Location: Hybrid- Employees may be required to work out of the nearest office location for quarterly meetings 1-4 times annually.
Position Overview:We are seeking a Staff Software Engineer - Integration & Platform (Java/Spring) to serve as a technical anchor for our Integration & Platform team. This individual will lead the architecture and evolution of critical backend services, define and uphold engineering standards, and drive the modernization of our Java/Spring Boot ecosystem toward cloud-native and AI-enabled workflows.
The ideal candidate brings deep expertise in distributed systems, cloud infrastructure, and API/integration design, along with strong leadership capabilities. They will possess exceptional communication and problem-solving skills and thrive in a fast-paced, highly collaborative environment while influencing technical direction without direct authority.
Key Responsibilities:Platform Architecture & Engineering Leadership- Own, design, and evolve distributed backend services using Java and Spring Boot
- Architect systems for scalability, reliability, performance, and observability
- Drive and document architectural decisions through ADRs, RFCs, and other technical artifacts
- Establish and enforce engineering standards, design patterns, and best practices
Cloud & Infrastructure Leadership- Define and implement cloud-native architecture patterns across environments
- Lead adoption and optimization of:
- Infrastructure as Code (Terraform, CDK)
- Containerization and orchestration (Kubernetes)
- Service mesh technologies (Istio, Linkerd)
- Optimize systems for resilience, cost efficiency, and operational excellence
Integration & API Platform Development- Design, build, and scale multi-tenant RESTful APIs and integration services
- Lead modernization initiatives, including legacy SOAP to REST migrations
- Define, standardize, and enforce API governance and best practices
- Architect and implement integration patterns including:
- Webhooks
- Event-driven systems (Kafka, Kinesis)
- External system connectivity frameworks
MCP & AI Integration (Emerging Capabilities)- Design and implement Model Context Protocol (MCP) server/client patterns
- Enable secure interactions between LLM agents and internal systems, databases, and tools
- Ensure AI integrations are safe, observable, governed, and scalable
- Contribute to evolving AI-driven platform capabilities
Engineering Excellence & Quality- Elevate standards for code quality, peer reviews, and maintainability
- Define and promote robust testing strategies (unit, integration, performance)
- Improve observability, monitoring, and on-call practices
- Mentor senior engineers and provide technical leadership across teams
Cross-Functional Collaboration- Partner closely with Product, Infrastructure, and Integration teams
- Translate ambiguous business requirements into clear technical solutions and roadmaps
- Communicate technical trade-offs effectively to both technical and non-technical stakeholders
- Actively participate in Agile/Scrum ceremonies and planning processes
RequirementsQualifications:Core Java & Spring Expertise- 8+ years of hands-on Java development in production environments
- Deep expertise with Spring Boot and Spring Cloud ecosystems
- Strong understanding of JVM internals, performance tuning, concurrency, and multithreading
Cloud Platform & DevOps- Hands-on experience with AWS, GCP, or Azure
- Strong experience with Kubernetes and containerized deployments
- Proficiency in Infrastructure as Code (Terraform or CDK)
- Experience building and maintaining CI/CD pipelines at scale
- Familiarity with service mesh architectures
Architecture & Distributed Systems- Proven experience designing and scaling distributed systems
- Strong understanding of event-driven architectures (Kafka, Kinesis)
- Expertise in API design (REST, GraphQL, and legacy SOAP systems)
- Solid data modeling experience (SQL and NoSQL databases)
- Strong foundation in security principles (authentication, authorization, secrets management)
Observability & Reliability- Experience with distributed tracing (OpenTelemetry)
- Familiarity with logging and monitoring tools (Prometheus, Grafana)
- Experience defining and managing SLOs/SLAs
- Participation in incident response and postmortem processes
MCP & AI Tooling Exposure- Experience or exposure to Model Context Protocol (MCP)
- Familiarity with LLM integrations, agent workflows, and AI-enabled systems
- Understanding of secure design principles for AI interactions
Leadership- Demonstrated ability to influence technical direction without direct authority
- Strong mentorship, coaching, and team development skills
- Ability to operate effectively in ambiguous and fast-paced environments
Preferred Qualifications/Skills/Soft Skills: - Experience leading large-scale platform modernization initiatives
- Strong documentation practices and technical writing skills
- Passion for emerging technologies, particularly AI-driven development patterns
- Excellent collaboration and stakeholder management abilities
- Continuous learner with a growth mindset and a bias toward innovation
Benefits:• 100% Employer Paid Medical Insurance options for the Employee and Family
• Paid Maternity and Paternity Leave
• Life and AD&D Insurance
• Long-Term Disability Insurance
• 401K with Company Matching
• Equity Participation
• 4 Weeks of Vacation
• Fully Stocked Kitchens
• Company-Sponsored Charitable Day of Giving Events
