Requirements

Strong programming ability in one or more modern languages – Java or Go strongly preferred – with experience building maintainable automation beyond simple scripts.
Good understanding of networking, messaging, distributed systems, data structures, algorithms and software design fundamentals.
Hands-on experience with observability tooling, including metrics, logging, tracing and dashboarding platforms such as Prometheus, Grafana, ELK or OpenTelemetry.
Proven ability to investigate production issues, identify root causes and deliver durable engineering fixes that improve system behaviour and reduce repeat incidents.
Excellent written and verbal communication skills, with the ability to translate complex technical issues into clear updates for technical, business and senior stakeholders.

Nice to Haves

Bachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience.
Experience with public cloud platforms – GCP preferred – cloud-native architecture, Kubernetes, microservices or service mesh technologies.
Familiarity with relational databases and/or data-intensive platforms
Experience supporting mission-critical production systems, preferably in a financial services environment.
Experience implementing progressive delivery approaches such as canary releases, blue/green deployments, feature flags or chaos/game days.
Experience developing AI-assisted operations capabilities, such as alert enrichment, anomaly detection, triage support or runbook automation.

Reliability engineering: SLOs, SLIs, error budgets, incident reduction and service health.
Production excellence: monitoring, alerting, observability, runbooks, handoffs and operational readiness.
Engineering mindset: automation, coding, debugging, testing, scalable design and systems thinking.
Incident leadership: calm execution, escalation discipline, clear communication and blameless learning.