SRE Leadership :

- Define, develop, and scale SRE strategies, frameworks, and best practices across large, complex environments.
- Drive customer transition from traditional AMS toward engineering-led, reliability-first, automation-driven operating models, including AI-led SRE implementations.
- Architect and build highly available, resilient, scalable, and self-healing systems across distributed and cloud-native environments.
- Establish automation-first approaches for provisioning, configuration management, deployment pipelines, and operational workflows.
- Lead the implementation of advanced observability - metrics, logs, traces, APM - and modern alerting practices supporting proactive reliability.
- Apply cloud-native technologies (Kubernetes, containers, serverless, service mesh) to build high-performance, decoupled architectures.
- Integrate intelligent automation, AI/ML insights, and automated incident workflows to improve MTTR and reduce manual toil.
- Optimize cloud resource utilization using data-driven approaches - enabling cost efficiency, elasticity, and predictive scaling.

Enterprise Architecture :

- Partner closely with enterprise architecture teams to embed SRE principles into core technology strategies, platforms, and operating models.
- Drive standardization by defining SRE reference architectures, engineering guidelines, runbooks, and reusable patterns.
- Ensure SRE frameworks integrate seamlessly with existing systems, business domains, and modernization roadmaps.
- Evaluate emerging technologies and guide their adoption within engineering and operations ecosystems.

Customer Engagement & Presales :

- Participate in presales, showcasing engineering depth through solution proposals, demos, benchmarks, and proofs of concept.
- Advise customers through assessments, maturity roadmaps, and tailored SRE modernization strategies.




- Articulate the business value of reliability engineering, observability, and automation in the context of large-scale transformation programs.

Teamwork and Collaboration:

- Lead, mentor, and coach engineering teams to develop deep SRE competencies across automation, observability, performance engineering, and cloud-native practices.
- Foster strong relationships with clients and internal stakeholders.
- Collaborate with cross-functional teams across development, architecture, platform engineering, DevOps, and security to deliver unified outcomes.
- Mentor and guide junior team members.

Desired Skills :

- Minimum of 15 years of experience in Site Reliability Engineering or a related field.
- Robust expertise across AWS, Azure, and/or GCP, including design of multi-cloud, hybrid, and distributed architectures.
- Modern DevOps mindset using best of breed open source and leading Infrastructure as Code SCM tools, for example, Terraform and Ansible.
- Hands-on experience in administering high availability and high performance environments, as well as managing large-scale deployments of traffic-heavy applications.
- Hands-on experience with Docker and Kubernetes and their corresponding provider management services.
- Excellent understanding of Scalability processes and techniques.
- Proven ability to work remotely with teams of various sizes in same/different timezones, from anywhere and still remain highly motivated, productive, and organized.
- Monitoring and Logging: Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, Splunk, or similar.
- Strong problem-solving skills and experience with incident management and root cause analysis.
- Knowledge of performance tuning and optimization techniques for various systems and applications.
- Strong documentation skills. Ability to create clear and concise technical documentation.

📌 Practice Lead - Site Reliability Engineering - Docker/Kubernetes (India)
🏢 BB Works
📍 India