go jobs in San Diego

Director of Software Engineering leading end-to-end delivery across customer-facing products and internal tooling at a life-sciences company. This role combines hands-on full-stack development (React, Go, AWS, Temporal) with team leadership, architecture ownership, and regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820).…See more Candidates should have 10+ years of software engineering with 3+ years managing teams, fluency with modern AI coding assistants, and experience shipping instrumentation, cloud SaaS, and ML/AI features.

Senior Developer on Dell's Office of the CTO team responsible for developing new AI applications from concept to production. You'll work across the full stack in small cross-functional teams, rotating through projects involving generative AI, data engineering, and MLOps.…See more The role requires solid programming fundamentals, experience or strong interest in DevOps/XP practices (microservices, CI/CD, containerization), and proficiency in languages like Python, Go, Java, C++, or JavaScript.

Senior Developer role focused on developing new AI applications from concept to production within Dell's Office of the CTO. You'll work on small cross-functional teams using pair programming and agile methodologies, rotating through different projects and technologies across the full stack.…See more Required: strong programming fundamentals, proficiency in Go, Python, Java, JavaScript, C++, Bash, or similar languages, plus interest in DevOps practices (microservices, CI/CD, containerization), generative AI, and MLOps. Desired: 5+ years of software development experience, data engineering skills, and familiarity with GenAI frameworks like LangChain.

Shield AI seeks an experienced Site Reliability Engineer to establish and mature the SRE function across Hivemind's cloud infrastructure and platform services. This hands-on leadership role involves defining reliability targets (SLIs/SLOs), improving observability and incident response practices, investigating complex failures, and driving adoption of reliability-first engineering practices.…See more The SRE Lead will mentor teams, develop operational automation tooling, and manage the multi-quarter SRE roadmap while working closely with Cloud Engineering and product teams to enhance system resilience and operational excellence.

Staff-level full-stack engineer responsible for designing, building, and delivering high-quality features for ServiceNow's Lux admin configuration framework and AI-native platform experiences. You will own the complete development lifecycle from architecture through testing and deployment, mentor engineers, and architect modular, reusable component systems.…See more The role requires 8+ years of JavaScript/web experience with advanced proficiency in modern UI frameworks (Lit, React, Vue, Angular), object-oriented design, algorithms, and relational databases, plus experience integrating AI into workflows and serving as a technical lead.

Staff Software Engineer role requiring 8+ years with medium/large codebases, full-stack development expertise, and proficiency in Java, Go, or Python alongside modern web technologies (React, Angular, TypeScript, HTML/CSS). The role involves designing and implementing REST APIs, mentoring junior engineers, ensuring system stability, and collaborating across teams.…See more Experience with cloud platforms (AWS), containerization (Docker/Kubernetes), CI/CD pipelines, and DevOps tooling is preferred.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Senior Staff Engineer responsible for designing and building an MLOps platform that supports distributed AI training, reinforcement learning, and foundation model development at scale. You will architect Kubernetes-native infrastructure for GPU workloads, design self-service AI development workflows, manage the data and model lifecycle, and lead platform distribution across cloud, on-premises, and air-gapped environments.…See more The role requires deep expertise in modern AI frameworks (PyTorch, Hugging Face Transformers), distributed systems, GPU scheduling, and cloud-native infrastructure, with a focus on enabling researchers and engineers to move from experimentation to production rapidly.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Python developer role focused on building and maintaining serverless AWS applications using Lambda, S3, and DynamoDB, with responsibilities spanning infrastructure automation, security (IAM, credential rotation), monitoring (CloudWatch, Splunk), and test automation using BDD frameworks. Requires 2 years of Python/Django development experience, 2 years as a software engineer or consultant, and familiarity with Social Capital Report Platform maintenance.…See more The role involves cross-regional failover implementation, legacy codebase refactoring, and API quality assurance across multiple environments.

Lead a team of full-stack software engineers building ServiceNow's AI Experience Framework (AIUX) — a platform delivering AI-first, conversation-first user interfaces through modular Lit-based web components. You'll manage product development, set technical direction for framework-level APIs, guide architecture decisions across the request path, and represent AIUX in cross-org discussions.…See more The role requires deep expertise in JavaScript and Java/C++/C#/Go, 10+ years of relevant technology experience, 5+ years managing core engineering teams, and the ability to solve complex problems spanning AI integration, performance at scale, and multi-team coordination.

Staff Virtualization Engineer responsible for designing, implementing, and maintaining Teradata's on-premises platform infrastructure with deep expertise in hypervisor technologies (VMware, KVM). The role involves software engineering duties including problem analysis, code review, design, development, testing, and troubleshooting of virtualized infrastructure; driving virtualization best practices; optimizing network hardware/software; performing root cause analysis; and collaborating with DevOps teams to build test automation and tools.…See more Requires expert knowledge of VMware (vSphere, vSAN, vMotion, vCenter, vRA), KVM, Harvester, Infrastructure as Code (Terraform), and proficiency in scripting languages (PowerCLI, Python, Go, PowerShell).

Staff Engineer leading the design and operation of Shield AI's data platform to support autonomous systems, ML workflows, and edge-to-cloud data flows. You will architect distributed storage and compute solutions, build first-party integrations for heterogeneous data sources, and establish operational standards for reliability, security, and observability.…See more The role requires deep expertise in data modeling, API design, distributed systems, Kubernetes infrastructure, and the ability to guide technical direction across autonomy, ML, test, and infrastructure teams.

Senior Software Engineer on the Data Platform team will design, build, and operate cloud-native platform features and services with Kubernetes and hyperscaler expertise. The role requires 5+ years of software development experience (or equivalent), hands-on production software delivery, and proficiency in Go or another systems language.…See more You'll own features end-to-end from design through production, write tests and instrumentation, participate in on-call, and mentor junior engineers through code review and pairing.

Staff-level database engineer responsible for managing production database environments across MySQL, ClickHouse, and MongoDB at scale. The role demands independent execution, proactive monitoring, performance optimization through query tuning and indexing, and 24/7 on-call incident response.…See more Requires 4+ years of MySQL and cloud platform experience (Azure/AWS), strong Linux expertise, and scripting proficiency (Golang preferred); nice-to-have skills include AI tooling integration (LangChain, LlamaIndex), vector databases, and RAG for automating database operations.

Sr. Site Reliability Engineer responsible for building and improving observability infrastructure, monitoring systems, and reliability patterns across AppFolio's Real Estate Platform.…See more You'll work with engineering teams to implement SLIs/SLOs, diagnose performance issues across the full stack, and manage infrastructure-as-code deployments on Kubernetes and AWS. Strong coding skills (Go, Ruby, or Python) and 5+ years of industry experience required; you'll be on-call and expected to help teams become self-sufficient in reliability practices.

Staff Engineer role driving Generative AI transformation across embedded software and engineering infrastructure at Qualcomm. Responsible for executing GenAI workstreams—converting engineering use cases into production-ready AI-enabled workflows for code generation, review, debugging, test automation, and documentation.…See more Will build reusable agents, prompts, MCP integrations, and evaluation flows; partner with embedded, platform, and software teams to onboard and increase adoption of secure, measurable GenAI solutions. Requires 4+ years software engineering experience, 3+ years hands-on GenAI/LLM application development, and strong proficiency in Python, C, C++, or Go with embedded systems familiarity.

Lead Qualcomm's GenAI transformation for embedded and software engineering, building reusable AI agents, agentic workflows, and developer productivity tools that scale across teams. Partner with platform and engineering teams to establish secure AI practices, governance models, and metrics while serving as a technical thought leader who shapes the organization's transition to AI-native engineering workflows.…See more Requires Principal-level technical leadership with deep expertise in generative AI, LLM-based systems, and hands-on experience deploying GenAI solutions in complex engineering environments. Collaborate on code generation, code review, test automation, and release readiness use cases while driving measurable productivity and quality improvements.

Senior hands-on software engineer building the core orchestration, data systems, and internal tooling for an automated chemistry platform. You'll own problems end-to-end across the full stack—Python backend, TypeScript/React frontend, databases, APIs, and distributed systems—designing services, modeling data flows, and building interfaces that connect synthesis requests from intake through execution.…See more You'll work closely with automation engineers, chemists, and ML teams to ship production features, establish engineering practices, and become a primary owner of major platform components. The role prioritizes judgment and problem-solving over language expertise, expecting fluency across the stack and comfort reaching for languages like Rust, Go, or C++ when warranted.

Founding Product Engineer to build a greenfield physical AI product at Netradyne, working across full-stack infrastructure, product UX, and agentic AI features. You'll design multi-tenant cloud and edge systems on AWS with real-time dashboards, compliance analytics, and AI-powered agent orchestration for safety operations.…See more Expected to own end-to-end problems—from device to cloud to customer—with 7+ years of software engineering across backend (Go, Python, Java), cloud infrastructure (containers, CI/CD, distributed systems), and modern frontend (TypeScript/JavaScript). Direct customer collaboration and rapid iteration in the field required; fluency with AI-assisted development tools (Claude, Cursor) expected.

Staff Software Engineer to architect and lead Intuit's next-generation One Logging system, designing high-scale, mission-critical logging pipelines for on-premise and public cloud (AWS, GCP) deployments. Own end-to-end platform evolution from log ingestion through routing, storage, and cost optimization, including components like FELS, Kinesis/CloudWatch integrations, and Log Router.…See more Lead modernization of legacy tooling, design edge collection agents (Fluent Bit, OIL sidecar), and drive automation initiatives using MCP Server capabilities. Provide technical leadership, mentorship, and cross-functional collaboration to align logging platform capabilities across the organization.

Qualcomm IT seeks a Kubernetes generalist to construct, deploy, manage, and troubleshoot high-performance bare-metal on-premises and cloud-based multi-tenant Kubernetes clusters using Rancher (RKE2, GKE, EKS, AKS). Day-to-day responsibilities include monitoring cluster performance and availability, developing platform automation scripts, and leading projects such as self-healing system implementation, Kubernetes version validation, multi-tenancy pattern integration (vcluster), and policy migration (Gatekeeper OPA to Validating Admission Policy).…See more Required skills include 2+ years Kubernetes administration, advanced proficiency in Kustomize/Helm, Docker/ContainerD, git/GitHub, intermediate Kubernetes networking (Cilium) and control-plane architecture knowledge, plus intermediate Python/Go and bash scripting. The role requires full-time onsite work in San Diego, CA.

Software Development Engineer role focused on designing and building scalable cloud-native solutions using microservices architectures in a distributed computing environment. The engineer will write clean, maintainable code, participate in code reviews, and leverage GenAI/AI-powered tools to enhance development productivity.…See more Responsibilities include building resilient systems, practicing CI/CD principles, participating in on-call duties, and demonstrating operational excellence through monitoring and troubleshooting production issues. The role requires experience with data structures, algorithms, object-oriented design, and at least one general-purpose programming language (Java, Python, C++, C#, Go, Rust, or TypeScript).

Senior Software Engineer working on AI-integrated expeditionary systems for the Navy, designing and deploying tactical data pipelines that connect sensors, unmanned systems, and command-and-control platforms. Requires 10+ years in software engineering, data engineering, or related roles, with expert Python skills, containerization experience (Docker/Kubernetes), and hands-on expertise in tactical data formats, event streaming platforms, and system integration.…See more Will collaborate with ML engineers, data engineers, and systems engineers to normalize tactical data, integrate machine learning models, and ensure robust data flow in field-tested operational environments.

A Senior Site Reliability Engineer at SHEIN will own and operate mission-critical, large-scale distributed systems (Kubernetes, Kafka, Elasticsearch, Redis, APISIX, Nginx) running 24/7/365, participating in on-call rotations and driving fast incident response using AI-assisted log analysis and anomaly detection. The role requires strong software engineering expertise in Python or Go, deep Linux and networking knowledge, and hands-on experience with observability platforms (Prometheus, Grafana) and configuration management tools.…See more Responsibilities include designing resilient monitoring and alerting infrastructure, automating operational workflows to eliminate toil, capacity planning, and collaborating with global teams to improve system reliability and performance.