Senior Technical Lead - DevOps, Python, Kubernetes

About the Role

Senior Technical Lead \- DevOps, Python, Kubernetes Chennai, Tamil Nadu **Job Summary** --------------- DevOps Engineer Enable safe, repeatable and observable delivery of Treasury workloads on GCP. **Programme** Treasury Transformation **Role family** DevSecOps / Platform Engineering **Primary location** India\-based delivery, integrated with LBG teams **Role purpose** Build and operate the delivery automation, runtime patterns and shared platform services needed for secure, resilient and productive engineering teams. **Role accountabilities** ========================= * Create and maintain CI/CD pipelines, deployment automation, artefact management and environment promotion controls. * Implement infrastructure as code and reusable GCP runtime patterns for UI, APIs, data and orchestration workloads. * Embed automated testing, code quality, security scanning and policy checks into delivery flows. * Provide central logging, metrics, traces, alerting and operational dashboards. * Engineer IAM, secrets, encryption, network controls, mTLS and least\-privilege access with security specialists. * Design for high availability, autoscaling, backup, disaster recovery, resilience and cost optimisation. * Support environment provisioning, release management, incident response and service recovery. * Improve developer experience through paved roads, self\-service capabilities and clear operational documentation. **Core skills and experience** ============================== * GCP platform engineering and production operations. * CI/CD tooling, containers, infrastructure as code and artefact management. * Cloud Run and relevant managed\-service deployment patterns. * Observability, SRE practices, alert design and incident management. * IAM, network security, secrets and secure software supply chain controls. * Automation using suitable scripting and configuration languages. * Experience supporting data pipelines, APIs, web applications and event\-driven services. **Leadership expectations** =========================== * Lead by enabling teams rather than controlling every deployment. * Make reliability, security and cost risks visible and actionable. * Coach teams in operational ownership, runbooks and incident learning. * Drive standards through reusable automation and sensible defaults. * Coordinate calmly across engineering, security and service\-management groups during issues. **Productivity and delivery expectations** ========================================== * Reduce manual provisioning and deployment effort through self\-service automation. * Optimise pipeline speed and reliability while preserving control evidence. * Use deployment frequency, lead time, failure rate, recovery time, toil and service health as team learning measures. * Remove recurring operational work and bottlenecks through root\-cause improvement. **Expected behaviours** ======================= * Service\-minded, responsive and collaborative. * Automation\-first and intolerant of avoidable toil. * Security\-conscious and proportionate. * Calm, transparent and learning\-focused during incidents. * Accountable for operability and developer experience. **Evidence of effectiveness** ============================= * Repeatable environment and deployment processes with auditable controls. * Reliable pipelines and fast feedback to engineers. * Actionable observability and tested recovery procedures. * Reduced manual toil, deployment risk and time to restore service. **Desirable domain experience** =============================== * Regulated cloud delivery and separation\-of\-duties controls. * Apigee X, Kafka, BigQuery, Cloud Composer and Cloud SQL operations. * FinOps and capacity optimisation for analytical workloads. **Key Responsibilities** ------------------------ DevOps Engineer Enable safe, repeatable and observable delivery of Treasury workloads on GCP. **Programme** Treasury Transformation **Role family** DevSecOps / Platform Engineering **Primary location** India\-based delivery, integrated with LBG teams **Role purpose** Build and operate the delivery automation, runtime patterns and shared platform services needed for secure, resilient and productive engineering teams. **Role accountabilities** ========================= * Create and maintain CI/CD pipelines, deployment automation, artefact management and environment promotion controls. * Implement infrastructure as code and reusable GCP runtime patterns for UI, APIs, data and orchestration workloads. * Embed automated testing, code quality, security scanning and policy checks into delivery flows. * Provide central logging, metrics, traces, alerting and operational dashboards. * Engineer IAM, secrets, encryption, network controls, mTLS and least\-privilege access with security specialists. * Design for high availability, autoscaling, backup, disaster recovery, resilience and cost optimisation. * Support environment provisioning, release management, incident response and service recovery. * Improve developer experience through paved roads, self\-service capabilities and clear operational documentation. **Core skills and experience** ============================== * GCP platform engineering and production operations. * CI/CD tooling, containers, infrastructure as code and artefact management. * Cloud Run and relevant managed\-service deployment patterns. * Observability, SRE practices, alert design and incident management. * IAM, network security, secrets and secure software supply chain controls. * Automation using suitable scripting and configuration languages. * Experience supporting data pipelines, APIs, web applications and event\-driven services. **Leadership expectations** =========================== * Lead by enabling teams rather than controlling every deployment. * Make reliability, security and cost risks visible and actionable. * Coach teams in operational ownership, runbooks and incident learning. * Drive standards through reusable automation and sensible defaults. * Coordinate calmly across engineering, security and service\-management groups during issues. **Productivity and delivery expectations** ========================================== * Reduce manual provisioning and deployment effort through self\-service automation. * Optimise pipeline speed and reliability while preserving control evidence. * Use deployment frequency, lead time, failure rate, recovery time, toil and service health as team learning measures. * Remove recurring operational work and bottlenecks through root\-cause improvement. **Expected behaviours** ======================= * Service\-minded, responsive and collaborative. * Automation\-first and intolerant of avoidable toil. * Security\-conscious and proportionate. * Calm, transparent and learning\-focused during incidents. * Accountable for operability and developer experience. **Evidence of effectiveness** ============================= * Repeatable environment and deployment processes with auditable controls. * Reliable pipelines and fast feedback to engineers. * Actionable observability and tested recovery procedures. * Reduced manual toil, deployment risk and time to restore service. **Desirable domain experience** =============================== * Regulated cloud delivery and separation\-of\-duties controls. * Apigee X, Kafka, BigQuery, Cloud Composer and Cloud SQL operations. * FinOps and capacity optimisation for analytical workloads. **Skill Requirements** ---------------------- **Other Requirements** ----------------------