Cloudera Logo

Cloudera

Staff Software Engineer - Cloudera Context Search Team

Reposted 6 Days Ago
In-Office or Remote
3 Locations
184K-230K Annually
Senior level
In-Office or Remote
3 Locations
184K-230K Annually
Senior level
As a Staff Engineer for Cloudera's Context Search Team, you will lead technical design, platform integration, and optimization of search infrastructure while mentoring junior engineers and contributing to the OpenSearch community.
The summary above was generated by AI

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

As a Staff Engineer on the Cloudera Context Search Team, you will be a key technical leader and architect for the search heartbeat of the Cloudera Data Platform (CDP). You will drive the technical vision and strategic evolution of high-performance, scalable, and secure search infrastructure that powers data discovery, observability, and analytics for the world’s largest enterprises.

As a Staff Engineer, you will:

  • Architectural Leadership: 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.

  • Platform Integration: Deeply integrate OpenSearch with CDP components (e.g., Apache Iceberg, SDX, and Ozone) to provide a unified search experience across the data lakehouse.

  • Performance Optimization: Lead efforts to optimize JVM settings, shard allocation strategies, and query DSL to ensure maximum throughput and stability.

  • Cloud Native Operations: Oversee the development of Kubernetes Operators and Helm charts for automated deployment, scaling, and self-healing of search services.

  • Engineering Excellence: Define and champion best practices for security (RBAC, TLS), observability, and enterprise-grade reliability.

  • Mentorship & Influence: Mentor senior and junior engineers on complex technical designs and foster a culture of continuous improvement across the organization.

  • Community Contribution: Act as a primary liaison and influencer within the upstream OpenSearch community, aligning their roadmap with product strategy.

We are excited about you if you have:

  • Bachelor’s degree in Computer Science or equivalent, and 6+ years of experience; OR Master’s degree and 4-6 years of experience; OR PhD and 2-4 years of experience

  • 6+ years of experience working with OpenSearch or Elasticsearch in production environments at scale.

  • Distributed Systems: Deep understanding of consensus algorithms, CAP theorem, replication, and sharding.

  • Programming: Mastery of Java (for core development) and proficiency in Go or Python for automation and tooling.

  • Infrastructure: Extensive experience with Kubernetes (K8s) and container orchestration.

  • Cloud Platforms: Hands-on experience deploying search workloads on AWS (EKS/AOSS), Azure (AKS), or Google Cloud (GKE).

You might also have:

  • Experience with Lucene internals (segment merging, bitsets, and codecs).

  • Knowledge of Vector Database capabilities within OpenSearch for Generative AI (RAG) use cases.

  • History of contributing to open-source projects (Apache Software Foundation or OpenSearch Project).

Why this role matters: 

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

 Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.


The expected base salary range for this role in

  • California and Washington is $184,000 - $230,000

The salary will vary depending on your job-related skills, experience and location
 

This role is not eligible for immigration sponsorship.

What you can expect from us:

  • Generous PTO Policy 

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy 

  • Mental & Physical Wellness programs 

  • Phone and Internet Reimbursement program 

  • Access to Continued Career Development 

  • Comprehensive Benefits and Competitive Packages 

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-Remote

#LI-SZ1

HQ

Cloudera Palo Alto, California, USA Office

395 Page Mill Rd, Palo Alto, CA, United States, 94304

Cloudera San Francisco, California, USA Office

525 Market St, San Francisco, CA, United States, 94105

Similar Jobs

An Hour Ago
Remote or Hybrid
212K-244K Annually
Senior level
212K-244K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Anthropic Alliance Manager at PwC focuses on building partnerships, driving revenue growth, and executing marketing strategies to enhance brand visibility and client engagement. Responsibilities include relationship management, strategic planning, and team leadership to deliver on client expectations and organizational goals.
Top Skills: Microsoft Office SuiteSalesforce
An Hour Ago
Remote or Hybrid
6 Locations
150K-438K Annually
Senior level
150K-438K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead global information reporting tax engagements, ensure compliance, analyze financial data, develop tax strategies, drive business development, mentor teams, build executive client relationships, and promote tax technology and thought leadership across the PwC network.
3 Hours Ago
Remote
United States
74K-84K Annually
Mid level
74K-84K Annually
Mid level
Information Technology • Software • Cybersecurity
Execute demand generation campaigns including end-to-end email marketing in HubSpot, webinar setup and execution, digital marketing support, campaign reporting, and cross-team coordination to deliver timely, measurable marketing programs.
Top Skills: A/B TestingClaudeGoogle AdsGoogle Drive (SlidesHubspotHubspot AiJasperLinkedin Campaign ManagerMonday.ComOn24Payload CmsSalesforceSeoSheets)Utm TrackingZoom Webinars

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account