Top Software Engineer Jobs in Houston, TX

Design, implement, maintain, test, and assess flight software for spacecraft. Integrate software with hardware, develop unit and integration tests, evaluate I/O performance, and coordinate high-level feature testing. The role requires C/C++ development, communications protocol knowledge, strong software quality practices, and collaboration with hardware engineering teams in a fast-paced spaceflight environment.

Design, implement, maintain, and improve flight software for spacecraft systems. Integrate and assess hardware and software performance, interface with hardware development teams, and create unit and integration tests. The role requires strong C/C++ development and hardware/software integration experience, familiarity with serial and packetized communications protocols, disciplined software testing practices, communication skills, problem-solving ability, and a passion for spaceflight. Experience with the GSFC Core Flight Software framework is preferred.

Develop and test real-time flight software for positioning, navigation, and timing systems supporting lunar relay satellites. Integrate navigation sensors and software in software- and hardware-in-the-loop environments, develop high-fidelity simulation and testing capabilities, model spacecraft dynamics and sensors, and collaborate with multidisciplinary teams on flight and ground support software through testing and on-orbit operations.

Lead frontend development for Coinbase identity experiences including login, signup, OAuth, account security, and multi-factor authentication. Own projects from design through deployment and monitoring, guide Native versus Webview architecture, author technical designs, resolve systemic technical debt, lead on-call and incident response, and mentor engineers.

Design, implement, maintain, and test flight software for lunar spacecraft and data network systems. The role involves hardware/software integration, I/O performance analysis, serial and packetized communications, unit and integration testing, and collaboration with hardware engineering teams. Engineers will support high-quality software development in a fast-paced spaceflight environment, with preferred experience in CFS, device drivers, SpaceWire, testing frameworks, operating systems, Docker, Agile/Scrum, and Gitflow.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

Lead architecture and delivery of complex web and mobile product initiatives. Build React and React Native applications, scalable components, APIs, data models, and shared libraries. Establish engineering standards, improve testing, performance, security, and reliability, and optimize database queries. Mentor engineers, guide technical decisions, and partner with leadership and stakeholders to shape the product roadmap. This is a fully remote role supporting veterinary clinic operations and supply-chain workflows.

Build and maintain features across Vetcove’s web, backend, and mobile platforms. Responsibilities include developing React and React Native applications, creating reusable components, improving test coverage, designing performant and secure data models, optimizing database queries, writing API endpoints, and collaborating with engineering, product, and company leadership in a fully remote environment.

Develop and scale cloud-based media encoding pipelines supporting workflow orchestration, metadata publishing, task prioritization, and catalog management. Design distributed systems, write high-quality Java code, build automated tests, collaborate cross-functionally, and own projects from conception through production. The role supports streaming, advertising, broadcast television, video podcasts, and other media experiences.

Design, build, test, deploy, and maintain production software and services. Partner directly with customers and multidisciplinary teams to translate business needs into technical solutions. Apply secure coding, privacy, responsible AI, monitoring, and reliability practices. Participate in incident response and on-call support, conduct root-cause analysis, and create reusable engineering assets and documentation. The role may involve deploying AI or LLM-based solutions and traveling up to 25% of the time.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Lead and deliver secure, scalable cloud-native software solutions; write and review code; drive AI-assisted engineering adoption; evaluate vendors; promote operational stability and engineering best practices.

Lead Software Engineer who designs, builds, and maintains Python services and data/AI pipelines; writes and optimizes SQL; triages and debugs production incidents; develops LLM-powered workflows and agentic systems; implements observability (logging, metrics, traces, alerts); drives adoption of enterprise AI-assisted engineering practices and SDLC automation; and documents system behavior and support procedures.

Develops, configures, deploys, and supports secure, reliable, scalable production software. Collaborates with UX, engineering, product management, and agile teams; writes code and scripts for infrastructure automation, monitoring, testing, and resiliency; configures commercial solutions; and creates dashboards, logging, and alerting. The role also contributes to quality standards, change control, root-cause analysis, and continuous professional learning.

Build and operate internal software, platform services, developer tooling, Kubernetes infrastructure, and reproducible Nix environments. Develop Go and Rust automation, improve CI/CD and reliability, support Linux systems, networking, identity, endpoints, and SaaS platforms, and resolve ambiguous technical problems independently. Partner across engineering, security, operations, and business teams while mentoring engineers and shaping technical direction.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Lead an agile engineering team to design, build, test, and operate secure, scalable production systems. Drive adoption and governance of AI-assisted development (prompting, agentic engineering) within the SDLC, provide technical guidance, review code, and ensure responsible AI practices and operational stability in trading and risk engineering contexts.

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

Build and operate multicloud Kubernetes infrastructure and platform capabilities, including cloud foundations, networking, identity, cluster lifecycle, disconnected deployments, packaging, GitOps delivery, infrastructure as code, observability, upgrades, and incident response. Partner with engineering teams to provide reusable self-service infrastructure primitives across commercial, government, secure, classified, and disconnected environments.