Top DevOps Jobs in Orlando, FL

Build and operate scalable, reliable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Responsibilities include managing EKS platforms, improving deployment pipelines, securing networking and IAM, enhancing observability, optimizing cloud costs, implementing disaster recovery, reducing operational toil, and modernizing legacy infrastructure. The role also leads incident response, reliability initiatives, platform adoption, and cross-team infrastructure projects.

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.

Develop and maintain DevOps automation, CI/CD pipelines, virtualized and containerized environments, hybrid cloud infrastructure, monitoring, and deployment processes for DoD cybersecurity applications. Write and manage automation scripts, support software integration and testing, troubleshoot technical systems, maintain configuration-controlled work products, and improve deployment reliability and performance. The role also supports developers and engineers, evaluates new technologies, and requires Secret clearance with eligibility for Top Secret.

The DevOps Engineer will manage build and deployment automation, improve platform health, and develop self-service tools while ensuring robust DevOps practices with AWS.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

The DevOps Engineer will architect and automate cloud infrastructure with Terraform, oversee reliability, monitoring, and performance, support AI/ML environments, and implement security and compliance controls for SOC2 and PCI DSS. The role also involves developing internal tools, managing AI integrations, and supporting a PHP/Laravel platform. Candidates need at least three years of DevOps or SRE experience, infrastructure-as-code expertise, coding ability, database experience, and familiarity with AI/ML workloads.

Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Designs, optimizes, and sustains AWS cloud environments for Marine Corps Systems Command. Responsibilities include infrastructure-as-code automation, cloud networking, troubleshooting, CI/CD, monitoring, containerization, security compliance, documentation, and risk mitigation under federal standards. The engineer collaborates with technical stakeholders, leads automation initiatives, mentors junior engineers, and supports secure, highly available hybrid-cloud environments.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

Design, build, and maintain highly available AWS GovCloud infrastructure supporting FedRAMP environments. Manage ECS scaling, RDS PostgreSQL performance and failover, infrastructure as code, disaster recovery, monitoring, alerting, CI/CD automation, incident response, troubleshooting, and post-mortems. Collaborate with engineering teams to improve system reliability, security, and performance.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Build and manage cloud infrastructure for customers using the DuploCloud platform. Responsibilities include containerizing applications, deploying Kubernetes or ECS environments, implementing logging, monitoring, alerting, cloud security, and compliance controls, and supporting SOC 2, PCI, HIPAA, GDPR, and HITRUST audits. The role involves customer onboarding, infrastructure transformation, troubleshooting, technical guidance, direct customer communication, and rotating weekend and holiday on-call coverage.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Maintain, scale, and improve SaaS production platforms with a focus on automation, observability, disaster recovery, and 99.999% availability. Lead incident response, perform root cause analysis, optimize performance, and collaborate with engineering teams to implement durable operational improvements.

The DevOps Engineer supports software development teams across development platforms, compilation, deployment, monitoring, and the SDLC. Responsibilities include managing deployments, creating release structures, maintaining CI/CD processes, facilitating development and infrastructure team communication, researching new technologies, developing proofs of concept, and documenting systems and processes. The role requires enterprise IT engineering experience, systems administration knowledge, monitoring expertise, and familiarity with automation, containers, testing, and version control.

Build and maintain automated infrastructure and CI/CD pipelines using Terraform, Docker, Traefik, and Makefile. Implement observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry), backups (pgBackRest/Postgres15), and cloud/Linux administration. Automate deployment and monitoring for AI agent services and support monorepo workflow with SRE and DevSecOps teams.

Designs and maintains Azure CI/CD pipelines, integrates testing and security controls, automates infrastructure with IaC tools, and develops deployment scripts. Monitors and troubleshoots DevOps infrastructure using Azure monitoring and logging solutions to ensure availability, scalability, and efficient deployments. Collaborates with development, testing, and stakeholder teams while applying DevSecOps, risk management, and compliance practices.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

Design and evaluate cloud infrastructure, Kubernetes, IaC, AWS, and CI/CD solutions for GenAI training and inference environments. Create technical scenarios, reference solutions, evaluation rubrics, and feedback for AI-generated infrastructure outputs. Troubleshoot production Kubernetes and distributed-system failures while applying cloud architecture, security, reliability, observability, and operational best practices.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

Build, operate, and improve cloud infrastructure for FedRAMP-authorized environments, including AWS GovCloud, Kubernetes, Terraform, Ansible, CI/CD, observability, and security automation. Investigate production incidents, remediate vulnerabilities, support compliance and audits, and improve reliability, scalability, and monitoring. Collaborate with engineering, security, compliance, and international teams while making independent architectural and operational decisions.