Senior Software Engineer, Cloud Connectors (Java)

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Big Data • Software • Analytics
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 Time off includes generous PTO and holidays plus recurring company‑wide Unplugged Days that provide regular recharge time. Volunteer time off and flexible scheduling options further expand usable leave.
  • Healthcare Strength Health coverage spans comprehensive medical, dental, and vision alongside EAP, wellness sessions, and U.S. gym reimbursement. These elements position healthcare as a strong anchor within the package.
  • Strong & Reliable Incentives Compensation often includes variable incentives and long‑term incentive programs with annual bonuses commonly offered. Sales and other revenue roles show competitive on‑target earnings when goals are met, reinforcing the incentive structure.

Cloudera Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Palo Alot, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,

Similar Jobs

Easy Apply
Remote
37 Locations
55 Employees
140K-178K Annually

CodePath.org Logo CodePath.org

Senior Product Designer

Edtech • Social Impact
Easy Apply
Remote
37 Locations
55 Employees
148K-190K Annually

Pfizer Logo Pfizer

Senior Director, CFC CRM Lifecycle & Value Lead

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Remote or Hybrid
32 Locations
121990 Employees
215K-358K Annually

GitLab Logo GitLab

Marketing Manager

Cloud • Security • Software • Cybersecurity • Automation
Easy Apply
Remote
27 Locations
2500 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account