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Jitterbit is an iPaaS (Integration Platform as a Service) and API Management platform recognized in Gartner's leader quadrant for five consecutive years. The company helps customers solve mission-critical business problems by integrating their systems through a reliable, stable, and scalable SaaS offering.
You will join the engineering team as a Java Backend Software Engineer focused on designing, architecting, and implementing robust, scalable distributed systems that power the platform. The team values quality-first mindset, distributed ownership, mentorship culture, and innovation. Engineers own their subsystems end-to-end from design to production support.
Key Responsibilities:
- Design and implement high-performance, fault-tolerant connector integrations and adapters handling mission-critical business workflows 24x7x365
- Architect distributed microservices following cloud-native design patterns (circuit breakers, bulkheads, observability) for multi-tenant SaaS environments
- Build and optimize data pipelines handling multiple protocols (REST, SOAP, GraphQL, gRPC, webhooks) and communication patterns (synchronous, asynchronous, event-driven)
- Drive technical decisions on critical subsystems; contribute to RFCs and architectural reviews; mentor junior engineers on system design principles
- Implement comprehensive monitoring, logging, and tracing; own operational health and observability of deployed systems
- Collaborate with Product, DevOps, and SRE teams to deliver features, resolve production incidents, and improve platform reliability
- Champion best practices: code reviews, testing strategies (unit, integration, chaos), security hardening, and performance optimization
- Contribute to platform infrastructure and developer experience initiatives benefiting the entire engineering organization
The role is fully remote and the company culture is distributed, fast-paced, performance-oriented, open, and collegial. You will work with engineers who believe code quality reflects directly on them as professionals and are relentless about crafting innovative products with memorable user experiences.
Qualifications:
- 7+ years designing and building large-scale, distributed backend systems handling high throughput and low latency requirements
- 5+ years working with multi-tenant SaaS architectures in production; deep understanding of isolation, rate-limiting, and resource management across tenants
- Proven ability to drive system design and participate in architectural decisions; experience mentoring engineers on design patterns and best practices
- Strong problem-solving and debugging skills; demonstrated ability to diagnose complex production issues in distributed systems
- Deep experience with microservices architecture, including service decomposition, API design, and inter-service communication patterns
- Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure); familiarity with container orchestration (Kubernetes) and serverless patterns
- Strong foundation in software engineering fundamentals: SOLID principles, design patterns, system design, testing strategies (unit, integration, e2e)
- Expert-level Java (Java 8+): Strong OOP principles, concurrency, performance tuning, memory management (heap, GC), and Java ecosystem (Spring Boot, Guava, Netty, etc.)
- Protocol expertise: REST, SOAP, GraphQL, gRPC, and related concepts (HTTP semantics, caching, rate limiting, error handling)
- Message brokers & event streaming: Hands-on experience with RabbitMQ, Apache Kafka, AWS SQS/SNS, or similar; understanding of at-least-once delivery, dead-letter queues, and stream processing
- Database technologies: Strong SQL (query optimization, indexing); experience with NoSQL databases (MongoDB, DynamoDB, Cassandra) and their consistency trade-offs
- Containerization & orchestration: Proficiency with Docker; practical experience with Kubernetes or container runtimes in production
- Version control: Advanced Git workflows (branching strategies, rebasing, cherry-picking); experience with GitHub or similar platforms
- CI/CD & DevOps: Working knowledge of GitHub Actions, Jenkins, ArgoCD, or similar; ability to write build pipelines, deployment scripts, and infrastructure-as-code (Terraform, CloudFormation)
- OS & systems: Comfortable with Linux command line; understanding of OS-level concepts (memory allocation, processes, file systems, networking)
- Observability: Experience with logging (ELK, Splunk), metrics (Prometheus, Grafana), and distributed tracing (Jaeger, Zipkin)
