Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob 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.
Role OverviewWe are seeking an experienced and technically strong Senior Engineering Manager to lead high-performing engineering teams building scalable, secure, and cloud-native data services. This leader will drive execution across distributed systems, data infrastructure, platform services, and cloud technologies while partnering closely with Product Management, Architecture, Support, and Customer teams.
The ideal candidate combines deep engineering leadership experience with strong technical acumen in large-scale data platforms, SaaS services, and modern software development practices.
Key ResponsibilitiesLead and grow multiple engineering teams delivering enterprise-grade data services and platform capabilities.
Drive execution for roadmap delivery, operational excellence, and engineering quality.
Partner with Product Management and Architecture teams to define technical strategy and priorities.
Build highly scalable, reliable, and secure distributed systems running across hybrid and multi-cloud environments.
Establish engineering best practices including CI/CD, observability, test automation, resiliency, and incident management.
Mentor and develop engineering managers, technical leads, and senior engineers.
Foster a strong engineering culture focused on accountability, innovation, collaboration, and inclusion.
Manage planning, staffing, performance management, and career development activities.
Collaborate cross-functionally with Support, Security, DevOps, and Customer Success organizations.
Drive operational metrics, service reliability, and customer satisfaction improvements.
Participate in architecture reviews and technical decision-making for core platform services.
10+ years of software engineering experience with 3–5+ years managing engineering teams.
Experience leading managers and geographically distributed engineering teams.
Strong background in distributed systems, cloud infrastructure, or data platforms.
Experience with technologies such as:
Kubernetes
Docker
Java / Scala / Python / Go
REST/gRPC APIs
Kafka, Spark, Hadoop, Iceberg, or related data technologies
AWS, Azure, or Google Cloud
Strong understanding of SaaS platform operations and reliability engineering.
Experience with Agile development methodologies and modern DevOps practices.
Excellent communication and stakeholder management skills.
Proven ability to deliver complex technical initiatives at scale.
Experience in enterprise data management, analytics, AI/ML, or data lakehouse technologies.
Experience managing platform modernization or cloud migration initiatives.
Familiarity with open-source ecosystems and enterprise software delivery.
Experience operating services with strict SLAs and compliance requirements.
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-NK1
Skills Required
- 10+ years of software engineering experience
- 3-5+ years managing engineering teams
- Experience leading managers and geographically distributed engineering teams
- Strong background in distributed systems, cloud infrastructure, or data platforms
- Experience with Kubernetes, Docker, Java, Scala, Python, Go, REST/gRPC APIs, Kafka, Spark, Hadoop, Iceberg, or related data technologies
- Experience with AWS, Azure, or Google Cloud
- Strong understanding of SaaS platform operations and reliability engineering
- Experience with Agile development methodologies and modern DevOps practices
- Excellent communication and stakeholder management skills
- Proven ability to deliver complex technical initiatives at scale
- Experience in enterprise data management, analytics, AI/ML, or data lakehouse technologies
- Experience managing platform modernization or cloud migration initiatives
- Familiarity with open-source ecosystems and enterprise software delivery
- Experience operating services with strict SLAs and compliance requirements
Cloudera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.
-
Fair & Transparent Compensation — Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
-
Healthcare Strength — Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
-
Leave & Time Off Breadth — Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.
Cloudera Insights
What We Do
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.
Why Work With Us
Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including







