Responsibilities

- Experience in platform release cycles, SRE best practices, infrastructure code reviews, and incident/defect management.

- Efficient in handling a team of 6-8 engineers across SRE, Platform Operations, and platform capabilities functions.

- Out of the box thinking and creative problem-solving skills is desired.

- Works with architects and product owners/managers to design and implement scalable platform solutions addressing reliability, operability, and developer experience.

- Works with engineering teams to establish SRE practices including monitoring, alerting, SLOs, and performance tuning across production infrastructure.

- Manages day-2 operations for AKS clusters, including twice-yearly upgrades, patching, and capacity planning.

- Identifies optimal technologies and practices to improve platform reliability and developer self-service. Stays current with the evolving cloud-native and platform engineering space to evaluate tools and capabilities for integration.

- Involved in creating POCs, interacting with architects within groups to strategize platform development and build technical roadmaps.

- Drives Spec Driven Development (SDD) practices for platform capabilities and SRE automation defining clear specifications for infrastructure contracts, APIs, and platform services before implementation to ensure predictable, well-documented outcomes.

- Leverages AI tools (Co-pilot, Claude, agentic workflows) to accelerate infrastructure-as-code development, incident triage, runbook automation, and platform self-service capabilities.

- Helps in maintaining proper platform documentation, runbooks, and operational playbooks.

- Supports and mentors team members by providing training,



advice, coaching, and educational opportunities.

- Promotes culture of using various AI tools in SDLC including Co-pilot, Claude, etc.

Job Qualifications

- Bachelor's degree in information technology or related field.

- Preferred 12+ years' experience in SRE, Platform Engineering, or Infrastructure domain.

- Extensive experience working in Agile, participating in various L0, technical design, and roadmap initiatives.

- Strong hands-on experience required in Kubernetes (AKS preferred). Should be proficient in operating and managing Kubernetes clusters at an organization level.

- Solid experience in Terraform, ArgoCD & Argo Workflows, Helm/Kustomize, and GitOps practices.

- Experience with CI/CD pipelines (GitHub Actions, Azure DevOps) and infrastructure-as-code at scale.

- Strong experience in driving adoption of platform capabilities for developers, setting up COPs, and driving onboarding of engineering teams onto the platform.

- Proven experience defining and managing SLOs, SLIs, and error budgets to balance reliability with feature velocity across production systems.

- Experience building and running incident management processes including on-call rotations, escalation frameworks, blameless post-mortems, and RCA documentation.





- Hands-on experience with production operations at scale — capacity planning, disaster recovery, failover strategies, and business continuity for cloud-hosted infrastructure.

- Experience building internal developer platform capabilities — self-service tooling, golden paths, developer portals, and "platform as a product" approaches that reduce toil for engineering teams.

- Demonstrated ability to drive toil reduction through automation — scripting operational tasks, building self-healing systems, and implementing proactive alerting to reduce reactive firefighting.

- Experience conducting Production Readiness Reviews (PRRs) and defining operational standards for services transitioning to production.

- Experience with Spec Driven Development (SDD) methodologies — defining infrastructure and platform service specifications upfront to drive implementation, testing, and validation of platform capabilities.

- Familiarity with AI-assisted development tools and agentic automation patterns applied to SRE workflows such as intelligent alerting, automated remediation, and infrastructure provisioning.

- Passionate about sharing your experiences and knowledge and growing your team.

- Ability to creatively handle challenges and obstacles, innovating solutions balancing both immediate needs with longer-term ownership and maintenance.

- Preferred experience with observability tooling (Datadog, Prometheus, Grafana) for platform monitoring.

- Preferred knowledge in microservices architecture, service mesh, and cloud-native patterns.

- Strong interpersonal and communication skills, coupled with solid teamwork ethic and customer focus.

📌 Technology Manager (Pune)
🏢 Wolters Kluwer
📍 Pune