We are a B2B Wealth Tech startup based in Abu Dhabi and backed by BNY Mellon and Lunate. The company has raised $300M to build a state‑of‑the‑art wealth technology platform.
Our mission is to power and grow our clients’ Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.
RoleWe’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. This is a 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.
- 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:
Graph
QL/RPC, distributed tracing, dependency failures, performance bottlenecks, and safe degradation patterns - Troubleshoot Kubernetes workloads and deployments
- Diagnose Postgre
SQL/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 runbooks/service passports
- Drive reliability improvements: SLOs/SLIs, alert quality, release readiness checks, and operational standards across teams
- 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 Git Ops workflows (FluxCD preferred; ArgoCD acceptable)
- Solid Postgre
SQL 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
- Node.js backend experience in production
- Experience in Fin Tech/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
Mid‑Senior level
Employment typeFull‑time
Job functionIT Services and IT Consulting
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Senior Software Engineer, Systems Infrastructure
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