Senior Software Engineer - Enterprise Integration (All Genders)
Role details
Job location
Tech stack
Job description
The Senior Software Engineer is responsible for designing, standardizing, and scaling integration solutions across the enterprise. The role focuses on building a unified integration ecosystem by defining best practices, reusable patterns, and platform capabilities (APIs, events, and messaging).
The engineer will contribute to evolving the Integration Platform, improving system interoperability, reducing complexity, and enabling teams to build reliable, scalable integrations aligned with enterprise standards., * Design and implement scalable integration solutions using APIs, messaging, and event-driven patterns.
- Define and enforce integration standards, best practices, and reusable architectural patterns across teams.
- Evolve and maintain core platform capabilities such as API registry/catalog, integration templates, and shared libraries.
- Identify "integration bad-smells" (e.g., point-to-point coupling, anti-patterns) and work with teams to refactor them into standardized solutions.
- Contribute to the design and rollout of a distributed event streaming platform (e.g., Kafka) and event-driven architecture.
- Support teams in adopting integration patterns, providing guidance, code examples, and architectural reviews.
- Collaborate with platform, product, and engineering teams to enable scalable and governed system integrations.
- Improve observability, reliability, and performance of integration flows.
- Explore and apply AI capabilities to improve integration development, documentation, testing, and governance.
Core Competencies:
- Integration Architecture - designing scalable, decoupled system integrations using proven patterns
- Platform Thinking - building reusable capabilities rather than one-off solutions
- Standardization & Governance - defining and enforcing integration best practices across teams
- Event-Driven Design - applying asynchronous communication and streaming architectures
- Developer Enablement - simplifying adoption through templates, tooling, and guidance
- AI-Augmented Engineering - leveraging AI to improve SDLC efficiency and engineering outcomes, * Openness to leverage AI tools in daily engineering work (code generation, documentation, testing, analysis).
- Experience integrating AI into SDLC processes is highly valued.
- Ability to identify opportunities where AI can improve integration quality, developer productivity, or platform adoption.
Impact: This role will directly contribute to:
- Reducing integration complexity and technical debt
- Increasing reuse through standardized patterns and platform capabilities
- Accelerating delivery of new business capabilities
- Enabling a shift towards event-driven, scalable architectures across the organization
Requirements
Do you have experience in SDLC?, * Strong experience in backend/software engineering using one or more languages such as Java, Kotlin, or Python.
- Proven experience building integrations using REST APIs, messaging systems, or microservices.
- Solid understanding of distributed systems and integration patterns (e.g., synchronous vs asynchronous, orchestration vs choreography).
- Experience with API design, versioning, and governance practices.
- Experience with CI/CD pipelines
- Familiarity with event-driven architecture and streaming platforms (e.g., Kafka or equivalent).
- Experience with cloud platforms and containerized environments (Docker, Kubernetes).
- Experience working with CI/CD pipelines and automation., * Hands-on experience designing or operating an integration platform, API management solution and Event Streaming solutions.
- Experience with tools/frameworks such as Apache Camel, Spring Boot, or equivalent integration frameworks.
- Familiarity with API catalogs, service registries, and developer portals.
- Experience implementing observability (logging, metrics, tracing) for distributed integrations.
- Exposure to domain-driven design (DDD) and enterprise architecture practices.