Top Tech Jobs & Startup Jobs in Boston, MA

The Senior Software Engineer II will design and develop cloud-native backend systems for Stream Governance, mentor engineers, and solve complex data challenges in a team-focused environment.

The Staff Product Manager will own and drive the Flink Cloud Platform's product roadmap, focusing on enterprise-grade capabilities and customer adoption, while collaborating with engineering and field teams.

The role involves building and managing network data planes for Confluent Cloud, focusing on high performance, scalability, and reliability of systems. Responsibilities include software project execution, troubleshooting, and enhancing operational processes in a cloud environment.

Lead the Cloud Networking Product team to enhance the connectivity of Confluent Cloud. Responsibilities include product lifecycle management, user analysis, and collaboration across teams to ensure successful product initiatives.

As a Staff Engineer, you will enhance Flink SQL components, ensuring efficient stream processing and contributing to Open Source Apache Flink. Responsibilities include design, code quality, mentoring, and industry engagement.

The Senior Product Manager will oversee cloud networking initiatives, ensuring user-friendly connectivity in Confluent Cloud, and manage product lifecycle from conception to launch, focusing on usability and cost efficiency.

As a Staff Product Manager at Confluent, you'll lead major product initiatives, ensure effective communication across teams, and enhance the product strategy for Kafka Connect, aiming for successful enterprise-grade integrations.

The Senior Software Engineer II will lead the Compute Platform team, focusing on multi-tenant, cloud-native systems, Kubernetes orchestration, security, and API design, while delivering scalable solutions and mentoring other engineers.

Lead a 6-8 engineer team building the Secure Compute Platform across AWS, Azure, and GCP. Own roadmap, architecture, and execution for isolation, identity, networking, container runtimes and Kubernetes. Drive reliability, observability, platform adoption, cross-team partnerships, hiring, mentorship, and adoption of AI-driven tools to scale secure, multi-tenant distributed systems.

The AI Architect will design and implement AI tools, develop secure integration layers, and oversee cloud deployment and governance of AI systems, working collaboratively with internal stakeholders to address technical needs.