Senior Software Engineer, Cloud Connectors

Business Area:

Seniority Level:

Job Description: 

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

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