Job Title:
Senior Specialist, IT Software EngineeringJob Description:
We are seeking a Senior Software Engineer (Python, Cloud & AI) to design, build, and scale modern backend platforms, APIs, and AI‑driven systems. In this role, you will develop Python‑based APIs and Backend‑for‑Frontend services using FastAPI, build cloud‑native integrations and functions, and contribute to the development of AI agents and orchestration workflows using modern LLM tooling. You will work closely with cross‑functional teams to deliver secure, scalable, and high‑quality solutions that support enterprise platforms and business workflows.
Key Responsibilities- Design, develop, and maintain scalable Python backend services using FastAPI, following Backend‑for‑Frontend (BFF) and microservices patterns.
- Build and manage RESTful APIs and backend components with strong focus on performance, security, and reliability.
- Develop system integrations and workflows across enterprise platforms using APIs, events, and lightweight cloud functions.
- Design and implement AI agents and MCPs using LangGraph and modern LLM tooling to support enterprise use cases.
- Deploy and operate services on GCP using cloud‑native services (Cloud Run, GKE, Cloud Functions, Cloud SQL).
- Contribute to CI/CD, containerization, and DevOps practices to improve delivery speed and operational stability.
- Ensure code quality and production readiness through testing, reviews, documentation, and adherence to best practices.
- Collaborate with engineers, analysts, and QA to deliver secure, high‑quality solutions and mentor team members as needed.
- 10+ years of professional experience in software engineering, with strong backend development focus.
- Strong hands‑on expertise in Python, building production‑grade backend services and APIs.
- Proven experience designing and implementing RESTful APIs and microservices, preferably using FastAPI or similar frameworks.
- Solid understanding of backend architecture patterns, including Backend‑for‑Frontend (BFF) and service‑oriented design.
- Experience with authentication and authorization mechanisms such as OAuth2, JWT, and SSO.
- Strong knowledge of relational database design and SQL (PostgreSQL or equivalent).
- Experience building and deploying applications in a cloud environment (GCP, AWS, or Azure).
- Familiarity with containerization and CI/CD practices (Docker, pipelines, automated deployments).
- Proficiency with Git‑based workflows, code reviews, and collaborative development.
- Strong problem‑solving, debugging, and analytical skills, with an ownership mindset.
- Experience with GCP services such as Cloud Run, GKE, Cloud Functions, and Cloud SQL.
- Hands‑on exposure to AI agent development using LangGraph, MCPs, and modern LLM tooling.
- Familiarity with event‑driven and asynchronous systems (Kafka, Pub/Sub, RabbitMQ, or Service Bus).
- Experience with cloud‑native patterns and infrastructure‑as‑code (Terraform or equivalent).
- Knowledge of NoSQL databases and cloud data lakes.
- Exposure to GraphQL and modern API design patterns.
- Experience working in Agile / distributed teams on enterprise platforms.
- Familiarity with AI developer tools (e.g., Copilot, Claude Code) and automation workflows.
- Strong ownership mindset with ability to drive work independently from design to production.
- Excellent communication and collaboration skills across engineering, QA, and business teams.
- Ability to mentor and guide other engineers through reviews and technical discussions.
- Strong problem‑solving and analytical thinking skills.
- Comfortable working in ambiguous problem spaces and evolving requirements.
- Attention to detail with a focus on quality, security, and maintainability.
- Proactive, continuous‑learning attitude with interest in emerging cloud and AI technologies.
Skills Required
- 10+ years of professional software engineering experience with a strong backend development focus
- Strong hands-on expertise in Python for production-grade backend services and APIs
- Experience designing and implementing RESTful APIs and microservices, preferably with FastAPI or similar frameworks
- Understanding of Backend-for-Frontend and service-oriented architecture patterns
- Experience with authentication and authorization mechanisms including OAuth2, JWT, and SSO
- Knowledge of relational database design and SQL, including PostgreSQL or equivalent
- Experience building and deploying applications in a cloud environment such as GCP, AWS, or Azure
- Familiarity with containerization and CI/CD practices, including Docker, pipelines, and automated deployments
- Proficiency with Git-based workflows, code reviews, and collaborative development
- Strong problem-solving, debugging, analytical, ownership, communication, collaboration, and mentoring skills
- Experience with GCP services including Cloud Run, GKE, Cloud Functions, and Cloud SQL
- Experience developing AI agents using LangGraph, MCPs, and modern LLM tooling
- Familiarity with event-driven and asynchronous systems such as Kafka, Pub/Sub, RabbitMQ, or Service Bus
- Experience with cloud-native patterns and infrastructure as code using Terraform or equivalent
- Knowledge of NoSQL databases and cloud data lakes
- Exposure to GraphQL and modern API design patterns
- Experience working in Agile or distributed teams on enterprise platforms
- Familiarity with AI developer tools such as Copilot or Claude Code and automation workflows
Entegris Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entegris and has not been reviewed or approved by Entegris.
-
Fair & Transparent Compensation — Pay is considered competitive or slightly above industry standards in several roles, with some calling compensation very fair or great. Feedback suggests overtime opportunities in certain manufacturing roles further enhance earnings.
-
Retirement Support — Retirement programs feature a strong company 401(k) match and additional savings vehicles that employees value. Feedback suggests these offerings meaningfully bolster total compensation.
-
Leave & Time Off Breadth — Time-off policies are described as good, with PTO that can increase with tenure and unlimited PTO available in some roles. Paid parental leave and holidays add to the overall breadth.
Entegris Insights
What We Do
Artificial intelligence, augmented reality, Internet of Things – these are not just trends, they are drivers changing the way people live across the globe. With these new drivers and the increasing speed of innovation, there comes an expectation for higher-quality, higher-performing technologies at a faster pace. Every day, and for more than 50 years, Entegris’ singular mission has been to help customers utilize our advanced science-based solutions to support demand drivers; to innovate faster and more efficiently; and ultimately to transform the world. Through the power of our solutions and technology expertise, Entegris provides customers with innovative, science-based solutions to their toughest technology challenges. Headquartered in Billerica, Massachusetts, Entegris employs approximately 5,800 people worldwide, with roughly half employed in Asia-Pacific or Europe. With research and development, customer service, analytical labs, and manufacturing in Asia-Pacific, North America and Europe, Entegris supports customers around the globe as they take technology to the next level.
