Top DevOps Jobs in Houston, TX

Lead enterprise application engineering delivery and operations across front-office, back-office, and employee platforms. Ensure stability, scalability, security, and alignment to business outcomes while driving simplification, automation, AI-enabled practices, lifecycle management, governance, and stakeholder value realization. Build and develop a high-performing engineering organization.

Lead architecture, modernization, and development of Group Insurance applications. Modernize mainframe monoliths into Java microservices and micro-frontends on cloud, mentor distributed Agile teams, collaborate with enterprise architecture, product owners and infrastructure, and enable test automation and integrations. Approximately 10% domestic travel.

Lead ServiceNow implementations for enterprise customers: design, develop, integrate, and maintain scalable ServiceNow solutions (ITOM, Discovery, Service Mapping, AIOps). Build custom scripts and integrations, troubleshoot, participate in SCRUM, and work directly with customers to deliver projects on time.

Lead the architecture team and manage technology decisions while mentoring architects, driving methodology, and collaborating with stakeholders on software architecture improvements.

Lead and modernize QA strategy across cloud-native insurance connectivity platforms. Drive AI-assisted test generation, automation frameworks, performance and regression testing, release validation, quality metrics, and mentor QA leaders to improve release confidence and reliability.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Lead design and delivery of scalable Salesforce solutions, provide technical leadership on implementations and integrations, enforce development best practices, manage data modeling and migrations, optimize platform performance, collaborate with stakeholders, and mentor developers to ensure secure, maintainable Salesforce architecture.

Lead design, build, and deploy full-stack software for DoD/IC missions. Rapidly prototype MVPs, integrate systems and APIs, deliver high-performance frontends, collaborate with users, and deploy/test in secure operational environments.

Lead software engineers at Pariveda design and deliver enterprise applications, guiding junior staff and solving complex client challenges using various technologies in an agile environment.

The Senior Software Engineer will design, develop, and deliver enterprise-level applications, lead projects, and guide junior team members while utilizing diverse technologies to solve client challenges.

The Senior Salesforce Solution Architect leads the design and development of software applications, collaborating with stakeholders to optimize business operations and ensure application alignment with technical standards.

Lead and manage an engineering team to deliver AI-based services, providing technical guidance, coaching, and ensuring quality and delivery goals.

The Enterprise Data Architect, Lead designs and implements data integration solutions, collaborates with teams, and ensures seamless data pipelines while driving the data engineering team.

The Cloud Developer designs and builds cloud applications, implements features, manages deployments, and collaborates on innovative solutions to enhance cloud offerings.

Design and develop Data Plane features for SDN, debug software issues, collaborate with teams, and optimize performance in cloud architectures.

Lead a CI/CD/IDP engineering team to improve release velocity, security, and compliance. Own Secure SDLC, software supply chain controls, GitOps-driven pipelines, developer self-service, pipeline performance/FinOps, and alignment with audits (FedRAMP/SOC 2). Mentor engineers, set roadmap, and deliver audit-ready release processes at scale.

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.

The Senior Data Engineer will design and implement data architecture and pipelines, optimize data storage, and mentor other engineers, specifically in healthcare products.

The role involves supporting SharePoint architecture modernization, managing user roles, resolving site issues, and ensuring compliance with IT standards.

Build and ship lightweight internal full-stack tools end-to-end within small pods. Rapidly prototype, deploy, operate, and iterate tools using cloud platforms and AI-assisted development to improve team productivity and automate workflows.

Lead design, develop, and deploy ServiceNow solutions for federal projects. Build/customize modules (ITSM, ITOM, HRSD, App Engine, Service Portal), implement integrations, automate workflows, enforce security and governance, mentor developers, troubleshoot, and operate within Agile and DevOps practices.

Manage two Reporting/BI scrum teams delivering financial reporting for the CEM platform. Own delivery, people, and client relationships; provide technical SQL/BI leadership; drive AI-first tooling adoption; coordinate cross-functional alignment; hire and develop engineers across distributed locations.

Lead Experian Automotive's software engineering organization to define strategy, modernize architecture, and deliver scalable AI-enabled SaaS products. Oversee SDLC, cloud-native microservices, DevOps/CI-CD, engineering KPIs, budget/vendor management, and talent development while partnering with product, security, data, and sales to drive business-aligned technology transformation.

Hands-on technical leader and core individual contributor building cloud-native defense/intelligence software. Drive architecture, code reviews, feature delivery, and mentor a small Agile team while implementing DevOps, CI/CD, and robust AWS/EKS-based deployments.

Lead vision, strategy, and execution for unified platform engineering including CRM, contact center, DevOps, and MLOps. Oversee architecture, security, compliance (HIPAA, FedRAMP, NIST), vendor relationships, budgets, and talent development. Translate product needs into scalable, reliable platforms and report to CTO and executives while ensuring ethical, compliant AI/ML deployment.