observability jobs in San Diego

Design, build, and deploy production agentic AI solutions powered by Claude for enterprise clients, from proof-of-concept through production. Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.…See more Modernize existing AI/ML platforms with generative AI capabilities including RAG and agent-based orchestration. Advise clients on generative AI adoption strategy, responsible AI practices, and model selection while partnering with technology, data, and business stakeholders to scope and deliver solutions.

This role blends technical presales engineering with hands-on delivery for Deloitte's banking and fintech clients. You'll serve as the technical point of contact for strategic accounts, leading discovery and design sessions, building POCs and demos, and facilitating workshops to help clients adopt cloud-native, event-driven, and AI-powered architectures.…See more You'll need deep Java/Spring Boot expertise, strong microservices and event-driven architecture knowledge (Kafka, CQRS, async patterns), hands-on multi-cloud experience (AWS primary, Azure/GCP secondary), and familiarity with LLM integration and agentic AI frameworks. The role demands you translate between technical stakeholders and executives, own the customer voice back to the product team, and travel 20–30% to client sites.

Lead a team designing and delivering enterprise HR solutions on the Workday platform, with deep responsibility for integrations, APIs, and custom extensions. Own technical architecture, security models, and engineering standards across Workday Extend, Orchestrate, Studio, and Core Connectors.…See more Drive platform modernization, mentor engineers, balance strategic initiatives with operational delivery, and lead architecture/code reviews and technical governance across multiple teams.

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.…See more 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.…See more 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.

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.

Senior Software Engineer responsible for designing and operating Affirm's analytical data platform, including secure data access patterns, CI/CD integration, self-service automation, and observability infrastructure. The role requires hands-on expertise with cloud data platforms (Snowflake, Databricks, BigQuery), containerization, API integrations, and Python/SQL backend work.…See more You'll participate in on-call coverage, triage production incidents, and help build next-generation capabilities including semantic layers and AI-native data tooling while setting high engineering standards across the platform.

Develop and maintain the autonomy software integration layer for autonomous aerial vehicles, bridging planning, controls, simulation, and vehicle hardware interfaces. You'll design and execute software-in-the-loop and hardware-in-the-loop tests, debug cross-system failures, build integration tooling for deployment and diagnostics, and support flight-test campaigns from preparation through post-flight analysis.…See more This role requires strong production C++ and Python skills, hands-on experience integrating autonomous software with real hardware, and the ability to reason across configuration, networking, timing, and hardware boundaries to surface architectural brittleness.

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, build, and operate secure, scalable DevOps platforms at enterprise scale, with deep expertise in Kubernetes, Jenkins, Docker, and CI/CD infrastructure. Manage containerized workloads, implement monitoring and observability, provision and operate AWS infrastructure, and ensure platform reliability through incident response and capacity planning.…See more The role requires 3+ years of IT experience (or 5+ without a degree) with strong Linux administration, hands-on Kubernetes and Docker expertise, Jenkins infrastructure administration at scale, and CI/CD platform knowledge. This is a hands-on engineering role focused on platform reliability, security hardening, and developer enablement.

Build production AI features and workflows powered by large language models, including retrieval-augmented generation (RAG), agentic orchestration, and tool/function calling integrations. You will design and implement scalable microservices in Python or Java that connect foundation model APIs to business data and internal systems, with responsibility for AI quality, evaluation, observability, and safe deployment on AWS.…See more Collaborate with cross-functional teams to prototype solutions, measure outcomes, and move proven capabilities into production while maintaining reliability, security, and auditability.

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.

Senior Staff Software Engineer responsible for architecting and leading Intuit's Virtual Expert Platform (VEP), an agentic AI customer success system that serves Customer Success Managers, onboarding specialists, and partner teams. The role requires deep hands-on development (50–70%) alongside strategic architecture work, designing multi-agent systems end-to-end, establishing technical standards and AI safety frameworks, and driving complex cross-team technical problems to resolution.…See more This engineer will define observability and guardrail patterns for AI in production, mentor senior engineers, and influence product roadmap strategy with senior business leaders.

Build and ship production ML systems end-to-end for autonomous medical coding in a SaaS platform, from problem framing through deployment and monitoring. Own the full lifecycle—data discovery, feature engineering, training, evaluation, and iteration—working with LLMs, deep learning, and modern MLOps tooling to handle millions of medical charts daily.…See more Design robust, low-latency architectures, establish rigorous evaluation strategies, and implement model observability, drift detection, and bias assessments. Collaborate across product, data, and platform teams to translate business goals into measurable ML outcomes.

This is a hands-on DevSecOps engineering role focused on designing and maintaining secure CI/CD pipelines, software supply-chain controls, and Kubernetes deployment standards. The engineer will work across Azure DevOps, Nexus, SonarQube, and container orchestration to integrate security and quality checks into build and release workflows, support platform engineering teams, and enable developers with documentation and automation.…See more Responsibilities include implementing SAST, SCA, dependency scanning, secrets management, artifact controls, and compliance alignments (NIST, CMMC, RMF, Zero Trust); troubleshooting pipeline and deployment failures; and creating runbooks and guardrails. The role requires 5+ years in DevOps/DevSecOps, hands-on Azure DevOps and Kubernetes experience, scripting proficiency, and an active Secret Clearance with eligibility for TS/SCI.

Senior Software Engineer role focused on building and scaling full-stack client and team member-facing applications. Owns features end-to-end from problem definition through design, implementation, deployment, and iteration using Next.js/React frontend with NestJS GraphQL backend on AWS/EKS.…See more Expected to leverage AI tools and agentic workflows as a core part of the development process, collaborating with engineering, product, design, and business teams to translate ambiguous requirements into scalable, maintainable solutions.

Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.…See more Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.

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.…See more 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.…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.

Staff Engineer responsible for designing and implementing scalable test automation frameworks and infrastructure for machine learning systems across multiple engineering teams. The role requires expertise in validating ML pipelines across data, training, evaluation, deployment, and monitoring; testing GPU-accelerated workloads in Kubernetes; qualifying integrated hardware and software systems; and developing comprehensive integration and regression strategies.…See more Deep experience with Python automation, distributed systems testing, performance profiling, and observability is essential, along with strong system-design skills for complex, multi-tenant environments.

Lead enterprise AI platform strategy and execution at a biotech company, driving end-to-end program delivery across engineering, data, cybersecurity, and product teams. Own platform health, KPIs, and telemetry; establish governance, safety guardrails, and regulatory compliance for AI-enabled solutions in a regulated environment.…See more Define multi-year AI roadmaps, coordinate cross-functional dependencies, and orchestrate Agile delivery while partnering with legal, compliance, and tech enablement to ensure scalability, security, and enterprise adoption.

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.…See more 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.

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.

As a Staff Cloud Engineer, you will design, build, and operate AWS infrastructure and shared development environments supporting Shield AI's software products. You will use Terraform and infrastructure-as-code tools to automate provisioning, manage containerized workloads on Kubernetes, implement cloud IAM and security controls, and improve observability and reliability across multi-product infrastructure.…See more This hands-on role requires experience with shared cloud infrastructure, container orchestration, regulated environments, and AWS cost optimization.