distributed-systems jobs in San Diego

Senior software engineer responsible for designing, developing, and maintaining cloud-based backend systems and data pipelines for medical device software at Dexcom. You'll build distributed systems, APIs, and ETL/ELT pipelines that ingest and transform large-scale data, integrate AI insights, and serve internal systems and external partners.…See more The role requires 5–8 years of experience with general-purpose programming (Java/Kotlin/Scala preferred), cloud platforms (AWS/Azure/GCP), CI/CD, and data platform architecture, with mentorship of junior engineers expected.

ServiceNow is hiring a Staff Software Engineer to design and optimize data persistence infrastructure for the ServiceNow platform. You will write highly scalable code managing data lifecycles, data loss detection and recovery, and distributed storage systems, while collaborating with cross-functional teams on data architecture and telemetry.…See more The role requires 8+ years of software development experience (or equivalent with advanced degrees), deep expertise in Java, concurrency, relational databases, Kubernetes, and distributed systems like S3 and Apache Iceberg.

A forward-deployed software engineer role blending field deployment with autonomy software development for autonomous surface vehicles (ASVs) in maritime operations. You will debug and optimize autonomy algorithms, integrate sensors and control systems, troubleshoot networking and hardware issues in real-world conditions, and work directly with operators to refine system behavior.…See more The role requires strong C++, Rust, or Python skills, background in robotics or embedded systems, understanding of networking protocols and distributed systems, and willingness to travel 50% for field testing and deployment.

Staff-level backend engineer responsible for designing and maintaining statistical capacity models that forecast infrastructure resource needs (CPU, memory, connections, ElasticCache, DynamoDB, AuroraDB) to support traffic demands during peak sales events. Sets technical strategy for the team, collaborates across product and analytics to ensure system sustainability, owns operational excellence including monitoring and on-call processes, and establishes code review and design standards.…See more Requires 8+ years building highly available distributed systems at scale using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes, with proven experience scaling systems for major sales events like Prime Day and Black Friday.

Senior Network Specialist supporting high-performance computing environments, responsible for designing, integrating, and maintaining complex IT systems and network solutions. Role involves systems engineering, software development, integration, testing, and IT infrastructure design to support mission-critical environments.…See more Requires 4+ years of technical experience with systems engineering, software development, and enterprise computing, plus an active Top Secret clearance.

The Solution Architect I designs and documents cloud-native solutions using Azure and .NET, bridging business requirements with technical execution. This early-career role partners with engineering, product, and DevOps teams to translate needs into scalable, secure architectures while guiding implementation.…See more Responsibilities include creating architecture artifacts (diagrams, ADRs, specifications), applying modern patterns (API-first, event-driven, agentic AI), and ensuring solutions meet reliability, observability, security, and cost goals. Required: 3–5 years in software development or systems engineering, hands-on Azure and .NET experience, understanding of DevOps/CI/CD and observability principles.

Lead the integration of autonomy software with platform software for autonomous systems, responsible for building glue layers, investigating cross-system failures, and supporting deployment to hardware. Develop and maintain test infrastructure, instrumentation, and documentation; work with Flight Operations to define test objectives and analyze integration failures.…See more Design reference integrations, deployment workflows, and tooling for edge devices, and contribute to Pilot training materials. Requires deep C++ expertise, Linux development, and experience building, testing, and debugging software for robotics, perception, planning, or autonomous systems.

Design and build secure cryptographic services—including key management, PKI, and secrets distribution—for a large-scale multi-tenant SaaS platform. Apply ML/AI techniques to detect cryptographic misuse and anomalies in near real time.…See more Operate services on Kubernetes, manage CI/CD pipelines, and respond to security incidents. Requires 4+ years of production software engineering experience, advanced knowledge of distributed systems and cryptographic primitives, and demonstrated security-conscious coding practices.

Staff Platform Engineer responsible for designing, building, and operating large-scale cloud and hybrid infrastructure platforms supporting mission-critical systems. Will develop infrastructure-as-code frameworks, establish standardized deployment patterns, build CI/CD pipelines and developer tooling, and collaborate with engineering and security teams to embed security controls and improve system reliability.…See more Requires 8+ years in platform engineering, DevOps, or SRE roles with deep hands-on experience in cloud infrastructure, networking, identity, and storage systems, plus strong expertise in IaC tools like Terraform and Ansible, scripting/programming languages, and Linux environments.

Design and build secure cryptographic services (key management, PKI, secrets distribution) for ServiceNow's multi-tenant SaaS platform, ensuring FIPS compliance and regulated-environment requirements. Apply ML/statistical techniques to detect cryptographic misuse, anomalies in key usage, and suspicious access patterns in near real-time.…See more Operate services on Kubernetes, manage CI/CD pipelines, handle on-call duties, and collaborate with security architects to translate compliance requirements into production code. Requires 4+ years of production software engineering (Java, Go, or equivalent OO language), deep knowledge of distributed systems and cryptographic primitives, and hands-on Kubernetes deployment experience.

Senior Software Engineer responsible for designing and communicating architectural decisions across technical and non-technical teams at a healthcare technology company. Will reduce technical debt, improve developer experience, provide code and design reviews, and mentor engineers in AI-enabled development practices.…See more Requires 8+ years of software engineering experience with strong fundamentals in production systems, APIs, distributed systems, cloud-native applications, CI/CD, and observability. Should demonstrate leadership in technical initiatives, influence without formal authority, and hands-on proficiency with AI-assisted development tools while maintaining code quality accountability.

Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.…See more Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.

Software Systems Integration SME responsible for designing, developing, integrating, and sustaining resilient software applications in complex, mission-critical environments. Will provide senior technical leadership, mentor engineering teams, and coordinate across multidisciplinary groups to solve integration challenges across distributed systems, microservices architectures, and modern cloud platforms.…See more Expected to support DevSecOps and Agile practices, analyze system workflows and data flows, and translate complex technical topics for engineering, program, and operational leadership. Experience required in software architecture, requirements-driven design, software development lifecycle, and system interfaces.

Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.…See more The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.

Staff Engineer responsible for designing and building scalable test automation frameworks and CI/CD infrastructure for machine-learning systems at scale. The role requires expertise validating ML quality across the full lifecycle (data, training, evaluation, packaging, deployment, monitoring), GPU-accelerated workloads in Kubernetes, and integrated hardware-software systems.…See more You will develop automated evaluation suites, performance baselines, release thresholds, and observability solutions while mentoring teams on ML testing best practices and dependency/reproducibility standards.

Senior full-stack engineer responsible for designing and building the Forge Platform—a system enabling applications to contribute widgets, dashboards, commands, and shared resources through typed, versioned contracts. Own the platform from design through production rollout, partnering with autonomy and ML teams to validate workflows and incorporate real-world requirements.…See more Build backend services, frontend interfaces, and infrastructure that deliver consistent behavior across local and remote environments, while enabling independent application developers to move quickly with clear contracts and documentation.

Design and own full-stack applications for Shield AI's Forge Platform, serving both embedded AI and external agents through shared platform tools. You will build production frontend services in TypeScript and React, backend services in Go, Python, or Rust, and design typed, versioned APIs connecting independently deployed components.…See more Responsibilities span frontend architecture, backend services, state management, distributed-system patterns (routing, async communication, authentication, authorization), and close collaboration with infrastructure and product teams to create intuitive engineering tools.

Principal Engineer leading AI-native application development across Intuit's products (TurboTax, Credit Karma). Drives end-to-end technology initiatives, designs scalable distributed systems, and applies AI/LLM technologies to customer problems.…See more Requires 8+ years developing software for large enterprises, 5+ years designing complex distributed systems, full-stack development experience with AI tools, and proficiency across front-end (React, Angular, SwiftUI, Kotlin), back-end (Java, TypeScript, Spring, Express), and cloud platforms (AWS, GCP).

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

Senior Control Plane Software Engineer responsible for designing and developing distributed services for Software Defined Networking (SDN), ground segment, and satellite operations. The role combines control plane architecture expertise with cloud-native development (microservices, Kubernetes, Docker) and embedded systems integration across AWS, GCP, and on-premises platforms.…See more Requires 10+ years of software development experience with deep knowledge of SDN, routing/switching protocols, APIs, and distributed systems, plus ability to collaborate across data plane, platform, and embedded teams to ensure reliability and scalability of network software.

Senior Staff Lead Site Reliability Engineer to establish and mature SRE practices across Hivemind's cloud infrastructure and platform services. You will define reliability targets (SLIs/SLOs), build observability systems, lead incident response and root-cause analysis, mentor teams on reliability-first practices, and develop automation to reduce manual operational work.…See more The role requires 7+ years in SRE or infrastructure engineering, hands-on experience operating production services in AWS or equivalent cloud environments, expertise with containerized/distributed systems, infrastructure-as-code, and operational tooling development in Python or Go.

Senior or Staff Cloud Infrastructure Engineer responsible for designing and operating Crucible, a manufacturing-network software platform running across commercial cloud, government cloud, and on-premises environments. You will own infrastructure-as-code (Terraform, Helm, GitOps), Kubernetes production operations, cloud networking, identity and security controls, CI/CD pipelines, and observability tooling.…See more You'll work directly with software engineers to improve developer velocity, ensure production reliability, and support complex multi-environment deployments including GovCloud and air-gapped systems.

As a Senior Software QA Engineer at Dexcom, you will investigate postmarket software and device issues in collaboration with Regulatory, Quality, R&D, and Clinical teams, applying structured problem-solving and statistical analysis to identify root causes and drive corrective actions. You will develop and improve complaint investigation processes aligned with software risk management activities (hazard analysis, DFMEA, PFMEA, risk assessments) and ensure compliance with FDA 21 CFR Part 820, IEC 62304, ISO 13485, ISO 14971, and other medical device regulations.…See more You will analyze product performance anomalies, cybersecurity vulnerabilities, and postmarket trends to conduct software-focused risk assessments, then communicate findings and recommendations to technical and non-technical stakeholders to inform decision-making. You will translate postmarket insights into actionable product improvements that enhance safety, reliability, user experience, and regulatory compliance.

Staff Software Engineer role leading technical strategy and architecture for TurboTax and Tax Experiences products at Intuit. You'll drive end-to-end technology initiatives across customer-facing and backend systems, architecting highly scalable applications that handle massive seasonal traffic while integrating AI capabilities like intelligent guidance and document extraction.…See more Responsibilities include setting technical direction, mentoring engineers, designing resilient distributed systems, and collaborating cross-functionally with product, design, data science, and compliance teams to solve complex tax fintech problems at scale.