Top Tech Jobs & Startup Jobs in Boston, MA

Design, build, and operate scalable cloud backend services that power LLM-based features (inference, RAG, agents, evals). Own end-to-end delivery including Terraform, CI/CD, monitoring, and incident response. Collaborate with product, UX, and platform teams and apply AI-assisted development practices daily.

Own reliability, availability, performance, and capacity for production SaaS services across Azure, AWS, and a FedRAMP High environment. Build observability, SLOs, monitoring, infrastructure automation, and remediation workflows; lead incident response, postmortems, support escalations, and disaster recovery efforts. Manage Terraform, CI/CD, Kubernetes, WAF, networking, and observability costs while improving on-call operations and collaborating with Security, Product, Support, and Development.

Designs, secures, and operates scalable Azure infrastructure hosting global SaaS products. Responsibilities include cloud-native architecture, Kubernetes platform operations, reliability and observability, SLO ownership, capacity planning, cost optimization, compliance with FedRAMP and other standards, infrastructure-as-code, CI/CD, progressive delivery, automation, and self-service tooling. The role also leads design reviews, resolves complex platform incidents, and collaborates with technical and non-technical stakeholders.

Own Delinea’s platform narrative, product messaging, competitive positioning, naming, analyst relations, and sales enablement across AI, workforce, and workload identity business units. Lead the product marketing practice through standards, hiring, coaching, and cross-functional governance. Develop cybersecurity and identity market positioning, integrate acquired products, guide competitive intelligence, and influence roadmap and pricing decisions through buyer, win-loss, and analyst insights.

Owns net-new sales into strategic accounts with annual revenue exceeding $20 billion. Responsibilities include prospecting, leading complex enterprise sales cycles, engaging C-level stakeholders, managing pipelines and forecasts, negotiating contracts, exceeding quotas, developing account strategies, and collaborating with marketing, sales, channel, and alliance teams. The remote role requires travel of up to 50% for customer visits, field events, and internal meetings.

Lead a hands-on Site Reliability Engineering and DevOps team supporting production SaaS environments across Azure and AWS. Own availability, observability, automation, incident response, on-call operations, disaster recovery, and reliability improvements. Manage employees and contractors, coordinate Sev1 and Sev2 incidents, improve monitoring and deployment practices, report operational health, and expand support for FedRAMP High and other regulated environments.

Manages software engineers and integration specialists building, deploying, and operating Fastpath Access Governance services. Owns the technical roadmap, delivery, quality, architecture, and operational health of cloud-native services. Partners with product, UX, and architecture teams in Scrum, drives AI-assisted engineering practices, oversees ERP and business application integrations, and develops a supportive, high-performing engineering culture.

Owns net-new enterprise sales to Intelligence Community federal agencies. Responsibilities include territory planning, agency prospecting, lead development, technical collaboration, quota attainment, pipeline forecasting, partner management, and transactions through federal contract vehicles. The role requires managing complex, multi-stakeholder sales cycles, presenting to executive and technical audiences, and closing six-figure cybersecurity transactions. It is remote but requires 30–40% travel and an active TS/SCI clearance with a CI or full-scope polygraph.

Drive zero-to-one AI product development focused on identity security, authorization, and privileged access. Translate market trends into features, own initiatives from discovery through launch, conduct research with security stakeholders, and collaborate across engineering, design, sales, marketing, and customer success. The role requires understanding IAM, PAM, IGA, enterprise security, AI/ML concepts, agent-enabled systems, compliance, privacy, and scalable product delivery.

Build AI agent discovery across Azure, endpoints, and future AWS and Google Cloud environments. Assess agent configurations, access, and security risks, then integrate findings with Delinea’s identity and attribution platform for governance. Extend existing discovery services, collaborate with platform teams, and solve complex backend engineering problems using cloud APIs and modern backend languages.