Overview

SUMMARY Amtech is scaling its Platform Engineering organization in India as our products move to a fully AWS-hosted, multi-tenant SaaS model.

Responsibilities

• Design and implement monitoring, alerting, and reliability frameworks on our OpenTelemetry-based stack (OpenObserve, CloudWatch) integrated with PagerDuty.
• Define and defend SLIs, SLOs, and error budgets for the domains you own, and drive engineering priorities from them.
• Engineer self-healing, autoscaling, and capacity management so systems recover without human intervention.
• Lead root cause analysis for high-severity incidents and ensure permanent, verified fixes.
• Design reusable Terraform modules and golden-path patterns adopted across Amtechs multi-account AWS organizations.
• Build and harden CI/CD pipelines in GitHub Actions, including progressive delivery (blue/green, canary) and automated rollback.
• Operate and optimize containerized and serverless workloads (ECS Fargate, EKS, Lambda) and RDS PostgreSQL data stores at production scale.
• Eliminate toil systematically: identify, quantify, and automate the highest-cost operational work.
• Serve in the 24/7 on-call rotation and act as incident commander for complex, multi-service incidents.
• Own MTTD/MTTR improvement for your domains, with measurable targets.
• Author runbooks and drive game days or failure testing to validate them.
• Engineer security into the platform: IAM boundaries, secrets management, network segmentation, and policy enforcement.
• Ensure services meet SOC 2 and ISO 27001 obligations with audit evidence generated automatically where possible.
• Integrate AI across the delivery workflow with reusable prompts and shared context; mentor earlier-career engineers on effective, safe usage.
• Design validation steps for AI-assisted changes: characterization tests before AI refactors, empirical verification of AI debugging hypotheses, and rollback plans.
• Quantify AI productivity impact against baselines rather than impressions, and apply data classification policy to all AI usage.
• Mentor SRE I/II engineers through design review, paired incident response, and code review.
• Partner with product development and Cloud-track peers on operability and migration readiness for Encore and LabelTraxx workloads.
• Champion reliability culture and consistent global standards between India and U.S. teams.

Qualifications

• 4-6 years of hands-on SRE, DevOps, or cloud engineering experience, including ownership of production services at meaningful scale.
• Deep working knowledge of AWS (EC2, ECS/EKS, RDS, S3, IAM, VPC, Lambda) in multi-account environments.
• Strong Terraform skills, including authoring reusable modules, and fluency with GitHub Actions or equivalent CI/CD.
• Proven software engineering ability in Python (or similar) applied to automation and tooling, not just scripts.
• Demonstrated experience running SLO-driven operations, incident command, and blameless post-incident reviews.
• Experience designing observability with OpenTelemetry or equivalent (metrics, logs, traces).
• Solid understanding of networking, DNS, and cloud security architecture.
• Demonstrated integration of AI into daily engineering workflow with measured impact and designed validation, not ad-hoc usage.
• Bachelors degree in Computer Science, Engineering, or a related discipline, or equivalent demonstrated skills.

Nice to have

• AWS Certified DevOps Engineer Professional, CKA, or Terraform Associate.
• Experience with multi-tenant SaaS or account-per-customer architectures and ERP-class workloads.
• Experience with PagerDuty at scale (escalation policies, service ownership models).
• Experience operating AI/LLM workloads or building agentic automation under governance controls.
• Prior mentorship or tech-lead experience in a distributed global team.