Lead Platform Engineer – DevOps, QA

Role Overview

• Own DevOps and QA outcomes across assigned programs, ensuring delivery milestones are met in line with agreed timelines.
• Partner closely with various teams to ensure smooth, predictable execution.
• Provide clear technical direction and decision‑making, reducing ambiguity for internal teams and external partners.
• Provide hands‑on technical leadership across: o DevOps and CI/CD pipelines o QA automation frameworks o Cloud platforms and tooling o Engineering standards and best practices
• Define, standardize, and enforce processes, tools, and architectural patterns to ensure consistency and reuse across teams.
• Lead modernization of CI/CD pipelines, test automation frameworks, and selected platform components, creating long-term leverage across multiple programs.
• Oversee QA strategies and testing practices across teams.
• Establish quality metrics and acceptance criteria.
• Drive test automation initiatives and coverage improvements.
• Monitor defect trends and quality indicators.
• Leverage AI‑driven and automation‑first approaches to improve: o Delivery speed and quality o Test coverage and reliability o Pipeline efficiency and release confidence o Observability and operational insight
• Embed AI capabilities pragmatically (e.g. test generation, pipeline intelligence, release insights, automated validation) with a focus on high-value adoption.
• Act as a translation layer between strategy and execution, converting enterprise standards into practical, team‑level implementation.
• Serve as a technical authority for assessing solutions, tooling options, and architectural tradeoffs.
• Drive strong day‑to‑day collaboration with engineering teams, accelerating adoption of standard platforms and tooling.

Requirements

• 8+ yrs experience leading DevOps, QA and platform engineering initiatives in complex, multi-team delivery environments.
• Strong understanding of software architecture patterns and principles.
• Deep knowledge of SDLC methodologies and development best practices.
• Deep expertise in CI/CD pipelines, cloud platforms, infrastructure tooling, and QA automation.
• Knowledge of security, performance, and scalability patterns.
• Experience with quality assurance frameworks and methodologies.
• Proven ability to design and evolve scalable, secure, and maintainable delivery platforms.
• Experience embedding automation and AI‑assisted capabilities into engineering workflows.
• Proven ability to provide clear technical leadership across teams.
• Strong stakeholder management skills, with the ability to align product, engineering, security, and enterprise architecture.
• Bachelor's degree in computer science or related field.
• Azure (or equivalent) certifications strongly preferred.
• Excellent problem-solving and communication skills.
• Self-starter with a strong execution mindset.
• Passion for modern cloud technologies, mentorship, and engineering excellence.

Tech Stack

• Azure
• Cloud
• SDLC

Benefits

• Professional development opportunities
• Paid time off