Top Software Engineer Jobs

Lead planning, execution, and delivery of complex software projects; manage application lifecycle, integration, and decommissioning; ensure alignment with strategic goals; oversee team recruitment, performance, budgeting, risk management, stakeholder communication, and stability of mission-critical systems. Travel up to 10% for internal meetings and trainings.

Design, build, and operate cloud-native, highly scalable distributed backend systems. Own end-to-end delivery of complex backend components, participate in design and architecture reviews, identify and fix performance bottlenecks, mentor junior engineers, and integrate services with messaging systems, databases, containers, and CI/CD pipelines.

Design, develop, test, troubleshoot, and maintain scalable full-stack payment solutions using Java, React, PostgreSQL, and cloud technologies. Build secure production code, optimize databases, deploy cloud infrastructure, create architecture artifacts, and improve CI/CD automation. Use AI-assisted development tools responsibly, analyze data for system improvements, collaborate across engineering and product teams, and uphold resiliency, security, and software development best practices.

Build backend-heavy fullstack features for DX Fabric, including scalable REST APIs, React components, software catalogs, scorecards, automated workflows, and agentic capabilities. Optimize PostgreSQL and SQL performance at enterprise scale, implement monitoring and error reporting, review code, and collaborate with product, design, and engineering teams in an Agile environment.

Develop and maintain a full-stack simulation platform for autonomous construction robotics. Responsibilities include software development, 3D rendering and manipulation, mapping integration, API and database design, code reviews, requirements collaboration, CI/CD improvement, onboarding, and agile teamwork. The role partners closely with robotics teams and supports simulation, cloud deployment, web automation, and modern frontend and backend technologies.

Develop and maintain a full-stack simulation platform for autonomous construction robotics. Responsibilities include building simulation and rendering software, manipulating 3D objects, integrating mapping technologies, designing APIs and database schemas, collaborating with robotics teams, conducting code reviews, onboarding teammates, participating in design discussions, and improving CI/CD processes. The role is onsite five days per week in Irving, Texas.

Design, build, test, and maintain scalable backend RESTful APIs and microservices using Java and cloud platforms. Lead feature implementation, ensure security (OAuth2/JWT), mentor engineers, drive CI/CD automation, support production issues, and contribute to architecture, API contracts, observability, and operational excellence.

Architects and builds highly scalable distributed systems, data ingestion pipelines, and Data Lake platforms. Designs Kafka, Iceberg, Flink, and Spark solutions; develops reusable libraries and frameworks; optimizes JVM performance; troubleshoots production issues; and provides technical leadership for complex engineering initiatives. The role also requires cross-team collaboration, engineering best-practice enforcement, and evaluation of emerging technologies.

Lead full-stack engineering teams building ServiceNow’s AI Experience Framework, a Lit-based platform for reusable conversational user interfaces. Own roadmap delivery, architecture, technical direction, staffing, mentoring, production escalations, and cross-team coordination. Guide decisions involving AI integration, performance at scale, server-rendered components, routing, APIs, state management, and multi-team framework adoption.

Leads architecture and development for ServiceNow’s enterprise data access platform. Responsibilities include improving scalable, secure, high-performance data access; developing SQL generation and database metadata capabilities; troubleshooting complex production issues; driving architecture, design, code reviews, testing, and reliability practices; delivering cross-team projects; and mentoring engineers across levels. The role requires expert Java and backend platform development, relational database expertise, distributed systems knowledge, and technical leadership across teams.

Build the core visualization platform, reusable frameworks, design systems, and developer tooling for client-facing financial analytics. Translate complex market and trading data into clear, high-performance applications while partnering with product, design, sales, and engineering teams. Evaluate emerging technologies, provide hands-on technical leadership, conduct design reviews, and mentor engineers. The role requires strong software engineering, visual design judgment, interaction design, and information architecture expertise.

Design, develop, and maintain Salesforce solutions and integrations. Build Apex, Lightning Components/LWC, Visualforce, Flows, OmniScript and FlexCards. Implement Sales and Service Cloud capabilities, write automated tests, document code, mentor engineers, and manage deployment processes while collaborating with business and design teams.

Lead design, build, and productionization of scalable, secure data pipelines and products in Azure Databricks. Implement batch and streaming ETL, Vector Search, RAG, LLM integrations, automation with Cursor/agents, CI/CD, observability, and governance. Mentor peers and partner with data scientists to operationalize AI while owning platform reliability and efficiency.

Build and maintain large-scale simulation evaluation pipelines, dashboards, and reports to quantify simulation accuracy and reliability. Collaborate with Autonomy, Systems, Safety, and Simulation teams to define validation methodologies, lead technical design and code quality, mentor engineers, and apply analytics and AI-assisted tools to improve simulation testing and monitoring.

Develop, deploy, monitor, and manage highly available production software systems within a collaborative scrum team. Write readable, efficient code; participate in code reviews; apply software design patterns, frameworks, and best practices; improve internal tools and processes; evaluate open-source solutions; and contribute innovative ideas. The role requires object-oriented programming experience, application development experience, effective communication, and strong teamwork.

Design, build, and evolve full-stack software across the development lifecycle. Translate ambiguous requirements into actionable specifications, deliver scalable and maintainable solutions, improve observability, participate in architecture and code reviews, establish engineering and AI-development standards, and mentor junior engineers. Collaborate with product, architecture, engineering, and business stakeholders while ensuring software quality, performance, security, and operational excellence.

Build, test, deploy, and support full-stack software across the SDLC. Own discrete features and system components, use AI-assisted development tools, contribute to prompt engineering, participate in design discussions and code reviews, implement tests and secure coding practices, monitor production systems with observability tools, document processes, communicate status, and drive assigned work to completion with limited oversight.

Entry-level software engineers will work across the full software lifecycle, including coding, debugging, software and hardware integration, regression testing, and requirements testing. The role includes project rotations, mentorship, technical classes, workshops, and collaboration across engineering disciplines. Engineers will develop software using multiple programming languages and object-oriented design techniques while supporting complex defense systems.

Develop and maintain software across the full lifecycle, including coding, debugging, integration, regression testing, and requirements testing for complex software and hardware systems. Participate in project rotations, receive mentorship, attend technical workshops, and collaborate across engineering disciplines. The role supports defense programs and requires eligibility for a U.S. Department of Defense security clearance.

Develop and maintain enterprise software solutions across on-premise and cloud environments for a government customer. Responsibilities include software architecture, cloud implementation, DevOps pipeline development, database design and optimization, cross-network application portability, documentation, stakeholder requirements gathering, technical recommendations, release management, and communication with senior leadership. The role requires secure solutions capable of operating across disconnected, restricted, and differently classified networks.

Own the technical strategy, architecture, development, configuration, integrations, data model, and roadmap for the company’s Salesforce platform. Lead Salesforce consultants and developers, oversee delivery standards and release governance, manage vendors, translate business requirements into scalable solutions, and align Salesforce with ERP, IT, data, and organizational priorities. The role also includes stakeholder and executive partnership, technical decision-making, and AI enablement or product integration.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build foundational lakehouse infrastructure for exabyte-scale AI data environments. Responsibilities include metadata and transaction systems, table maintenance, schema and partition evolution, snapshot isolation, compaction, clustering, file-layout optimization, object-store performance, columnar-format optimization, and query performance across major lakehouse engines. The role also involves debugging distributed systems, implementing compression and data-efficiency algorithms, and contributing to open-source or research efforts.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.