Software Engineer -Observability

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. Join us as a Software Engineer -Observability at Barclays, where you’ll spearhead the evolution of our digital landscape, driving innovation and excellence. You’ll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. The ideal candidate will have deep expertise in cloud-native technologies, distributed streaming platforms, Kubernetes orchestration, and multi-region architecture patterns.

To be a successful Software Engineer -Observability, you should have experience with:

• Design, implement, and integrate end‑to‑end observability solutions by instrumenting applications and platforms with Metrics, Events, Logs, and Traces (MELTs), ensuring consistent visibility across distributed systems.
• Integrate application using Open Telemetry (OTEL), with strong preference for the Grafana suite, enabling unified monitoring, visualization, and operational insight.
• Develop and maintain high‑quality dashboards that provide actionable insights into system health, performance, capacity, and business‑critical metrics, tailored for engineering, operations, and senior stakeholders.
• Define and implement alerts, notifications, and escalation mechanisms using metrics and logs.
• Apply observability best practices to Kafka‑based event‑driven systems, Integrate Kafka clients (producers and consumers), including monitoring broker health, consumer lag, throughput, latency, error rates, and topic‑level behavior.
• Implement observability for NoSQL data stores (MongoDB preferred), capturing performance metrics, query behavior, resource utilization, and failure patterns to support proactive issue identification.
• Work within cloud‑native environments (AWS preferred) to implement observability across compute, storage, networking, and managed services, ensuring alignment with Barclays security and resilience standards.

Some Other Highly Valued Skills May Include (Mandatory)

• Contribute as a Individual Contributor (ICE), owning end‑to‑end technical delivery of observability capabilities, from design and implementation through to production readiness and ongoing optimization, with minimal supervision and strong engineering accountability.
• Take full ownership of assigned observability solutions, demonstrating accountability for design quality, operational stability, performance, security, and alignment with Barclays engineering standards.
• Operate effectively within Agile / Scrum delivery models, actively participating in sprint planning, refinement, reviews, and retrospectives, with practical experience using Jira for backlog management, tracking, and delivery transparency.
• Demonstrate excellent verbal and written communication skills, with the ability to clearly articulate technical concepts to both technical and non‑technical stakeholders.
• Collaborate effectively with cross‑functional teams, including application engineers, DevOps, SRE, security, platform, and architecture teams, to deliver cohesive and well‑integrated solutions.
• Exhibit a strong sense of ownership and self‑motivation, proactively identifying risks, gaps, and improvement opportunities, and driving them to resolution without the need for close oversight.
• Demonstrate a passion for innovation and continuous learning, staying current with cloud‑native technologies, observability tooling, and industry best practices, and applying relevant advancements to improve platform reliability and efficiency.
• Deploy and operate applications and monitoring components on Kubernetes, with hands‑on experience observing containerized workloads, pods, services, and cluster‑level behavior.
• Integrate observability into CI/CD and DevOps pipelines using Git and DevOps toolchains, enabling early detection of issues through automated checks, deployment health validation, and post‑release monitoring.
• Apply strong understanding of microservices architecture, event‑driven design, and distributed systems principles to ensure observability is designed‑in rather than retrofitted.
• Demonstrate hands‑on understanding of stream‑processing frameworks such as Apache Flink, with the ability to observe, monitor, and troubleshoot stateful stream‑processing jobs, including latency, back‑pressure, checkpointing, and failure recovery.
• Implement and operate observability using the Grafana LGTM stack, inclu…