Technical Project Manager

Serv Recruitment Agency
Remote

About The Position

Virtual Intros is building the intelligence layer for meaningful, privacy-first connection across people, companies, and communities, turning real-time engagement into measurable business value. Its architecture includes containerized microservices, Infrastructure as Code, multi-environment isolation, and distributed systems designed for high-concurrency, event-driven workloads and evolving AI-driven capabilities, with a growing focus on enterprise-grade reliability and secure multi-tenant design. This role leads the evolution of the platform as a product, enabling engineering teams to build, deploy, and operate systems with greater consistency, security, and speed. You will own the DevSecOps motion and define the standards, tooling, and infrastructure that support scalable, secure, and reliable delivery across the organization.

Requirements

  • 10+ years of experience in Platform Engineering, DevOps, or Infrastructure Engineering at a principal level
  • Deep experience owning CI/CD systems in production environments at scale
  • Strong expertise in Infrastructure as Code, preferably Terraform, including reusable module design
  • Proven experience embedding security into platform design including secrets management and policy enforcement
  • Experience designing and operating observability systems for distributed architectures
  • Experience implementing release automation and progressive delivery patterns
  • Strong understanding of cloud security, IAM, networking, and compliance
  • Experience setting and enforcing platform standards across internal teams and external partners
  • Experience building internal developer platforms or platform-as-a-product models

Nice To Haves

  • Experience supporting AI-enabled or event-driven systems
  • Background in enterprise or regulated environments
  • Experience with policy-as-code frameworks such as OPA, Sentinel, or Kyverno
  • Experience in high-growth environments scaling toward enterprise maturity
  • Is proactive and accountable
  • Thinks strategically and executes consistently
  • Communicates with clarity and confidence
  • Brings a positive, growth-oriented mindset
  • Is highly organized and dependable
  • Embraces learning and feedback
  • Cares deeply about doing great work

Responsibilities

  • Define and evolve the internal platform toolchain across the full software development lifecycle
  • Build reusable abstractions, templates, and modules that standardize engineering practices
  • Establish onboarding and platform standards for internal teams and external vendors
  • Improve developer velocity, deployment frequency, and operational efficiency
  • Architect and own CI/CD systems for reliable, repeatable deployments
  • Implement progressive delivery strategies including blue/green, canary, and feature-flagged releases
  • Standardize build, artifact management, and deployment workflows
  • Embed automated quality, security, and policy controls into pipelines
  • Define and enforce Infrastructure as Code standards using tools such as Terraform
  • Build reusable infrastructure modules and environment blueprints
  • Ensure consistency across development, staging, and production environments
  • Implement policy-as-code for security, compliance, and configuration management
  • Embed security controls across infrastructure, pipelines, and runtime environments
  • Design IAM models, secrets management systems, and secure configuration practices
  • Integrate vulnerability scanning, supply chain protections, and compliance controls
  • Establish centralized observability across logs, metrics, and traces
  • Define SLOs, error budgets, and operational performance metrics
  • Build incident response tooling, runbooks, and postmortem processes
  • Improve system reliability, reduce incident frequency, and decrease recovery time
  • Extend platform capabilities to support AI workloads, inference pipelines, and model deployment
  • Ensure governance, cost control, and security standards apply to AI-enabled systems
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