Software Engineer Advanced – Portal and UCP

About the role

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Responsibilities

• Design, Develop and customize platform to serve as a developer portal for internal teams.
• Integrating different R&D tools and services in platform for seamless developer onboarding experience
• Maintain and upgrade OSES platform as per evolving development needs
• Work on container orchestration, infrastructure as code (IaC), and CI/CD pipelines for deploying and managing k8s instances
• Monitor the performance of developer platform, identify potential issues, and ensure high availability of the platform
• Using Infrastructure As Code (IAC) best practices, create automated infrastructure within the cloud and on-premise platform, including package management, application load and configuration, and systems monitoring and administration.
• Deliver improvements to source code management, deployment, operations, maintenance, cost control, security, monitoring, and audit tools and processes.
• Implement and maintain CI/CD tools and processes to support development, QA, and customer value realization teams.
• Manage a service critical codebase with version control using Git including Gitlab, or Github
• Be part of maintaining a 24x7, global, highly available SaaS environment according to internal and external service level agreements.
• Provide innovative solutions to problems in the area of acknowledged expertise.
• Implement new functionality. Ensure that resultant deliverable is consistent with design.
• Ensure that appropriate code reviews and unit tests are performed.
• Manages assigned projects including defining scope, plans, schedules, and deliverables.
• Research - Maintain technical expertise in area of specialty by following technical advances in industry and academia.
• Perform research to determine possible technical solutions to long-term technical issues.
• Proactively communicates status of all projects, tools, and environments.
• Integrate AI/ML capabilities into developer platforms and internal tools to enhance automation and developer productivity
• Design and implement agentic AI systems for autonomous task execution, workflow orchestration, and intelligent decision-making
• Develop and maintain Model Context Protocol (MCP) servers to enable seamless AI model integration and context sharing across platforms
• Build AI agent frameworks with tool-calling capabilities, memory management, and multi-agent collaboration patterns
• Implement AI-powered code analysis, testing, and optimization tools within CI/CD pipelines
• Develop and deploy LLM-based solutions for documentation generation, code assistance, and intelligent search capabilities
• Design and implement AI-driven monitoring and anomaly detection systems for platform performance and security
• Create intelligent automation workflows using agentic AI for incident response, root cause analysis, and self-healing systems
• Build and maintain RAG (Retrieval-Augmented Generation) systems for knowledge management and intelligent documentation
• Implement AI orchestration layers for managing multiple AI models, agents, and services in production environments

Qualifications

• Bachelor’s degree in computer science, Engineering, or equivalent
• 6-12 years of related experience
• 2+ years of experience with AI/ML frameworks and tools in production environments (preferred)
• Demonstrated experience integrating AI capabilities into developer tools or platforms
• Experience building or working with agentic AI systems and autonomous agents
• Hands-on experience with Model Context Protocol (MCP) or similar AI integration frameworks (Preferred)
• Proven experience as a Developer or similar role, experience with full-stack development
• Proficiency in modern frontend development using React and TypeScript for building responsive web applications
• Strong Proficiency in Java, Python and GO
• Hands-on experience with Node.js for backend services and server-side JavaScript development
• Expertise in package management and build tools including NPM, Yarn, Maven, and Gradle
• Hands-on experience with Kubernetes, Docker, or other container orchestration platform
• Hands-on experience with cloud platforms such as AWS or Azure
• Proficient in API development, including RESTful and GraphQL
• Deep understanding of microservices architecture and integration with developer tools
• Knowledgeable in YAML configurations and infrastructure automation
• Hands-on experience with gitlab/github, CI/CD pipelines and DevOps practices
• Hands-on expertise with automation/configuration management tools such as Terraform, Ansible, Jenkins, ArgoCD, etc.
• Experience in securing CI/CD pipelines, including secret management, registry scanning, and runtime security
• Able to adopt and extend continuous integration and testing processes, GitLab/GitHub-CI experience preferred
• Familiarity with AI/ML frameworks
• Experience with LLM APIs (OpenAI, Azure OpenAI, AWS Bedrock, or similar) and prompt engineering
• Knowledge of AI model deployment, monitoring, and MLOps practices
• Understanding of vector databases and semantic search technologies
• Experience with AI-powered development tools (GitHub Copilot or similar)
• Ability to evaluate and implement responsible AI practices, including bias detection and model governance
• Knowledge of AI security considerations and best practices for securing AI/ML workloads
• Excellent problem-solving skills and attention to detail
• Experience working in Agile/Scrum development environments
• Ability to manage goals, track milestones and report on status
• Exceptional organizational and time management skills
• High knowledge of SDLC and other life cycle methodologies
• High knowledge of application integration skills
• High knowledge of production support skills
• Ability to work on multiple complex projects simultaneously.
• Ability to communicate complex technical concepts clearly and effectively.
• Understanding of Cloud APIs and Cloud technologies, specifically AWS & Azure
• Strong understanding of Internet security considerations in web and application development
• Cloud monitoring tools (Datadog, CloudWatch, CloudTrail, Graphana, Kibana etc.)
• CICD pipeline tools (Artifactory, SonarQube, Vault, Aqua, Container registry etc.)
• Experience with AI agent frameworks (LangChain, LangGraph, AutoGen)
• Knowledge of RAG architectures and AI orchestration platforms
• Understanding of AI observability and monitoring techniques