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 explicit 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

📌 Senior Technical Lead - DevOps, Python, Kubernetes (Chennai)
🏢 HCLTech
📍 Chennai