Lead the CI/CD platform delivery and reliability using Azure DevOps; define IaC/Terraform standards and multi-cloud AWS patterns; run zero-downtime and multi-region deployments; own observability, security scanning, and secrets management; evaluate AI/LLM platform needs; manage offshore senior developers and report roadmap, risks, and delivery metrics to engineering leadership.
Key Responsibilities
- Own delivery of the CI/CD pipeline (Azure DevOps) used across engineering, including branching, environment promotion, and release-gating strategy — accountable for pipeline reliability and release velocity, not just design.
- Define infrastructure-as-code standards and multi-cloud/AWS provisioning patterns; approve module design and drift-remediation approach.
- Drive zero-downtime deployment delivery (blue/green, canary) and multi-region rollout for regulated financial workloads, including go/no-go calls.
- Set the observability strategy (metrics, logs, traces, SLOs) and define what "production-ready" means for services shipping through the pipeline.
- Own the security posture of the delivery pipeline: SAST/DAST integration, container and infrastructure scanning gates, secrets management, and OWASP-aligned controls.
- Evaluate and stand up emerging platform needs — LLM gateway infrastructure, vector database hosting, and cost/latency monitoring for AI-enabled services (e.g., AWS Bedrock) — as the delivery platform extends to support AI workloads.
- Run day-to-day delivery of the offshore senior developer team: sprint planning and commitments, code/design review, real-time unblocking, and hands-on work on critical-path or time-sensitive items.
- Report delivery status, risks, and blockers to engineering leadership; own the roadmap timeline for this platform area.
Must-Have Qualifications
- 8+ years in DevOps/platform/delivery engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role).
- Proven track record of shipping and operating production platforms on committed timelines, including hands-on troubleshooting under delivery pressure.
- Deep, hands-on-to-expert knowledge of Azure DevOps Pipelines (design, governance at scale, not just usage).
- Strong Terraform/IaC design experience (module architecture, state management, multi-environment strategy).
- Expert-level AWS (core compute, networking, IAM, security services) in a production, multi-account setting.
- Proven architecture experience with Docker & container orchestration.
- Demonstrated design of Blue/Green deployment patterns and multi-region deployment architecture.
- Strong grounding in Observability architecture (not just tool usage — designing what/how/why to observe).
- Experience architecting Test Automation strategy across a large engineering org.
- Deep expertise in security scanning integration (SAST/DAST), container scanning, and infrastructure scanning as pipeline gates.
- Working knowledge of OWASP top risks and how to enforce them via pipeline controls.
- Experience designing Secrets Management architecture (vaults, rotation, least-privilege access) in a regulated environment.
- Financial-services or similarly regulated-industry experience (audit, compliance, change-control awareness).
- Strong communication skills — must translate technical decisions to non-technical stakeholders and directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).
Nice-to-Have Qualifications
- Experience architecting LLM gateway infrastructure for internal AI tooling.
- Familiarity with PII detection and scrubbing patterns in pipelines or data flows.
- Exposure to Vector DB infrastructure design and hosting considerations.
- Experience with AWS Bedrock or comparable managed LLM platforms.
- Experience setting up cost and latency monitoring for AI/LLM-backed services.
- Prior experience managing or mentoring an offshore/distributed engineering team.
- Relevant certifications (AWS Solutions Architect Professional, Terraform Associate, Azure DevOps Engineer Expert).
Compensation, Benefits and Duration
Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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