Top Remote Software Development Manager Jobs

Manage and develop an engineering team, driving results through agile methodologies, while remaining hands-on contributing to design and code reviews. Collaborate with product owners to align technical solutions with business outcomes and foster a culture of inclusion and innovation.

The Software Development Manager will lead a team to develop new products, oversee project management, and enhance software solutions while ensuring timely delivery and team performance.

Lead the Eligibility Team to develop scalable healthcare APIs, manage engineering workflows, enhance operational efficiency, and mentor a remote-first team of engineers.

Oversee engineering teams driving modernization in healthcare technology through agile practices, AI-assisted engineering, and strong architectural guidance, ensuring quality and compliance.

Lead and grow an engineering team to build a platform-native NHI Governance module and scalable, secure services for BeyondTrust's SaaS products. Own delivery, architecture, and quality; partner with product, design, and platform teams; adopt AI-assisted development tools; mentor engineers; and solve identity and security challenges across cloud and on-prem environments.

Lead and mentor a team of engineers to design, build, and update conversational platforms and web applications. Define project requirements and timelines, manage releases, enforce development best practices and KPIs, coordinate cross-functional stakeholders, evaluate new technologies, and drive proposals and capital projects. Requires independent judgment, variable schedules including nights/weekends, and continuous team development.

Lead and mentor engineering and QA teams to design, build, test, and deploy scalable, secure enterprise web applications and workflow solutions. Drive Agile delivery, CI/CD and DevSecOps improvements, production stability, incident remediation, API and backend integrations, and cross-team coordination with Infrastructure, Security, Operations, and PMO. Ensure development quality standards, code reviews, release management, and federal compliance for a high-volume, mission-critical platform.

Lead three Agile engineering teams (Inventory, Discovery, Identity Graph) owning technical roadmap, architecture, and delivery of cloud-native microservices. Mentor engineers, drive scalable distributed system design on Azure/AWS, promote AI-assisted development tools, and collaborate with Product and Architecture to launch new features and teams.

Manage an overseas Agile sprint team, bridge business and engineering with clear technical requirements, contribute as a senior engineer (architecture, code, reviews), develop cloud-hosted and on‑prem and front-end applications, and perform people, project, and software development management.

Lead and manage software engineering teams to deliver scalable, secure cloud-native applications. Own SDLC, architecture, production stability, incident resolution, cross-functional alignment, technology strategy (including AI/ML), hiring, mentorship, and engineering excellence.

Drive new business and strategic account expansion for IP management and legal tech SaaS. Own full sales cycle, build executive relationships, meet quota, develop territory and account plans, collaborate cross-functionally, represent company at events, and support onboarding and expansion.

Lead and grow a distributed senior engineering team as a player-coach, delivering shared SaaS platform services and core AI capabilities. Drive cloud-native architecture, model integration, reliability, FedRAMP compliance, AI-first engineering practices, and partner closely with Product, Security, and Platform Engineering to define roadmaps and technical standards.

Manage and grow the VetSoft Payments engineering team, focusing on scalable, secure payments systems while leading and mentoring a distributed engineering team.

Lead and grow a software engineering team building variant classification and interpretation systems. Own technical roadmaps, architecture, CI/CD, and automation. Partner with product, data science, and bioinformatics to deliver scalable tools that translate bioinformatic data into variant/sample-level information, ensure engineering standards, apply AI/LLM responsibly, and communicate progress to leadership.