Senior Production Engineer
Own production reliability and operational excellence by supporting incidents while building automation, observability, self-healing, and diagnostic tooling. The role requires strong Python, cloud-native, Kubernetes, distributed-systems, and infrastructure-as-code experience.
About the job
Responsibilities
- Own the health, resilience, and recovery of production systems.
- Design and build monitoring and observability platforms that reduce alert fatigue and accelerate root-cause analysis.
- Develop automation and self-healing capabilities for diagnosis and recovery workflows.
- Analyze incidents, identify systemic trends, and prevent recurring failures.
- Build reusable runbooks, diagnostic tooling, and recovery playbooks.
- Create reliable, standardized operational workflows for engineering teams.
- Partner with Platform Engineering on CI/CD pipelines, deployment safety, and infrastructure resilience.
- Champion Infrastructure as Code, GitOps, and SRE practices.
- Measure production health through SLIs, SLOs, and SLAs and use reliability data to guide priorities.
- Explore AI-assisted diagnostics and developer tooling.
Requirements
- Strong hands-on Python skills for automation and tooling.
- Experience in SRE, Production Engineering, Platform Engineering, or a related discipline with direct production ownership.
- Demonstrated experience building automation and diagnostic tooling that improves recovery times or reduces operational toil.
- Deep familiarity with cloud-native technologies, Kubernetes, containers, and distributed systems.
- Experience with observability platforms such as Datadog.
- Exposure to Infrastructure as Code with Terraform and GitOps deployment workflows using ArgoCD, GitHub Actions, or similar tools.
- Familiarity with Java, Go, Kafka, Redis, Snowflake, and PostgreSQL.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Product mindset for internal operational tooling, including usability, adoption, and documentation.
- Self-starter mentality and continuous-learning mindset.
Nice-to-have
- Fintech or financial industry experience.
Technology
- Kubernetes, AWS, Terraform, ArgoCD, GitHub Actions
- Kafka, Redis, PostgreSQL, Snowflake
- Datadog, Python, Go, Java
- gRPC, Protobuf, internal platform APIs, and developer tooling
Skills
Python, Kubernetes, AWS, Terraform, Argo CD, GitHub Actions, Datadog, Kafka, Redis, Snowflake, Postgres, Go, Java, gRPC, Protobuf
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