Top Remote Engineering Jobs

Build and maintain automated API tests for REST and SOAP services, validating functional equivalence between webMethods and Kong APIs. Integrate tests into CI/CD pipelines, test authentication and security controls, perform smoke testing after releases, organize traceable test data and results, and report defects. The role requires 1–2 years of QA, software testing, or API development experience, programming skills, and the ability to obtain an IRS Moderate Background Investigation/Public Trust.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Engineer and improve Windows systems supporting a virtualized Army intelligence enterprise. Responsibilities include systems analysis, automation, troubleshooting, requirements translation, commercial software evaluation, workflow optimization, and configuration of enterprise virtual servers with appropriate storage, redundancy, networking, and virtual hardware. The role requires Windows Server and Active Directory experience, Red Hat OpenShift expertise, DoD certification, and an active TS/SCI clearance.

Own partner integrations from technical discovery through production launch and stabilization. Translate business and technical needs into integration designs, requirements, data mappings, and documentation. Investigate APIs, databases, logs, and code to troubleshoot issues; validate integrations through testing and data verification; and coordinate product, engineering, underwriting, operations, and external partners. Use AI-assisted tools to create specifications and guides, improve integration patterns, and drive progress through influence and clear communication.

Develop and maintain PowerUp Sports’ software platform, build and release new features, integrate technologies, optimize PHP applications on Azure, manage SQL Server databases, participate in code reviews, mentor junior developers, and support scalable, reliable architecture.

Leads a distributed software engineering team responsible for hiring, coaching, delivery, quality, reliability, and technical execution. Partners with product and architecture teams to prioritize work, evaluate designs and estimates, resolve root causes, promote secure development, testing, CI/CD, observability, and incident response, and improve engineering practices. Requires strong C# and .NET expertise, people management experience, cloud development knowledge, and the ability to deliver complex software with remote teams.

Develop, configure, deploy, and support scalable Salesforce solutions and integrations. Responsibilities include translating requirements into secure applications, building API and event-based integrations, managing data quality and security, participating in the software development lifecycle, conducting testing and code reviews, maintaining CI/CD pipelines, troubleshooting production systems, and collaborating with technical and business stakeholders.

Own the reliability, security, performance, and availability of cloud-based database and data warehouse platforms. Administer and optimize Microsoft SQL Server and Amazon Redshift, lead AWS data warehouse operations, design high-availability and disaster-recovery strategies, manage access controls and auditing, and drive automation and monitoring improvements. Collaborate with Engineering, Product, Infrastructure, Analytics, and business leaders to support scalable, secure data systems and downstream analytics and AI use cases.

Lead design and development of enterprise software solutions using Java and Cursor AI. Provide technical leadership, mentor engineers, define architecture and roadmaps, implement cloud-native, microservices, CI/CD and infrastructure-as-code practices, and collaborate across product and engineering teams to deliver performant, secure systems.

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.