Top Senior Software Engineer Jobs in Houston, TX

Design and deliver scalable software features across engineering, product, and business teams. Conduct code reviews, mentor peers, resolve complex application issues, and develop secure algorithms for distributed systems. Work with Java, GoLang, Spring, databases, AWS, Kubernetes, REST APIs, and identity technologies. Analyze large datasets to produce insights and reporting that improve software platforms.

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Own QA strategy and release quality for POS, back-office, and payments products. Build automated unit, integration, API, contract, and end-to-end tests; integrate testing into GitHub Actions; validate hardware, offline modes, payment flows, and upgrades; establish release gates and test environments; monitor quality metrics; reproduce merchant issues; and coach engineers on testable design and quality practices.

Leads a data engineering organization and enterprise modernization programs spanning data platforms, migration, integration, testing, cutover, and decommissioning. Defines data engineering strategy, oversees Snowflake, Databricks, AWS, Redshift, and S3 delivery, and establishes standards for pipelines, quality, governance, observability, security, and reliability. Manages people, program governance, dependencies, risks, executive communications, vendors, and cross-functional delivery across complex modernization initiatives.

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Leads development of secure, scalable Java full-stack software for a digital identity team. Designs, codes, tests, troubleshoots, and reviews production applications; improves resiliency and automation; promotes responsible AI-assisted engineering practices; and evaluates vendor and architectural solutions. Requires cloud-native experience with AWS and Kubernetes, REST API development, agile delivery, security, and CI/CD. Familiarity with IAM technologies and ForgeRock or Ping Identity is preferred.

Lead and support reliability, performance, and operational integrity of equities electronic trading systems. Provide hands-on DevOps/SRE production support for FIX connectivity, Linux troubleshooting, Grafana observability, Kafka on AWS, incident triage, root cause analysis, automation via Python and Bash, and cross-team collaboration including investigating C++ components.

Leads software engineering for equity derivatives risk management, designing, developing, troubleshooting, and reviewing secure Java applications. Builds resilient microservices, analyzes JVM and system performance, supports databases, messaging, cloud platforms, and full software development lifecycle tools. Drives automation, operational stability, and responsible adoption of AI-assisted engineering practices, including validation for security, correctness, and performance. Leads architectural evaluations with vendors and internal teams.

Develop and maintain automated UI and API test coverage, execute and analyze tests, perform exploratory and regression testing, investigate defects, and drive quality engineering improvements. Collaborate with software engineers and product managers on test strategies, contribute to technical designs, perform root cause analysis, and mentor junior engineers. The role also supports testing for performance, scale, security, and vulnerability concerns.

Leads full-stack software engineering for JPMorganChase’s Wholesale Credit Risk technology team. Designs, develops, tests, troubleshoots, and reviews secure production code; improves application resilience and operational stability; promotes responsible AI-assisted engineering practices; automates recurring remediation; and evaluates architectures and technologies with vendors and internal teams. The role requires cloud-native development, agile SDLC expertise, financial services knowledge, data architecture, modern front-end technologies, GraphQL, and API development.

Develop and maintain full-stack web applications across frontend and backend systems. Responsibilities include feature delivery, code reviews, debugging, performance optimization, scalable architecture, API and database integration, documentation, and collaboration with product and QA teams. The role uses modern frontend frameworks, backend technologies, cloud services, and relational databases while supporting industrial and energy-sector applications.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Leads delivery of complex software features for desktop utility design tools, translating ambiguous requirements into technical plans and managing performance, correctness, and reliability. Establishes architecture, coding standards, CI/CD and AI-assisted development practices; mentors engineers and leads design and code reviews. Partners with product, QA, delivery, and customers to create reusable solutions, contribute to roadmaps, and represent the team in architecture discussions.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Lead software engineer responsible for designing, developing, troubleshooting, testing, and supporting secure, high-quality backend and UI applications. The role develops Java and Spring Boot systems, APIs, data pipelines, cloud infrastructure, and containerized applications using AWS, Kubernetes, messaging platforms, and observability tools. Responsibilities include code reviews, technical decision-making, Agile collaboration, mentorship, candidate interviewing, production support automation, and guidance on architecture and design patterns.

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Develop and scale backend Java and Kotlin software powering patch discovery, packaging, and deployment across millions of endpoints. Design scalable systems, APIs, data structures, caching solutions, and relational databases while maintaining high testing and code-quality standards. Collaborate with AI workflow, server, platform, design, and product teams. Occasional React or Angular work may support patching workflows and dashboards.

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Develop and operate a large-scale internal cloud management platform. Build APIs, UIs, CI/CD pipelines, and developer productivity tools using Go and TypeScript. Maintain Temporal and Argo Workflows pipelines, integrate development tooling, improve SDLC efficiency, support SOC 2 compliance, and collaborate with engineering, security, infrastructure, and SRE teams. Participate in on-call operations and apply AI technologies to improve workflows and decision-making.

Develop and maintain C#/.NET software for electric and gas distribution engineering tools. Implement features, fixes, integrations, tests, and CI/CD automation while configuring enterprise systems for customer needs. Collaborate in Scrum, participate in reviews, reduce technical debt, document processes, and mentor teammates. The role may involve GIS or Enterprise Asset Management integrations and requires strong software development experience in utility or energy infrastructure environments.

Build and scale full-stack software for employer and Employee Assistance Program products, including employer portals, patient and provider workflows, eligibility, authorization, and billing. Lead technical projects, design secure distributed systems, mentor engineers, contribute to engineering culture, and use modern technologies and AI-assisted development tools. Collaborate cross-functionally to expand access to mental healthcare.

Build and ship web-based transportation management software for trucking customers. Collaborate with product, UX, and engineering teammates to understand user workflows, solve domain problems, deliver features rapidly, and maintain an effective balance between quality and velocity. The role requires proactive ownership, strong communication, frequent collaboration, and willingness to learn the trucking industry and engage with customers.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.