Top Hybrid Software Engineer Jobs in Houston, TX

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Leads software engineering work within an agile team, designing, developing, testing, troubleshooting, and supporting secure, scalable backend applications. Builds microservices, reviews production code, improves application resilience, automates recurring remediation, and evaluates architectural solutions with vendors and internal teams. Promotes responsible AI-assisted development, secure coding, automated testing, and reuse of engineering practices while mentoring teams and driving technical outcomes.

Build scalable software and infrastructure for quantitative investment and trading systems. Responsibilities may include distributed storage, cloud environments, mission-critical reliability, model testing and deployment, low-latency trade execution, large-scale data ingestion, and internal productivity tools. Candidates should have a technical or quantitative degree, strong programming skills, large-scale systems experience, analytical ability, and passion for quality software.

Participates in a structured .NET training program before developing software features with a team. Responsibilities include writing standards-compliant code, testing and debugging applications, learning product architecture and software patterns, responding to support escalations, incorporating feedback, and contributing to Agile team meetings. The role is designed for early-career developers seeking growth in software development.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Translate business requirements into technical designs, build and review code, manage complex projects, troubleshoot deployments, and advise customers and internal teams on integration best practices. Collaborate with product, sales, support, and developer ecosystem teams while supporting multiple customer engagements and improving professional services methodologies.

Design, configure, and enhance OpenLink trading and risk solutions for energy clients. Gather requirements, run workshops, produce solution designs, troubleshoot issues, support testing and go-live, and deliver client-facing documentation and implementation plans.

Develop and maintain advanced pipeline simulation software for hydraulic modeling, leak detection, transient flow, and computational fluid dynamics. Responsibilities include requirements analysis, software design, C#, Python, and SQL development, numerical algorithm optimization, model validation, testing, project planning, and technical leadership. The role collaborates with software, QA, product, and customer-focused teams to deliver scalable and reliable engineering applications.

Design and develop scalable Java backend services for Conga’s cloud-native, microservices-based real-time pricing platform. Build distributed, event-driven capabilities using Cassandra, Redis, Azure, and related technologies. Contribute to architecture, testing, deployments, troubleshooting, documentation, and engineering process improvements. Collaborate with product, architecture, DevOps, and international engineering teams while mentoring junior engineers and promoting clean code, resiliency, performance, and operational reliability.

Lead the design, development, deployment, governance, and support of enterprise ServiceNow solutions. Drive technical strategy, DevOps workflows, architecture, automation, testing, upgrades, and platform improvements across global business sectors. Build generative and agentic AI capabilities using ServiceNow tools, integrations, workflows, and governance controls. Partner with architects, functional teams, customers, vendors, and executives to deliver secure, scalable solutions and resolve complex technical issues.

Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.