Top Engineering Jobs in Boston, MA

Lead enterprise automation and agentic AI initiatives, owning the automation and integration stack and Center of Excellence. Build secure, reusable workflows and integration frameworks using platforms such as Zapier, Claude, and Glean. Establish governance, standards, documentation, and prioritization practices while partnering with IT, innovation teams, engineers, business stakeholders, and executives. Identify operational inefficiencies, develop automation roadmaps, and deliver scalable systems with secure data handling, access controls, human oversight, and measurable business impact.

Build and operate an agentic SOC investigation platform using LLMs, including telemetry tools, investigation workflows, evidence-backed outputs, evaluation systems, and analyst productivity features. Develop secure, reliable, observable backend services that handle attacker-influenced data across customer environments. Collaborate with SOC analysts, researchers, technical leads, and product managers to translate investigative expertise into production agent behavior.

Lead full-stack development for Huntress’s SOC platform, building analyst-facing investigation, triage, remediation, queueing, and customer reporting experiences. Shape architecture, data models, interfaces, security practices, reliability, observability, and testing while mentoring engineers and partnering with Product, UX, and SOC stakeholders. The role emphasizes Ruby on Rails, modern frontend development, cloud infrastructure, relational databases, and technical leadership across complex cybersecurity software products.

Lead the technical vision and architectural evolution of Huntress’s Core Platform. Build complex Ruby on Rails features, solve scaling challenges, manage cross-team dependencies, drive architectural decisions, and oversee system lifecycle and technical risk. Mentor engineers, establish engineering excellence, collaborate with managers and product leaders, and help teams adopt AI coding tools responsibly.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Lead multiple platform engineering teams to build scalable, high-volume SaaS infrastructure for security products. Drive technical roadmap, SRE and developer-experience best practices, integrate AI tooling, hire and coach managers, measure engineering performance, and partner with product and architecture to deliver iterative customer value.