Cloudera

Full-stack Engineer

• Architect and drive the implementation of automated "on-ramps" for observability clients
• Establish and enforce the semantic conventions needed for telemetry data
• Develop and support high-performance interfaces and SDKs for clients
• Build the logic to stitch together disparate signals into a unified trace
• Work alongside engineering teams to turn architectural blueprints into production reality
• Serve as the "go-to" expert for observability

Principal Engineer – Observability Telemetry Client Infrastructure

• Help build the leading platform for AI/machine learning in the enterprise
• Design, and code elegant, scalable, enterprise-quality application services
• Advocate for the implementation of Engineering best practices and coding standards
• Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, as well as, Product Management, Field Engineering, and other external partners
• Work to enhance developer velocity and team agility

Staff Software Engineer – Enterprise AI

Program Manager

• Own the development and speaker coordination, topics and execution of enablement programs including Know This, Workshops and Office Hours in support of PMs, PMMs, Field Systems and Finance.
• Manage calendars and content review meetings with subject matter experts to support these events.
• Disseminate and communicate information to the sales organization via the appropriate channels.
• Write and edit the enablement newsletter weekly.
• Facilitate a corporate-wide learning culture through management of Highspot and other platforms as applicable.
• Partner with other program managers to continuously build and maintain a self-service learning track that allows the Cloudera field to continuously develop skills, knowledge and understanding of processes.
• Provide support, as needed, for all programs, including scheduling, vendor management, reporting and feedback.
• Must be able to project manage separate and distinct enablement requests and programs simultaneously.
• Develop content and programs for annual Sales Kick Off in collaboration with the lead team.
• Build strong internal champions across a variety of roles and LOBs.
• Be on the constant look-out to improve any and all enablement programs.

Field Enablement Program Manager

• Drive the multi-quarter technical roadmap and design large-scale OpenSearch clusters capable of handling petabytes of data with low-latency indexing and query performance
• Deeply integrate OpenSearch with CDP components to provide a unified search experience
• Lead efforts to optimize JVM settings, shard allocation strategies, and query DSL to ensure maximum throughput and stability
• Oversee the development of Kubernetes Operators and Helm charts for automated deployment, scaling, and self-healing of search services
• Define and champion best practices for security, observability, and enterprise-grade reliability
• Mentor senior and junior engineers on complex technical designs

Staff Software Engineer – OpenSearch

Sales

• Maintain and expand the customer base by leading account executives; building and maintaining rapport with key c-suite customer executives; identifying new customer and GTM opportunities.
• Recommend sales campaigns by identifying new product opportunities, and/or product, packaging, and service changes; surveying consumer needs and trends; tracking competitors.
• Implements trade promotions by publishing, tracking, and evaluating trade spending.
• Update job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks.
• Align with the company's strategic objectives, handle and grow revenue and market share at designated accounts to improve customer success at all levels in the customer organization.
• Develop and deliver business and account plans and customer success plans to address customer and prospect GTM strategies, business impact and value outcomes.
• Executive liaison to c-suite relationships and drive overall customer success for assigned accounts.
• Bring a repeatable GTM methodology capturing relationship based selling and coaching for the extended team, mentoring account executives and bringing best practices to peer teams.
• Lead large scale transactions to close large scale deals.
• Build pipeline, forecast business, lead the internal team, communicate key updates and competitive intelligence.
• Exceed quarterly and annual new and expansion software subscription, renewals, professional service and training business goals.

Regional Vice President of Sales

Backend Engineer

• Develop cross-product features to enable shared data experience for enterprise customers in various deployment settings (including multiple cloud providers - AWS/Azure/GCP).
• Design, code, and implement elegant, scalable, enterprise-quality software.
• Work iteratively in an Agile development environment
• Build strong relationships and collaborate with platform and UI engineers, quality engineers, and UX designers as well as with Product Management, Field Engineering, and other external partners.

Staff Software Engineer – Java

• Lead the design and architecture of complex, large-scale cloud services that form the backbone of our multi-cloud and hybrid data management platform
• Develop and implement core components, tackling challenges in areas like data governance, security, and distributed systems
• Drive technical innovation by prototyping and evaluating new technologies, cloud-native solutions to solve complex customer problems
• Mentor and guide other engineers, fostering a culture of technical excellence, collaboration, and continuous improvement within the team
• Collaborate with product managers and other engineering teams to design solutions and architecture to deliver high-quality, scalable, and resilient solutions

Staff Software Engineer, Backend

Engineering Manager

• Lead, coach, and scale a team of 6–10 elite engineers to forge a high-performance culture.
• Foster an environment of high accountability, psychological safety, and "extreme ownership" of our Tier-0 telemetry pipeline infrastructure.
• Review artifacts to ensure enterprise grade solutions that address current challenges and enable scalable telemetry platforms for future use for both SaaS and on-prem use cases.
• Partner with APAC, US and EMEA-based teams to ensure telemetry integration is a seamless, "self-service" experience for every internal Cloudera developer.
• Own the technical excellence of our metrics storage and ingestion interfaces.
• Ensure the reliability of the observability pipeline through rigorous on-call rotations and monitoring.
• Balance high-velocity innovation (85%) with disciplined maintenance of mission-critical legacy cloud infrastructure (15%), ensuring a sustainable on-call and release rhythm.

Engineering Manager – Observability

• Contribute to Scalable Solutions: Implement and test features for Cloudera’s Data Engineering Experience, assisting in the development of systems that operate at a massive scale on thousands of production nodes.
• Support Open-Source Innovation: Work with senior engineers to contribute to Apache Spark, learning how to shape the future of distributed data processing in the open-source community.
• Build with Modern Stacks: Develop high-performance features using Scala, Java, and Python on modern data platforms.
• Deepen Technical Mastery: Gain and apply knowledge in core distributed data processing concepts, including SQL Planners, Apache Parquet, and Iceberg.
• Address Large-Scale Challenges: Assist with developing and debugging features in massive distributed systems, learning about scaling from hundreds to thousands of nodes.
• Ensure System Integrity: Conduct thorough root cause analysis, debug system-level issues, and resolve failures to maintain high system quality.
• Enhance Engineering Velocity: Improve internal infrastructure and tooling to streamline development, testing, and deployment processes.
• Collaborate Effectively: Work closely within a distributed team and with stakeholders to drive product delivery.