Software Engineer

Streetid Technologies, Inc.
Mundelein, IL, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Cloud Engineering Command-Query Responsibility Segregation (Software Development) Data Structures Database Queries Distributed Data Store Distributed Systems Fault Tolerance Java Message Service (JMS)
+25 more
Java Virtual Machine (JVM) Spring Framework Python (Programming Language) Enterprise Messaging Systems NoSQL Object-Oriented Software Development RabbitMQ Distributed Caching Software Engineering Systems Architecture Multithreading Google Cloud Concurrency Spring-boot Backend Event Driven Architecture Kubernetes Low Latency Apache Kafka Event Sourcing Software Coding Restful APIs Domain Driven Design Docker Microservices

Job description

We are seeking a Senior Software Engineer to design and build highly scalable, distributed backend systems supporting mission-critical applications and platforms. This role is focused on hands-on Java or Python development, large-scale distributed systems, high-performance applications, and cloud-native microservices., You’ll work on complex backend platforms, event-driven architectures, APIs, and distributed services while partnering with Product, Architecture, and Engineering teams to build reliable, scalable software.

Requirements

  • 7+ years of professional software engineering experience with a strong focus on Java or Python \n

  • Expert-level experience with Java, Spring Boot, Spring Framework, REST APIs, and microservices. \n

  • Strong experience personally designing and building large-scale distributed systems. \n

  • Deep understanding of object-oriented design, data structures, algorithms, multithreading, concurrency, asynchronous processing, and JVM performance. \n

  • Experience with event-driven architectures and messaging technologies such as Kafka, RabbitMQ, JMS, or similar. \n

  • Experience with AWS, Azure, or Google Cloud. \n

  • Strong SQL skills and experience with relational and/or NoSQL databases. \n

  • Strong understanding of system architecture, scalability, resiliency, fault tolerance, and security. \n

  • Ability to take technical ownership from design and hands-on coding through testing, deployment, and production support. \n, * Experience building platforms supporting high transaction volumes and mission-critical workloads. \n

  • Experience solving complex scalability, latency, concurrency, performance, and reliability problems. \n

  • Experience with Kafka, distributed caching, Kubernetes, Docker, and cloud-native architectures. \n

  • Familiarity with domain-driven design (DDD), event sourcing, CQRS, and distributed data patterns. \n

  • Demonstrated experience improving system throughput, latency, availability, or operational reliability in production environments. \n

Benefits & conditions

  • Develop complex backend services, REST APIs, and event-driven applications using Java, Spring Boot, and modern distributed-system design principles. \n

  • Design resilient, highly available systems with an emphasis on scalability, performance, latency, observability, and reliability. \n

  • Build reusable backend and platform services supporting complex enterprise applications. \n

  • Design and implement integrations with internal and external systems through APIs, messaging, and event-driven architectures. \n

  • Optimize application performance through efficient algorithms, caching, asynchronous processing, multithreading, concurrency, and distributed messaging. \n

  • Solve complex distributed-systems challenges involving consistency, availability, fault tolerance, retries, message ordering, idempotency, and failure recovery. \n

  • Collaborate with architects and engineers to define system architecture, service boundaries, API contracts, and data models. \n

  • Lead technical design discussions, conduct code reviews, mentor engineers, and drive engineering best practices. \n

  • Build secure cloud-native applications utilizing CI/CD, automated testing, infrastructure as code, and continuous delivery. \n

  • Troubleshoot complex production issues, perform root-cause analysis, and continuously improve platform stability and performance. \n

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