We are hiring a Technical Project Manager who can code, architect, and build — not just coordinate. This is
a hands-on technical leadership role for someone who has grown from developer or solution architect into
delivery leadership.
The ideal candidate will own end-to-end technical delivery, actively participate in architecture decisions, code
reviews, and solution design, and lead teams building scalable, cloud-native, AI- and data-driven systems. If you
have experience delivering AI, data analytics, or ML-enabled platforms alongside strong engineering practices,
this role is for you.
Key Responsibilities
• Own technical delivery end to end — planning, architecture, sprint execution, QA, deployment, and
post-release stability.
• Translate business requirements into scalable, secure, cloud-ready solutions, including AI and data
analytics components.
• Collaborate with engineering teams to design system architecture, APIs, data pipelines, and cloud
infrastructure.
• Actively step in hands-on when needed — performing architecture reviews, prototyping, PoCs, code
reviews, and contributing technically to unblock teams and ensure delivery.
• Act as the technical escalation point for engineering, DevOps, QA, data, and product teams.
• Lead delivery of AI/ML, data analytics, or reporting solutions, ensuring performance, reliability, and
data integrity.
• Implement and enforce Agile/Scrum practices that deliver real business value at speed.
• Create and maintain project plans, technical documentation, risk logs, and delivery metrics.
• Work closely with clients, stakeholders, and leadership to align business objectives with technical
execution.
Minimum Requirements
• 10+ years of IT experience, with 3+ years in project, delivery, or technical program management.
• Bachelor’s degree in Engineering or Technology (B.Tech / BE / BS in Computer Science, IT, Electronics,
or related technical discipline) is mandatory
• Strong technical background with prior experience as a Developer, Solution Architect, or Tech Lead.
• Proven ability to design systems, review code, and understand full-stack architecture (hands-on experience is a strong plus).
• Experience delivering AI, data analytics, or data-driven platforms, including dashboards, analytics
pipelines, or ML-enabled features.
• Solid understanding of data architectures, such as data warehouses, data lakes, ETL/ELT pipelines, and
analytics workflows.
• AWS Cloud Certification (minimum: AWS Cloud Practitioner; Associate or Professional preferred).
• Experience with modern tech stacks:
o Backend: Node.js, Python, Java, .NET
o Frontend: React, Angular, Vue
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure (AWS
preferred).
• Experience working with DevOps and MLOps workflows is a strong plus.
• Proficiency in Agile methodologies, with hands-on use of Jira, Azure DevOps (ADO), or similar tools.
• Strong communication and stakeholder management skills — able to bridge business, engineering,
and data teams.
• Experience working directly with US-based clients and stakeholders, including overlap with US time
zones and participation in technical discussions, planning, and delivery governance.
Nice to Have
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) or analytics tools (Power BI,
Tableau, Looker).
• Exposure to big data technologies (Spark, Kafka, Airflow, Redshift, Snowflake, BigQuery).
• Familiarity with multi-cloud environments (Azure, GCP).
• Experience with microservices, serverless architecture, and event-driven systems.
• Background in product development environments or startup culture.
• Experience in budgeting, resource planning, and delivery forecasting.
• Prior experience delivering solutions in Oil & Gas, Energy, or Utilities domains, including data
platforms, analytics, operational systems, or digital transformation initiatives.
What We Offer
• Work on impactful, AI- and data-driven projects with real engineering ownership.
• A team of strong developers, architects, data engineers, and PMs who value tech-first leadership.
• Performance-based growth with opportunities to move into senior leadership roles.
• Flexible work culture focused on outcomes, quality, and delivery excellence.
Project Management, Technical Leadership, AI/ML, Data Analytics, AWS, Azure, GCP, Node.js, Python, Java, .NET, React, Angular, Vue.js, Docker, Kubernetes, CI/CD, DevOps, MLOps, Jira, Azure DevOps, ETL, Data Warehousing, Snowflake, Kafka, Spark, Airflow, Tableau, Power BI, Agile, Scrum