Software Engineer -Observability
Barclays · Bengaluru · Posted 2026-07-18
Tech stack: AWS, Docker, Kafka, Kubernetes, MongoDB
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About the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities:
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Qualifications:
- 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.
- 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, including: Loki, Tempo, Mimir.
- Support production systems, contributing to incident response, root‑cause analysis, and continuous improvement through enhanced instrumentation and operational feedback loops.
- Hands‑on experience with: Docker Desktop for local containerized development, IntelliJ IDEA or equivalent enterprise IDEs and Secure source control, branching strategies, and automated quality gates.
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
- This role is based out of Bengaluru.
Qualifications
- 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.
- 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, including: Loki, Tempo, Mimir.
- Support production systems contributing to incident response, root‑cause analysis, and continuous improvement through enhanced instrumentation and operational feedback loops.
- Hands‑on experience with: Docker Desktop for local containerized development, IntelliJ IDEA or equivalent enterprise IDEs and Secure source control, branching strategies, and automated quality gates.
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
- This role is based out of Bengaluru.
Responsibilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
- Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.