Top Tech Jobs & Startup Jobs in Boston, MA

Leads complex cybersecurity incident investigations across cloud and on-premises environments. Directs investigative priorities, coordinates threat hunters and technical specialists, communicates findings and response recommendations to executive customers, and balances containment with recovery and evidence preservation. Conducts threat research, develops analytical automation, improves data quality, mentors colleagues, and contributes to technical publications and presentations.

Develops global strategic contracting and commercial models for EPC delivery, translating design and construction requirements into partner-focused structures. Collaborates with legal, finance, audit, and external suppliers to secure capacity, enable early contractor involvement, accelerate funding, and protect business interests. Leads risk management, process improvement, data analysis, supplier performance, supply chain coordination, compliance, and stakeholder alignment across complex programs.

Leads global sourcing, procurement, supplier management, and supply chain strategies for complex construction and infrastructure programs. Negotiates contracts, manages RFI/RFP processes, secures supplier capacity, monitors performance, analyzes program data, improves processes, manages cross-functional projects, and mitigates operational risks. Partners with regional and global stakeholders, construction providers, and suppliers to optimize costs, capacity, execution, and speed to market.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Lead strategic Windows and endpoint engagements with senior IT executives to defend and expand Windows adoption. Modernize endpoint management, identity, and device strategies; orchestrate partners and internal teams to deliver proofs, case studies, and repeatable outcomes that demonstrate Windows AI, security, and management value.

Designs and implements cloud security solutions for Microsoft Azure and Microsoft 365 customers. Leads security architecture discussions, Zero Trust adoption, technical evaluations, implementation planning, troubleshooting, and enterprise security strategy. Advises executives and technical stakeholders on identity and access management, threat protection, cloud security, information protection, and secure-by-design architectures. Collaborates with Microsoft engineering, product, and security teams to remove blockers and orchestrates technical resources to deliver customer outcomes.

Customer-embedded principal data scientist who leads technical delivery for strategic accounts, builds production-grade solutions, translates business needs into technical approaches, influences senior stakeholders, and transitions work to FDE teams while operating in ambiguous, fast-paced environments.

Leads the business operations of Microsoft's Forward Deployed Engineering portfolio. Establishes program strategy, prioritization, operating cadences, quality standards, metrics, and stakeholder alignment across engineering, partners, field teams, and customers. Oversees project milestones, risks, portfolio hygiene, cost-benefit analysis, ROI measurement, customer outcomes, closeout processes, and organizational change through AI-enabled capabilities.

Serve as a customer-embedded technical leader aligned to a strategic account, driving business outcomes by building and shipping production-grade solutions, translating business needs into technical approaches, influencing senior stakeholders, preparing transitions to FDE crews, and operating with speed and entrepreneurial ownership in ambiguous, customer-facing environments.

Leads development of distributed AI infrastructure for large-scale reinforcement learning and LLM post-training. Designs scalable, resilient systems; optimizes model, hardware, and inference performance; improves developer tooling and engineering practices; mentors engineers; and supports production services through reliability engineering, incident response, telemetry, and on-call operations.