Top Software Engineer Jobs

Paid 12-week internship supporting the Commercial Tech team with Salesforce data-flow automation, process streamlining, sales applications, digital sell sheets, and AI initiatives. The intern will assist with reports, presentations, meetings, documentation, process improvements, and special projects while collaborating with technology, sales, and cross-functional teams. The role is based in Keene, New Hampshire, and includes mentoring, professional development, networking, and an end-of-internship presentation.

Lead architecture and hands-on development for cloud data optimization products and Stratusphere’s data platform. Diagnose and improve database, query, storage, networking, and workload performance across AWS, Azure, relational, analytical, search, and lakehouse systems. Build production services, integrations, testing, observability, and infrastructure automation while safely overseeing AI-assisted development. Partner with product teams, forward-deployed engineers, and customers to validate optimizations, document tradeoffs, and convert repeatable solutions into scalable platform capabilities.

Develops and tests scalable Java web applications and reusable components throughout the agile lifecycle. Responsibilities include SOAP and REST web services, unit and acceptance testing, code reviews, troubleshooting, load testing, performance tuning, continuous improvement, and sprint communication. The role requires collaboration across development and testing teams, cloud application experience, AWS, CI/CD, J2EE frameworks, and eligibility for a Public Trust clearance.

Build and operate backend platform services using Kotlin and the JVM. Design APIs, data models, integrations, event-driven workflows, and AI runtime capabilities. Incrementally improve architecture, reliability, observability, security, testing, deployment, and performance while partnering with SRE. Support communications or billing workflows and provide technical leadership through architecture decisions, documentation, code reviews, and collaboration.

Develops and maintains custom web, desktop, reporting, integration, and data applications using C#, PHP, .NET, JavaScript, SQL Server, SSIS, and SSRS. Supports business applications, troubleshooting, testing, documentation, and project delivery. Designs and deploys AI and agentic AI solutions using LLMs, APIs, MCP, RAG, orchestration, governance, and human oversight. Collaborates with users, vendors, IT teams, and project managers, and participates in on-call support.

Own and maintain the WordPress platform end-to-end: hosting, security, performance, technical SEO, tracking (GA4/GTM), integrations (HubSpot/APIs), backups, and documentation. Establish environments, deployment workflows, monitoring, and runbooks while partnering with front-end and marketing teams to ensure reliable, high-performing, and compliant site operations.

Design, develop, test, secure, and operate software for automated storage and fulfillment systems. Build networked services and integrations, configure secure connectivity, deploy containerized applications, maintain CI/CD pipelines, and troubleshoot complex software and infrastructure issues. Provide technical leadership through architecture and code reviews, mentoring, documentation, and cross-functional collaboration with hardware, firmware, QA, and product teams. Domestic and international travel is required as needed.

Build and operate software and AI tools supporting research into fault-tolerant neutral atom quantum computing architectures. Collaborate closely with a tight-knit team to design and develop systems for the company’s quantum computer. Prior quantum computing experience is not required, and candidates at all experience levels are welcome.

Leads API and Model Context Protocol platform strategy and delivery for an AI-native, agent-driven platform. Designs semantic, agent-ready APIs, context-aware services, discovery patterns, governance standards, and reusable frameworks. Partners with Architecture, AI, Data, Platform, product, engineering teams, and vendors to establish scalable cloud-native systems, mentor engineers, and drive adoption of API and MCP standards.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.