Top Remote Senior Level Salesforce Developer Jobs in Dallas, TX

Lead and grow a mobile engineering squad building highly-available, distributed SaaS products. Drive technical execution, mentor engineers, run Agile ceremonies, hire, participate in on-call, and partner with Product, Design, Security, Data, and GTM to deliver roadmap outcomes.

Design, architect, and implement enterprise geospatial solutions (ArcGIS Enterprise) for cloud and hybrid environments. Lead migrations, system integration, governance, cybersecurity alignment, and provide technical leadership, O&M support, and stakeholder enablement for federal geospatial capabilities.

Lead technical design and architecture of large-scale Ceph clusters, drive capacity planning and major upgrades, resolve complex cross-functional production incidents, establish automation and reliability standards, and mentor engineers on advanced Ceph operations to scale the global storage platform.

The Senior Software Engineer for the Treasury team will develop backend services for fund management, ensuring system reliability and leading projects in a fast-paced environment.

Develop, design, and maintain production software for autonomous mission management of a satellite constellation. Contribute to architecture, implement scalable algorithms in Python and Go, support production operations, on-call rotations, launches, and cross-team integration for automated constellation operations.

Senior Product Engineer will build new products and prototypes, improve legacy systems, use AI-assisted tools to accelerate development, define specs and tests, enforce strong automated testing and CI/CD, partner across product and ops, and drive production-ready, observable, and maintainable releases.

Build and evolve Nexus interfaces for Temporal SDKs across multiple languages. Design and implement runtime APIs and behaviors, integrate SDKs tightly with language runtimes for durable, deterministic execution, collaborate with OSS community, write technical documentation, and own end-to-end features with high reliability.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

Lead and grow a team of software engineers building custom and SaaS solutions for Vertical Brands. Partner with Product and Design to deliver roadmap initiatives, ensure technical excellence, manage delivery and resources, drive data-driven product improvements, and mentor engineers to build capabilities and high-performing culture.

Develop and maintain Tailscale client and backend code with a focus on iOS and Android. Implement features in Swift/SwiftUI and Kotlin, write unit and integration tests, share cross-target code, support mobile VPN infrastructure and platform compatibility, and collaborate remotely with engineering teams.