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Photon Linkedin · Posted yesterday

DevOps Engineer

Newark

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Indexed description

Owns end-to-end delivery of the organization's delivery platform — CI/CD, infrastructure-as-code, containerization, and release patterns — across all engineering teams. Sets the technical direction and standards, but is measured on shipped outcomes: pipeline uptime, release velocity, and security posture. Works onsite with senior stakeholders (security, infra, product engineering leads), runs the offshore developer team day-to-day, and stays hands-on to unblock delivery when it's at risk.


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).
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