• Docker / Kubernetes / Terraform / AWS / GCP / Azure