Top Software Engineer Jobs

Design, develop, test, and support scalable full-stack applications and cloud-native microservices using .NET, Angular, AWS, SQL, and NoSQL technologies. Build APIs, data integrations, ETL pipelines, and CI/CD solutions while improving system performance, reliability, and scalability. Collaborate with product, architecture, and engineering teams, participate in design and code reviews, troubleshoot applications, document technical solutions, and apply modern DevOps and AI-assisted development practices.

Design, deliver, and operate business-critical distributed systems for Signify Health’s value-based care technology platform. The role requires full-stack development, polyglot programming, scalable distributed-systems expertise, cloud engineering, SQL and relational database knowledge, and strong communication. Preferred experience includes event-driven architectures, AI-assisted development tools, Kafka, APIs, containers, Kubernetes, infrastructure as code, monitoring, CI/CD, and agile methods. Quarterly or as-needed travel is required.

Senior Software Engineer responsible for building and maintaining FanDuel Sportsbook mobile applications, primarily through frontend development with React and React Native, while contributing to backend systems. The role includes designing scalable software, testing, improving architecture and processes, monitoring performance, addressing security risks, participating in reviews and planning, mentoring teammates, supporting on-call operations, and collaborating with stakeholders to deliver reliable customer experiences.

Leads development of enterprise administrative and reporting tools, including full-stack web applications and service integrations. Defines scalable architecture, manages development priorities, creates technical specifications and test plans, and addresses performance issues. Collaborates with UX/UI, product, and engineering teams while overseeing DevOps transitions. Leads, coaches, and trains full-stack developers.

Supports the design, implementation, testing, and documentation of real-time embedded vehicle control software. Develops maintainable C/C++ and MATLAB-generated code for embedded platforms, participates in peer reviews and software processes, creates UML designs, supports prototype through production software, and collaborates with engineers, business teams, and suppliers. Requires basic engineering analysis, adherence to CMMI Level 3 procedures, and occasional off-site project travel.

Leads software engineering within an agile team, providing technical guidance, developing and reviewing secure production code, and driving design and operational decisions. Establishes responsible AI-assisted engineering practices, validation standards, automation, and SDLC governance. Serves as a subject-matter expert, promotes reusable frameworks, mentors engineering teams, and delivers scalable cloud-native applications with strong testing, security, and operational stability.

Lead development of secure, scalable web applications and microservices using Java, Python, and AWS. Design, test, troubleshoot, and review production code; improve operational stability through automation and remediation. Guide adoption of AI-assisted engineering tools with secure validation practices, coach engineers on responsible AI use, and evaluate vendor and architectural solutions. Collaborate within an agile team to deliver high-volume, low-latency transactional systems supporting financial services workflows.

Develop and deliver Salesforce Agentforce environments, AI agent development standards, support-agent integrations, and reliable data pipelines within the internal Epic Org platform. The role partners with internal builders and customers, improves operational stability, supports audits and feature adoption, establishes engineering best practices, and enables AI-driven productivity. Responsibilities include server-side application development, AWS deployments, enterprise build pipelines, automated testing, performance analysis, dashboards, and ongoing support and enablement.

Design and implement native Windows components in modern C++; work on device redirection, input, display, audio/video, USB/HID and driver-adjacent code; diagnose kernel/user-mode issues, optimize performance and memory, and own features end-to-end including telemetry, dumps, and live-site debugging.

Develop and operate secure, scalable full-stack web applications and AI-powered agents using Microsoft technologies. Responsibilities include backend and frontend development, API and identity integrations, responsible AI implementation, testing, architecture reviews, deployment, observability, live-site support, and cross-team collaboration. The role also involves mentoring engineers, managing dependencies, and contributing reusable engineering practices and assets.

Leads software engineering direction, mentors developers, defines team roadmaps, architects and scales cloud-based systems, and owns production health. Designs integrations, writes and reviews code, implements testing, improves performance, manages observability and deployments, addresses security findings, and documents technical solutions. Requires strong cloud architecture, software development, relational data modeling, REST APIs, frontend practices, CI/CD, debugging, and Agile leadership experience.

Leads software engineering efforts for scalable Microsoft Dataverse microservices providing near-real-time data insights. Responsibilities include debugging, testing, telemetry analysis, incident retrospectives, root-cause resolution, secure design, performance and scalability improvements, and experimentation using feature flags. The role drives engineering best practices, validates security principles, collaborates with data science and product teams, and supports reliable production services.

Lead software and infrastructure engineering for Azure AI services in air-gapped and sovereign cloud environments. Design, implement, test, deploy, and operate solutions across multiple codebases and architectures. Build automation, deployment tooling, observability, and release validation; troubleshoot complex production issues; participate in on-call support; collaborate across teams; and mentor engineers. The role requires active Top Secret/SCI clearance with polygraph and U.S. citizenship verification.

Designs and owns scalable, fault-tolerant data processing architectures and pipelines handling petabyte-scale Bing and MSN data. Builds datasets, dashboards, metrics, anomaly detection, data quality checks, and real-time insights using Spark, Flink, Azure, Kafka, EventHub, HDFS, and Azure Blob Storage. Optimizes performance, storage, reliability, compliance, and governance while collaborating with data scientists and product managers. Applies AI throughout coding, testing, data processing, and validation.

Evaluates AI coding-agent interactions for technical quality, engineering judgment, reasoning, explanations, and user trust. Provides detailed written and recorded feedback, distinguishes response quality levels, and helps define standards for tools such as Codex, Claude Code, and Cursor. This remote contract requires strong TypeScript, JavaScript, or Python experience, familiarity with AI-assisted development workflows, and senior-level engineering judgment.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.

Design, develop, test, document, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with internal and external customers, and contribute to machine learning and AI-driven software solutions.

Leads technical direction for large-scale accessibility systems that detect, remediate, and prevent web accessibility issues. Designs, builds, and operates secure, scalable distributed systems; drives technical roadmaps; mentors engineers; partners with Product and Design; and promotes responsible AI-assisted development. The role requires hands-on software engineering across JavaScript/TypeScript, React, Node.js, databases, storage, real-time data, and AI-enabled tooling.

Provides Tier 3 support and development for business-critical applications, telemetry services, monitoring platforms, and infrastructure solutions. Responsibilities include C#/.NET development, SQL Server administration, production troubleshooting, incident response, deployments, automation, observability, database performance, disaster recovery, and technical documentation. Collaborates with engineering, infrastructure, and operations teams to restore services, identify root causes, improve reliability, and maintain secure production environments.

Develop and maintain scalable Java and Spring Boot backend services, REST APIs, microservices, and event-driven workflows using AWS. Design data persistence across relational and NoSQL databases, optimize performance, improve CI/CD pipelines, and implement automated testing. Contribute to system design, technical documentation, developer tooling, security, and engineering quality while collaborating with peers and supporting team delivery.

Develop and maintain frontend and backend applications for semiconductor manufacturing and factory automation systems. Design scalable automation solutions, implement testing across multiple levels, automate CI/CD processes, troubleshoot deployed systems, and collaborate cross-functionally on requirements and architecture. The role also applies Agentic AI and GenAI platforms to improve manufacturing automation and decision-making.

Designs, develops, tests, and maintains front-end and back-end software for semiconductor factory automation and Statistical Process Control systems. Responsibilities include database and application releases, secure coding, automated builds and deployments, technical documentation, troubleshooting, and cross-functional collaboration. The role also develops data-driven solutions using machine learning, statistical analysis, and optimization algorithms while supporting Intel’s manufacturing operations.

Develop and maintain mission-critical internal software and platforms that automate workflows across information systems, factories, and launch operations. Own software delivery from concept through maintenance, contribute to architecture and technology decisions, and integrate systems such as ERP, PLM, MES, and supply chain platforms. The role requires full-stack development, database selection, API development, and adaptability in a fast-paced environment.

Develop and maintain front-end and full-stack software for NASA high-performance computing and aerospace research systems. Responsibilities include designing user interfaces, building CI/CD pipelines, leading code reviews, troubleshooting, supporting QA, mentoring developers, advising on new capabilities, contributing to laboratory and flight-test data collection, and developing AI/ML-enabled aerospace research systems.