Top Software Engineer Jobs

Develop, test, support, and troubleshoot production software for a TLD registry platform. Collaborate with experienced engineers to build scalable, reliable solutions using cloud technologies, databases, web applications, services, and background systems. Participate throughout the software development lifecycle, provide on-call support, identify root causes, and improve system performance and maintainability while supporting global business operations.

Develop, test, deploy, and support Java applications and services for Mastercard’s distributed fraud decisioning platform. Responsibilities include translating requirements into maintainable software, designing high-performance distributed systems, writing automated tests, applying secure coding practices, optimizing performance, troubleshooting production issues, and contributing to monitoring, observability, Agile delivery, code reviews, and operational readiness.

Architects and develops systems software for emerging memory and storage technologies, with emphasis on AI inference stacks and heterogeneous computing. Responsibilities include Linux application and library development, emulator creation, system-level debugging, accelerator programming, performance evaluation, technical leadership, cross-functional collaboration, mentoring, and presenting technical findings. The role requires expertise across AI frameworks, inference engines, operating systems, kernels, hardware interfaces, memory hierarchies, and distributed serving systems.

Build and improve ServiceNow’s database provisioning and operations tools for RaptorDB, PostgreSQL, and MariaDB at large scale. Develop reliable, tested software; automate configuration, monitoring, and remediation; investigate production incidents; and support backup, restore, and performance troubleshooting. Collaborate with distributed operations and engineering teams, participate in design and code reviews, and contribute to documentation and runbooks.

Develop and maintain full-stack web applications for real-time querying and analysis of petabyte-scale data. Build distributed analytics and transform data science workflows into analyst-friendly applications. Collaborate with data scientists, geospatial and all-source analysts, and cybersecurity teams while supporting a private cloud and big data environment. The role requires full ownership of the software development lifecycle and full-time onsite work in Springfield, Virginia.

Leads technical design, development, support, maintenance, and continuous improvement of enterprise Java applications using Oracle databases, SQL, and ETL processes. Serves as the application subject matter expert, monitors performance with Dynatrace, resolves complex production issues, performs root cause analysis, and partners with development, infrastructure, security, and business teams to ensure application stability, scalability, and availability.

Design, develop, and maintain software systems for autonomous driving evaluation workflows. Collaborate across teams, improve infrastructure, and mentor engineers.

Own product features end-to-end across web app, GraphQL API, and embeddable components. Design schemas and APIs, build backend and frontend, write tests, monitor real-user behavior, and ship weekly. Establish shared component library, design system, and testing patterns. Optimize performance and leverage AI tooling to accelerate engineering and product collaboration.

Full-stack engineer responsible for end-to-end product development from ideation to launch. Build and ship web and mobile apps, prioritize product quality and speed, collaborate with founders and engineering team, and work in-person at the NYC office using a TypeScript/React/Node.js/Postgres stack.

Develop and improve Dimagi’s CommCare platform through full-stack software engineering. Responsibilities include building features, writing automated tests, participating in code reviews and agile processes, supporting continuous integration and deployments, and collaborating with international development and implementation teams. The role focuses on creating accessible software for frontline workers in challenging environments and may include data engineering and AI-assisted coding work.

Develops, tests, troubleshoots, and maintains secure, stable, and scalable software components in a Linux C/C++ environment. Responsibilities include system design, application development, technical problem-solving, SDLC execution, automation, CI/CD, resiliency, security, and responsible use of AI-assisted development tools. The engineer collaborates within an agile team and analyzes data to support reliable application development.

Build and ship end-to-end features across React frontends and TypeScript/Node.js backends, including data models, APIs, interfaces, migrations, and tests. Collaborate in design and code reviews, use AI coding agents responsibly, and handle protected health information with authentication, authorization, and audit logging. The role offers mentorship, increasing ownership, and a path from Associate Software Engineer through senior technical levels.

Develops, tests, deploys, monitors, and supports secure, scalable enterprise applications using Java, modern frontend frameworks, AWS, and cloud-native technologies. Responsibilities include requirements analysis, software design, code reviews, automated testing, performance optimization, security remediation, production troubleshooting, observability, and reliability improvements. Collaborates with product owners, business partners, and engineering teams while following enterprise architecture, compliance, and software development standards.

Designs and delivers secure, scalable full-stack Java solutions for commercial and investment banking use cases. Responsibilities include maintaining master data models, building ingestion and distribution pipelines, developing APIs, creating CI/CD and ML deployment pipelines, implementing AWS infrastructure as code, contributing to knowledge graphs, and producing architecture and design artifacts. The role also requires collaboration across data platform teams and responsible use of AI-assisted development tools.

Develop software for clinical brain-computer interface applications, including BCI data curation, neural decoding algorithms, simulated and real-data evaluation, hardware-in-the-loop testing, code reviews, and feature development. Collaborate with engineering, neuroscience, machine learning, and quality teams to define requirements and support clinical studies. Regular travel between Austin and Oakland offices is required.

Develops and deploys end-to-end software solutions for government customers, including system design, prototyping, application development, data integration, and cloud-based deployments. Collaborates with technical and nontechnical stakeholders, rapidly iterates based on user feedback, and solves complex operational problems using Palantir platforms and modern technologies. Requires or supports obtaining a Top Secret security clearance and willingness to travel as needed.

Plans, designs, develops, tests, integrates, and supports software applications and critical components. Leads architecture reviews, proof-of-concept projects, technical designs, troubleshooting, debugging, incident resolution, and customer-facing technical support. Provides guidance on coding standards and system issues while deploying software patches, analyzing network protocols, and managing defects in gaming communication environments.

Develop, test, integrate, troubleshoot, and architect software components and gaming applications. Resolve customer and employee technical issues, provide system support, improve procedures, research technologies, and ensure software quality. Collaborate with engineers on architecture and coding standards, mentor team members, and review technical work. The role also requires expertise in Microsoft BI, SQL Server, Tableau, ETL, data warehousing, .NET, C#, RabbitMQ, and NGINX.

Develops, tests, troubleshoots, and maintains secure, scalable Python software within an AI/ML data platform. Responsibilities include system design, observability, SLI/SLO monitoring, telemetry, resilient application development, data analysis, SDLC execution, and agile collaboration. The role also applies responsible AI practices and may support Spark data pipelines, AWS and Databricks administration, and Docker/Kubernetes orchestration.

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

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

Build and deploy software solutions for U.S. government customers using data to solve complex operational problems. Responsibilities include architecture, large-scale data processing, custom web application development, customer collaboration, executive communication, and end-to-end project ownership. The role requires independent decision-making, rapid learning, teamwork, and an active Secret-level-or-higher U.S. security clearance. Travel may be required, often to work with customers onsite.

Design and develop scalable, concurrent C++ software for HPE’s enterprise storage platform in Linux environments. Responsibilities include building storage services and distributed systems features, debugging performance and reliability issues, developing automated tests, participating in architecture and code reviews, integrating technologies, and mentoring engineers.

Develop, debug, integrate, and test software and complex software/hardware systems for intelligence and defense customers. Work with Java, AI/ML services, software design, and agile multidisciplinary teams. Support requirements and regression testing, product demonstrations, software installation, and system testing, with possible business travel. Participate in a structured first-year engineering development and mentorship program.

Develop, deploy, and support proprietary trading applications for human and algorithmic derivatives traders. Collaborate with engineers, traders, and quants to design systems, add features to C# infrastructure, understand the full trading pipeline, and provide real-time support and bug fixes for live trading applications.