Top Software Engineer Jobs

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 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.

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.

Configure, manage, and optimize Algolia search indices for enterprise applications. Implement relevance tuning, faceting, personalization, and query optimization across web and mobile platforms. Monitor search analytics to improve performance, collaborate with product and IT teams, document configurations, and provide training and support.

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.

Builds end-to-end AI Copilot experiences across voice, vision, text, and action. Owns features from concept through scalable production, collaborates with applied AI researchers, rapidly ships experiments, analyzes usage, and iterates on products used by millions. The role requires full-stack frontend and backend expertise, scalable web API development, strong Python skills, and comfort working in ambiguous, fast-moving environments.

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

Own product and engineering as a technical co-founder, writing production code and leading architecture, reliability, observability, AI delivery infrastructure, unit economics, roadmap, customer-facing technical work, and founding-team recruitment. Harden the AI voice front desk for production, scale managed AI worker delivery, balance quality and cost, support legal privacy requirements, and expand the platform into additional AI staff roles.

Own the technical direction and product engineering for an AI legal front desk platform. Build production-grade voice and workflow systems, reliability and observability infrastructure, managed AI delivery capabilities, and scalable multi-tenant architecture. Balance AI quality with cost-per-call economics, support customer and investor conversations, convert pilots into paying customers, recruit the founding engineering team, and expand into additional AI staff roles and self-hosted models.

Own product and engineering as a technical co-founder, writing production code and setting technical direction. Build reliable voice and workflow systems, internal AI delivery infrastructure, observability, audit trails, and secure multi-tenant SaaS. Balance AI quality with cost-per-call economics, support customer and investor discussions, expand the AI workforce roadmap, recruit the founding engineering team, and develop self-hosted model capabilities for legal and privacy needs.

Design, develop, and operate secure, scalable, AI-enabled enterprise applications and integrations using .NET, React/Next.js, Azure, distributed systems, and modern architecture patterns. Build cloud-native services, APIs, microservices, observability tooling, AI workflows, and secure integrations for regulated business processes. Contribute to architectural strategy, mentor engineering teams, promote secure SDLC practices, and collaborate across product, business, implementation, and client-facing teams.

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.