Top Software Engineer Jobs

Maintains, troubleshoots, enhances, and modernizes legacy enterprise applications. Develops software using .NET, C#, AWS, JavaScript, and related technologies; supports CI/CD, debugging, security upgrades, and operational sustainment. Advises clients on improving existing systems while collaborating across teams and applying agile SDLC practices.

Designs, develops, tests, monitors, and implements resilient full-stack software using Java and React or Vue. Contributes to architecture, technical strategy, prototypes, roadmaps, CI/CD, and complex troubleshooting. Collaborates with product and engineering teams, estimates work, documents processes, and mentors junior engineers. Requires LDAP integration experience and the ability to guide technical development and continuous improvement.

Lead the architecture and operation of backend financial systems, including double-entry ledgers, account models, reconciliation, transaction processing, and reporting. Own money-critical production systems, scalable relational data operations, observability, migrations, incident response, and safe deployments. Provide technical leadership through design reviews, cross-system projects, coaching, and architectural guidance while collaborating with operations and cross-functional partners.

Lead the architecture, development, troubleshooting, and performance optimization of highly available Java backend systems. Design microservices and event-driven architectures, manage GCP and Kubernetes workloads, implement security and resilience practices, automate infrastructure with Terraform and Helm, and establish observability. Mentor engineering teams, guide technical decisions, and partner with product, platform, and security stakeholders. This is an onsite role in Springfield, Missouri.

Develop and lead software solutions for web-based applications supporting intelligence-community data management. Responsibilities include data ingestion and characterization, metadata and schema analysis, analytic development, machine learning, database queries, software process selection, technical leadership, requirements analysis, and quality control. The role requires collaboration with customers, systems engineers, development teams, stakeholders, and leadership while supporting structured and unstructured data processing.

Leads full-lifecycle development of mission-critical cloud applications and large-scale distributed systems. Responsibilities include requirements analysis, object-oriented system design, full-stack development, integration, testing, CI/CD, production deployment, system enhancement, technical documentation, and collaboration with data scientists, engineers, and product managers. The role involves NoSQL and massively parallel architectures, with desired expertise in Neo4j, Java microservices, graph analytics, cloud scalability, advanced analytics, and complex data modeling.

Design, build, test, deploy, and operate secure, scalable cloud-native applications and services. Own technical initiatives from architecture through production, make architecture decisions, improve reliability and developer productivity, and investigate incidents. Use AI-assisted development tools responsibly, lead technical discussions, conduct code and design reviews, mentor engineers, reduce technical debt, and collaborate with product, UX, quality, security, and engineering teams.

Lead the architecture, design, implementation, and evolution of core C++ frameworks supporting Torc’s autonomous driving stack. Drive technical direction for real-time systems, communication, state management, testing, observability, and validation. Collaborate with Behavior and Perception teams, lead architecture and code reviews, mentor engineers, resolve platform-level issues, and establish scalable software engineering standards for reliable autonomous vehicle operations.

Designs, develops, tests, deploys, maintains, and troubleshoots complex software systems for government clients. Leads software development teams, translates customer requirements into specifications, integrates middleware and signal repositories, and manages system and subsystem-level design, documentation, quality assurance, and regression testing. Requires extensive Java, C++, XML/XSD, scripting, web framework, Linux/Unix, Docker, and software leadership experience, along with TS/SCI clearance with polygraph.

Develops and validates autonomous driving software for perception, localization, planning, prediction, or control. Responsibilities include implementing production software, analyzing driving data, building ML training pipelines, evaluating systems through simulation, researching autonomous driving algorithms, and supporting vehicle tests. The role collaborates with Isuzu teams, external partners, and research institutions, with potential focus on embedded deployment, machine learning, sensor fusion, vehicle dynamics, or real-time control.

Develops and validates autonomous driving software across perception, localization, planning, prediction, and control modules. Responsibilities include software implementation, ML data pipeline development, driving log analysis, simulation and emulation, vehicle testing, algorithm research, and collaboration with Isuzu teams, partners, and research institutions. The role requires Python and C++, machine learning frameworks, robotic middleware, embedded deployment, real-time validation, and familiarity with automotive systems, CAN, functional safety, and autonomous driving architectures.

Nine-week technology internship for undergraduate or specialized master’s students. Interns receive engineering mentorship, participate in Agile projects, develop creative technical solutions, and own a project that delivers business value. Responsibilities include presenting project outcomes to stakeholders and gaining exposure to financial services technology. Candidates should have application development, automated testing, version control, and familiarity with DevOps, databases, server infrastructure, or cybersecurity.

Develops, tests, maintains, and enhances complex software systems for federal government customers. Responsibilities include requirements analysis, software design, debugging, database interaction, system integration, algorithm development, technical documentation, quality control, and collaboration with systems and hardware engineers. The role also supports Agile/Scrum coordination, process improvements, and small-team leadership.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Build and maintain Go-based backend services, streaming data pipelines, reporting platforms, APIs, and financial data flows. Design event schemas, data models, warehouse tables, reconciliation processes, and scalable distributed systems. Contribute to cloud infrastructure, CI/CD, testing, and developer tooling while migrating legacy reporting architecture. Collaborate across international teams, own features through production, support live event operations, use AI-assisted development tools, and mentor junior engineers.

Lead a team of software developers while remaining hands-on with C#/.NET development, architecture, coding, code reviews, and complex problem resolution. Guide technical decisions, mentor engineers, improve engineering standards and CI/CD practices, and deliver scalable, secure, reliable SaaS features. Collaborate with distributed Product and Engineering teams, contribute to system design, and help build a growing U.S. engineering organization.

Design, develop, maintain, and test software for fiber-optic communication systems. Build secure RESTful and OpenConfig API services, diagnose defects and vulnerabilities, simulate system behavior, and collaborate with engineering teams to improve reliability and functionality.

Develop, test, deploy, and maintain enterprise Java applications. Conduct code reviews, optimize application performance, support architecture and project planning, mentor developers, and collaborate across development teams to deliver quality software. The role requires extensive full-stack Java experience with Spring, REST services, microservices, databases, version control, CI/CD, and Agile practices.

Build and launch full-stack product experiences for Nunchux Modelverse, including the model catalog, Playground, dashboard, API, SDK, documentation, frontend, backend, database, and deployment. Use product data and developer feedback to improve onboarding and generative AI workflows, instrument key user flows, debug developer issues, and rapidly prototype new tools. Collaborate closely with founders, designers, and customer-facing teams to ship reliable releases and technical content.

Create reinforcement learning environments and golden reference solutions for AI software-engineering tasks. Develop code samples, debug complex defects, implement features, refactor legacy systems, optimize performance, document technical reasoning, and review peer submissions. Work may involve Python, Java, Rust, Go, C++, or TypeScript. The role is remote, part-time contract work with output-based compensation and rapid onboarding.

Lead architecture, design, and implementation of scalable MyAccount web and platform capabilities. Drive technical strategy across teams, develop applications and APIs, improve reliability, performance, observability, and security, and ensure robust automated testing. Mentor engineers, influence architectural decisions, connect technical initiatives to business goals, and maintain operational ownership of customer-facing systems.

Build and operate full-stack security products using React, TypeScript, Python or Node.js, relational databases, cloud infrastructure, and AI-native workflows. Own features end to end, including APIs, schema design, secure coding, deployment, monitoring, CI/CD, and production support. Collaborate with security researchers and product stakeholders, contribute to architecture and technical direction, and automate internal security workflows.

Design, build, and operate production software for a cloud infrastructure platform. Own projects from initial design through release and live operation, troubleshoot complex systems at a low level, inspect servers and logs, diagnose external libraries, and engage directly with users on technical decisions. Work independently in short development cycles while contributing to infrastructure strategy and product judgment.

Own the technical delivery of reliable, scalable software across backend services and applications. Architect high-throughput systems, handle large datasets, launch and refine applications, and contribute to technical direction and engineering practices. The role requires pragmatic execution in a fast-paced, ambiguous environment, collaboration with peers, and participation in recruiting activities including sourcing, interviewing, and making offers.

Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.