Top Software Engineer Jobs in Detroit, MI

Design and maintain Anaconda’s internal package build and release platform, improving security, access control, reliability, and operational resilience. Responsibilities include writing software and architecture documentation, reviewing code, diagnosing complex issues, partnering across teams, using AI tools to reduce toil, mentoring engineers, and driving investments that reduce production risk. The role focuses on Python-based infrastructure, platform tooling, DevOps, and SRE practices in a fully remote environment.

Develop and operate high-scale backend APIs and microservices for rich messaging channels using Java and Go. Responsibilities include building message routing and delivery pipelines, deploying cloud systems, integrating AI-assisted development tools, supporting on-call operations, and maintaining reliability, low latency, and fault tolerance. The role requires collaboration across distributed teams and may involve occasional travel.

Debugs, analyzes, and sustains complex distributed software systems in defense and mission-critical environments. Responsibilities include root cause analysis, legacy-code refactoring, technical-debt remediation, performance optimization, automated testing, CI/CD pipeline development, multi-language build management, interoperability troubleshooting, and software integration and release support. The engineer collaborates with developers, architects, systems engineers, and government stakeholders while documenting improvements and maintaining delivery schedules.

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Develop ABAP solutions for a SAP S/4HANA Greenfield implementation, translating requirements into technical designs and supporting the full application lifecycle. Responsibilities include backend integrations, SAP Fiori and BTP development, HANA CDS Views, debugging, performance tuning, code reviews, and potentially mentoring developers. The role requires U.S. citizenship, a background check, and the ability to obtain and maintain DHS EOD/Public Trust clearance. This is a remote position supporting a Washington, DC customer.

Build and maintain full-stack applications, backend services, automations, data workflows, and internal tools. Partner with stakeholders to identify business problems, design and validate solutions, deploy production systems, measure outcomes, and iterate. Use AI-assisted development, AWS, Cloudflare, modern frameworks, relational databases, CI/CD, and observability practices while troubleshooting and improving system reliability, performance, and operational excellence.

Develops and supports Enterprise Content Management platforms, workflow automation, integrations, and content-enabled applications. Builds .NET services, APIs, automated tests, CI/CD pipelines, and infrastructure-as-code solutions. Troubleshoots application, database, and infrastructure issues; configures monitoring, alerts, and operational runbooks. Collaborates in Agile/Scrum teams with product owners, architects, and stakeholders while applying security, retention, privacy, audit, and reliability requirements.

Design, develop, test, implement, and deliver moderately complex software systems for enterprise business needs. Resolve system problems and incidents, design solutions aligned with business and operational requirements, and participate across the agile development lifecycle. Mentor apprentice and associate software engineers through coaching and training while applying strong application development, programming, communication, and independent judgment skills.

Software Engineering Intern supporting coding, debugging, technical documentation, automated testing, software development, and Agile project implementation. The intern will collaborate with engineers, test teams, business partners, and leaders while translating user stories into software components and test scripts. The 10-week remote program requires current junior-level enrollment in an accredited college or university, preferably studying Computer Science or Information Technology.

Design, develop, test, deploy, maintain, and optimize software tools, data platforms, cloud infrastructure, automation systems, and analytics systems for bioinformatics and genomics production environments. Create architecture, validation, documentation, and training materials; monitor system performance and scalability; support regulated workflows; and collaborate with leadership and cross-functional stakeholders. The role requires strong Python, AWS, database, Linux, Git, bioinformatics, genomics, and NGS expertise.

Design, build, test, deploy, and operate cloud-native applications, distributed services, data platforms, APIs, and AI-powered experiences. Develop frontend and backend solutions, data pipelines, analytics frameworks, and intelligent workflows using Azure and modern engineering practices. Own technical designs, modernization, observability, security, compliance, incident response, and operational reliability. Collaborate cross-functionally, mentor engineers, and contribute to architecture, code reviews, automation, and continuous improvement.

Design and develop software to onboard hardware accelerators and improve cluster-level storage performance. Collaborate across teams, produce design docs, implement and optimize code, perform tuning and RCA, act as DRI, and participate in on-call operations and scaling/validation efforts.

Lead architecture, development, and technical strategy for scalable cloud-native applications, distributed services, APIs, data platforms, workflows, and AI-powered capabilities. Drive modernization, reliability, security, observability, CI/CD, and operational excellence across teams. Translate complex requirements into scalable technical solutions, mentor engineers, influence architecture, and develop intelligent experiences using generative AI, RAG, agents, and automation.