Java Backend Software Engineer

Jitterbit

2d•Remote

About The Position

As a Java Backend Software Engineer, you will join our team to design, architect, and implement robust, scalable distributed systems that power our SaaS platform. This role offers significant technical depth and opportunities for engineers ready to grow into more senior responsibilities.

Requirements

Strong experience designing and building large-scale, distributed backend systems handling high throughput and low latency requirements.
Experience 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 the 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).

Responsibilities

Design and implement high-performance, fault-tolerant connector integrations and adapters that reliably handle mission-critical business workflows 24x7x365.
Architect distributed microservices following cloud-native design patterns (circuit breakers, bulkheads, observability, etc.) 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 the 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 that benefit the entire engineering organization.