Top Software Engineer Jobs

Leads engineering for one or more product-domain teams, partnering with Engineering Managers, Product, Data Science, Analytics, and Insurance stakeholders. Responsibilities include setting technical strategy and roadmaps, coaching engineers, driving cross-team initiatives, contributing code, leading incident response and resiliency improvements, and establishing engineering standards. Requires strong Ruby on Rails expertise, Rust familiarity, software leadership experience, and excellent communication skills.

Quantitative Developer Interns will improve trading research infrastructure, optimize ETL pipelines, caches, and SQL databases, collaborate with quantitative researchers on trading signals, and develop automated equities trading applications and real-time analytics. The role requires strong Python programming and values Docker, Unix, shell scripting, profiling, code optimization, statistics, machine learning, ownership, independence, collaboration, and financial-services experience.

Develops scalable, secure, and maintainable SaaS software throughout the full lifecycle, including design, coding, testing, deployment, defect resolution, and release documentation. Builds distributed server-side applications, REST APIs, microservices, database solutions, and containerized workloads. Participates in Scrum ceremonies and collaborates with product, architecture, UX, and engineering teams.

Develop, test, document, debug, and maintain Java mission applications for defense and intelligence clients. Responsibilities include agile development planning, software design, troubleshooting, COTS/FOSS integration, lifecycle process compliance, documentation, and standards enforcement. The role requires active Top Secret clearance, U.S. citizenship, and potential SCI and CI polygraph processing. Preferred technologies include Java enterprise frameworks, databases, microservices, containerization, CI/CD, big data, and geospatial tools.

Develops, tests, deploys, documents, monitors, and maintains UiPath RPA solutions for healthcare revenue cycle workflows. Translates business requirements into technical designs, integrates APIs and operational systems, manages automation infrastructure, and ensures compliance with data security standards. The role also troubleshoots issues, minimizes downtime, and collaborates with cross-functional stakeholders.

Build and ship full-stack healthcare platform features, integrations, bug fixes, and infrastructure improvements. Responsibilities include implementing clinical rules, developing AI and LLM-powered automations, integrating EHR and payer systems, improving APIs and data pipelines, writing tests, reviewing code, and owning features end to end. The role is hybrid in the Bronx and involves close collaboration with clinicians, care coordinators, principal engineers, and operators.

Owner of product outcomes for AI-enabled 911 tools: define roadmaps, talk with customers, design and ship frontend/backend features, iterate quickly, and visit dispatch centers to inform product decisions.

Designs, develops, tests, deploys, maintains, and documents software applications and systems throughout the software development lifecycle. Provides technical guidance, code reviews, debugging support, estimation expertise, and mentorship to junior developers. Uses Java-based frameworks, cloud platforms, databases, CI/CD tools, monitoring solutions, and collaboration platforms while contributing to Agile development and continuous process improvement.

Lead domain architecture for Blue Yonder/JDA solutions, translating business needs into technical roadmaps, high-level designs, integrations, and standards. Collaborate with stakeholders, enterprise architecture, partners, and development teams to ensure secure, scalable, and compliant implementations across the domain.

Develops high-quality software and AI-powered prototypes for national security missions. Responsibilities include architectural design, feature development, automated testing, backlog grooming, sprint execution, API and SDK development, integration debugging, and research involving LLMs, embeddings, and smaller trained models. The engineer independently leads focused efforts while collaborating with product and engineering teams, using modern DevSecOps and CI/CD practices.