monitoring jobs in San Diego

Senior IT Specialist supporting USSOCOM enterprise operations, providing Tier 1–2 network and systems administration across 70,000+ global users. Responsibilities include installation, configuration, troubleshooting, and lifecycle management of LAN/WAN routing, switching, and systems infrastructure (routers, switches, encryption devices, PCs, phones, VTCs).…See more Must demonstrate strong technical troubleshooting and diagnostic skills, comprehensive knowledge of government hardware/software/network components, and ability to prepare technical implementation plans and coordinate with networking and systems teams.

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.

SAIC seeks a Systems Engineer to lead complex systems engineering activities across IT and engineering domains, including concept of operations, requirements definition, system architecture, validation/verification, and lifecycle cost analysis. The role demands translating customer requirements into comprehensive systems solutions while managing technical, schedule, and cost constraints through functional analysis, trade studies, and interface definition.…See more Responsibilities span infrastructure concerns (power, cooling, storage, monitoring, identity management, automation) and advanced technical problem-solving with independent judgment and strategic input. Requires a bachelor's degree plus 14+ years of experience (or master's plus 12 years, or PhD/JD plus 9 years) and an active TS/SCI clearance with polygraph.

Staff-level backend engineer responsible for setting technical strategy and owning search and recommendation systems at scale. You'll design and launch highly available distributed systems using Python or Kotlin, collaborate across product/design/analytics to balance technical sustainability with business impact, and lead a team through code review standards, mentorship, and operational excellence.…See more The role requires 8+ years of backend systems experience, 2+ years in search/recommendations, and proficiency with AWS, MySQL, Kubernetes, and modern architecture patterns.

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.

Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.

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.

Lead enterprise infrastructure design, implementation, and optimization across on-premises and cloud environments at a major university. Automate administrative processes using PowerShell, Bash, or Python; maintain Windows and Linux servers, directory services, and virtualization; implement security controls and disaster recovery strategies; and mentor junior systems administrators while driving infrastructure improvements and technical projects.See more

This is a DevSecOps Engineer role requiring hands-on expertise in cloud infrastructure, containerization, and CI/CD automation for a classified government project. The role demands proficiency with AWS, Kubernetes, Docker, scripting (Python, Bash, PowerShell), infrastructure-as-code tools (Ansible, Puppet, Chef), and Linux system administration.…See more The candidate must be able to obtain or hold a TS/SCI security clearance and will work on air-gapped and on-premises environments alongside cloud services.

Staff Automation Engineer responsible for developing, testing, and maintaining production automation systems, data pipelines, and workflow tools that support engineering organizations. The role requires strong Python and Linux expertise, SQL/database knowledge, and experience building maintainable backend systems and automation workflows.…See more Responsibilities include troubleshooting production issues, improving system reliability and monitoring, integrating data from multiple sources, and leveraging AI-assisted development tools to accelerate implementation and testing. This is a hands-on individual contributor role focused on execution, delivery, and knowledge transfer during an organizational transition.

This Systems Administrator II role supports containerized and cloud-based infrastructure for a defense-focused technology company. The administrator will maintain system documentation, configuration records, software inventories, and license tracking while supporting both Windows and Linux environments, networking infrastructure, and cybersecurity hardening.…See more Required experience includes Linux command-line proficiency, system configuration and troubleshooting, networking protocols (TCP/IP, DNS, DHCP, VPNs, firewalls), and cybersecurity practices. Preferred qualifications include containerization technologies (Docker, Kubernetes), edge computing hardware, cloud platforms (AWS, Azure), shell scripting, and tactical systems support.

BAE Systems seeks a Platform DevSecOps Engineer to lead infrastructure teams designing, implementing, and maintaining on-premises systems with focus on security, scalability, and reliability. The role centers on developing CI/CD pipelines, automating infrastructure provisioning using tools like Ansible, Puppet, or Chef, and implementing security best practices across cloud and air-gapped environments.…See more The engineer will troubleshoot production incidents, monitor system performance, and stay current with DevSecOps practices. Requires proven DevSecOps experience, ability to obtain TS/SCI clearance, hands-on Kubernetes/Docker containerization, scripting in Python/Bash/PowerShell, and Linux/Unix administration.

Lead a forward-deployed engineering pod (2–5 engineers) architecting and delivering LLM-enabled applications, copilots, and agentic workflows using enterprise AI platforms, particularly Microsoft Azure AI Foundry. Own end-to-end GenAI solution design—from RAG pipeline governance and prompt engineering to production deployment and quality evaluation—while mentoring junior engineers, enforcing delivery standards, and translating business problems into scalable AI systems.…See more Require 7+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment in production, and proven ability to lead technical workstreams in ambiguous, fast-paced client environments.

SHEIN is seeking a Senior Data Engineer to build and productionize GenAI/LLM solutions for data engineering workflows, including code assistance, metadata discovery, and knowledge access. The role focuses on developing RAG and agentic workflows, automating incident triage and log analysis, and integrating AI capabilities into internal developer tools and services.…See more You'll own scoped projects from problem definition through production support, requiring 3+ years of hands-on production experience with strong Python/SQL fundamentals, proven GenAI/LLM application development, and practical knowledge of databases, APIs, data pipelines, and distributed systems.

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 Data Engineer role focused on building and productionizing GenAI/LLM solutions for data engineering workflows. You will develop RAG and agentic workflows, automate incident triage and root-cause analysis, integrate AI capabilities into internal developer tools, and own projects from problem definition through production support.…See more Required: 3+ years of production systems experience, strong Python/SQL, hands-on GenAI/LLM application building, and software engineering fundamentals including testing, CI/CD, and monitoring.

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.

Design and build production AI solutions including copilots, agents, RAG applications, and workflow automations on Azure OpenAI, Claude, and Microsoft platforms. Write custom code in Python, JavaScript/TypeScript, or C# and leverage low-code platforms like Power Automate and Logic Apps where appropriate, following solid engineering practices (version control, testing, CI/CD, AI output evaluation).…See more Integrate solutions with enterprise systems and APIs with security-first design, own projects end-to-end from deployment through adoption and improvement, and work with security, architecture, governance, and compliance teams to ensure production readiness. Communicate clearly to both technical and business audiences, document designs, and coach teammates on AI capabilities, limits, and risks.

Integration Architect for large-scale PLM transformation programs, specializing in Siemens Teamcenter integration with enterprise systems (ERP, MES, CAD/ECAD, data warehouses, supplier portals). Designs and validates scalable integration architectures, defining interface specifications, API designs, integration patterns (real-time, batch, event-driven), and manages coexistence between legacy and new systems.…See more Requires 4–6 years of hands-on experience with Teamcenter integration frameworks (T4EA, T4S, T4O, ITK, REST, SOAP, Webservices) and enterprise integrations (Oracle EBS/ERP, SAP). Works across vendor and geography boundaries, collaborating with business, IT, and offshore teams.

Senior/Staff Data Engineer responsible for building production data pipelines, APIs, and BI tools that serve Agoda's contact center operations. Will design and maintain dashboards, metrics, and analytics platforms using SQL, Python, Java, Golang, or TypeScript; work with data warehouses like BigQuery, Snowflake, or Redshift; and orchestrate ETL/ELT workflows using tools such as Airflow or dbt.…See more At Staff level, defines roadmap for key data platforms, mentors junior engineers, and influences cross-team data architecture to scale with business growth.

As a Datacenter AI Systems and Solutions Engineer at Qualcomm, you will research, develop, and optimize end-to-end AI/ML solutions that integrate Qualcomm's AI inference accelerators with system software and ecosystem components. You will lead the design and deployment of production-ready Generative AI and LLM applications, perform model benchmarking and performance analysis, and serve as a technical lead for customer engagements on AI model optimization and inference tuning.…See more The role requires deep expertise in AI systems architecture, MLOps practices, and large-scale distributed systems, with hands-on proficiency in Python, ML frameworks, containerization, and orchestration platforms. You will drive system-level requirements, hardware/software co-design, and influence product direction through performance analysis and optimization strategies.

Design, implement, and maintain secure DevSecOps automation frameworks across on-premise and cloud infrastructure, integrating security controls into CI/CD pipelines for application and configuration deployment. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, Python, and Bash across Windows, Linux, VMware, Azure, and hybrid environments.…See more Automate provisioning, patching, vulnerability remediation, and compliance checks aligned with FFIEC, NCUA, CIS, and NIST standards while partnering with Cybersecurity, Infrastructure, and Application Development teams. Support container/platform engineering, cloud identity governance, and promote DevSecOps and GitOps practices across technology teams.

Design, implement, and maintain secure DevSecOps automation frameworks and CI/CD pipelines across hybrid infrastructure, cloud, and application platforms. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, and Python to automate provisioning, configuration management, patching, and vulnerability remediation across Windows, Linux, VMware, and Azure environments.…See more Integrate security controls into deployment pipelines including vulnerability scanning, secrets detection, code scanning, and policy enforcement aligned with FFIEC, NCUA, CIS, and NIST standards. Partner across Infrastructure, Security, and Application Development teams to advance DevSecOps practices, container engineering, and secure cloud governance.

Lead senior systems engineer on the EC2 NX Platforms team to design and optimize the packet processing pipeline powering EC2 instances across AWS's global fleet. Drive ultra-high-performance networking software handling millions of packets per second through expert C/C++ development, low-level hardware tuning, and data structure optimization.…See more Own architecture decisions, mentor junior engineers, and ship production code across EC2 and Lambda with full ownership from design through operation. Collaborate with cross-functional teams to implement Software Defined Networking (SDN) capabilities that enhance security, availability, and reliability.