Top Remote Principal Software Engineer Jobs

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Lead the architecture and development of backend platforms and agentic AI systems. Design scalable distributed services, APIs, runtimes, orchestration, integrations, evaluation systems, and observability capabilities. Drive ambiguous initiatives from concept through production, ensure reliability and safety, collaborate with customers and product teams, and mentor engineers while remaining hands-on with coding and operations.

Principal Software Engineer responsible for designing, developing, and supporting scalable store-selling software. The role creates reusable code and architecture, automates infrastructure and testing, establishes service-level objectives, monitors production systems, improves security and resiliency, and develops junior engineers. Responsibilities include API design, performance and capacity optimization, incident response, vendor and open-source collaboration, destructive testing, and cross-team technical enablement.

Owns technical direction and execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes production code; drives architecture decisions; resolves complex engineering problems; improves testing, security, observability, and development practices; and mentors engineers across teams. The role requires leading major initiatives from design through production in a globally distributed environment.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.

Lead technical direction for AI infrastructure, data platforms, shared services, and agentic engineering practices while remaining hands-on. Architect secure MCP integrations, establish AI quality gates, evaluation frameworks, SLOs, and responsible-AI standards. Guide build-versus-buy decisions, modernize legacy systems, improve cloud-native scalability, and safeguard sensitive member data. Mentor senior engineers and communicate complex architecture and AI concepts to executives and cross-functional partners.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead technical direction and hands-on execution for major software products and systems. Design scalable architectures across backend, frontend, APIs, databases, and infrastructure; write code; drive architecture decisions; solve production issues; improve testing, security, observability, and development practices; lead critical initiatives; and mentor engineers across distributed international teams.

Build and maintain parsing infrastructure, SDKs, data models, and services for hardware design collaboration. Develop parsers for circuit-design formats, binary file-merging capabilities, test harnesses, developer tooling, and performance improvements. Collaborate with engineering, product, sales, and other stakeholders to define interfaces, requirements, timelines, and constraints while driving autonomous, cross-functional projects.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

Lead the architecture, design, and development of complex backend software systems for data-intensive applications. Drive technical direction, implement new technologies, improve code quality, reduce technical debt, and promote testing and continuous delivery. Mentor engineers, conduct code reviews, collaborate cross-functionally with product and design teams, engage with customers, and help deliver maintainable, scalable solutions using backend technologies, databases, distributed computing, and cloud platforms.

Designs and develops full-stack features for a network-management microservices platform. Responsibilities include building C#/.NET services, APIs, Kubernetes workloads, web interfaces, deployment automation, monitoring tools, and secure DevSecOps solutions. The role contributes to architecture, technical specifications, documentation, and AI-assisted development workflows while collaborating with product owners and external stakeholders.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Leads installation, administration, lifecycle management, automation, monitoring, troubleshooting, and disaster recovery preparedness for z/OS ISV infrastructure software across large-scale mainframe environments. Uses SMP/E and z/OSMF scripts, manages vendor products and maintenance packages, supports incident investigations and on-call operations, documents technical procedures, and applies AI tools to improve workflows and operational analysis.

Principal Mobile Software Engineer responsible for designing, developing, testing, debugging, and architecting complex mobile and software systems. Leads Agile development teams, reviews code, guides technical strategy, evaluates technologies, and ensures reliable, scalable delivery. The role includes mentoring engineers, establishing development standards, supporting infrastructure deployment, managing testing, and serving as a mobile engineering subject matter expert. Preferred experience includes React Native, cloud platforms, mobile security, CI/CD, app store delivery, Firebase, backend APIs, monitoring, and incident response.

Lead design and reliability of a financial data extraction platform, minimizing human validation through AI, and enhance system correctness for scale.

Drive architecture, design, and implementation of large-scale software systems. Lead technical strategy, mentor engineers, collaborate cross-functionally, ensure code quality and operational reliability, and guide delivery of complex features and platform improvements.

Lead architecture and engineering across multiple teams and principal engineers to accelerate delivery, optimize cloud costs, create reusable foundational code and POCs, mentor engineers, resolve high-priority incidents, align technology strategy with vendors, and drive portfolio-level innovation and process improvements.

Senior individual contributor who architects and builds IAA's Azure-based data platform (ingestion, transformation, semantic modeling, delivery). Designs and implements complex production data pipelines, supports BI and ML workloads, sets standards, mentors engineers, and partners with business and engineering leaders to enable analytics, forecasting, and AI.

Build and scale an AI-powered audit workbench that transforms raw evidence into reviewable workpapers. Responsibilities include designing ingestion and extraction pipelines, deterministic recomputation and exception detection, workpaper generation, evaluation infrastructure, and frontend review tools. The role emphasizes production LLM reliability, golden-dataset evaluations, schema design, traceability, deterministic regulatory logic, structured human review, and end-to-end system ownership in a regulated domain.