Project Manager

Capgemini•New York, NY

8d•$61,087 - $104,364•Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. This job requires onsite participation.

Requirements

Python
AWS
Azure
.NET
Project Management
Agile delivery models
Hybrid delivery models
DevOps practices
CI/CD practices
Automated builds
Automated testing
Automated deployments
Infrastructure-as-code
Cloud-native frameworks

Responsibilities

Lead end‑to‑end design and development of enterprise‑grade solutions using Python and .NET, ensuring scalability, performance, and security across cloud platforms.
Architect, build, and optimize cloud‑native applications on AWS and Azure, leveraging services such as compute, storage, networking, serverless, and managed databases.
Act as technical owner and delivery lead, responsible for solution design, technical decision‑making, sprint execution, and overall delivery outcomes.
Manage project execution using Agile and/or hybrid delivery models, including planning, backlog grooming, dependency management, risk mitigation, and stakeholder communication.
Collaborate closely with business, application, and infrastructure teams to translate functional and non‑functional requirements into robust technical solutions.
Drive DevOps and CI/CD practices, including automated builds, testing, deployments, and infrastructure‑as‑code using modern tooling and cloud‑native frameworks.
Provide hands‑on technical leadership and mentorship to developers, setting coding standards, conducting code reviews, and promoting best practices.
Ensure operational readiness and reliability, including logging, monitoring, security controls, performance tuning, and production support readiness.
Identify opportunities for optimization, automation, and cloud cost efficiency, continuously improving system performance and total cost of ownership.
Own technical governance and stakeholder alignment, clearly communicating progress, risks, architectural decisions, and roadmap to senior leadership and client stakeholders.