observability jobs in San Diego

Software Developer III will design, develop, test, integrate, and deploy software for the Application Arsenal platform, translating user stories and operational requirements into secure, maintainable solutions. The role requires hands-on coding in languages like Python, Java, C#, Go, or C++; implementing modern architectural patterns (microservices, event-driven, serverless); and managing the complete software delivery lifecycle including CI/CD pipelines, automated security testing (SAST, DAST, SCA), and containerization.…See more The developer will support Kubernetes and cloud deployments, troubleshoot issues across laboratory and operational environments, and collaborate with systems engineers, cybersecurity teams, and government stakeholders. An active Top Secret or TS/SCI clearance with Tier 5 investigation, Security+ certification, and minimum 5 years of Agile software development experience are required.

This is a senior full-stack engineer role responsible for architecting and building internal platforms and cloud infrastructure that serve operations, finance, lab, and external customers. The engineer will design data models and APIs connecting lab systems, business software (NetSuite, ATS, CRM), and internal dashboards; build robust cloud infrastructure managing provisioning, cost, reliability, and security; and set technical direction on architecture, code quality, CI/CD, and observability across a growing engineering org.…See more The role requires 10+ years of full-stack production experience, deep hands-on cloud infrastructure knowledge, modern frontend (React) and backend skills, and ability to work directly with non-engineering stakeholders to translate ambiguous business requirements into shipped software. Over time, the engineer will build and mentor a team.

Lead the design, build, and operation of enterprise-scale Databricks Lakehouse platforms at Qualcomm, driving AI-native development, MLOps practices, and cloud modernization. This hands-on Staff IT Engineer role requires 4–5 years of Databricks experience and 8–12 years total IT background, with responsibility for platform architecture (Delta Lake, Unity Catalog, Workflows), machine learning enablement (MLflow, Mosaic AI), AIOps automation, and technical mentoring of engineers.…See more You will establish engineering standards, optimize platform performance and cost, implement observability and self-healing automation, and drive adoption of generative AI tools and intelligent automation across development teams.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

Director-level role managing infrastructure and operations for a healthcare systems company. Responsible for leading on-premises data center and enterprise facilities infrastructure, overseeing Windows/Linux servers, virtualization (VMware), SAN/NAS storage, disaster recovery, cloud platforms (Azure, AWS, GCP), networking (LAN/WAN, SD-WAN, firewalls, DNS, DHCP), identity and access management, and infrastructure monitoring.…See more Requires 10 years of subject-matter expertise, 8 years supervisory experience, and deep knowledge of IT service management, infrastructure automation, and compliance.

Design, build, and own backend services that ingest, process, and store real-time and historical vehicle telemetry at fleet scale for autonomous maritime vessels. Architect APIs exposing vehicle and mission data to internal tools and customer integrations, with focus on reliability and low latency.…See more Design data models and storage strategies for high-volume time-series and geospatial data, and improve scalability, observability, and reliability of existing backend systems as fleet size grows. Requires 8+ years backend engineering experience, strong proficiency in Python or Go, deep REST/streaming API design experience, relational database expertise (PostgreSQL preferred), and distributed systems knowledge.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Build and ship production iOS and Android features using Swift/SwiftUI and Kotlin/Jetpack Compose, designing mobile architecture for networking, persistence, authentication, and state management. Profile and optimize startup time, memory, battery, and crash rates using platform-specific tools.…See more Write unit, integration, and UI tests; maintain CI/CD pipelines via Fastlane or equivalent; and diagnose production issues across App Store and Google Play. Requires 3–8 years shipping native mobile apps with strong Swift and/or Kotlin proficiency, REST/GraphQL API design, and hands-on mobile testing and release management experience.

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.

Senior architect responsible for designing and leading enterprise-scale data platforms on Databricks and AWS, including cloud modernization, data migration, and lakehouse architecture. Requires deep expertise in PySpark, advanced SQL, Delta Lake, and data warehousing patterns, with accountability for technical strategy, solution design, and mentoring engineering teams.…See more Will drive CI/CD practices, data governance frameworks, data quality standards, and technical decision-making across complex data infrastructure initiatives. Expected to engage senior stakeholders, manage client relationships, and champion AI-powered engineering tools for productivity and automation.

This Technical Lead role focuses on architecting, developing, and deploying production-grade Agentic AI solutions on AWS using .NET/C#. The ideal candidate will have hands-on expertise in LLMs, generative AI, RAG, prompt engineering, and agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen), combined with strong .NET enterprise development and AWS cloud-native skills.…See more Responsibilities include taking AI solutions from POC to production, designing microservices and REST APIs, and ensuring AI evaluation, monitoring, observability, and governance. Technical leadership, stakeholder management, and system design fundamentals are essential.

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

The Senior DevOps Engineer will design, build, and maintain cloud infrastructure and CI/CD automation across Azure and AWS, managing containerized microservices at scale with Zero-Trust security patterns. The role requires architecting infrastructure-as-code solutions, deployment pipelines, and platform tooling to ensure high availability and reliability for cloud-native SaaS applications.…See more This position bridges development and operations, collaborating with engineering teams to implement automation and research innovative solutions. You'll need 5+ years of software engineering and DevOps experience with demonstrable expertise in cloud platforms, Kubernetes orchestration, CI/CD tools, and container technologies.

A Senior DevOps Engineer will design, build, and maintain cloud infrastructure and CI/CD pipelines for a clinical-trial SaaS platform on Azure and AWS. The role spans infrastructure-as-code (Terraform), container orchestration (Kubernetes, Docker), CI/CD automation (GitHub Actions, Jenkins, Azure DevOps), and monitoring/observability, with responsibility for zero-trust security, microservice scaling, and platform reliability.…See more The engineer will collaborate with software teams to architect cloud-native deployments and research emerging technologies to enhance platform performance. The position also involves some server-side application development support using Node.js and Python, and familiarity with LLMs for DevOps automation is a plus.

Staff Platform Engineer at Shield AI will design, build, and operate highly available infrastructure platforms supporting mission-critical systems across cloud and on-prem environments. Responsibilities include improving CI/CD pipelines, developer platform tooling, and automation frameworks; implementing scalable solutions for compute, networking, identity, and storage; and partnering with security teams to embed controls and compliance into platform architectures.…See more The role requires 8+ years of hands-on platform engineering, DevOps, or SRE experience with deep expertise in Infrastructure as Code (Terraform, Ansible), Linux systems, distributed systems, and scripting/programming languages (Python, Go, Bash, PowerShell).

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and developer experience. The role involves building self-service infrastructure tooling, contributing to observability and SLO definitions, participating in on-call rotations, and automating infrastructure provisioning using Terraform.…See more Requires 3+ years of software or infrastructure engineering experience, production Go development, hands-on Terraform expertise, and deep knowledge of distributed systems concepts and operational practices.

Staff Platform Engineer at Shield AI responsible for designing, building, and operating highly available cloud and hybrid infrastructure platforms supporting mission-critical systems. The role spans infrastructure-as-code development, CI/CD pipeline enhancement, developer tooling, and platform automation to accelerate engineering productivity.…See more Requires 8+ years of platform engineering, DevOps, or SRE experience with deep hands-on expertise in cloud infrastructure, networking, identity, storage, and infrastructure automation across Linux environments. Expected to partner with security teams on compliance and DevSecOps practices, establish scalable platform patterns, and lead complex platform initiatives across large-scale engineering organizations.

Design and review data engineering solution architectures on AWS and Databricks, aligning technical decisions with business goals and market trends. Lead enterprise-scale data migration and modernization programs, mentoring teams and driving initiatives from proposal through delivery.…See more Provide hands-on expertise in Databricks, PySpark, SQL, and AWS, with strong proficiency in CI/CD pipelines, data governance, and engineering best practices. Engage with clients and internal stakeholders to build productive relationships and ensure successful project execution.

This role is a Data Engineering Architect responsible for designing and reviewing enterprise-scale data architectures on Databricks and AWS, leading migration and modernization programs, and resolving complex technical challenges during build and deployment phases. The architect will provide strategic insights to development teams and clients, establish data governance frameworks, monitor system performance, and contribute to proposals and RFPs.…See more Required expertise includes hands-on proficiency in Databricks, PySpark, SQL, AWS, CI/CD pipelines, and data architecture best practices, with proven experience in enterprise-scale programs and strong technical leadership and stakeholder management skills.

Staff Software Engineer on the AI Experience Framework (AIUX) team, responsible for full-stack architectural decisions in a JavaScript/component-driven environment powering ServiceNow's AI-first user interfaces. You will own code from design through delivery, architect modular reusable component systems, set framework-level technical direction for AI integration and state management, and serve as an escalation point for production issues across multiple teams.…See more The role requires 8+ years of OO language experience (Java, C++, C#, Go), advanced expertise in modern UI frameworks (React, Angular, Vue, Lit), relational databases, and data structures/algorithms/design patterns at scale.

Staff Software Engineer role owning full-stack architecture for ServiceNow's AI Experience Framework (AIUX), building modular Lit-based web components that power conversation-first applications. Responsible for end-to-end code delivery from design through production, setting technical direction for framework-level APIs, and serving as an escalation point for production issues across multiple teams.…See more Requires 8+ years of OO language experience (Java, C++, C#, Go), advanced JavaScript/modern UI framework expertise (Angular, React, Vue, Lit), and deep knowledge of data structures, algorithms, design patterns, and performance optimization. Expected to mentor colleagues, coordinate cross-org architecture decisions, and architect scalable component systems for extensibility.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

As a Fullstack Software Engineer, you will design and build modern web applications and APIs for financial technology, working across ReactJS/TypeScript frontends and backend systems (Node.js, Java/Spring) that handle large-scale transactions with real-time processing. You'll own end-to-end features, implement secure and compliant systems with advanced security practices (CSP, encryption, vulnerability assessment), and optimize for performance and scalability.…See more The role requires 5+ years of software engineering experience with strong proficiency in React, modern JavaScript/TypeScript, backend frameworks, SQL/NoSQL databases, and testing frameworks (Jest, Cypress, Playwright). You'll collaborate with engineers, designers, and product managers in an agile environment, participate in code reviews, and mentor junior developers.