What are the responsibilities and job description for the Technical Project Manager position at Minfy?
We are looking for a highly skilled Technical Project Manager (TPM) with a strong background in full-stack development, cloud solutions, data management, and AI software engineering. The ideal candidate is a strategic thinker with hands-on experience in these areas who can lead projects and work effectively with technical teams to deliver scalable, robust solutions.
Responsibilities
Responsibilities
- Own and drive complex projects end-to-end, coordinating across teams to ensure successful, timely delivery.
- Act as a key interface between engineering, data, and AI teams, product management, stakeholders, and customer, translating technical requirements into actionable project plans.
- Utilize your technical expertise to contribute to project scoping, architectural discussions, and problem-solving, understanding the detailed needs of engineering teams.
- Define project timelines, resources, and KPIs while aligning teams on goals and milestones.
- Proactively identify, analyze, and manage potential risks and bottlenecks throughout the project lifecycle, ensuring quality and on-schedule delivery.
- Implement agile methodologies to refine project processes and support iterative improvement across development and deployment cycles.
- Proven background in full-stack application development, cloud architecture (e.g., AWS, Azure, GCP), data engineering, and/or AI-driven projects.
- 8 years of experience managing technical projects, in a software engineering, data science, and/or cloud infrastructure environment.
- Previous experience as a software engineer, data engineer, or similar technical role. Familiarity with at least one programming language (e.g., Python, JavaScript, Java, Golang) and cloud infrastructure tools (e.g., Kubernetes, Docker, Terraform).
- Strong verbal and written skills with the ability to communicate technical concepts clearly and effectively to non-technical stakeholders.
- Demonstrated analytical and problem-solving skills, especially under tight timelines and with evolving project requirements.
- Experience working in an agile environment, with a commitment to driving projects iteratively and adapting quickly to change.
- PMP, PMI-ACP, or CSM certification.
- Practical understanding of artificial intelligence lifecycle and related tools (e.g., TensorFlow, PyTorch, SageMaker, Bedrock).
- Familiarity with multi-cloud and hybrid cloud setups.
