Top Software Engineer Jobs

Design, build, and maintain high-performance React/TypeScript web applications and reusable UI libraries. Integrate AI/LLM-powered agents and workflows, write tests, participate in code reviews, mentor developers, and collaborate with product, research, and data teams to deliver scalable, secure front-end solutions.

Lead architecture and stabilization of a large-scale, multi-tenant CRM SaaS: own reliability, data-sync correctness, and performance; write production code (~40-50%); drive migration toward event-driven microservices; define observability, CI/CD, and AI-assisted development; mentor senior engineers and coordinate cross-team initiatives.

Design, build, and operate CRM SaaS features across Angular, Node.js, and PHP services. Own integrations, data synchronization, and high-throughput workflows. Improve scalability, reliability, observability, CI/CD, and incident response while mentoring teammates and helping modernize the architecture toward event-driven microservices on AWS.

Design, integrate, and enhance vehicle software deployment infrastructure and developer tools. Improve deployment speed, reliability, and diagnostics. Triage and resolve complex hardware/software deployment failures and collaborate with Firmware, QA, Systems, Manufacturing, and Fleet Operations.

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.

Design and implement model serving architectures, develop monitoring tools, and optimize performance for generative media models working with Applied ML teams.

Design and develop backend services, improve system robustness, write maintainable software, and conduct reviews and testing strategies.

Design, build, and scale backend systems for a social AI platform. Collaborate with product, design, and data teams to deliver performant microservices, optimize user acquisition and retention, and improve platform scalability and reliability.

Lead a full-stack product team to build secure financial and card issuance SaaS solutions while ensuring system reliability and compliance in a regulated environment.

ABCorp is looking for a Principal Software Engineer to lead the technical direction of their Client Experience Platform, overseeing frontend, backend, and data architecture while mentoring engineers and collaborating with Product and UX teams.

As a Staff Software Engineer, you'll provide technical leadership across teams, innovate solutions, mentor engineers, and ensure exceptional software delivery.

Lead design, optimization, and management of large-scale databases and backend platforms. Build schemas, optimize complex SQL, develop stored procedures, resolve production issues, implement Java data access layers (JDBC/ORM), support ETL pipelines, and automate DB operations with shell scripting on Unix/Linux.

Design, develop and deliver enterprise-grade software for financial data and analytics. Build AI-powered analytics, implement CI/CD and test automation in cloud environments (AWS/Azure), work across the full stack, solve complex engineering problems, and collaborate with cross-functional teams globally.

Design, develop and deliver enterprise-grade software and AI-powered analytics for financial markets. Build robust full-stack solutions using cloud platforms, CI/CD, testing and automation. Collaborate across cross-functional, global teams to solve complex engineering problems and continuously improve products and workflows.

Lead engineering role building enterprise-grade, scalable software for financial data and AI-powered analytics. Responsibilities include system architecture, performance optimization, CI/CD and cloud automation (AWS/Azure), mentoring engineers, driving AI-assisted engineering practices, and collaborating with cross-functional teams across regions.

The role requires a Principal Software Engineer to lead complex applications, ensure software quality, mentor teams, and drive best practices across projects.

Lead design and delivery of scalable, secure full-stack systems; mentor engineers; integrate AI-driven and agent-based workflows; ensure cloud-native, containerized deployments and secure SDLC practices.

Design, implement, and operate core distributed storage infrastructure for Postgres, NoSQL, and caching at scale. Lead sharding, query routing, proxy services, connection pooling, multi-region failover, observability, and control-plane automation to improve availability, performance, and cost efficiency.

Design and deliver end-to-end software solutions (APIs, microservices, scalable data models), optimize performance, lead architecture and code reviews, mentor engineers, build CI/CD and observability, document systems, create fault-tolerant distributed systems, and lead front-end and mobile performance work. Must demonstrate broad experience across multiple listed technologies.

Lead full‑stack engineering initiatives to build AI-enabled healthcare products. Ship physician-facing web and mobile features, integrate ML/LLM tooling, architect scalable back-end systems and health data pipelines, and collaborate cross-functionally with product, clinical, and research teams.

Own and evolve core backend platform primitives: external APIs, retrieval/search (RAG) infrastructure, unified health data models including time-series, and enterprise integrations to support AI-driven clinical workflows and multi-tenant reliability.

The role involves developing enterprise software, building data pipelines, and creating flexible marketing solutions using AI capabilities. You'll work on a mission-critical platform to improve understanding of customer data and engage audiences through collaboration and innovation.

Develop, maintain, and enhance software systems from requirements; review and test software components; apply software design/development methodologies; contribute to system design using COTS/GOTS; analyze system performance and processes; collaborate with users and system engineers; investigate and resolve problem areas.

Develop core data management and access frameworks for relational and graph information models in ArcGIS Enterprise. Integrate with relational and NoSQL databases, build full-stack components, collaborate in an Agile Scrum team, and research/extend DBMS support.

Design, build, and operate Developer Intelligence platform components that collect and correlate engineering telemetry, integrate AI/LLM tooling into SDLC workflows, improve observability, automate developer workflows, and mentor peers while resolving architectural and operational bottlenecks.