Top Software Engineer Jobs

Develop and maintain software and algorithms for synthetic aperture radar, electro-optical, and remote-sensing capabilities. Convert algorithm prototypes into robust applications, collaborate with radar and research experts, participate across the software development lifecycle, troubleshoot issues, and improve image quality. The role involves learning remote-sensing technologies, writing tested code, and working onsite within a team environment.

Build and evolve scalable, near-real-time pricing and revenue management systems. Design distributed architectures using microservices, APIs, event streaming, hybrid databases, cloud-native Azure and Kubernetes technologies. Develop Python backend services, React interfaces, data pipelines, experimentation tools, and intelligent or agentic workflows. Partner with data scientists and analysts to productionize models, ensure reliability through testing and monitoring, lead design discussions, manage delivery risks, and mentor engineers.

Develop and maintain C# machine-control software for semiconductor manufacturing equipment. Integrate industrial communication protocols, PLCs, robotics, motion systems, lasers, data acquisition devices, and operator interfaces. Support automation state machines, system integration, debugging, testing, and validation. Collaborate with mechanical, electrical, and systems engineers while following control standards, safety practices, documentation, version control, and software quality processes.

The Software Engineer will design and develop product functionality, collaborate with teams, solve complex problems, and learn new technologies while participating in the product life cycle.

The role involves full-stack software development, adhering to Agile practices, and collaborating across teams. Responsibilities include coding, testing, and maintaining software systems while mentoring team members.

Develop and maintain Java plug-ins for Cameo Systems Modeler and MagicDraw, including SysML model and diagram generation. Build JSON parsers and schema-driven data models, integrate REST/HTTP APIs, and collaborate on AI-assisted engineering workflows. Diagnose issues across UI, parsing, APIs, and backend logic while improving validation, testing, and code quality across multiple repositories. The role supports defense and mission-critical systems engineering programs.

Develop and maintain Java plugins for Cameo Systems Modeler and MagicDraw, including SysML model and diagram generation. Build JSON parsers and schema-driven data models, integrate REST/HTTP APIs, and debug UI, parsing, backend, and API workflows. Collaborate with AI engineering teams to improve LLM-assisted engineering workflows, contribute to testing and validation, and coordinate iterative delivery across technical teams supporting mission-critical DoD programs.

Develop software and analytics capabilities for a Special Operations and Intelligence customer. Responsibilities include processing and searching petabytes of mission data, creating geo-temporal algorithms across trillions of records, developing analytics tools, and building web interfaces and APIs. The engineer collaborates with software and data engineers and supports mission-critical coding in a classified environment.

Develops and maintains software systems, graphical user interfaces, dashboards, AWS applications, automated workflows, and AI/ML integrations. Responsibilities include coding, testing, debugging, database querying, systems integration, documentation, performance optimization, and requirements analysis. The role collaborates with cross-functional teams and contributes to software design, Agile development, DevOps, and cloud infrastructure management.

Develop full-stack software for a mission-critical hybrid cloud big data and cybersecurity program. Responsibilities span the software development lifecycle, technology research, customized application development, business process automation, data analysis capabilities, RESTful services, cloud development, containerization, DevOps, identity integration, and collaboration with customers and engineering teams. This is an on-site role in San Antonio, Texas supporting classified systems.

Own quality assurance and auditing for multimodal data sourced from external vendors. Build scalable software tooling and infrastructure for sampling, review workflows, quality checks, audit trails, and vendor reporting. Define measurable data standards with researchers, manage vendor feedback loops, and improve data quality through instrumentation and iterative processes. The role also requires hands-on sample review, rubric development, cross-functional communication, and approximately five years of customer-facing software experience.

Develop and optimize Ray Data, a Python-native distributed data processing engine for AI workloads. Improve performance, scalability, data loading, stability, and fault tolerance across heterogeneous environments. Build production training data solutions and collaborate with customers and AI-native companies to scale large machine learning workloads.

Develop and maintain Java and Spring Boot software for astrodynamics and cloud-based applications. Build secure Kubernetes or Docker environments, CI/CD pipelines, and GitOps automation using AWS, GitLab, Ansible, Maven, and Gradle. Support legacy C++, Python, and Fortran systems, optimize scientific algorithms, manage databases and logging, and apply DevSecOps, testing, Agile, and monitoring practices. The role supports U.S. Space Force missions and requires astrodynamics expertise plus a Secret clearance.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Build full-stack applications for space mission systems, modernize legacy ground and flight software, and develop distributed cloud-native microservices. Support system integration, testing, simulation, interface validation, DevSecOps pipelines, automated testing, secure software practices, and mission-operator UI/UX. Collaborate with space systems engineers and operations teams while contributing to DoD and intelligence-community programs.

Develop and verify scalable bioinformatics software and pipelines for next-generation sequencing products. Build automated verification tests, accelerate algorithms with GPU hardware, and support software development lifecycle and Design Control processes. Collaborate with research, algorithm, and interdisciplinary teams to improve reliable software used in genomic research and disease diagnostics.

Design, develop, debug, test, integrate, and maintain complex software systems. Analyze requirements, develop algorithms and database interfaces, resolve software issues, improve development standards, and coordinate installations. Collaborate with systems and hardware engineers on requirements, interfaces, performance, and design trade-offs. Lead or oversee software development teams while ensuring compliance with project processes and quality standards.

Design, develop, and scale backend systems supporting vehicle data management, simulations, analytics, and software management. Build APIs, microservices, data pipelines, and cloud infrastructure; optimize performance, databases, scalability, and reliability. Implement testing, debugging, security, documentation, and infrastructure as code. Collaborate with embedded systems engineers, data scientists, and front-end developers to deliver robust software solutions.

Lead frontend architecture and development for customer-facing vehicle purchasing experiences, including configuration, trade-in, financing, leasing, and delivery. Build performant, accessible interfaces; guide component libraries, design systems, rendering strategies, and API integrations. Drive technical initiatives through design documents and reviews, improve frontend performance and resilience, collaborate with product and design, mentor engineers, and establish scalable engineering standards.

Lead design and development of scalable Java-based enterprise applications. Drive architecture, mentor engineers, deliver features, optimize performance, troubleshoot defects, and advance cloud, microservices, and DevOps modernization.

Develop and maintain scalable trading applications, optimizing latency and performance for trading operations across financial markets.

Develop and maintain mission-critical software for CNMOC through the full SDLC, including architecture, coding, testing, debugging, deployment, and maintenance. Build data pipelines and integrations, translate customer needs into sprint deliverables, resolve technical challenges, mentor developers, and communicate solutions to technical leadership. The role requires Python, data engineering, databases, AWS, containers, DevSecOps, geospatial platforms, Agile practices, and an active Secret clearance.

Develop, modernize, operate, and maintain mission-critical software services for CNMOC. Responsibilities include full software lifecycle work, architecture, coding, testing, debugging, ETL/ELT pipeline development, translating customer needs into sprint deliverables, mentoring developers, leading demonstrations, and resolving technical challenges. The role requires Python, data engineering, databases, AWS, containers, Agile practices, geospatial integrations, cybersecurity, and active Secret clearance.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Develop and enhance application features, services, and APIs for a predictive maintenance and CMMS platform. Responsibilities include improving application quality, performance, security, stability, scalability, and reliability; designing server-side logic, APIs, and database schemas; implementing state management; and adopting relevant technologies and development best practices.