logging jobs in San Diego

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

As L3 production support lead for ClaimBeacon, a Guidewire-integrated agentic AI platform, you'll own end-to-end troubleshooting and resolution of production bugs, data pipeline failures, AI agent issues, and small enhancements across the full stack (Java, Python, Flutter). You'll reproduce issues using logs and monitoring tools, decide what escalates to core engineering, and ensure fixes maintain data/AI governance and compliance standards.…See more The role requires 5+ years of software engineering or production support experience with proven end-to-end ownership of production issues, plus comfort working across frontend, backend, data, and infrastructure in a live, high-pressure environment.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

As a Research Cybersecurity Analyst, you will review research contracts, proposals, and data-use agreements to identify security and compliance requirements, then conduct risk assessments and recommend practical safeguards. You will coordinate security controls across cloud and on-premises research environments, assess architectures for identity management, encryption, and network segmentation, and develop compliance documentation (SSPs, POA&Ms) for sponsor audits and CMMC readiness.…See more You will work with researchers, IT teams, and compliance partners to interpret regulatory requirements, map them to controls, and explain technical security obligations in practical terms to non-technical stakeholders. Experience in NIST frameworks, security assessments, vulnerability management, and regulated environments (higher education, research, healthcare, government, defense) is especially valued.

This role supports research teams at a university by reviewing security requirements in research contracts and proposals, conducting risk and compliance assessments, and recommending practical security approaches. The analyst will coordinate security controls across cloud and on-premises research environments, assess security architectures and configurations, and develop compliance documentation including SSPs and POA&Ms.…See more The role requires interpreting cybersecurity frameworks (NIST SP 800-171, CMMC, NIST SP 800-53) and communicating technical requirements to researchers and non-technical stakeholders across identity and access management, encryption, vulnerability management, and network security.

Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.…See more Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

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.

As a Staff Site Reliability Engineer at Altium (Renesas), you will ensure reliability, availability, and performance of large-scale SaaS cloud platforms through a combination of software engineering and systems administration. You will pioneer improvements in observability (logging, monitoring, APM), develop reliability frameworks, contribute to incident response and management, and drive automation and Infrastructure as Code initiatives across multiple regions.…See more The role requires 6+ years of SRE/DevOps experience in large-scale environments, 3+ years of software development (ideally .NET), strong knowledge of Kubernetes, AWS, microservices, and HA architecture, plus hands-on expertise with observability tools, CI/CD platforms, and IaC tools.

Shield AI seeks an experienced SRE Lead to establish and mature reliability practices across Hivemind's cloud infrastructure and platform services. This hands-on technical role involves defining SLIs/SLOs, building monitoring and alerting systems, leading incident response, and driving root-cause analysis.…See more The SRE Lead will mentor teams, develop operational tooling in Python or Go, and partner with product and cloud engineering teams to embed reliability-first practices into system design and infrastructure provisioning.

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.

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.

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.

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.

Staff IT Cloud Engineer at Qualcomm responsible for designing, implementing, and operating enterprise cloud environments across AWS, OCI, and Azure. Establish CI/CD/GitOps operating models, manage Kubernetes platforms, drive cloud governance and FinOps practices, and mentor engineers on infrastructure modernization and platform reliability.…See more Requires 10+ years of cloud/DevOps experience with advanced Terraform, Kubernetes, and enterprise cloud platform expertise; strong hands-on background in AWS, OCI, or Azure with deep understanding of cloud networking, security, and observability.

As a Staff Data Engineer on Dexcom's Commercial Data Science & Revenue Operations team, you will design and operate the company's commercial data platform on AWS, building pipelines that ingest from 12+ vendor sources, transform data, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. You will own AWS-native development using Lambda, Glue, CDK, Step Functions, and Redshift, with responsibility for data quality frameworks, alerting systems, warehouse schema design, and governance compliance.…See more The role requires hands-on proficiency in Python, SQL, AWS architectures, and CI/CD practices, along with experience building observability infrastructure and working with healthcare compliance requirements like HIPAA. You will also mentor team members and partner with business stakeholders to translate data capabilities into strategy.

Design, build, and operate scalable platform infrastructure across Azure, AWS, and private cloud environments using infrastructure-as-code, Kubernetes, and automation tooling. Develop reusable platform capabilities, CI/CD pipelines, and self-service infrastructure for engineering teams.…See more Own platform initiatives end-to-end from technical design through production operations, including deployment automation, configuration management, observability, and lifecycle management. Requires 7+ years of platform engineering or DevOps experience, strong hands-on proficiency with Terraform, Ansible, Python/Go, Kubernetes, and Linux systems administration.

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.

Senior Enterprise Applications Developer responsible for designing, delivering, and supporting complex enterprise software, integrations, data solutions, and automation across cloud and on-premises environments. Requires 7+ years of progressive experience with advanced Python proficiency, hands-on expertise in REST APIs, ETL/data pipelines, CI/CD practices, and AWS or Azure cloud-native development.…See more Must demonstrate ability to lead solution design from requirements through production support, with experience in workflow automation, AI/LLM integrations, and compliance frameworks (HIPAA, SOC 2, SOX). Strong emphasis on security, governance, architecture, and cross-functional collaboration with technical teams and business leaders.

Lead the design and engineering of enterprise-ready AI agents with retrieval, orchestration, policy-based routing, and lifecycle observability across multiple AI providers. Develop cloud-native abstraction layers, containerized microservices, and serverless architectures to deliver scalable agentic systems.…See more Tailor domain-specific workflows for finance, healthcare, and retail verticals through intelligent automation. Conduct design workshops, POCs, and code sessions with clients to shape data-driven agent workflows while defining metrics, evaluation harnesses, and best practices for agent accuracy, latency, safety, and cost-effectiveness.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.