Top Software Engineer Jobs

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

Lead distributed engineering teams building and operating cloud-native, AI-powered software systems. Responsibilities include hiring, coaching, performance management, delivery planning, technical decision-making, cross-functional partnership, AI-assisted development adoption, operational excellence, metrics, incident reviews, and continuous improvement. The manager will establish scalable engineering processes, guide architecture, improve reliability and productivity, and ensure secure, observable, resilient, and maintainable software delivery.

Provide technical leadership across engineering teams by defining architecture, building reusable cloud-native platforms, and designing distributed systems and production AI applications. Establish engineering standards for reliability, security, observability, governance, and operational excellence. Mentor senior engineers and technical leaders, influence architecture through collaboration, and drive modernization, AI-assisted development, and platform engineering initiatives.

Design, build, and own scalable backend systems and APIs powering Slackbot, including search, integrations, and AI capabilities. Collaborate with product, design, and engineering teams to deliver user-focused features, make architectural decisions, resolve production issues, and improve system reliability. Mentor engineers, conduct code reviews, and advance engineering standards, tooling, and processes across the team.

Lead the engineering function and remain hands-on while building an AI-powered freight billing platform. Own architecture, data infrastructure, AI/ML validation, enterprise integrations, security, CI/CD, observability, testing, and scalability. Partner with Product and Data Science to automate invoice validation, discrepancy detection, exception handling, and auditability. Build and mentor distributed engineering teams, establish technical direction, and deliver rapid MVP iterations for enterprise adoption.

Design and implement server-side logic and RESTful APIs, manage MongoDB and Redis databases, ensure security and performance, contribute to system design and architecture, review code and scope deliverables, collaborate with Product and Client Success, and maintain documentation.

Develop, test, and release full-stack production features across backend, frontend, infrastructure, architecture, analytics, and integrations. Parse complex healthcare datasets into actionable insights, contribute to data modeling and cloud pipelines, and participate in code reviews and technical decisions. The engineer will own problems end to end, collaborate with customers and product teams, and work in a hybrid NYC environment.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

Lead architecture and production deployment of AI platforms across cloud and on-premises environments. Partner with enterprise architects, shape product strategy, resolve critical production issues, and implement scalable platform capabilities. Drive cross-functional alignment across Product, Engineering, DevOps, Security, ML, Customer Success, and Forward Deployed Engineering. Mentor senior engineers and improve deployment efficiency, reliability, security, observability, and scalability.

Lead developer enablement for firmwide developer tools: run demos, workshops, and office hours; create reusable examples and guidance; drive responsible adoption of AI coding tools; gather feedback for platform/product teams; advocate for developers across risk, tooling, and leadership; and help shape adoption strategy and enablement content.

Serve as the technical lead for Trade Finance software solutions, directing architecture, application development, integrations, data platforms, cloud infrastructure, security, and modernization. Translate business requirements into technical designs, guide engineering teams, establish development standards, oversee software quality and production support, and evaluate emerging technologies. The role also defines AI strategy, governance, and transformation initiatives while collaborating with product, operations, compliance, vendors, and other stakeholders.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, scaling, model lifecycle management, Helm packaging, offline deployments, platform integrations, and production observability. Contribute across a multi-service Go codebase, create design documentation, participate in reviews, and help guide engineering direction within an autonomous remote-first team.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

Develop and maintain microservices-based, real-time software for mission-critical air traffic systems. Collaborate with product, systems engineering, QA, DevOps, and platform teams in an Agile/SAFe environment. Translate requirements into reliable solutions, integrate APIs, databases, messaging systems, and external services, and contribute to design and technical decisions. Apply CI/CD, DevSecOps, automated testing, troubleshooting, performance tuning, and AI-assisted development tools. The role is fully remote and requires Public Trust eligibility and U.S. citizenship.

Build and optimize developer-facing tools, including IDE integrations, CLIs, code-analysis systems, and CI/CD workflows. Integrate transparent, reliable AI capabilities into developer experiences, optimize high-volume production services, and improve availability, latency, and efficiency. Drive engineering best practices through code reviews, automation, documentation, and technical leadership while mentoring junior engineers. The role also requires communicating complex architectures and operating tooling across enterprise deployment environments.

Support semiconductor EDA-to-ATE conversion workflows using Velocity and related tools. Assist with pattern debugging, timing analysis, log parsing, data processing, automation scripts, validation, and regression testing. Collaborate with applications and software engineering teams across DFT, simulation, and production ATE environments. Participate in AI-assisted engineering workflows and document technical findings while developing practical experience in semiconductor test automation.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

Build and maintain responsive WordPress websites, landing pages, reusable templates, and digital lead-generation experiences. Use AI-assisted development tools to accelerate coding, publishing, testing, and troubleshooting while reviewing code for quality and security. Implement technical SEO, analytics, conversion tracking, integrations, performance improvements, and QA. Manage themes, plugins, staging, deployment, backups, and website security while supporting scalable publishing workflows and collaborating with marketing and business teams.

Design and develop next-generation scale-up networking fabrics for AI data centers. Lead collaborative development across hardware, software, and applications to improve scalability, reliability, and robustness for large-model training. Create innovative concepts through production implementation, collaborate with cross-functional teams, and lead complex projects delivering large-scale networking and AI solutions.

Develop production-ready full-stack applications using Java, Java EE, RESTful microservices, Oracle, Angular, TypeScript, and Node.js. Leverage AI coding assistants such as GitHub Copilot for code generation, debugging, optimization, and prompt-driven development. Validate AI-generated code for accuracy, performance, and security, while applying JVM performance profiling and strong analytical problem-solving skills. The role requires working onsite four days per week in Lansing, Michigan, with no remote option.

Develop and maintain reliable Android and cross-platform software while diagnosing complex production issues through logs, telemetry, and root-cause analysis. Build AI-enabled log analysis, incident triage, RAG workflows, and automation to reduce debugging effort and MTTR. Implement and validate fixes through CI/CD pipelines, identify recurring defects, and improve system reliability in collaboration with engineering and operations teams.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.