Manager, Site Reliability Engineer - Data Platforms at Amgen in India - Hyderabad

Job description

• At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
• Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
• Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
• AWS Site Reliability Engineer with strong cloud architecture expertise to design, build, automate, and operate secure, resilient, scalable, and cost-efficient AWS platforms. You will combine AWS architecture leadership with practical Site Reliability Engineering-writing Infrastructure as Code, developing automation, improving observability, solving complex production problems, and strengthening operational excellence.
• This role also includes responsibility for leading an SRE pod and managing assigned engineers. However, it is primarily a hands-on technical role. The successful candidate will remain a key technical contributor who leads through architecture, implementation, production ownership, incident response, coaching, and example.

Responsibilities

• AWS Architecture and Platform Engineering
• Design secure, highly available, scalable, and cost-efficient AWS architectures for EDSE applications and data platforms.
• Define reusable platform services, Infrastructure as Code modules, reference architectures, and engineering guardrails.
• Make and document architectural decisions across networking, identity, compute, containers, storage, security, observability, and resilience.
• Lead architecture and production-readiness reviews, addressing reliability, security, performance, operability, and cost risks.
• Reliability and Production Operations
• Establish and improve SRE practices, including SLIs, SLOs, error budgets, availability targets, capacity planning, and operational-readiness criteria.
• Use operational data to identify recurring failures, performance bottlenecks, capacity risks, and opportunities to reduce manual toil.
• Participate in the on-call rotation and lead the technical response to complex or high-severity production incidents.
• Conduct blameless post-incident reviews and ensure corrective actions produce durable engineering improvements.
• Automation, Delivery, and Observability
• Build reusable, tested infrastructure and operational automation using Terraform and programming languages such as Python.
• Automate provisioning, configuration, validation, deployment, recovery, compliance checks, and routine operational activities.
• Strengthen CI/CD and GitOps practices through automated testing, deployment controls, progressive delivery, and reliable rollback mechanisms.
• Standardize metrics, logs, traces, dashboards, and actionable alerting to improve issue detection, diagnosis, and recovery.
• Resilience, Security, and Cost Efficiency
• Design and validate backup, high-availability, and disaster-recovery strategies aligned with defined business and recovery objectives.
• Conduct restore tests, failover exercises, resilience reviews, and controlled game-day scenarios.
• Embed least-privilege access, encryption, network segmentation, secrets management, vulnerability remediation, and policy-based controls into platform designs.
• Improve AWS cost efficiency through right-sizing, resource lifecycle management, tagging, usage analysis, and architecture optimization without compromising reliability or security.
• Pod and People Leadership
• Lead the SRE pod by setting technical direction, prioritizing work, managing operational commitments, and driving delivery to completion.
• Serve as a senior AWS and SRE advisor, partnering with application engineering, data engineering, cybersecurity, architecture, product, and FinOps teams.
• Manage and mentor assigned engineers through regular feedback, one-on-one discussions, technical coaching, design and code reviews, and career-development support.
• Approximately 75-80% hands-on technical work, including AWS architecture, coding, Infrastructure as Code, automation, design reviews, production troubleshooting, observability, performance improvement, and incident response.
• Approximately 20-25% pod and people leadership, including prioritization, work allocation, delivery coordination, mentoring, one-on-one discussions, performance feedback, career development, and removing team blockers.
• The individual will be expected to move comfortably between architecture decisions, hands-on implementation, production operations, incident leadership, stakeholder communication, and people development. The balance may vary temporarily during major incidents, critical releases, or important delivery milestones.

Requirements

• What we expect of you
• Master’s or Bachelor’s degree in computer science or engineering field and 9 to 12 years of relevant experience, including substantial hands-on experience in AWS cloud engineering, platform engineering, infrastructure engineering, DevOps, or Site Reliability Engineering.
• Prior experience leading a technical pod, engineering squad, or small team while continuing to contribute hands-on.
• Significant hands-on experience designing, implementing, and operating business-critical production workloads on AWS, including experience with EKS, Sagemaker, Bedrock, VPC, PrivateLink, S3, EC2, KMS, CloudWatch, CloudTrail, Secrets Manager, Lambda, and RDS.
• Deep knowledge of AWS architecture across networking, identity and access management, security, compute, containers, storage, monitoring, and resilience.
• Strong experience with Infrastructure as Code using Terraform, CloudFormation, AWS CDK, or comparable technologies.
• Proficiency in at least one programming or scripting language, such as Python, Go, Java, TypeScript, Bash, or PowerShell.
• Ability to write maintainable, production-quality infrastructure code, automation, and operational tooling.
• Practical experience applying SRE principles, including SLIs and SLOs, actionable alerting, incident response, root-cause analysis, post-incident improvement, and toil reduction.
• Experience building or operating containerized platforms using Docker and Kubernetes, preferably Amazon EKS.
• Experience with CI/CD, GitOps, source control, automated infrastructure testing, deployment controls, and safe production-change practices.
• Experience implementing observability using AWS CloudWatch, OpenTelemetry, Prometheus, Grafana, Splunk, Datadog, or comparable platforms.
• Strong knowledge of Linux, networking, distributed systems, performance analysis, high-availability design, and disaster recovery.
• Demonstrated ability to troubleshoot complex production systems and lead technical decision-making during high-severity incidents.
• Experience of FinOps practices, cloud cost allocation, unit-cost modeling, Savings Plans, and capacity optimization.
• Experience leading an engineering pod, squad, or technical workstream and driving cross-functional delivery.
• Experience managing or mentoring engineers, providing constructive feedback, and supporting their technical and career development.
• Strong written and verbal communication skills, including the ability to explain technical risks and architecture trade-offs to engineering and non-engineering stakeholders.
• Ability to collaborate effectively with global teams, make risk-based priority decisions, and drive complex work to completion.
• Experience working in Agile delivery environments and using planning and delivery tools such as Jira or Jira Align.
• Excellent written and verbal communication, with the ability to explain complex platform concepts, architecture decisions, risks, and trade-offs in clear, business-relevant language.
• Strong influencing and consensus-building skills, including the ability to establish standards and drive adoption across teams without relying solely on formal authority.
• A platform-product mindset focused on reusable capabilities, paved roads, developer experience, measurable outcomes, and long-term platform health.
• Strong systems-thinking and structured problem-solving skills, with the ability to diagnose issues across application, platform, cloud, governance, security, and operating-model boundaries.
• High degree of ownership, initiative, and follow-through, with the ability to move ambiguous topics from exploration through decision, implementation, adoption, and continuous improvement.
• Collaborative and globally minded, with experience working effectively across architecture, governance, cybersecurity, operations, engineering, product, and business teams.
• Strong planning, estimation, prioritization, and execution skills, with the ability to manage multiple initiatives while maintaining high standards for security, reliability, quality, and reusability.
• Ability to balance innovation with enterprise risk, distinguishing between experimentation, limited preview adoption, and production-ready capabilities.
• Strong coaching and enablement skills, with the ability to create clear documentation, facilitate technical workshops, mentor engineers, and build an active platform community.
• A growth mindset and commitment to continuous learning, modern engineering practices, constructive challenge, and responsible adoption of AI.
• Increase the use of reusable, tested automation for infrastructure and operational changes.
• Build a high-performing pod through clear priorities, strong engineering practices, effective coaching, and shared operational ownership.
• Experience supporting enterprise data platforms or data-intensive workloads on AWS.
• Experience with Databricks, Graph platforms, Lakehouse platforms, data lakes, or large-scale analytics environments. Candidates without prior Databricks experience should be willing to develop this capability after joining.
• Experience with AWS Organizations, Control Tower, multi-account landing zones, service control policies, and cloud-governance frameworks.
• Experience creating internal developer platforms, self-service infrastructure, golden paths, or paved-road capabilities.
• Experience with policy as code, automated compliance, or security controls in regulated or highly governed environments.
• Experience with chaos engineering, automated recovery, resilience testing, or large-scale performance testing.
• Exposure to Azure, hybrid-cloud, or multi-cloud environments.
• AWS Certified Solutions Architect - Professional
• AWS Certified DevOps Engineer - Professional
• SAFe Agilist or another SAFe certification

Skills

Required

• Agile delivery, Jira, Jira Align

Benefits

• As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
• In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
• Apply now