# SRE Principal, Automation & Toil Reduction

**Company**: GSK
**Location**: Bengaluru
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Senior-Principal---SRE-Principal--Automation---Toil-Reduction_449168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_40de43b0-5dd

## Description

The SRE Principal, Automation & Toil Reduction leads the engineering of automation that removes repetitive operational work and improves the reliability, resilience and efficiency of GSK platforms.

The role acts as a hands-on principal SRE, shaping reusable automation patterns, enabling safe autonomous operations and embedding measurable toil reduction across platform domains.

**Key Responsibilities**

- Own and evolve the enterprise SRE automation and toil-reduction strategy, roadmap, reference patterns and engineering standards.

- Establish a consistent toil taxonomy and measurement approach using operational data, service-management evidence, task frequency, effort, risk and business impact.

- Prioritise automation candidates by hours avoided, repeatability, reliability risk, human-error exposure, control value, delivery complexity and reuse potential.

- Design and build secure, reusable automation for provisioning, diagnostics, incident triage, remediation, recovery, capacity, patching, service requests and compliance evidence.

- Create APIs, event-driven integrations, workflows, infrastructure-as-code modules, runbook automation and self-service capabilities rather than isolated scripts.

- Engineer closed-loop and AI-assisted operations with strong telemetry, policy controls, confidence thresholds, auditability and human approval for higher-risk actions.

- Establish production guardrails covering identity, least privilege, secrets, testing, change integration, release, rollback, failure containment and support ownership.

- Instrument automation to measure success, failure, latency, coverage, adoption, exceptions, cost and reliability impact end to end.

- Integrate automation with observability, ITSM, CI/CD, configuration, orchestration and knowledge platforms to reduce hand-offs and context switching.

- Use incident, problem and post-incident evidence to identify recurring failure modes and convert them into permanent engineering fixes or automated prevention.

- Partner with service and platform owners to define SLOs for automation-enabled services and use error-budget and risk evidence to prioritise reliability work.

- Lead technical design reviews for high-impact automation and prevent unsafe, brittle or low-value automation from becoming operational debt.

- Coach engineers, publish reusable patterns and grow an automation community of practice across internal and supplier teams.

- Provide technical oversight of supplier-delivered automation and ensure GSK retains maintainable code, documentation, telemetry, security evidence and knowledge.

- Track outcomes including toil ratio, capacity returned, automation adoption, cycle time, repeat incidents, MTTR, human-error reduction and control effectiveness.

**Professional Qualifications**

- Degree in a technology or engineering discipline, or equivalent practical experience, such as Computer Science or Software Engineering.

- Relevant cloud, Kubernetes, DevOps, SRE, security, IT service management or automation certifications are desirable.

**Area of Specialisation**

- Site reliability engineering, toil management and operations automation at enterprise scale.

- Software engineering for production operations, including APIs, event-driven integration, infrastructure as code, CI/CD, testing and observability.

- AIOps and safe autonomous operations, including anomaly detection, decision support and governed remediation.

**Experience Required**

- Overall 15 years and degree in Computer Science, Software Engineering, Systems Engineering or a related discipline, or equivalent practical engineering experience.

- Typically 8 or more years of experience in software, platform, infrastructure or reliability engineering, with substantial hands-on ownership of production services and automation.

- Demonstrated experience converting recurring operational work into reliable, reusable automation with measurable adoption and benefits.

- Advanced programming and automation engineering using Python or an equivalent language, including APIs, testing, packaging, error handling and secure coding.

**Desirable requirements:**

- Relevant cloud, Kubernetes, DevOps, SRE, security, IT service management or automation certifications.

- Experience with AIOps, generative AI or agentic operations, including evaluation, confidence thresholds, guardrails and human-in-the-loop approval.

- Experience creating self-service platforms, service catalogues, golden paths or reusable automation products.

- Experience with chaos engineering, game days, automated recovery testing, progressive delivery and pre-change or post-change validation.

- Experience integrating observability, ITSM, CMDB, CI/CD and orchestration platforms to reduce operational hand-offs.

- Experience operating in a global, multi-supplier environment and assuring supplier-delivered code, documentation, telemetry and knowledge transfer.

- Experience in pharmaceutical, life sciences, healthcare or another regulated industry, including GxP or validated systems.

- Experience measuring capacity returned, repeat-incident reduction, automation execution success, exception rates, control effectiveness and reuse.

## Skills

### Required
- Automation
- CI/CD
- Cloud Based Services
- Configuration Management (CM)
- Data Center Infrastructure Management (DCIM)
- Disaster Recovery (DR)
- Financial Operations
- Identity Access Management (IAM)
- Incident Management
- Infrastructure As Code (IaC)
- Operating Systems (OS)
- Performance Tuning
- Python (Programming Language)
- Scripting
- Software Engineering
- SRE Observability
- System Monitors
- Vulnerability Management

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