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. Role Overview We 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
Responsibilities Lead 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. Required
Qualifications 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. Preferred
Qualifications 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 It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at [email protected]. EEO/VEVRAA If you need assistance with applying for a position, please email our office at [email protected].
Verta builds software infrastructure to help enterprise data science and machine learning (ML) teams develop and deploy ML models. Verta enables anyone to streamline your data science and ML workflows and deploy models into production faster while ensuring real-time model health.
Location
Bengaluru, Karnataka
Total raised
$11.7M
Last stage
Series A
Investors
Conrado Miranda
Co-founder and CTO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.