Senior Software Engineer, Cloud Connectors (Java)

Posted 24 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Big Data • Software • Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
Design, implement, and maintain cloud connectors integrating Cloudera's platform with AWS, Azure, GCP. Build scalable data ingestion and synchronization code, lead architecture and design, mentor engineers, perform code reviews, troubleshoot production issues, and document APIs and designs.
Summary Generated by Built In

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. 

We are seeking an experienced Senior Software Engineer to join Cloudera's Cloud Connector Engineering team. In this role, you will design, develop, and maintain cloud connector solutions that enable seamless integration between Cloudera's data platform and various cloud providers and services. You will work on scalable, high-performance solutions that power data integration across hybrid and multi-cloud environments.

As a Senior Software Engineer you will:

  • Design and implement cloud connectors that integrate Cloudera's platform with AWS, Azure, GCP, and other cloud services.

  • Develop robust, well-tested code for data ingestion, movement, and synchronization across cloud platforms.

  • Lead technical design discussions and contribute architectural decisions for connector frameworks and infrastructure.

  • Collaborate with product, architecture, and infrastructure teams to define requirements and specifications.

  • Mentor junior engineers and provide technical guidance on best practices and design patterns.

  • Participate in code reviews, establish coding standards, and drive continuous improvement in code quality.

  • Troubleshoot complex issues in production environments and implement scalable solutions.

  • Document technical designs, APIs, and implementation details for internal and external audiences.

  • Stay current with cloud platform updates, emerging technologies, and industry best practices

Required Qualifications:

  • Bsc/Msc in related field or equivalent experience

  • 5+ years of software engineering experience with a focus on cloud platforms or distributed systems

  • Strong proficiency in Java, Python, or Go (one or more)

  • Demonstrated experience developing cloud connectors, integrations, or middleware solutions

  • Reasonable understanding of cloud platforms (AWS, Azure, or GCP) and their services (storage, compute, networking)

  • Experience with data processing frameworks and large-scale data movement

  • Solid understanding of API design, REST, gRPC, and message protocols

  • Proven ability to design and implement scalable, maintainable software solutions

  • Excellent problem-solving skills and attention to detail

  • Strong written and verbal communication skills

  • Experience working in agile environments

Preferred Qualifications:

  • Experience with Apache Hadoop, Spark, or other big data technologies

  • Familiarity with Kubernetes, Docker, or container orchestration

  • Background in cloud-native application development

  • Experience with CI/CD pipelines and infrastructure automation

  • Contributions to open-source projects

  • Knowledge of data governance, security, and compliance in cloud environments

  • Experience with monitoring, logging, and observability tools

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.

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-VG1

#LI-HYBRID

Skills Required

  • BSc/MSc in related field or equivalent experience
  • 5+ years of software engineering experience with focus on cloud platforms or distributed systems
  • Strong proficiency in Java, Python, or Go
  • Experience developing cloud connectors, integrations, or middleware solutions
  • Understanding of cloud platforms (AWS, Azure, or GCP) and their services (storage, compute, networking)
  • Experience with data processing frameworks and large-scale data movement
  • Solid understanding of API design, REST, gRPC, and message protocols
  • Proven ability to design and implement scalable, maintainable software solutions
  • Excellent problem-solving skills and attention to detail
  • Strong written and verbal communication skills
  • Experience working in agile environments
  • Experience with Apache Hadoop, Spark, or other big data technologies
  • Familiarity with Kubernetes, Docker, or container orchestration
  • Background in cloud-native application development
  • Experience with CI/CD pipelines and infrastructure automation
  • Contributions to open-source projects
  • Knowledge of data governance, security, and compliance in cloud environments
  • Experience with monitoring, logging, and observability tools

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.

  • Leave & Time Off Breadth Unplugged Days provide recurring company‑wide extra days off in addition to generous PTO and holidays, creating predictable recharge time. Time away is a prominent part of the package and is consistently emphasized alongside regular leave options.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with life and disability insurance, an EAP, and wellness programming. Added lifestyle support includes gym reimbursement in the U.S. and health checkups in some locations.
  • Fair & Transparent Compensation The company emphasizes equitable compensation and maintains a Fair Pay Workplace certification. Pay is described as competitive for many technical and go‑to‑market roles, aligning with this stance.

Cloudera Insights

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

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

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