> Markdown version of [/jobs/ext/3080324-software-engineer-order-orchestration](https://www.wearedevelopers.com/jobs/ext/3080324-software-engineer-order-orchestration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Order Orchestration - **Company:** EchoStar Corporation - **Location:** Denver, CO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Cloud Computing, Java Platform Enterprise Edition (J2EE), Fault Tolerance, Spring Framework, JSON, Scrum Methodology, Distributed Caching, Azure Machine Learning, Software Engineering, Software Systems, Systems Integration, Web Services, YAML, Openapi, Test-Driven Development (TDD), Spring Cloud, Delivery Pipeline, Large Language Models, Spring-boot, Software Security, Generative AI, Apigee, Gitlab, Containerization, Kubernetes, Information Technology, Api Design, Api Gateway, Serverless Computing, Docker, Microservices - **Published:** September 25, 2026 - **Apply:** https://www.juju.com/job/14_7b7e318f2 ## About the Role * Experience applying test-driven development methodologies and operating within Agile delivery frameworks such as Scrum or Kanban. * Practical knowledge of Python development alongside CI/CD automation pipelines utilizing GitLab. Minimum Requirements Minimum Education: Bachelor's Degree in Computer Science or a related field Minimum Experience: 4 years of experience in the development and implementation of enterprise-wide software solutions Required Technical Skills: Must have at least 4 years of experience with: * Java Technologies (Java, J2EE, Web Services, Spring, Spring Boot) * API development, lifecycle management, and integration (REST/JSON, OpenAPI, API Gateways) * AWS cloud products, containerization (Docker/Kubernetes), and serverless workflow orchestration ## Description Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. What Success Looks Like (Objectives) The Senior Software Engineer - Order Orchestration designs and implements distributed order management subsystems across e-commerce services. The position addresses data coordination requirements across microservices by developing resilient orchestration workflows and integrating standard API security protocols. Operating within engineering teams, the role optimizes high-concurrency order processing, supports deployment pipelines, and maintains fault-tolerant purchasing components for high-volume transactions. * Design and implement resilient order orchestration subsystems using AWS serverless technologies and containerized microservices to manage customer order lifecycles. * Design scalable API specifications using OpenAPI and YAML standards while integrating authentication and authorization protocols across payment and logistics services. * Support full API lifecycles and automated integration pipelines to advance departmental OKRs for service reliability and deployment throughput. * Optimize database schemas, event-driven streaming architectures, and distributed caching mechanisms across order management subsystems. * Implement Generative AI tools and LLM workflows to automate system troubleshooting, accelerate root-cause analysis, and optimize engineering efficiency., * Advanced proficiency in designing and implementing software subsystems utilizing Java, Spring Boot, Spring Cloud, and distributed microservices architectures. * Applied competency in cloud infrastructure, AWS ecosystem services, and container orchestration platforms including Docker and Kubernetes. * Practical experience with full-lifecycle API design, API gateway management, and integration standards using Apigee or SwaggerHub. * Proven ability to resolve complex technical bottlenecks, coordinate across peer engineering groups, and maintain reliability in high-volume production services. * Applied competency in modern AI and machine learning tools to enhance software engineering workflows and operational automation.