Design and build backend services to enable AI and model inference on real-time streaming data. Own the end-to-end delivery of features, including design, stakeholder alignment, and production reliability.
Confluent
41 Remote Job Openings at Confluent
Drive proactive reliability improvements by analyzing systemic failure patterns and building automation to reduce incident toil. Lead the incident management program by coaching teams through post-mortems and serving as an escalation Incident Commander.
Lead and grow a high-performing engineering organization responsible for critical real-time analytics services and metrics infrastructure. Drive the strategic vision for scaling data volume while ensuring high availability and operational excellence.
The role involves empowering users to leverage Kafka and Flink on Confluent Cloud through one-on-one guidance and the creation of high-quality technical content. Responsibilities include developing code samples, hosting webinars, and collaborating with product teams to share best practices.
Define and drive the multi-year product strategy and roadmap for Apache Flink across Confluent Cloud and on-prem platforms. Identify new product opportunities in AI and data engineering while aligning stakeholders across engineering and GTM teams.
As a Staff Software Engineer I, you will technically lead the evolution of the Confluent Platform, focusing on hybrid-first management and operational capabilities. You will partner with product management and engineering leadership to define and execute the roadmap while mentoring senior engineers.
Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. Build and maintain multi-tenant, highly available infrastructure to power background computational tasks for Kora's storage.
Build and operationalize a highly available, scalable, and multi-tenant storage engine for the Kora managed service. Drive technical solutions end-to-end, focusing on quality, reliability, and troubleshooting complex technical stacks across three clouds.
The role involves driving the vision and strategy for Confluent's API platform to empower developers and operators through AI-ready interfaces. Key duties include defining roadmaps, governing API/CLI/TF interfaces, and measuring business outcomes through quantitative and qualitative targets.
Lead a team of engineers in building a serverless control plane for Confluent's managed Flink offering, focusing on the REST API, Gateway, and Kubernetes operators. Balance technical strategy and architectural excellence with the mentorship and growth of senior engineers into staff-level leaders.
Lead the IT organization across helpdesk, endpoint engineering, identity, and networking to ensure operational reliability. Modernize the IT operating model through automation and AI-assisted support while treating internal employees as customers.
Design, develop, and operate large-scale, high-performance infrastructure to power Confluent Cloud. Focus on improving reliability, scalability, and efficiency across multiple cloud providers including AWS, Azure, and GCP.
Lead the design and delivery of large-scale, distributed backend services for the Stream Governance product portfolio. You will architect cloud-native, multi-tenant services while providing technical leadership and mentoring to a high-performing engineering team.
Own the platform strategy and multi-year roadmap for Confluent Cloud Networking across AWS, Azure, and GCP. Partner with engineering leadership to define technical architecture and drive alignment across executive stakeholders.
Lead the Traffic Control-Plane team in managing a resilient, multi-cloud network orchestration layer for a global data streaming platform. Drive the technical vision, roadmap, and execution while mentoring managers and individual contributors.
Define and drive the strategy for internal agentic AI capabilities and automated decisioning systems to enhance R&D productivity. Lead the delivery of core agentic workflows while partnering across Engineering, Security, and IT to scale AI adoption.
Design, architect, and develop the compute layer of the Kora cloud-native event streaming platform. Focus on building highly available, secure, and scalable multi-tenant infrastructure to solve complex distributed systems problems.
Design, develop, and operate large-scale, high-performance infrastructure to power Confluent Cloud. Focus on improving reliability, scalability, and efficiency across multiple cloud providers using distributed systems challenges.
Own and iterate on Confluent's Product Development Lifecycle (PDLC) by treating internal processes as a product for PMs. Implement AI-driven workflows and standardize core frameworks like PRFAQs and PRDs to unify product rhythms.
Staff Product Manager, Real Time Data Analytics Platform
Confluent
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Full Time
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2 months ago
Confluent
Own the vision, strategy, and roadmap for Confluent's core streaming analytics engine, focusing on storage, materialization, and query performance. Partner with engineering and leadership to define a new product category that integrates streaming analytics and real-time OLAP into a cloud-native architecture.
You will architect and drive the technical roadmap for Confluent's observability features while mentoring a team of high-performing engineers. You will also collaborate with product management and engineering leadership to ensure operational excellence and scale for cloud and hybrid environments.
You will lead the product roadmap for cloud networking, focusing on reliability, scalability, and cost efficiency for Confluent Cloud services. This involves managing the full product lifecycle from conception to launch while collaborating with cross-functional teams to deliver high-quality user experiences.
Lead and grow a team of 6 to 10 engineers while driving the execution and technical roadmap for Confluent connectors. Collaborate with cross-functional teams to ensure reliability, scalability, and operational excellence across cloud environments.
Design, develop, and operationalize high-performance, scalable, and reliable systems for the Confluent Cloud network data plane. Lead cross-team initiatives to deliver complex software projects while ensuring system quality, observability, and resilience in production.
Architect and drive the technical strategy for the stream processing engine within Confluent Cloud. Lead complex engineering projects from inception to production while mentoring junior and mid-level engineers.
You will lead a multidisciplinary team to define and optimize the product-led growth strategy across the entire customer funnel. This includes driving experimentation, managing digital acquisition channels, and aligning product signals with sales engagement to maximize revenue.
You will lead a high-performance team of distributed systems engineers to manage a massive fleet of Kafka clusters across major cloud platforms. You are responsible for defining the technical vision, driving reliability and scalability initiatives, and fostering a culture of operational excellence.
The Senior Software Engineer II will take ownership of critical backend systems within Stream Governance products, leading the design and delivery of large-scale, distributed, multi-tenant services that must be secure and highly available across regions and clouds. Responsibilities include developing the cloud-native platform, owning end-to-end design and implementation of complex backend services, making key architecture decisions, and mentoring other engineers.
The Staff Software Engineer will act as a technical leader, driving complex projects across Kafka components like Clients, Streams, and Broker, while collaborating closely with the Apache Kafka community via KIPs and code contributions. Responsibilities include driving performance improvements, ensuring operational excellence, and mentoring the team on strong design principles and software architecture.
Senior Software Engineers II will own and lead the design and implementation of complex backend services and systems within a cloud-native, microservices environment, making critical architecture decisions. They will drive projects end-to-end, improve service reliability through SLOs/SLAs and observability, and mentor other engineers.
The role involves building mission-critical backend services, playing a crucial part in architecting, designing, developing, and operationalizing high-performance, scalable, and resilient services. Responsibilities also include designing and maintaining Kafka Connect connectors for database integration and ensuring operational readiness to meet customer SLAs.
The Senior Product Manager will drive the success of major product initiatives for Confluent Cloud Networking, focusing on making connectivity reliable, scalable, secure, cost-efficient, and simple to use. This involves defining the product roadmap, developing flexible interfaces (API, CLI, Terraform), and managing the entire product lifecycle from conception through iteration.
The role involves building mission-critical backend services, playing a crucial part in architecting, designing, developing, and operationalizing high-performance, scalable, and resilient services. Engineers will also design, develop, and maintain Kafka Connect connectors for integrating with various data sources like databases and data warehouses.
The role involves designing, implementing, and maintaining Golang infrastructure services, typically as Kubernetes operators, to deliver Confluent cloud foundations to the engineering organization. Responsibilities also include ensuring the availability, performance, monitoring, emergency response, and capacity planning for the Confluent cloud platform.
The role involves designing, implementing, and maintaining Golang infrastructure services, typically as Kubernetes operators, to deliver Confluent cloud foundations to the engineering organization. Responsibilities also include ensuring the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud.
The role involves driving the success of a major product initiative for Kafka Connect, from conception through growth strategy, by serving as the trusted resource for engineering, design, sales, and marketing teams. Responsibilities include enabling seamless, enterprise-grade integration between Kafka and external systems, supporting on-premise and cloud deployments, and introducing AI/ML capabilities.
This role involves defining the future of Cluster Linking, focusing on delivering seamless disaster recovery, building self-service migration paths into Confluent Cloud, and enabling cross-organization data sharing for real-time exchanges. Key tasks include launching initiatives like one-click DR, defining stream sharing security and scaling, and segmenting/packaging the product for different use cases like DR, migration, and data sharing.
The Staff Product Manager will define and own the product strategy and vision for the Cloud Kafka Operator, leading major product initiatives from conception through growth strategy. This involves collaborating across Engineering, UX/UI, Documentation, Support, and Field teams throughout the product lifecycle.
The engineer will be responsible for designing and implementing a distributed control plane used by product teams to manage the lifecycle of Confluent Cloud offerings. This involves provisioning infrastructure, deploying changes, and operating/supporting the code before and after release.
The Staff Security Engineer will define the long-term application security posture across on-premises products and cloud services, acting as a strategic partner to influence architectural direction and mitigate systemic risks. This role involves architecting and overseeing security automation and tooling to scale operations and drive consistent, high-quality security outcomes across the engineering organization.
As an Associate Technical Support Engineer, you will help customers resolve issues related to Confluent deployments and build strong relationships to ensure exemplary support. You will also communicate with engineering teams to provide product feedback and contribute to documentation and knowledge base articles.
