Top Software Engineer Jobs

Lead a team delivering cloud-based, full‑stack enterprise platforms using distributed microservices. Collaborate with product managers, mentor engineers, experiment with new tech (including AI tooling), and build scalable solutions using languages like Java/Go/JavaScript and container orchestration on AWS and other cloud providers.

Own customer problems from concept through production by building full-stack financial systems powered by AI agents. Develop workflows for invoicing, collections, payroll, reporting, and month-end close; create integrations with banking, accounting, payroll, payment, and communication platforms; and architect secure, auditable, reliable infrastructure. Collaborate directly with founders and finance teams, design intuitive interfaces, iterate based on customer feedback, and help establish the startup’s engineering culture and technical standards.

Lead Appian implementation teams, design scalable platform architectures, mentor developers, guide Agile/DevSecOps practices, integrate web services and RDBMS, produce best-practice documentation, and support client-facing technical strategy and delivery.

Leads development of scalable cloud-native payments and POS software, translating requirements into reliable technical solutions. Drives architecture, software quality, automated testing, CI/CD, observability, production issue resolution, and continuous improvement. Provides technical leadership, mentors engineers, collaborates with product and customer-facing teams, and incorporates customer feedback into product enhancements. The role also promotes modern engineering practices, including AI-assisted development.

Designs, develops, and delivers scalable, secure software solutions; resolves complex technical issues; optimizes performance and reliability; builds cloud-native systems; supports CI/CD, automation, containers, monitoring, and infrastructure provisioning. The role applies security and compliance best practices, manages technical integrations and evaluations, collaborates with stakeholders, reviews code, maintains documentation, mentors engineers, and drives continuous improvement.

Leads architecture, design, and development of complex customer-facing mobile, web, and backend software. Defines long-term technical roadmaps involving Android, React Native, computer vision, edge AI, OCR, and GenAI. Oversees the software development lifecycle, drives innovation, advises on enterprise architectures, monitors industry trends, protects intellectual property, and mentors senior engineers and leaders. The role requires strategic cross-functional influence and onsite hybrid work in Holtsville, NY, or Lincolnshire, IL.

Leads the discovery, architecture, development, deployment, support, and optimization of workflow automation and AI-enabled solutions. Partners with operations leaders to improve processes, define requirements, integrate systems, and deliver scalable RPA, low-code, API, document-processing, and approved AI solutions. Provides technical leadership, ensures security and governance compliance, supports adoption, and measures business outcomes. This hands-on role does not involve machine learning model development or advanced predictive analytics.

Lead an agile team to design, develop, and operate low-latency, high-throughput distributed backend services and APIs using Java, Spring Boot, AWS and Kafka. Drive secure, scalable production code, adopt enterprise AI-assisted engineering practices, improve operational stability through automation, and evaluate vendor and architectural solutions.

Lead Software Engineer responsible for designing, building, and maintaining scalable data pipelines and platform components (cataloging, quality, lineage, governance). Implements data modeling, partners with stakeholders to deliver production-grade code, automates operations, evaluates vendors, and leads Agentic Autonomous Lakehouse and engineering communities to drive platform innovation and operational stability.

Build and own full-stack product features for an AI-powered biopharma documentation platform. Develop React and TypeScript interfaces, backend services, APIs, data models, and production deployments. Design scalable systems for complex enterprise workflows, create AI-native scientific and regulatory content experiences, collaborate cross-functionally, and make pragmatic architectural decisions in a fast-paced startup environment.

Develop and operate Java 21+ microservices using Spring Boot, REST APIs, event-driven integrations, relational databases, Docker, Kubernetes, and Azure. Modernize legacy monoliths, build automated tests, contribute to CI/CD and infrastructure automation, monitor production systems, and support incident response. Use Claude Code and other AI coding agents throughout development while evaluating generated code for security, reliability, maintainability, performance, and coverage. Own service architecture and evolution while collaborating with product, platform, security, QA, and business teams.

Build and operate end-to-end full-stack applications for transaction monitoring and data controls. Develop responsive UI components, Java Spring Boot microservices, REST APIs, event-driven Kafka and Spark pipelines, and cloud-native GCP solutions. Contribute to LLM, Agentic AI, and RAG automation initiatives while ensuring scalability, resilience, observability, security, and performance. Collaborate with cloud, security, data, risk, and compliance teams across globally distributed environments.

Lead AI platform architecture, design microservices and REST APIs, mentor engineers, and drive Agile practices for AI systems at scale.

As a Principal Software Engineer, you will lead architectural development and implementation of complex software systems while collaborating with engineering teams across disciplines.

Develop production-grade Python services, pipelines, testing frameworks, and data tools that automate quantitative market and credit risk model lifecycles. Build AI/ML and LLM-enabled documentation, data quality, validation, and workflow capabilities within governed enterprise environments. Collaborate with quants, validators, data engineers, and program leaders while applying secure software engineering, CI/CD, testing, and scalable design practices. Mentor junior developers and contribute to technical design reviews.

Designs and owns full-stack AI developer productivity products and platforms, including desktop applications, backend APIs, data pipelines, dashboards, telemetry, integrations, and developer tools. Leads technical design for scalable AI coding tool integrations, translates ambiguous requirements into production software, and manages reliability, observability, performance, security, and supportability. Evaluates human- and AI-generated code and advances prompt engineering and system-context practices for reliable AI-assisted development.

Lead the design and development of software applications, collaborate with teams, mentor developers, and improve codebases to meet business goals.

Leads software engineering strategy, architecture, solution delivery, quality, testing, performance, and continuous improvement across a healthcare technology portfolio. Builds and develops diverse engineering teams, manages managers and individual contributors, drives data-informed decisions, aligns cross-functional roadmaps, and ensures resilient, supportable solutions that improve caregiver experiences and meet business objectives.

Design and build scalable enterprise applications in C#/.NET (APIs, microservices) and integrate AI capabilities (Python, LLMs, RAG, vector DBs, agentic frameworks). Own CI/CD, Azure DevOps workflows, containerized deployments, and collaborate across teams to deliver AI-enabled operational automation and agent integrations.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

Build internal software and AI-powered systems that connect Product, Engineering, Sales, Marketing, Programs, and Operations. Responsibilities include integrating SaaS tools, APIs, databases, LLMs, and AI agents; automating workflows; creating systems that translate product specifications into engineering work; maintaining synchronized documentation; supporting controlled government proposal workflows; and improving how employees and agents collaborate.

Build and own mobile experiences for clinicians using Flutter, Swift/iOS, and Kotlin/Android. Develop AI-native workflows involving real-time transcription, ambient documentation, multimodal inputs, offline functionality, and intelligent recommendations. Collaborate with clinicians, product, design, AI, and backend teams from discovery through launch. Ensure performance, accessibility, reliability, analytics, testing, observability, and release readiness while contributing to mobile strategy and mentoring engineers.

Designs and maintains AI-powered full-stack applications using React, TypeScript, Python, and FastAPI on Azure. Builds cloud-native, containerized solutions, data pipelines, CI/CD workflows, Terraform infrastructure, dashboards, and secure production systems. Integrates LLMs, AI agents, and machine learning models while partnering with data scientists and business stakeholders. Provides technical leadership, establishes engineering standards, mentors team members, and manages the full software development lifecycle.