Senior Specialist, IT Software Engineering

Job Description

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.

Required Qualifications

• 1 0+ 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.

Preferred Skills

• 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.

Soft Skills

• 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 .