Orcapod Consulting Services
Principal Platform Engineer - AWS Cloud Services
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Full description
JOB DESCRIPTION : 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.