We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America’s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). 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.

While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.

For more information, please visit www.alpheya.com

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 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: 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 runbooks/service passports
• Drive reliability improvements: SLOs/SLIs, alert quality, release readiness checks, and operational standards across teams
• Execute and automate post-deployment validation (smoke/regression) using Playwright etc , writing test cases for every fix to prevent regressions.

Requirements

• 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

Good 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