Top Remote DevOps Jobs in San Diego, CA

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Lead infrastructure and DevOps strategy, team development, cloud architecture, Infrastructure as Code, CI/CD, automation, reliability, scalability, cost optimization, and security for production SaaS applications. Manage AWS and GCP environments, establish Terraform and Ansible standards, implement deployment and rollback automation, apply AI to operational workflows, and improve observability, incident response, disaster recovery, and engineering productivity.

Support and evolve development, production, and non-production infrastructure. Maintain GitLab CI/CD pipelines, automate operational tasks with Python and Bash, manage cloud and virtualized environments, troubleshoot incidents, perform root cause analysis, support vulnerability remediation using Tenable Nessus and Wiz, and maintain technical documentation in Jira and Confluence.

Build and manage cloud infrastructure for an agentic AI platform. Responsibilities include maintaining Kubernetes clusters, automating provisioning with Terraform and Ansible, implementing CI/CD pipelines, building observability systems, and ensuring security, scalability, performance, and reliability for multi-tenant SaaS architecture.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Build and maintain cloud-native production platforms, automate infrastructure and deployment environments, and bridge application development with production teams. Responsibilities include validating implementations, independently solving technical problems, developing small components, estimating work, debugging systems, and promoting DevOps, DevSecOps, CI/CD, infrastructure-as-code, containerization, and security best practices. The role requires Kubernetes and cloud experience, programming and shell scripting knowledge, YAML proficiency, cross-functional collaboration, and U.S. citizenship.

Own and operate Orca’s FedRAMP environments across AWS, Azure, and GCP. Build infrastructure with Terraform, Kubernetes, Helm, and CI/CD; automate compliance validation, drift detection, evidence collection, and inventory management. Lead continuous monitoring, authorization artifacts, OSCAL transition, 3PAO assessments, and federal customer security engagements. Serve as the senior technical authority, maintain production health and incident response, and eventually build a U.S.-based infrastructure team while remaining hands-on.

Designs scalable, secure, and supportable technology solutions for customer implementations and enterprise initiatives. Translates business requirements into architectures spanning applications, integrations, infrastructure, cloud, data, and security. Leads solution design, technical decisions, implementation planning, cost estimation, stakeholder presentations, and risk mitigation. Develops architecture standards, governance processes, reference architectures, and reusable patterns while advising business and technology leaders on modernization and best practices.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Architect and operate scalable, secure SaaS infrastructure supporting a cyber-incident response platform. Build CI/CD pipelines, manage multi-cloud infrastructure with Terraform, operate Kubernetes environments, improve reliability and observability, and maintain data pipelines, data lakes, databases, secrets management, and deployment automation. Ensure high availability and operational resilience during active customer cyberattacks.

Lead technical engagements with hyperscaler customers, owning account strategy, solution design, validation, and delivery. Develop customer relationships, guide sales teams, provide product-development feedback, and manage RFIs, RFPs, demonstrations, proofs of concept, testing, network design, and simulation environments. Apply expertise in switching, routing, WAN, data center fabrics, and interconnect architectures while collaborating across Nokia teams and customer laboratories.

Develop scalable .NET software components in Azure and Windows environments. Responsibilities include designing core functionality, troubleshooting production issues, conducting code reviews, improving development standards, collaborating on requirements and testing, and coordinating vendor integrations. The role requires C#, .NET, front-end, SQL, ORM, REST API, and SFTP experience. Strong DevOps and Azure skills, distributed energy resource knowledge, and electric energy industry experience are preferred.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Design, build, and manage scalable AWS infrastructure; optimize GitHub-centric CI/CD; implement observability stacks; automate compliance for GovRAMP/FedRAMP and SOC2; author audit-ready documentation and runbooks; collaborate with engineering and security teams to ensure high availability and reliability.

Lead the 0-to-1 architecture, development, testing, and launch of Riverside Insights’ Reach platform and next-generation CogAT assessment. Build and manage a 6–10 engineer team, make build-versus-buy decisions, oversee AWS infrastructure and regulated-data compliance, lead customer migration, and translate product roadmaps into technical execution. The role is hands-on, requiring active coding, full-stack fluency, AI-native development, cross-functional partnership, and senior leadership communication.

Design, deploy, and maintain reliable production and corporate systems; manage configuration, security, and core infrastructure; participate in on-call incident response; build automation, CI/CD pipelines, and Infrastructure-as-Code; monitor systems and develop tools to improve reliability and availability.

Leads Salesforce administration, development, integrations, and multi-cloud roadmap delivery. Builds custom applications and Agentforce solutions, manages data hygiene and security, tracks platform KPIs, and oversees releases and deployments. Translates business requirements into scalable Salesforce solutions, leads multiple technical projects, identifies design risks, improves processes, and supports users. Requires advanced expertise in Apex, LWC, SOQL, AI, data modeling, Salesforce integrations, release management, Agile practices, and executive communication.

Designs and maintains DevSecOps infrastructure for AWS-hosted microservices and APIs. Builds CI/CD pipelines, containerized deployments, and Infrastructure as Code using Terraform, CDK, or CloudFormation. Develops monitoring, logging, and performance tools; supports security reviews, vulnerability management, and resilient systems. Requires strong AWS, EKS/Kubernetes, networking, scripting, programming, troubleshooting, Agile collaboration, and SRE skills.

Build and maintain Azure DevOps CI/CD pipelines, manage Octopus Deploy releases, configure Azure infrastructure, and develop C# code. Diagnose performance and production issues across applications, databases, pipelines, and infrastructure. Improve observability through logging, metrics, and alerting; conduct code reviews; troubleshoot complex problems; and collaborate with engineering and product teams to plan and deliver releases.

Lead the design, operation, and scaling of AWS cloud infrastructure and Kubernetes production environments for a fintech platform. Build infrastructure-as-code, CI/CD pipelines, observability, and deployment tooling while improving reliability, security, performance, and resilience. Partner on PostgreSQL administration, scaling, backups, and performance tuning. Participate in incident response, root-cause analysis, and operational standards development for sensitive financial workloads.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based IaC, and CI/CD pipelines. Integrates MLOps and DevSecOps practices, automates deployment and system administration, monitors performance and cost, supports incident response, and collaborates with engineering teams to improve platform architecture and reliability.

Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Leads software engineering strategy, modernization, architecture, governance, and delivery across the Digital Solutions Division. Oversees enterprise-scale cloud and SaaS platforms, Agile and DevOps practices, security, reliability, and technology transformation initiatives including AI adoption. Manages engineering teams through hiring, coaching, performance development, and organizational change. Partners with product, sales, marketing, infrastructure, security, operations, customers, and vendors while managing budgets, ROI analyses, and technology investments.

Serve as the senior software development SME while performing full-stack Java web development and O&M activities. Guide developer teams, prioritize work, coordinate technical meetings, resolve issues, optimize processes, analyze requirements, estimate effort, review code, conduct testing, troubleshoot environments, create technical documentation, and implement software updates. The role requires extensive J2EE experience, SPA development, DevOps and CI/CD expertise, and active Public Trust/MBI clearance supporting an IRS Criminal Investigation system.