Engineering Manager – Platform Reliability

Overview

Lead DevOps, Site Reliability Engineering (SRE), and DevSecOps capabilities for an AI-first healthcare technology platform, ensuring it is highly available, secure, scalable, and reliable across multiple customer environments. This is a hands-on technical leadership role.

What you'll do

• Architect and implement standardized, automated CI/CD pipelines across development, QA, staging, and production environments.
• Drive reliable, repeatable, near one-click deployments across multiple customer environments.
• Design and implement Blue/Green and Canary deployment strategies.
• Enable independent deployment of application code, configurations, and database changes with safe rollback and recovery.
• Implement automated pre- and post-deployment validations, release versioning, artifact promotion, and deployment traceability.
• Own Kubernetes-based platform architecture and operations across Microsoft Azure and AWS.
• Drive infrastructure provisioning using Infrastructure as Code (IaC) and GitOps-based management of Kubernetes manifests, Helm charts, and application configurations.
• Own production database reliability, particularly PostgreSQL, including backup, recovery, high availability, and disaster recovery.
• Design automated schema migrations, database upgrades, and safe rollback and recovery procedures.
• Implement database replication, synchronization, and Change Data Capture (CDC) mechanisms where required.
• Define and regularly test Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO).
• Establish Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error-budget practices.
• Build end-to-end observability across microservices, infrastructure, databases, APIs, and distributed workflows.
• Lead production incident management, root cause analysis (RCA), and corrective action tracking.
• Own operational reliability of distributed systems involving Kubernetes, Kafka, Temporal, and asynchronous workers.
• Design safe pause, drain, resume, and ownership-transfer mechanisms during application deployments.
• Own DevSecOps practices across infrastructure, CI/CD pipelines, Kubernetes, and production environments, including vulnerability, container image, and dependency scanning.
• Support HIPAA, HITRUST, and SOC 2 compliance through technical safeguards, operational controls, and audit evidence collection.
• Own cloud cost visibility, tracking, forecasting, and optimization across Azure/AWS infrastructure.
• Build, mentor, and lead high-performing DevOps, SRE, and security engineering teams.
• Define on-call coverage, escalation pathways, and operational ownership.

What you'll need

• 12+ years of experience in software engineering, infrastructure, DevOps, or Site Reliability Engineering, with proven technical leadership.
• At least 4+ years of experience in technical leadership or engineering management.
• Proven experience designing, building, and operating cloud-native production platforms.
• Strong hands-on expertise in Kubernetes, Docker, Helm, and microservices-based architectures.
• Ability to investigate complex production issues directly while mentoring and developing engineering teams.
• Demonstrated experience leading production incidents, root cause analysis, and corrective actions.
• Deep practical experience with Microsoft Azure, particularly AKS, networking, storage, identity, and managed databases.
• Experience working with AWS cloud infrastructure.
• Strong CI/CD experience using GitHub Actions, Jenkins, or equivalent tools.
• Hands-on experience with GitOps, Infrastructure as Code (IaC), and environment automation.
• Experience designing automated deployment pipelines and release management strategies.
• Strong Linux administration, networking, and infrastructure troubleshooting skills.
• Strong production experience with PostgreSQL, including backup, recovery, database migrations, replication, and high availability.
• Understanding of database schema evolution, CDC, and zero-downtime migration strategies.
• Experience operating distributed systems, asynchronous processing, and event-driven architectures.
• Proficiency in Python, Go, Bash, or comparable automation languages.
• Strong understanding of fault tolerance, retries, idempotency, and failure recovery.
• Experience implementing SLIs, SLOs, error budgets, and reliability engineering practices.
• Hands-on experience with monitoring, logging, distributed tracing, and incident management.
• Experience implementing cloud security and CI/CD security controls.
• Strong understanding of secrets management, access controls, vulnerability scanning, and infrastructure hardening.
• Familiarity with HIPAA, HITRUST, SOC 2, or other regulated industry compliance requirements.
• Experience managing and optimizing cloud infrastructure costs across Azure/AWS.
• Understanding of cloud budgets, cost allocation, resource utilization, and infrastructure forecasting.
• Ability to balance infrastructure cost efficiency with platform reliability, scalability, and security.
• Hands-on engineering mindset with strong architectural and troubleshooting capabilities.
• Strong ownership and bias for execution.
• Comfortable operating in ambiguity and solving complex infrastructure and production challenges.
• Ability to balance technical depth, people leadership, and business priorities.

Nice to have

• Experience with Microsoft Azure (AKS preferred) and AWS.
• Experience with Kubernetes, Docker, and Helm.
• Experience with GitHub Actions, Jenkins, Argo CD, or Flux.
• Experience with Terraform, OpenTofu, or equivalent Infrastructure as Code tools.
• Experience with PostgreSQL, database replication, and CDC.
• Experience with Kafka, Temporal, and event-driven architectures.
• Experience with OpenTelemetry, Prometheus, Grafana, Azure Monitor, or AWS Monitor.
• Experience with DevSecOps, vulnerability scanning, secrets management, and infrastructure security.
• Experience with healthcare interoperability standards: HL7, FHIR, and clinical data processing workflows.
• Experience with FinOps: Azure/AWS Cost Management, Kubernetes cost attribution, and cloud cost optimization.

Details

• Location: Bengaluru, Karnataka, India.