Senior Software Engineer role on the Core Infra Systems team, responsible for owning cross-cutting infrastructure initiatives across AWS, GCP, and networking pillars. You will build self-service tooling and paved-road defaults that enable product teams to provision and operate cloud infrastructure safely, drive standardization across Coinbase's multi-cloud environment, and embed security and compliance guardrails into infrastructure provisioning.… Requires 5+ years of software engineering with 3+ years building and operating production cloud infrastructure on AWS and/or GCP, hands-on experience with cloud networking primitives, proficiency in backend languages like Go or Python, and demonstrated ability to drive cross-team technical initiatives.
go jobs in San Diego
Design and build production AI systems integrated into enterprise workflows, owning the full stack from APIs and backend services through cloud infrastructure, data pipelines, and AI components. Lead multidisciplinary engineering teams, make architectural decisions across cloud platforms (AWS, Azure, GCP), containers, serverless, and infrastructure-as-code, while building agentic systems with tools, memory, and safety controls.… Own DevSecOps practices including CI/CD automation, security scanning, and incident response. Require 5+ years of production software engineering, full-stack development across multiple layers, hands-on experience with a major cloud platform, and proficiency in languages like Java, Python, Go, TypeScript, or C#.
This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.… Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.
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.… 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.
Senior Application Security Engineer responsible for building and tuning Turquoise's application security scanning program (SAST, DAST, SCA, container, IaC scanning) and triaging findings from scans, penetration tests, and bug bounties. Day-to-day work includes partnering with engineering teams to remediate vulnerabilities, performing threat modeling, maintaining secure-coding standards, and supporting incident response for application-layer issues.… Requires 5+ years in application security or software engineering with security focus, deep hands-on experience with scanning tools, strong understanding of OWASP Top 10 and common vulnerability classes, and experience securing cloud environments and CI/CD pipelines.
This role blends data science expertise with hands-on automation engineering to design and deploy intelligent process automation solutions across business units. You will build, train, and validate both classical ML and LLM-based models — including fine-tuning and RAG — and architect end-to-end systems connecting CRM, APIs, and AI services on AWS infrastructure.… Responsibilities span solution design, CI/CD implementation with Jenkins, Python development, agentic AI capabilities, and business translation, with emphasis on measurable business outcomes and compliance.
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.… 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.… 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.
Design, build, and operate production-quality agentic AI systems and developer tooling at scale. Lead multi-agent orchestration, Model Context Protocol (MCP) integration, prompt engineering for structured output, and CI/CD automation for code review and testing.… Partner with engineering teams on discovery, rapidly prototype and validate capabilities, then own the full lifecycle from implementation through production monitoring. Mentor engineers on agentic design patterns and communicate technical tradeoffs to stakeholders.
Cloud Engineer III will deploy, configure, administer, and troubleshoot cloud-based compute, storage, networking, and application infrastructure on AWS and Kubernetes. The role requires hands-on expertise in Linux systems administration, containerized applications (Docker/Kubernetes), cloud networking, IAM, security hardening, and observability platforms.… Responsibilities include supporting production Kubernetes clusters (EKS), implementing Infrastructure as Code (Terraform/CloudFormation), integrating CI/CD pipelines, automating administration with Python/Bash, and troubleshooting complex issues across cloud, container, and application layers. The position demands strong security practices, compliance knowledge for government environments, and collaboration with cross-functional technical and operational teams.
Full-Stack Software Engineer responsible for designing and building an on-premises AI server project focused on privacy for defense applications, with end-to-end ownership from planning through development, testing, deployment, and production support. Must be proficient in one backend language (Go, Rust, Python, C#/.NET, or Node.js), frontend frameworks (React or Vue), and Linux/Docker, with hands-on experience managing GPU workloads, LLM and image generation models, and networking/security.… This is a 100% onsite, full-time role in San Diego with significant technical decision-making authority over system architecture and quality.
Lead a team of security engineers (staff, senior staff, principal levels) owning product security across Intuit's ecosystem, including security reviews, design consults, and risk evaluations. Transform security processes from manual to automation/agent-first, defining baseline controls and security standards for cloud platforms (AWS, GCP, Azure) while raising the bar for AI/agentic systems.… Partner with business and engineering leaders to surface risks early, inform decisions, and drive adoption of security controls across large organizations. Requires 8+ years in security engineering, 3+ years managing managers, deep technical expertise in application security and threat modeling, and demonstrated experience rebuilding security programs with hands-on automation.
Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.… Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.
This is a paid summer internship for undergraduates or graduate students to design, develop, and enhance automated test frameworks and AI-powered testing solutions for medical device software. The role involves developing automation scripts in languages like C#, Python, or Java; supporting AI agents and generative AI/ML technologies for test automation; executing test suites and analyzing results; and troubleshooting software, hardware, and integration issues across cross-functional teams.… Candidates should have at least 3 years of study in Computer Science, Software Engineering, or related fields, with hands-on experience in one or more programming languages and source control systems.
Design and build an on-premises AI server system focused on privacy for defense applications, with end-to-end ownership from planning through deployment and production support. You will make all technical decisions and own the system's quality and performance.… Required skills include a backend language (Go, Rust, Python, C#/.NET, or Node.js), frontend experience (React or Vue with HTML/CSS/JavaScript), Linux/Docker expertise, and AI/GPU knowledge including LLM and image generation models. U.S. citizenship and ability to obtain a DoD security clearance are mandatory.
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.… Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.
Join Aphantic as a Software Engineer to design and develop web-based applications that integrate with custom embedded systems using AI-assisted coding tools. You'll write requirements and test documentation, execute testing, and interface with customers on requirements and design reviews.… The role requires 2+ years of professional software engineering experience, proficiency in Python, JavaScript/TypeScript, Go, C/C++, or Rust, Linux systems knowledge, and web-based UI development skills including TLS/HTTPS networking.
The AVP Tech, Edge Security Engineer designs, builds, and supports highly available enterprise edge infrastructure and security controls using CDN platforms like Cloudflare, Akamai, and Fastly. The role requires architecting edge security standards, performing threat hunting and mitigation, and leading proof-of-concepts for emerging technologies including AI-driven solutions.… Responsibilities include collaborating with enterprise and security architecture teams, improving observability and security posture across edge environments, and participating in on-call incident response. Required experience spans 4+ years with edge infrastructure and CDN platforms, 4+ years with enterprise monitoring tools (Splunk, Datadog, Dynatrace, Grafana), global load balancing solutions, enterprise DNS, and infrastructure automation (Terraform, Ansible, Python, Go).
ServiceNow seeks a Staff Software Engineer (IC4) for their Data Platform Engineering organization to design, build, and operate cloud-native platform components and services on Kubernetes at scale. You will own well-scoped projects end-to-end, from design through production, collaborating with senior engineers and mentoring junior team members.… The role requires 8+ years of software development experience, 5+ years hands-on with Kubernetes, expertise in at least one major hyperscaler (AWS, Azure, GCP), and strong Go programming skills. You will focus on building operators, controllers, automation, and platform services that other teams depend on, with emphasis on reliability, scalability, operability, and infrastructure-as-code practices.
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.… 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.… 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.… 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.… 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.
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.… 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.
Cloudflare seeks a Senior Customer Engineer to serve major accounts in the Southwest, acting as a trusted technical advisor on enterprise network and security architectures. The role combines deep consultative skills with hands-on technical expertise across Internet fundamentals, security, performance, and developer platforms—translating complex technical concepts into business outcomes for both engineering teams and C-suite executives.… The engineer will demonstrate architectural breadth in at least four domains (OSI layers, BGP, WAF, Zero Trust, caching, AI/LLM workflows, scripting, or cloud-native development) and drive customer adoption through technical enablement, custom integrations, and solutions design. This is a quota-carrying, revenue-aligned customer-facing role requiring exceptional communication, SaaS business acumen, and the ability to navigate full-lifecycle enterprise sales cycles.