Top Ruby Jobs in Houston, TX

The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Own reliability, automation, and DevOps for Coinbase's corporate IAM platform: on-call/incident response, CI/CD and IaC pipelines, identity lifecycle tooling, observability and disaster recovery, documentation, and cross-team IAM advisement to ensure secure, scalable access for a global workforce.

Build and maintain developer platform tooling, automation, CI/CD, and Go-based CLI to improve developer productivity, reliability, and scalability for Huntresssecurity products. Implement AI-enabled workflows, support deployments in Azure and containerized environments, and collaborate with product teams to optimize architecture and operations.

Lead front-end technical strategy for Coinbase Advanced trading platform: define and execute a scalable roadmap, deliver a low-latency interface across web and mobile, mentor engineers, anchor complex projects, and ensure high standards for code quality and system design.

As a Lead Infrastructure Engineer, you'll enhance database reliability, automate infrastructure, collaborate on initiatives, and participate in on-call duties.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

Lead design and delivery of backend-focused full-stack features for the Business Platform. Build APIs, data models, and reliable parsers, ensure secure resilient systems, mentor engineers, drive estimates and quality, collaborate with Growth on data-driven features, and integrate AI tooling into development workflows.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

The Senior QA Engineer will develop and maintain automation frameworks, write test cases, and ensure software quality while collaborating with various teams. Key responsibilities include managing testing lifecycles and participating in system design discussions.

As a Software Engineer, you'll develop software using Ruby, Javascript, and support AWS infrastructure. Responsibilities include maintaining and building applications, contributing to high-end software releases, and mentoring other engineers.

As a Senior Software Engineer, you will design and maintain systems, mentor team members, and improve both code quality and team practices.

Contribute to the development of the authentication and authorization platform, define AI workflows, improve identity layers, and mentor team members.

Design, build, and own backend services for prediction markets across market lifecycle: creation, trading, oracle resolution, settlement, and payouts. Build low-latency, high-throughput microservices and event-driven systems, drive reliability via SLOs and observability, lead incident response, set technical standards, and mentor engineers while partnering cross-functionally to deliver product and compliance-aligned roadmaps.

Design, build, and launch reliability engineering projects to scale production services. Improve scalability, observability, secrets/configuration management, canary-based deployments, and deployment safety. Partner with teams, support critical services, participate in on-call rotations, and promote reliability best practices.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Lead the Customer & Application team, manage engineers, coordinate development efforts, drive Agile processes, and mentor team members for continuous improvement.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

The Marketing Backend Developer will build and maintain backend services and APIs for marketing operations, ensuring reliable data flow and system integrations, with a focus on performance and scalability.

Lead design and scaling of content ingestion, metadata, and processing systems. Build reliable pipelines handling messy formats, collaborate with ML, security, and product teams, mentor engineers, and drive platform and AI/LLM integration for content workflows and quality.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.

Assist development teams with DevOps implementations, support cloud onboarding, troubleshoot infrastructure, and respond to customer queries.