Software Developer - Lead Python Developer
Introduction
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Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Your role and responsibilities
We are seeking a highly experienced Senior Python Developer to join the ContextForge MCP Gateway team as a technical leader.
ContextForge is an open-source production-grade gateway, proxy, and registry for Model Context Protocol (MCP) servers and A2A Agents. It federates MCP and REST services, providing unified discovery, auth, rate-limiting, observability, virtual servers, multi-transport protocols, plugins and an Admin UI: https://github.com/IBM/mcp-context-forge
As a Senior Python Developer, you will drive architectural decisions, own critical system components, and mentor the engineering team. You will work closely with the Engineering Manager and CTO to shape the technical roadmap, establish best practices, and ensure engineering excellence across the codebase. This role requires deep expertise in distributed systems, async Python, production architecture, and technical leadership.
Your Role And ResponsibilitiesArchitectural Leadership
- Drive architectural decisions for critical system components and platform features
- Design scalable, resilient systems: federation, multi-region deployments, edge caching
- Establish technical standards and patterns across the codebase
- Lead technical design reviews and architecture discussions
- Collaborate with CTO on technology roadmap and strategic technical direction
- Evaluate and adopt new technologies: performance optimization, security enhancements
- Own critical system components: federation layer, authentication system, protocol implementation
- Design and implement complex distributed systems: Redis pub/sub, mDNS discovery, cross-cluster coordination
- Build production-grade features: circuit breakers, rate limiting, backpressure, graceful degradation
- Optimize system performance: profiling, caching strategies, database tuning, async patterns
- Lead incident response: debugging production issues, root cause analysis, post-mortems
- Plan and execute technical migrations: database changes, API versioning, infrastructure upgrades
- Mentor developers through code reviews, pair programming, and design discussions
- Establish coding standards, best practices, and engineering processes
- Conduct knowledge sharing sessions and technical training
- Lead by example: code quality, testing, documentation, security practices
- Help engineers grow their technical skills and advance their careers
- Foster engineering culture of excellence, innovation, and continuous improvement
- Design horizontally scalable systems with load balancing and auto-scaling
- Implement observability: comprehensive metrics, distributed tracing, structured logging
- Build security-first systems: threat modeling, zero-trust architecture, defense in depth
- Design for reliability: 99.9% uptime SLA, disaster recovery, data durability
- Plan capacity: performance testing, load testing, scalability analysis
- Create architecture documentation: ADRs, system diagrams, runbooks
- Maintain and enforce 90%+ test coverage standards
- Implement advanced testing strategies: mutation testing, property-based testing, fuzzing
- Establish CI/CD best practices: automated quality gates, deployment strategies, rollback procedures
- Lead security initiatives: vulnerability management, security audits, compliance requirements
- Optimize developer experience: tooling, automation, feedback loops
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Python Development (8+ years)
- Several years of software development experience with deep Python expertise
- Master-level knowledge of Python internals: GIL, memory management, performance optimization
- Expert-level async Python: complex asyncio patterns, concurrency, coroutines, event loops
- Extensive experience with FastAPI or similar async frameworks in production at scale
- Advanced database expertise: SQLAlchemy 2.0, query optimization, schema design, sharding
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- Several years designing and building distributed systems in production environments
- Deep understanding of distributed system patterns: consensus, replication, partitioning, federation
- Expert-level experience with Redis: advanced patterns, cluster mode, high availability
- Knowledge of CAP theorem, consistency models, distributed transactions
- Experience with multi-region deployments, data replication, conflict resolution
- Understanding of service mesh architectures and API gateway patterns
- Expert-level REST API design with versioning and backward compatibility strategies
- Deep knowledge of JSON-RPC, gRPC, or similar RPC protocols
- Experience designing and implementing custom protocols
- Understanding of transport protocols: HTTP/2, SSE, WebSocket, gRPC, QUIC
- Experience with protocol parsing, serialization, and performance optimization
- Expert-level OAuth2/OIDC implementation and integration
- Deep understanding of JWT, token security, cryptographic signing
- Experience designing RBAC, ABAC, or policy-based authorization systems
- Knowledge of security architecture: zero-trust, defense in depth, threat modeling
- Experience with compliance: SOC2, GDPR, audit logging, data residency
- Understanding of cryptography: TLS, encryption at rest/in transit, key management
- Expert-level observability: OpenTelemetry, Prometheus, Grafana, Jaeger/Zipkin
- Deep understanding of SRE practices: SLOs, SLIs, error budgets, incident management
- Experience with production scaling: horizontal scaling, auto-scaling, load balancing
- Knowledge of performance optimization: profiling, bottleneck analysis, caching strategies
- Experience with chaos engineering and resilience testing
- Proficiency with containerization and orchestration: Docker, Kubernetes, Helm
- Proven track record of technical leadership on complex projects
- Experience mentoring and growing engineering teams
- Strong architectural thinking and system design capabilities
- Excellent written and verbal communication for technical audiences
- Ability to influence technical direction and drive consensus
- Experience working with Development Director/Product Owner/CTO/VP Eng on strategic technical decisions
Preferred technical and professional experience
Advanced Architecture & Performance
- Experience with high-throughput, low-latency systems (sub-millisecond p99)
- Knowledge of Rust or C++ for performance-critical components
- Understanding of Python C extensions and FFI (Foreign Function Interface)
- Experience with Python performance tools: cProfile, py-spy, memory profilers
- Knowledge of distributed caching strategies and CDN integration
- Extensive experience with AI infrastructure, LLM orchestration, or agentic systems
- Deep knowledge of OpenAI API, Anthropic API, LangChain, LlamaIndex, or similar frameworks
- Understanding of RAG (Retrieval-Augmented Generation) architectures
- Experience with prompt engineering, agent orchestration, or multi-agent systems
- Knowledge of AI observability: token tracking, cost optimization, model monitoring
- Experience with Kubernetes operators, custom controllers, or service meshes (Istio, Linkerd)
- Nice to have: Knowledge of GraphQL federation
- Understanding of edge computing, serverless architectures, or FaaS
- Experience with distributed consensus algorithms: Raft, Paxos
- Knowledge of stream processing: Kafka, Redis Streams, event sourcing
- Experience leading security initiatives or serving as security champion
- Knowledge of penetration testing, security audits, or red team exercises
- Understanding of supply chain security and SBOM (Software Bill of Materials)
- Experience with secrets management: Vault, AWS Secrets Manager, encryption key rotation
- Knowledge of secure development lifecycle (SDL) implementation
- Significant open-source contributions (maintainer or core contributor)
- Technical writing: blog posts, documentation, whitepapers
- Conference presentations or technical talks at major events
- Community leadership or developer advocacy experience
- Published articles or recognition in the developer community
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
YOUR LIFE @ IBM
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Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
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ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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