Top Remote Staff Software Engineer Jobs

Build and deploy internal AI tooling, agents, integrations, and workflows that improve productivity across engineering, research, and business teams. Evaluate emerging AI tools and models, develop observability and responsible-use guardrails, and partner with stakeholders to prototype and scale solutions. Drive adoption through documentation, enablement, and hands-on support while integrating AI into autonomy, simulation, ML training, and business workflows.

Staff Software Engineer responsible for shaping technical strategy and architecting automation systems for package creation, testing, and container image builds. The role involves developing production Go, AI- and LLM-powered developer tooling, quality frameworks, CLIs, and scalable services. Responsibilities include mentoring engineers, influencing roadmaps, improving reliability, and collaborating across distributed teams. Candidates need strong systems architecture, Linux, build systems, container ecosystem, and developer tooling experience, with familiarity in software supply chain security preferred.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

Build and own enterprise platform components end to end, integrating with customer infrastructure and self-managed Kubernetes environments. Develop observability, improve reliability and availability, debug distributed systems, address security vulnerabilities, and deliver production software for enterprise users. Collaborate with product and technical leads, mentor engineers, and maintain hands-on ownership across design, implementation, deployment, and production operations.

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.

Provides technical leadership across multiple agile teams, designing, developing, testing, and maintaining complex distributed software systems. Leads architecture and code reviews, translates product requirements into scalable solutions, removes delivery impediments, collaborates with product managers and stakeholders, and mentors engineers. The role requires backend development, cloud technologies, microservices, APIs, messaging, containerization, DevSecOps, observability, and technical strategy experience.

Provides technical leadership across multiple agile teams, designing and developing complex distributed software systems. Responsibilities include coding, system design, code and design reviews, roadmap delivery, stakeholder collaboration, mentoring engineers, and driving technical strategy, quality, scalability, security, observability, and operational excellence. The role requires extensive software engineering experience, multi-team leadership, distributed systems expertise, and proficiency with modern programming languages, cloud platforms, microservices, containers, APIs, messaging, and DevSecOps.

Leads the design, development, and production integration of Generative AI solutions into distributed software systems. Evaluates AI models and tools, builds robust AI-enabled applications, leads design and code reviews, manages multiple sprint teams, mentors engineers, and partners with product, data science, and engineering teams to deliver scalable, measurable AI capabilities.

Design, develop, and maintain complex test automation frameworks, tools, libraries, and performance tests. Integrate automated testing into CI/CD pipelines, establish coding standards, analyze test results, and drive automation strategies. Collaborate with cross-functional teams, review code, troubleshoot framework issues, and mentor junior testing engineers. The role also supports cloud, containerization, DevSecOps, API, UI, and performance testing initiatives.

Lead design and delivery of Turion's AI-first enterprise platform (Hyperdrive). Architect scalable, real-time data pipelines, APIs, and AI/LLM integrations; mentor engineers; collaborate with hardware, supply chain, and finance to automate and optimize aerospace operations.

Lead architecture and development of a self-service spend management platform that moves money. Build reliable backend services, enforce budgets and spend tracking, mentor engineers, collaborate with Product/Design/Analytics, and integrate GenAI tools to improve spend recommendations and automation.

Provide hands-on technical leadership for reusable cyber ranges, virtual-machine images, network architectures, and infrastructure automation. Design standards and automation with Ansible and Packer; troubleshoot complex networks, Windows, Linux, VMware, Active Directory, security tooling, and ICS/OT environments. Lead cross-team technical decisions, improve testing and release practices, mentor engineers, delegate ownership, and develop scalable, secure, supportable range solutions.

Leads the design, development, deployment, maintenance, and optimization of scalable full-stack software systems. Responsibilities include coding, debugging, code reviews, API development, cloud-native deployment, testing, monitoring, performance optimization, production support, incident response, technical mentoring, and establishing development standards. The role collaborates cross-functionally, drives API-first and AI-enabled engineering practices, and participates in on-call support.

Architect and scale cloud-based ML infrastructure supporting large-scale training, massive datasets, model development, and customer services. Own platform design, implementation, deployment, monitoring, reliability, cost optimization, and usability. Collaborate with data science, product, and operations teams, solve complex distributed-systems challenges, and mentor engineers while driving technical innovation.

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

The Staff Software Engineer will architect infrastructure for simulation tests, lead cross-functional initiatives, and refine evaluation metrics to enhance autonomous vehicle technology.

As a Staff Software Engineer, you will define technical strategy for Drive-Thru solutions, standardize Android practices, and ensure seamless integration between mobile clients and backend services while mentoring peers.

Design and build Fieldguide's core platform services, including APIs and systems. Mentor engineers and improve product delivery and system reliability.

As a Staff Software Engineer, you will drive technical direction for financial audit, mentor engineers, and design AI-driven workflows while collaborating on product development.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

The Staff Software Engineer will architect and develop systems connecting patients and providers, improve data reliability, and mentor engineers. They will work on generative AI technologies to enhance user experiences.

Lead zero-to-one product development while shaping Unify’s product roadmap and engineering foundation. Build scalable AI-powered products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, and LLMs. Evaluate technology platforms and vendors, establish engineering standards, manage infrastructure, deliver high-quality products at scale, and mentor multiple engineers while collaborating closely with founders, product, design, and engineering teams.

Own architecture and technical direction for Headway's Journey communications platform: design the decision engine, experimentation layer, channel orchestration, unified message ledger, and productionize LLM-powered personalization across multi-vendor delivery systems to improve patient and provider engagement.

Design, optimize, and maintain language execution engines and runtime systems (JIT/AOT, memory management) for scalable applications. Own full development lifecycle, implement high-quality reusable code, profile and optimize performance, integrate AI into workflows, collaborate with product owners, and mentor engineers on low-level systems and optimization techniques.

Lead the design and evolution of infrastructure, platforms, and services that run machine learning workloads in production. Build scalable distributed systems, cloud-native applications, CI/CD pipelines, observability, and ML model-serving infrastructure on AWS. Drive architecture, performance, reliability, cost optimization, and GPU workload management while collaborating with ML scientists, data engineers, and product teams. Mentor engineers and lead complex technical initiatives across a globally distributed organization.