Requirements

Strong hands-on Python skills for automation and tooling.
Experience in SRE, Production Engineering, Platform Engineering, or related fields with production ownership.
Proven ability to build automation and diagnostic tooling to improve recovery times and reduce operational toil.
Deep knowledge of cloud-native technologies such as Kubernetes, containers, and distributed systems, including their failure modes.
Experience with observability platforms like Datadog and strong monitoring intuition.
Familiarity with Infrastructure as Code (Terraform) and GitOps deployment workflows (e.g., ArgoCD, GitHub Actions).
Knowledge of technology stacks including Java, Go, Kafka, Redis, Snowflake, and Postgres.
Strong analytical and problem-solving skills for ambiguous, high-stakes production issues.
Product mindset focused on usability, adoption, and documentation of operational tools.
Excellent communication skills for collaboration across engineering, operations, and business teams.
Self-starter mentality with initiative and minimal supervision.
Curiosity and continuous learning mindset; fintech or financial industry experience is a plus.

What You'll Be Doing

Owning the health, resilience, and recovery of production systems.
Designing and building monitoring and observability platforms to reduce alert fatigue and speed root-cause analysis.
Developing automation and self-healing capabilities to reduce mean time to recovery without manual intervention.
Analyzing incidents to identify trends and engineer prevention solutions.
Creating reusable runbooks, diagnostic tooling, and recovery playbooks.
Establishing golden-path operational workflows to simplify safe and reliable engineering practices.
Partnering with Platform Engineering on CI/CD pipelines, deployment safety, and infrastructure resilience.
Championing Infrastructure as Code, GitOps, and SRE best practices.
Measuring production health using SLIs/SLOs/SLAs and driving reliability-focused engineering priorities.
Exploring emerging technologies like AI-assisted diagnostics and development tooling.

Opportunity to work on a modern cloud-native platform using technologies such as Kubernetes, AWS, Terraform, ArgoCD, Kafka, Redis, PostgreSQL, Snowflake, Datadog, Python, Go, and Java.
Be part of a team that treats reliability as a product and values engineering excellence.
Direct impact on reducing downtime and operational toil through automation and tooling.
Collaborative cross-functional environment with engineering, operations, and business teams.
Support for continuous learning and innovation in production system management.