Top Remote Principal Software Engineer Jobs

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Provides organization-wide technical leadership for Atlassian’s Dev AI platforms and autonomous developer initiatives. Defines multi-year architectures for agent runtimes, orchestration engines, execution sandboxes, memory systems, and context retrieval. Drives distributed-system architecture, reliability, security, responsible AI governance, evaluation, and operational standards. Leads cross-organizational technical initiatives, resolves architectural ambiguity, mentors senior engineers, partners with product and engineering leaders, and remains hands-on with strategic prototypes and architectural validation.

Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.

Lead the mobile engineering team in evolving iOS and Android applications toward an AI-native, thin-client architecture. Define participant API and platform direction, contribute Python to backend services, establish AI-assisted development processes, improve DevOps and continuous delivery, mentor engineers, and partner closely with Product and Design. The role requires principal-level technical leadership, product focus, system architecture expertise, and hands-on use of AI coding agents.

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.

Provides organization-wide technical leadership for Atlassian’s Trusted Data Platform and Data Exchange Platform. Defines architecture and multi-year strategy for cloud-agnostic distributed data infrastructure, streaming, compute, platform intelligence, reliability, and disaster recovery. Leads cross-team initiatives, resolves architectural ambiguity, establishes engineering standards, drives reusable platform capabilities, manages incident response, and mentors senior and principal engineers across distributed global teams.

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.

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.

Owns the enterprise AI engineering foundation, including shared AI platforms, semantic routing, model hosting, gateways, operations, agentic pipelines, and multi-agent orchestration. The role establishes architecture and standards, delivers secure production AI services, develops evaluation and governance capabilities, manages AI economics, prototypes emerging technologies, mentors senior engineers, and partners with security, risk, compliance, and data governance teams in a regulated financial and healthcare benefits environment.

Lead architecture and hands-on development for cross-product onboarding and growth initiatives spanning Atlassian products. Build React and TypeScript micro-frontends, backend microservices, APIs, experimentation frameworks, and telemetry systems. Drive performance, reliability, modernization, and operational excellence while collaborating across product teams. Mentor senior engineers, author technical specifications, lead design reviews, and establish reusable patterns for multi-product user journeys.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Lead architecture and development of PermitFlow’s AI Assistant, agentic infrastructure, context and retrieval systems, action tools, evaluation harnesses, and workflow agents. Design planning, memory, recovery, permissions, and human-in-the-loop controls for complex permit workflows. Establish engineering standards and SDKs, improve agent quality through evaluations, and collaborate directly with permit coordinators and builders. The role requires strong production software engineering, extensive LLM product experience, and customer-focused product delivery.

Own the architecture and evolution of PermitFlow’s platform, monorepo, shared services, infrastructure, and agentic software development lifecycle. Lead architectural standards, migrations, AI-assisted code review, test generation, CI gates, observability, and background coding agents. Work across the stack as a product engineer while establishing scalable foundations adopted by multiple teams. The role requires deep platform engineering expertise, production infrastructure experience, and the ability to influence technical direction across the organization.

Design, implement, and operate production-quality AI framework components, benchmark and optimize large model training and inference across GPUs and Microsoft hardware, build automation and observability, drive cross-team projects from definition to deployment, and provide technical leadership and mentorship for improvements in performance, reliability, and model onboarding velocity.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Leads architecture and hands-on development of WEX’s semantic data platform and Data-as-a-Service capabilities. Builds reusable semantic business objects, metadata and ontology frameworks, knowledge graphs, APIs, governance, lineage, quality, and data contracts. Solves distributed-systems and scalability challenges while enabling AI and agentic applications to use trusted enterprise data. Partners across engineering, product, analytics, risk, finance, and business teams; influences technical standards, drives adoption, mentors engineers, and remains involved in implementation.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Lead technical vision and architecture for AI frameworks, performance, benchmarking, and tooling. Drive cross-team alignment, mentor engineers, ship high-performance distributed software, and improve model onboarding, runtime performance, reliability, and Azure hardware efficiency.

Lead the architecture and development of a production Agentic SOC that uses LLM-based agents to investigate security signals, gather evidence, make defensible decisions, and support SOC analysts. Own agent behavior, tool use, evaluation, guardrails, tenant isolation, auditability, reliability, and autonomous decision-making. Collaborate with analysts, detection engineers, product, and engineering teams while providing technical leadership and mentoring. Build scalable backend systems using distributed workflows, queues, cloud infrastructure, and data stores.

Design, develop, deploy, and operate cloud-scale Azure regional networking infrastructure spanning router hardware, operating systems, optical transceivers, and distributed orchestration systems. Lead architecture and cross-team technical initiatives, write maintainable code, improve reliability, observability, performance, and automation, apply AI-driven engineering practices, and mentor engineers while collaborating with hardware, supply chain, datacenter operations, research, vendors, and senior leaders.

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.

Leads cybersecurity strategy and provides technical leadership for security software development. Designs and operates secure services, APIs, automation platforms, PKI and secrets-management systems across cloud environments. Integrates security controls into CI/CD pipelines, performs code reviews and threat modeling, supports telemetry and incident response, and mentors engineers. Collaborates with application, infrastructure, audit, and compliance teams to embed secure practices and define security roadmaps.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Leads hands-on modernization of Pearson’s content platform, including large-scale migrations, shared platform services, APIs, AI capabilities, cloud infrastructure, security, reliability, and technical roadmaps. Designs and delivers complex systems, writes production code, resolves high-impact incidents, evaluates technologies, and establishes engineering standards. Mentors senior engineers, influences cross-functional stakeholders, and drives initiatives from exploration through launch while balancing scalability, cost, maintainability, and risk.