Top Tech Jobs & Startup Jobs in Boston, MA

As a Lead Platform Engineer, you will develop solutions on Workday for HR, improve data quality, and lead integration teams. Collaborate with stakeholders to ensure cohesive system configurations and optimize business processes using Agile methodologies.

Lead and grow multiple software, data, and platform engineering teams to build scalable, cloud-native data infrastructure, analytics engines, and ML-enabled pipelines. Partner with product and data science, elevate engineering practices, and deploy resilient AWS-based solutions using modern data technologies and CI/CD.

Lead and grow a full-stack engineering team delivering cloud-native, microservices-based risk management solutions. Collaborate with product managers, mentor engineers, oversee architecture and delivery, and occasionally contribute code. Drive adoption of modern cloud, container, and AI/ML technologies to build scalable, compliant systems.

Lead and manage a team delivering full-stack, cloud-based microservices solutions for risk management. Collaborate with product managers, mentor engineers, evaluate and occasionally write code, and drive adoption of modern tech (cloud, containers, databases, AI tooling) to meet regulatory and business needs.

Lead design, build, deploy, and support scalable, responsible AI systems (foundation model training, LLM inference, similarity search, guardrails, observability). Collaborate with cross-functional teams, optimize model performance and cost, and shape technical vision and roadmap for foundational AI platform services.

Drive applied research to build and deploy AI foundation models end-to-end. Partner with cross-functional teams to design, train, evaluate, validate, and implement large-scale models using open-source tools and cloud infrastructure. Mentor scientists, translate research into business goals, and publish/represent Capital One in the research community.

Lead a team of Product Managers building financial forecasting platforms for the CFO organization. Define product strategy, governance, and roadmaps; partner with Finance, Data, and Technology; embed with stakeholders to translate needs into prioritized outcomes; mentor product teams and represent portfolio strategy to senior leadership.

Lead an Agile team to design, build, deploy, and maintain production-scale ML models and pipelines. Drive ML architecture, model training, CI/CD, monitoring, and cloud/Kubernetes-based deployments while ensuring responsible, explainable, and well-governed ML solutions.

Lead a cross-organizational program to transition engineering to an AI-driven, self-optimizing ecosystem with robust telemetry and evaluation. Orchestrate strategy and execution, mitigate technical risk, build and grow a TPM practice, align product/engineering/design/data science, and deliver measurable business impact.

Lead technology projects and a team to design and deliver cloud-based, full-stack and back-end microservices solutions. Collaborate with product managers, mentor engineers, adopt new technologies, and ensure scalable experiences using containers, orchestration, databases, and cloud services.