Introduction
At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.
Your Role And Responsibilities
As a Senior Software Developer: Generalist, you will design, develop, test, and deliver offerings using leading-edge and/or proven technologies. You will work in an Agile, collaborative environment to understand stakeholder requirements and contribute to the development of innovative software solutions. Your primary responsibilities will include:
- Design and implement multiagent workflows; reliable prompting, tool use, and structured outputs; define evaluation/guardrail practices.
- Build/operate MCP servers or equivalent tool integrations; design RAG flows for documentation and knowledge retrieval; optimize for enterprise LLMs.
- Design crypto knowledge bases that account for Python constructs and crypto libraries.
- Set engineering standards (testing depth, performance profiling, securityfirst coding); mentor junior engineers; conduct code reviews and participate in crossteam design forums.
- Design for testability; write and maintain unit/integration/e2e tests; contribute test data, environments, and automation as part of delivery.
- Collaborate with DevOps for CI/CD pipelines and deployment strategies.
- Participate in L3 support: triage incidents, perform RCA, apply mitigations and improvements.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- 4+ years professional Python, with deep language expertise.
- Strong hold of async/await, concurrency patterns, and performance profiling/optimization.
- Advanced typing and Pydantic modeling; productiongrade pytest (mocks, async tests)
- Proven LLM application experience (chains/agents/tools), stateful orchestration, and structured output validation; evaluation/guardrail practices.
- Experience integrating enterprise LLMs (e.g., IBM Granite, OpenAI, Anthropic) and designing RAG flows.
- Automated testing across unit/integration/e2e with TDD/BDD familiarity
- Knowledge of data modeling with SQLAlchemy; SQL/NoSQL (PostgreSQL/MySQL/MongoDB)
- Experience with REST service design and CI/CD
- Excellent communication: ability to mentor and drive crossteam initiatives
Preferred Technical And Professional Experience
- Building MCP servers and agenttoagent (A2A) patterns; opensource contributions in AI/agents/security.
- Evaluation/observability for AI systems (guardrails, OpenTelemetry/Prometheus, cost controls)
- Crypto libraries (e.g., cryptography, OpenSSL bindings) and NIST/FIPS awareness; PQC migration exposure
- Service security: TLS/mTLS, OAuth2/OIDC/JWT, and securebydefault coding
- Eventdriven architecture (Kafka)
- Containerization & orchestration with Docker and Kubernetes/ OpenShift (OCP)
- Experience with any one Cloud stack (AWS/ Azure/ IBM)
