Technical Project Manager – Release Management

We are looking for a technically strong and delivery-oriented Technical Project Manager with experience working closely with software development and engineering teams, managing end-to-end project delivery, and driving release management activities. The ideal candidate should come from a software development environment and understand the complete SDLC, including development, code integration, testing, deployment, and production releases. This role requires someone who can bridge the gap between engineering, QA, DevOps, product, and business stakeholders while ensuring predictable and high-quality delivery.

We are particularly interested in an AI-forward professional who embraces AI-powered tools, understands their potential in software engineering, and proactively identifies opportunities to integrate AI into development workflows, project execution, testing, documentation, and release processes.

Key Responsibilities

Technical Project & Development Management

• Lead end-to-end delivery of software development projects from planning and requirements through development, testing, deployment, and production release.
• Work closely with software engineers, architects, QA, DevOps, and product teams to drive execution and remove technical delivery blockers.
• Understand application architecture, development workflows, APIs, integrations, and technical dependencies.
• Translate business requirements into technical deliverables, milestones, and actionable development plans.
• Drive Agile ceremonies, sprint planning, backlog prioritization, daily stand-ups, retrospectives, and delivery reviews.
• Monitor project progress, resource utilization, dependencies, risks, and delivery timelines.

Release & Deployment Management

• Own and coordinate end-to-end release management across development, testing, staging, and production environments.
• Develop and maintain release calendars, deployment plans, release schedules, and implementation checklists.
• Coordinate code freezes, release readiness reviews, build validation, UAT, deployment approvals, and production rollouts.
• Partner with DevOps and engineering teams to manage CI/CD pipelines, deployment automation, version control, and release workflows.
• Ensure appropriate rollback plans, release documentation, change approvals, and post-deployment validation are in place.
• Manage release risks, production issues, hotfixes, emergency releases, and post-release reviews.
• Drive continuous improvements in release predictability, deployment frequency, and release quality.

AI Adoption & Engineering Productivity

• Actively explore and adopt AI-powered tools to improve software development and project delivery.
• Encourage the use of AI coding assistants and developer productivity tools such as GitHub Copilot, Cursor, Claude, and similar platforms.
• Identify opportunities to leverage AI for code reviews, test case generation, automated testing, documentation, debugging, and workflow automation.
• Partner with engineering teams to introduce AI-enabled development practices and improve engineering efficiency.
• Evaluate emerging AI capabilities and translate them into practical improvements across the SDLC.
• Promote responsible AI adoption, including code quality, security, privacy, and governance considerations.
• Track the impact of AI adoption through measurable improvements in productivity, quality, and delivery outcomes.

Stakeholder & Delivery Governance

• Act as the primary coordination point between engineering, product, QA, DevOps, and business stakeholders.
• Provide regular updates on project status, release readiness, risks, issues, and delivery commitments.
• Proactively identify and escalate technical dependencies and delivery challenges.
• Establish project governance, delivery metrics, and reporting mechanisms.
• Drive continuous improvement across development and release management processes.

Required Qualifications & Experience

• 8–12 years of experience in software development project management, technical program management, engineering delivery, or related roles.
• Strong experience working directly with software development and engineering teams.
• Good understanding of SDLC, Agile methodologies, software architecture, application development, and testing processes.
• Proven experience managing end-to-end software releases and production deployments.
• Practical understanding of CI/CD, Git, build management, deployment pipelines, and release governance.
• Experience coordinating development, QA, DevOps, and infrastructure teams.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of technical dependencies, risk management, change management, and production support.
• Demonstrated interest in AI and hands-on adoption of AI-powered tools to improve engineering workflows.
• Excellent communication, stakeholder management, problem-solving, and decision-making skills.

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.