Top Remote Principal Software Engineer Jobs

Lead enterprise-scale engineering platforms for embedded software, simulation, and cloud workloads. Architect CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, security, compliance, and observability standards across multiple teams. Drive software engineering productivity, release quality, and technical strategy while mentoring DevOps and simulation developers. The role requires deep real-time systems, safety-critical product, cloud, Kubernetes, Terraform, and embedded or simulation workflow experience.

Principal Software Engineer role at Atlassian with flexible work-location options. The provided description contains no specific responsibilities or qualification requirements. Compensation includes a U.S. base salary range varying by geographic pay zone, plus potential benefits, bonuses, commissions, and equity.

Own customer-facing products end to end across the full stack, from React and TypeScript interfaces to backend services and APIs. Shape product and architecture decisions, use telemetry to measure outcomes, and build AI-enabled and agentic experiences with LLMs. Set technical direction, collaborate with product and design teams, mentor engineers, and drive ambiguous prototypes into reliable, scalable production systems.

Own customer-facing product features across the full stack, from ambiguous problems through measurable outcomes. Make architecture and product decisions, use telemetry to guide design, and build AI-enabled and agentic experiences integrating LLMs. Set technical direction, influence product strategy, mentor engineers, and drive prototypes into reliable, performant production systems at scale.

Own customer-facing features end to end across React/TypeScript front ends, backend services, and APIs. Make product-driven architecture decisions, use telemetry to improve outcomes, and build AI-enabled and agentic experiences with LLMs. Set technical direction, influence product strategy, mentor engineers, and drive ambiguous prototypes into reliable, scalable production systems.

Lead architectural evolution of a high-traffic B2B SaaS supplier platform: define microservice boundaries, APIs, CI/CD, multi-cloud deployment, security, multi-tenancy, and mentor engineers while partnering with SRE, product, and business teams.

Build and productionize AI agents, assistants, models, and reusable skills for Armis and its customers. Rapidly develop MVPs, collaborate with engineering to harden systems, and implement rigorous evaluations for quality, safety, and reliability. Design secure agentic workflows with guardrails and isolation, select appropriate frameworks and models, establish reusable AI development practices, consult across the organization, and document solutions for operation and evaluation.

Provides technical leadership on complex software projects from design through launch, addressing architecture, reliability, security, testing, and observability at scale. Leads company-wide engineering initiatives, establishes technical standards, mentors engineers, and promotes engineering excellence. Requires extensive full-stack development experience, strong communication, systems engineering expertise, customer-focused decision-making, and familiarity with A/B testing.

Leads complex software engineering initiatives from technical design through launch, provides architectural and technical leadership, drives engineering standards, mentors engineers, and collaborates across teams on company-wide projects. Requires deep experience building and operating scalable systems with strong testing, reliability, security, and observability practices, plus full-stack development expertise and familiarity with A/B testing.

Principal Software Engineer role at Atlassian with flexible remote, office, or hybrid work options. The provided description primarily details compensation, benefits, company culture, equal employment practices, and employment verification requirements; specific responsibilities and technical qualifications are not included.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Design, build, deploy, and maintain resilient, scalable production systems for Toast’s retail customers. The role sets long-term technical architecture and strategy, communicates technical direction, mentors senior engineers, improves engineering productivity, diagnoses performance issues, and drives initiatives amid ambiguity. Engineers collaborate directly with retail customers, visit stores, understand operational workflows, and use AI tools to improve development velocity and quality.

Design and develop scalable cloud-based backend architectures for PSA’s consumer-facing Set Registry platform. Own features through architecture, implementation, testing, deployment, and production release. Build APIs for web and mobile applications, improve databases and existing applications, troubleshoot complex systems, and collaborate with product and engineering teams. Contribute to technical design reviews, documentation, monitoring, security practices, and automated testing.

Serves as a subject matter expert for z/OS Db2 infrastructure, managing installation, configuration, administration, upgrades, vendor fixes, logging, storage, performance tuning, data sharing, SysPlex, disaster recovery, and GDPS integration. Monitors enterprise systems, automates workflows with approved AI tools, supports incident response and 24x7 on-call rotations, and produces operational documentation across development, test, and production environments.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

Lead architecture and engineering for Microsoft’s enterprise Insider Risk platform. Build scalable, secure, privacy-conscious systems supporting risk modeling, behavioral analytics, detections, monitoring, investigations, workflows, and case orchestration. Partner with security, legal, HR, privacy, data science, and business teams to address complex risk scenarios. Drive technical strategy, align cross-team delivery, mentor engineers, and uphold reliability, confidentiality, compliance, and responsible data-use standards.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence. Build multi-agent workflows using orchestration frameworks and large language models, engineer tool-using and self-refining agents, develop data ingestion pipelines, and operate secure, scalable AI systems in production. Apply DevOps, reinforcement feedback mechanisms, and AI-assisted development practices while contributing to engineering standards and documentation.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.