The Role
We're building a team that owns production incident response, deep debugging, and permanent fixes across application, data, and deployment layers.
This is not a tickets-only ops role. You will write code, ship fixes safely, and harden the platform so issues don't repeat.
Note: This is a SRE/software engineering role with real production ownership. You'll combine engineering and operations to own outcomes end-to-end: investigate incidents, ship code fixes, and prevent repeat issues through tests, observability, and hardening.
What You'll Do
- Lead and execute production incident response: triage, mitigation, stakeholder communication, and coordination across teams
- Debug and fix issues across Go services (mandatory) and the broader stack (Node.js services where relevant)
- Work across service boundaries: GraphQL/RPC, distributed tracing, dependency failures, performance bottlenecks, and safe degradation patterns
- Troubleshoot Kubernetes workloads and deployments
- Diagnose PostgreSQL/CNPG issues
- Handle production bugs that span application + data pipelines (ETL/Snowflake mappings), including backfills/replays and data-quality validation
- Build prevention: add regression tests, improve observability , and maintain run books/service passports
- Drive reliability improvements: SLOs/SLIs, alert quality, release readiness checks, and operational standards across teams
Requirements
What we're looking for (must-have)
- 7+ years in SRE / Production Engineering / Platform Engineering (reliability-focused)
- Strong Go (mandatory): ability to read, debug, and ship production fixes in Go codebases
- Proven experience debugging distributed systems in production (latency, error rates, timeouts, retries, cascading failures)
- Strong hands-on experience with Kubernetes in production environments
- Experience with Helm and GitOps workflows (FluxCD preferred; ArgoCD acceptable)
- Solid PostgreSQL troubleshooting experience (performance, incident patterns, migrations)
- Observability experience (metrics/logging/tracing; Datadog/Grafana/Tempo/Loki experience is a plus)
- Strong incident leadership: calm under pressure, clear communication, structured problem-solving
- Engineering hygiene: PR discipline, reviews, testing mindset, safe rollouts/rollbacks
- Comfortable with IAM/security fundamentals in real production systems: OAuth2/OIDC basics, RBAC/least privilege, and safe secrets handling
Nice-to-have
- Node.js backend experience in production
- Experience in FinTech / regulated environments / high-availability systems (auditability, change control, incident rigor)
- Data reliability experience: ETL monitoring, reconciliation, Snowflake operations, schema/mapping drift handling
- Reliability patterns common to trading/fintech platforms: correctness and data integrity mindset (idempotency, reconciliation), resilient partner integrations, and strong observability for critical user journeys
Why join
- Build a new function with real impact on reliability and engineering culture
- Work across the full production surface area: application + platform + database + data pipelines + Our Whole Product
- High ownership role: you'll influence production standards, tooling, and release safety across teams.
