:

Architecture &

- Technical Strategy :
- Own end-to-end AWS platform architecture : multi-account organization design, landing zone, networking, DNS and certificate architecture, identity, and tenancy model.
- Set the technical roadmap for Encore-on-AWS environment builds (temp, production, demo) on a shared golden IaC stack, and for LabelTraxx platform evolution.
- Define the migration architecture and sequencing that completes Amtech's exit from legacy private-cloud infrastructure.
- Write and defend architecture decision records; kill weak options early with evidence.
- Evaluate and integrate emerging capabilities, including AI/agentic tooling and MCP-based integration patterns, under Amtech's AI governance program.

Platform Engineering &

- Delivery :
- Author the highest-leverage Terraform modules and reference implementations personally; review the rest.
- Set standards for CI/CD (GitHub Actions), progressive delivery, environment promotion, and secrets management.
- Design for reliability with SRE-track peers : SLO frameworks, observability architecture (OpenTelemetry, OpenObserve), and PagerDuty service models.
- Drive platform cost architecture with FinOps : tenancy economics, Savings Plans strategy input, and unit cost visibility.

Security, Compliance &

- Risk :
- Design security architecture with Information Security : IAM boundaries, network segmentation, encryption, and data governance for customer data.
- Ensure the platform satisfies SOC 2 and ISO 27001 obligations by design, with audit evidence generated through automation.
- Assess and articulate technical risk for executive decisions : migration sequencing, vendor dependencies, and single points of failure.





AI Competency :

- Design agentic and AI-assisted engineering workflows with autonomy tiers, policy-as-code guardrails, rollback, and end-to-end auditability; measure ROI against baselines.
- Define platform AI standards : where AI sits in the delivery lifecycle, validation layer architecture (schema, rules, model-graded, human review), and evaluation harnesses.
- Prevent AI-generated code from degrading platform quality at fleet scale : eval harnesses, complexity metrics, and AI-attributed defect tracking.
- Contribute to enterprise AI strategy and standards under Amtech's AI governance program.

Technical Leadership &

- Influence :
- Mentor senior engineers and raise design-review quality across U.S. and India pods.
- Serve as the senior technical counterpart to AWS, consulting partners, and third-party providers on funded programs.
- Translate platform strategy into terms executives and investors can act on; support diligence and integration work for acquisitions.
- Ensure knowledge is durable : documentation, runbooks, and deliberate succession of critical knowledge, avoiding single-person dependencies.

QUALIFICATIONS :

- 10 years of progressive engineering experience with deep AWS platform expertise; recognized as the strongest technologist in prior roles.




- Proven ownership of multi-account AWS architecture at organizational scale (landing zones, Control Tower or equivalent, account vending, SCPs).
- Expert Terraform and IaC program design : module ecosystems consumed by multiple teams, testing, and versioning strategy.
- Demonstrated success architecting and executing large migrations (data center or private cloud to AWS), including ERP-class or other stateful enterprise workloads.
- Robust software engineering foundation (Python, Go, or similar) and fluency with modern CI/CD (GitHub Actions or equivalent).
- Working command of cloud security architecture and compliance-driven design (SOC 2, ISO 27001).
- Track record of technical leadership without formal authority : mentoring seniors, driving decisions through writing and review, and influencing executives.
- Designed AI-assisted or agentic engineering systems with guardrails, autonomy tiers, and measured ROI
- L4 AI competency by industry frameworks.
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent demonstrated skills.

PREFERRED QUALIFICATIONS :

- AWS Certified Solutions Architect Professional or DevOps Engineer Professional.
- Experience with multi-tenant SaaS and account-per-customer tenancy economics.
- Experience in private equity portfolio, M&A; integration, or investor-facing technical diligence contexts.
- Experience establishing AI/LLM platform capabilities or agent-based automation under formal governance.
- Experience directing consulting partners on funded cloud programs (for example AWS MAP).

📌 Principal Platform Engineer - AWS Cloud Services (India)
🏢 Orcapod Consulting Services
📍 India