Top Software Engineer Jobs

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

Lead frontend architecture and development for an AI-powered voice platform. Build responsive dashboards and reusable components, integrate real-time WebSocket and WebRTC voice capabilities, consume AI backend APIs, manage complex application state, and optimize performance, accessibility, and reliability. Mentor frontend developers, establish coding standards, collaborate with designers and backend teams, and develop prototypes, testing strategies, and production-ready interfaces.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Graduate interns will design, develop, test, and debug software, firmware, embedded systems, validation tools, and AI-enabled engineering workflows. Responsibilities include automation, regression testing, log and performance analysis, root-cause investigation, and collaboration with firmware, software, validation, and hardware teams supporting SSD and storage products.

Build and scale front-end experiences for Alteryx AI products using React, TypeScript, and micro frontend architecture. Develop reusable UI components, integrate backend services and AI workflows, improve accessibility, performance, testing, and reliability, and guide technical direction. Collaborate across Product, Design, Backend, and Platform teams while mentoring engineers and driving modernization, architecture, and developer experience improvements.

Own and develop production systems across backend services, data infrastructure, AI/LLM workflows, and React/TypeScript applications. Build LLM-powered agents and RAG systems on AWS Bedrock, develop scalable ML and data pipelines, and design PostgreSQL, OpenSearch, Kafka, Redis/Celery, and Kubernetes-based architectures. Partner with technical leadership on system design and roadmap decisions while translating customer and analyst needs into reliable software.

Build and operate full-stack SaaS features across Go services and Vue interfaces. Develop customer installation and instrumentation experiences for agentic systems, expose agent behavior telemetry, and create LLM-backed capabilities involving prompts, context, tool calling, and evaluation. Own production delivery through testing, feature flags, monitoring, logging, and incident resolution. Collaborate through code reviews, documentation, estimation, and clear communication.

Build scalable AI capabilities for Fidelity Wealth, partnering with business, product, architecture, data, and platform teams. Develop secure, reliable, production-ready solutions; apply modern software architecture, cloud platforms, testing, and design patterns; lead technical discussions; mentor engineers; and deliver end-to-end full-stack systems.

Designs and implements scalable Java and cloud software solutions, modern microservices, APIs, and Generative AI capabilities. Leads architecture discussions, creates proofs of concept, optimizes performance, participates in code reviews, resolves complex issues, and mentors engineers. Collaborates with business and technical leaders to deliver high-quality products and improve platform capabilities.

Own the frontend for Sauna, building fast, polished interfaces for complex AI-powered workflows. Make product and UX decisions, prototype and ship independently, develop reusable React components, optimize state management and performance, and own full-stack features across database, backend, and frontend layers. Bonus experience includes multiplayer collaboration, LLM interfaces, local-first architectures, and design.

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.

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.

Lead design and delivery of end-to-end technical solutions. Develop, document, and maintain applications focusing on efficiency, scalability, reliability, and security. Act as SME across lifecycle, drive automation for build/test/release, perform code reviews, mentor team members, and collaborate with architects and stakeholders to align solutions with enterprise standards.

Lead the design, development, security, and governance of cloud platforms, enterprise APIs, distributed systems, and AI-driven solutions. Manage multiple engineering teams, define technical strategy and architecture standards, build secure developer platforms, write infrastructure-as-code, develop Java or .NET microservices, and integrate generative AI tooling. Oversee budgets, resources, risk, compliance, hiring, performance management, and stakeholder engagement across a global organization.

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.

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.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.