incident-management jobs in San Diego

Design, build, and operate an enterprise ITSM platform centered on BMC Remedy AR System 9.1, managing the full application stack (Incident, Problem, Change, Request, Knowledge, Asset modules) plus Smart IT, Digital Workplace, and CMDB integrations. Lead system upgrades, patches, schema migrations, and maintain security compliance per RMF/ATO requirements.…See more Automate routine tasks and deployments using Python and/or PowerShell, optimize CMDB data quality, and provide Tier 3 support and mentorship to junior administrators.

Director-level hands-on technical leader responsible for designing, implementing, and operating enterprise infrastructure across AWS, Azure, and Microsoft 365 environments. Will personally architect and troubleshoot complex hybrid cloud, networking, identity, endpoint, and workplace solutions while leading infrastructure teams, managing vendors, budgets, and roadmaps.…See more Must establish engineering standards for Zero Trust, disaster recovery, and business continuity while partnering across security, application, data, and business teams. Requires 15+ years of progressive infrastructure and platform engineering experience, 7+ years leading technical teams, and deep expertise in AWS services, Microsoft 365 (Entra ID, Exchange, Teams, SharePoint, Intune, Defender), Azure, Infrastructure as Code, and automation.

Provide IT infrastructure, application, and technical support for laboratory environments in life sciences/pharmaceutical/biotechnology settings. Install, configure, maintain, and troubleshoot laboratory IT systems including LIMS, ELN, LES, CDS applications, laboratory instruments, Windows servers, Active Directory, and networking.…See more Support GxP-regulated environments, system validation, change control, and audit activities while ensuring security, availability, and data integrity.

Lead the design and implementation of enterprise security enforcement technologies, including SIEM platforms, endpoint security, threat detection, and incident response systems. Develop and maintain a forward-looking cybersecurity technology roadmap aligned with NIST frameworks and business objectives, evaluating emerging threats and technologies to strengthen organizational security capabilities.…See more Conduct threat hunting, penetration testing, and detection engineering activities while driving automation of security controls, policy enforcement, and response across complex technology environments. Mentor cybersecurity teams and influence enterprise security strategy across large organizations, with demonstrated experience securing AI-enabled solutions and understanding AI-specific security considerations.

Cloud Engineering Manager leading enterprise cloud infrastructure teams at a credit union, requiring 9+ years of progressive cloud engineering experience with hands-on expertise in Azure, CI/CD, containerization, and infrastructure-as-code. The role combines deep technical work—architecture, troubleshooting, AKS management, database engineering, identity/access management, and cloud security—with team leadership, mentoring, and operational oversight of digital banking services.…See more Must demonstrate proficiency across Docker, Kubernetes, Terraform, monitoring (Datadog), and financial-industry compliance standards while driving DevOps automation and cost optimization.

Lead information security engineer responsible for designing and implementing comprehensive security architectures across ICW Group's IT and business technology infrastructure. Will conduct risk assessments, penetration tests, and security compliance reviews; partner with systems engineering and project management teams to ensure secure design throughout the development lifecycle; and lead remediation strategies for identified vulnerabilities.…See more Requires 10+ years of security engineering experience, AWS cloud security expertise (3–5 years preferred), and hands-on proficiency with IDS/IPS, firewalls, SIEM, forensics tools, and endpoint security solutions.

Information Security Engineer III will lead security architecture reviews and threat modeling for data, analytics, AI, and cloud initiatives at an insurance company. The role involves designing and implementing security controls for AWS data platforms and AI/ML workloads, providing oversight of LLM usage and emerging AI threats, and mentoring engineering teams on secure development practices.…See more You will partner with Engineering, Cloud, Data, and Operations teams to embed security into system design, manage compliance with NIST, NYDFS, PCI DSS, and CPRA/CCPA standards, and evaluate third-party vendors and security tools. The position requires 8+ years of security engineering experience, 3-5 years in AWS cloud security, and expertise in threat modeling, risk assessment, and incident management.

As an MDM Solutions Engineer, you will serve as a product and delivery lead for Reltio and/or Informatica MDM platforms in Life Sciences, designing and maintaining master data models for HCP/HCO, accounts, affiliations, and product hierarchies. You will configure identity resolution, survivorship, and stewardship workflows; establish data quality rules and monitoring; and partner with cross-functional stakeholders to drive adoption and governance operations.…See more The role requires 5+ years of data management/MDM experience with 2+ years of hands-on Reltio or Informatica MDM implementation, plus deep knowledge of Life Sciences commercial domains and data governance frameworks.

This is an onsite production support role for enterprise analytics platforms, requiring 5+ years of experience supporting Matillion, Cognos, Power BI, Tableau, and MDM environments. The specialist will act as the primary point of contact for analytics, BI, ETL, and MDM issues, coordinating between end users, business stakeholders, and offshore teams while managing daily operational health, incident response, and SLA performance.…See more The role demands expertise in cloud analytics platforms (AWS, Azure, Snowflake), ITIL-based service management, and ticketing systems like ServiceNow or Jira, with strong skills in incident/problem/change management and translating technical issues for business audiences.

Staff Engineer who will design, build, and operate the Forge Platform—a distributed-systems foundation serving autonomy, ML Ops, simulation, and application teams. You will own architecture and technical standards for workflow orchestration, asynchronous processing, event-driven systems, and long-running service workflows while remaining hands-on in implementation, production troubleshooting, and reliability improvement.…See more Required: strong production experience with distributed systems, cloud-native platforms, or backend infrastructure; fluency in Go and Python; deep understanding of failure handling, consistency, fault tolerance, and state management; and ability to turn recurring infrastructure needs into reusable platform capabilities. You will work across Kubernetes, service networking, observability, and data pipelines to enable downstream teams to move faster on mission-critical systems.

Lead a technical program across 55+ production services while personally designing and building AI-agent-driven automation to streamline operational processes. You'll own program execution (scope, milestones, cross-functional coordination, executive reporting) alongside hands-on delivery of automation solutions including ticketing, reconciliation, telemetry, and workflows.…See more The role requires 7+ years of technical program management in platform/infrastructure environments plus proven ability to personally ship automation (API integrations, dashboards, AI-agent tools). You'll establish AI governance, validation controls, and human-in-the-loop processes to ensure automation is reliable, auditable, and maintainable.

This is a Staff Site Reliability Engineer role focused on ensuring reliability, availability, and performance of Altium's large-scale SaaS cloud platforms. The role combines software engineering and systems administration, requiring 6+ years of SRE/DevOps experience and 3+ years of software development (preferably .NET).…See more Responsibilities include designing observability frameworks, automating operational tasks, managing incidents, implementing infrastructure-as-code, and collaborating with engineering teams on reliability best practices across AWS and Kubernetes environments.

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.

Staff-level cloud software engineer responsible for designing, developing, and maintaining scalable, secure cloud infrastructure solutions. Leads cloud migration projects, performs code reviews, conducts unit and integration testing, and serves as a technical mentor to engineering teams.…See more Analyzes user needs and system requirements to determine feasibility within constraints, troubleshoots complex software issues, and ensures cloud environments meet organizational security, compliance, and governance standards.

Staff-level cloud software engineer responsible for designing, developing, and maintaining scalable cloud infrastructure solutions. Leads cloud migration projects, architects secure and cost-effective cloud environments, and monitors systems for performance and compliance.…See more Serves as a technical leader and mentor, performing code reviews, troubleshooting complex issues, and collaborating across teams to define cloud strategies and ensure organizational security and governance requirements are met.

Technical Lead responsible for designing, developing, and optimizing NICE CXone architecture and call flows for voice and digital channels integrated with LiveVox. Will design high-level and low-level architectures including data flow diagrams, lead ACD/IVR call flow design, and drive integrations across CRM, ERP, WFM, QM, and analytics systems using REST/SOAP/Webhooks.…See more Role requires ensuring scalability, high availability, disaster recovery, compliance, and performance optimization while conducting architectural reviews and providing technical guidance to cross-functional teams. Will lead AI/automation enhancements, migration roadmaps, root cause analysis, and act as a technical liaison for cloud migration and CX transformation consulting.

Lead a team of 6–10 engineers building and operating core cloud-native platform services on Kubernetes and hyperscalers. Own end-to-end delivery, team development, and technical direction while staying hands-on with design reviews and architectural decisions.…See more Establish SLOs, on-call practices, and operational excellence across AWS, Azure, GCP, and on-prem environments. Act as a player-coach who combines people leadership with deep technical judgment on distributed systems, containers, CI/CD, and infrastructure-as-code.

The Manager of Digital Transformation will lead engineering teams through AI and automation initiatives at a defense shipbuilder, identifying practical use cases and coordinating proofs-of-concept for secure, compliant automation. The role requires 7+ years in engineering or technical environments with 3+ years of team leadership, plus strong change-management capabilities to guide stakeholders through organizational and technological transitions.…See more The manager will translate engineering needs into scalable solutions, manage platform stewardship, compliance frameworks (FedRAMP, ITAR/EAR, CMMC/NIST), and enterprise platform procurement. Success demands technical knowledge of engineering workflows, data governance, multi-system integration, and emerging AI/automation technologies, paired with exceptional communication and conflict-resolution skills.

Cloud Security Engineer III responsible for designing, implementing, and maintaining security controls across the company's infrastructure with a focus on AI/ML platforms. The role involves monitoring AI/ML systems for anomalous behavior, identifying and remediating vulnerabilities in ML pipelines, and collaborating with data scientists to implement secure AI/ML solutions.…See more Requires 8+ years of security engineering experience, 3-5 years of AWS cloud security expertise, AWS Security Certification, and foundational knowledge of ML lifecycle and AI/ML security concepts.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

Design, build, and maintain real-time data ingestion pipelines that reliably stream data from diverse sources into a production data platform. You will ensure data quality, observability, and scalability while monitoring pipeline health, building resilient systems with proper error handling and backpressure strategies, and automating monitoring and alerting for timeliness and data issues.…See more Partner with data engineers, platform engineers, and analytics teams to configure pipelines for reliability, perform root cause analysis on outages, and work with security teams on encryption and data governance. Proficiency required in Python and bash scripting, plus hands-on experience with tools like Kafka, NiFi, Flink, Spark, Snowflake, Grafana, and Prometheus.

Design, build, and maintain real-time data ingestion pipelines that reliably stream data from multiple sources into a centralized data platform. You will ensure data quality, observability, and low-latency delivery while collaborating with data engineers, platform engineers, and analytics teams.…See more Responsibilities include building resilient pipelines with error handling, automating monitoring and alerting for data issues, performing root cause analysis on outages, and partnering with security teams on encryption and data governance. You must demonstrate proficiency in Python and bash scripting, familiarity with tools like Kafka, NiFi, Spark Streaming, Snowflake, and Elasticsearch, and 3+ years of experience in data engineering or DevOps roles supporting production pipelines.

Lead technical support and implementation for SAP Manufacturing Execution (ME) and Manufacturing Integration and Intelligence (MII) systems in a multi-site manufacturing environment. Provide L2/L3 plant-floor application support, troubleshoot integration issues between SAP ME/MII and ERP modules (PP, EWM, QM, PM), and coordinate with cross-functional teams on system upgrades and lifecycle management.…See more Conduct gap analysis, evaluate MES solutions, lead implementation efforts, and ensure service delivery compliance with ITIL processes and SLAs.

As Manager, Data Operations, AI and Automation at Measurabl, you will lead end-to-end utility data quality operations for a commercial real estate ESG platform, owning quality standards, customer data health monitoring, and incident resolution. You will design and deploy AI-driven automation (agents, scripts, workflows) to resolve routine data quality issues at scale, eliminating manual work rather than staffing it.…See more You will manage offshore and vendor teams while serving as the technical escalation point for high-impact data quality issues, ensuring customer data meets audit and regulatory standards. Success is measured on team outcomes and automation effectiveness, not personal task routing.