Technical Project Manager

BrickRed Systems is seeking a technically strong, delivery-oriented Technical Project Manager to lead end-to-end software project delivery and release management. The role bridges engineering, QA, DevOps, product, and business stakeholders while promoting practical AI adoption across the software development lifecycle.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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