Top Software Engineer Jobs

Leads multiple software engineering teams developing voice and text chatbot solutions. Responsibilities include mentoring engineers, managing Agile Scrum activities, contributing to architecture and design, reviewing code, overseeing the full software development lifecycle, hiring and evaluating talent, managing stakeholders, and ensuring secure, scalable, high-quality software delivery in cloud environments.

Develop and maintain complex software systems, including AI automation workflows, integrations, algorithms, and high-volume data-processing solutions. Build CI/CD pipelines, debug and enhance applications, develop database queries, implement monitoring, optimize performance, and execute software testing. The role also involves requirements analysis, documentation, system installation, quality control, and collaboration with engineering teams. Work is performed near Fort Meade, Maryland, and requires TS/SCI with a polygraph.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Develop and maintain internal software tools, services, automations, and AI-enabled solutions that improve engineering productivity. Collaborate with engineering stakeholders to identify workflow improvements, evaluate AI technologies, troubleshoot issues, and enhance tool reliability. The role involves software design, development, testing, maintenance, and support while learning new technologies and applying them to practical engineering challenges.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads the engineering organization for a firm-wide software dependency risk platform. Responsibilities include hiring and managing engineers and engineering managers, owning platform architecture and roadmap on AWS and Java, building data ingestion and dependency graph capabilities, establishing AI-first development practices, and driving responsible AI governance, security, resiliency, and adoption across a complex enterprise.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Take AI-generated prototypes into production by refactoring, designing architectures, building internal web applications and integrations, creating data models, writing tests and documentation, and instrumenting deployed tools. Direct AI coding tools, review analyst code, ensure security and maintainability, reconcile data across ERP, CRM, telematics, and other systems, and support technicians, schedulers, buyers, and planners.

Software development intern working with mentors and peers to design, implement, test, document, and review software features. The role involves learning development tools and programming practices, completing simple coding tasks, participating in design discussions and code reviews, incorporating feedback, and building domain knowledge. Candidates need basic Java programming skills, strong analytical and communication abilities, attention to detail, teamwork, documentation, organization, and problem-solving skills. Current Computer Science or related degree students are eligible.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

Lead the architecture and development of a scalable mobile ecosystem across iOS and Android. Design AI agentic workflows using LLMs, modernize legacy systems with .NET and cloud-native technologies, and oversee mobile CI/CD and Azure Kubernetes deployments. The role provides technical mentorship, establishes coding standards, leads architectural decisions, and drives high-scale testing and reliability across global construction technology solutions.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Staff Engineer responsible for architecting and implementing secure, scalable full-stack cloud services processing petabytes of data. The role provides technical direction across frontend, backend, and data layers; resolves complex cross-organizational challenges; establishes engineering standards for performance, reliability, and security; aligns technical execution with product strategy; and mentors senior and lead engineers. The position requires extensive experience with cloud-native distributed systems, architecture, technical leadership, cross-team influence, and large-scale reliability.

Build scalable, responsive frontend experiences for Snowflake Cortex AI. Develop production-quality TypeScript and React interfaces, integrate APIs supporting AI inference and data retrieval, participate in architecture and code reviews, collaborate with product and design teams, and optimize frontend performance and reliability. The role also involves using AI coding assistants as part of daily development and may include building LLM-powered applications or conversational interfaces.

Leads software development and coaches engineers while driving adoption of AI-assisted coding, agentic workflows, prompt and context engineering, and AI governance. Reviews architecture, requirements, code, testing, security, resiliency, and production changes. Establishes controls for AI-generated output in a regulated banking environment, maintains shared AI development assets, improves engineering productivity, and communicates technical progress and risks to stakeholders.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Develop and operate full-stack, cloud-based applications for small businesses using React, Node.js, JavaScript/TypeScript, MongoDB, and AWS. Translate ambiguous business needs into software requirements, architecture, and acceptance criteria. Use AI to accelerate research, coding, testing, debugging, and documentation while validating outcomes. Build integrations, multi-tenant platforms, customer-domain infrastructure, and business workflows; troubleshoot production systems and improve deployment processes.

Build and operate full-stack, cloud-based applications for small businesses using React, Node.js, JavaScript/TypeScript, MongoDB, and AWS. Translate ambiguous customer and business needs into requirements, architecture, and acceptance criteria. Use and validate AI-generated work across development, testing, debugging, and documentation. Develop integrations, multi-tenant platforms, domain and DNS capabilities, and business workflows while diagnosing production issues and improving engineering and deployment processes.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Own the architecture and implementation of Applied AI backend systems, including APIs, data models, distributed pipelines, orchestration, infrastructure, and production reliability. Lead technical direction, build high-throughput services, manage containerized infrastructure with Terraform, participate in on-call, resolve incidents, mentor senior engineers, and collaborate across product, operations, and research teams. The role requires strong backend, database, distributed systems, and production operations expertise, plus enthusiasm for agentic AI development.

Build and operate backend services for Mercor’s Applied AI platform, including APIs, data models, background jobs, and high-throughput pipelines. Own features from design through production, with responsibility for reliability, observability, performance, infrastructure, containerized environments, and incident response. Collaborate with product, operations, and research teams to turn ambiguous requirements into production systems.

Design and architect Android systems and modular components to support multiple apps. Ship end-to-end user features using an AI-assisted workflow, improve developer tooling and CI, set quality and safety standards for AI-generated code, solve performance and production issues, and document playbooks for the team.

Build and operate scalable internal platforms, APIs, backend services, and frontend applications. Use AI tools for coding, testing, debugging, documentation, and productivity improvements. Partner with Product, Infrastructure, Data, Security, and SRE teams to deliver reliable cloud-native systems. Own features end-to-end, participate in on-call rotations, support production systems, and improve reliability, performance, security, and observability.