DremioDR

Senior Software Engineer - Build & Release

Dremio Corporation provides an open data lakehouse platform that enables self-service analytics with data warehouse functionality and data lake flexibility, built on open source technologies like Apache Iceberg and Apache Arrow.

Dremio

Employee count: 201-500

Portugal only

Be Part of Building the Future

Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost. Learn more at www.dremio.com.

About the role

In this role you will work on the Dremio build systems and get opportunities to design and implement CI/CD systems and developer productivity solutions. The primary focus of this role is our Maven, Bazel and Gradle build step in the CI system. You will be responsible for analyzing software engineering practices, identifying areas of improvement, and implementing changes to increase efficiency and effectiveness across the organization.

Bring your industry experience to improve the efficiency and scale of Dremio’s infrastructure via innovation on tooling and methodologies. You should have empathy for developers, passion for engineering productivity, and experience delivering scalable distributed systems.

What you’ll be doing

  • Design, implement, and maintain build systems: This is the heart of the role. It includes selecting appropriate tools (like Maven, Bazel, and Gradle), configuring them, and ensuring they work efficiently.
  • Automate the build process: Creating scripts and workflows to compile, link, package, and deploy software automatically, reducing manual intervention and errors.
  • Optimize build performance: Identifying bottlenecks and improving build times through techniques like caching, parallelization, and dependency management.
  • Manage build artifacts: Storing and managing the output of the build process (executables, libraries, etc.) using artifact repositories (like Artifactory, Nexus).
  • Actively participate in code and design reviews to maintain exceptional quality and deepen your understanding of the system architecture and implementation
  • Troubleshooting and debugging build issues: Diagnosing and resolving problems that arise during the build process.
  • On call responsibilities: You will be part of an on-call rotation to support pre-production issues that are escalated to the DevOps team

What we’re looking for

  • B.S. or M.S in Computer Science or in a related technical field
  • 6+ years of experience on large scale distributed systems
  • Experience with at least one cloud infrastructure: AWS, Azure, GCP
  • Deep expertise with Bazel, Maven and the JVM toolchain
  • Experience with Terraform, BASH, Docker, Jenkins, and Kubernetes
  • Strong understanding of cloud networking and cloud architecture.
  • Passion for optimization and analyzing complex challenges and intricate details of various compilers and programming languages
  • Experience in the Linux shell
  • Programming proficiency with at least one language: Python, Java, C++
  • Experience writing/improving documentation
  • Experience delivering software at scale and maintaining operations excellence
  • Experience in Infrastructure as Code
  • Drive design decisions with the ability to derive meaningful insights from the collected data, and articulate findings effectively
  • Passion for learning and then delivering solutions using latest technologies
  • Strong affinity for collaboration and teamwork

Bonus points if you have

  • Working knowledge in data lakes and data warehousing
  • Proficiency with SQL

Return to Office Philosophy

Workplace Wednesdays - to break down silos, build relationships and improve cross-team communication. Lunch catering / meal credits provided in the office and local socials align to Workplace Wednesdays. In general, Dremio will remain a hybrid work environment. We will not be implementing a 100% (5 days a week) return to office policy for all roles.

What we value

At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.

Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.

Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice.

Important Security Notice for Candidates

At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here.

Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

Portugal +/- 0 hours

About Dremio

Learn more about Dremio and their company culture.

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Dremio Corporation is a software company that provides an open and easy-to-use data lakehouse platform. Founded in 2015 by Tomer Shiran and Jacques Nadeau, Dremio aims to revolutionize data analytics by delivering data warehouse functionality with data lake flexibility. The company is headquartered in Santa Clara, California, and serves hundreds of global enterprises, including prominent names like Maersk, Amazon, Regeneron, NetApp, S&P Global, Shell, TD Bank, Michelin, and Farmer's Insurance. Dremio's platform empowers organizations to run mission-critical business intelligence (BI) and data science workloads directly on their data lake storage, such as Amazon S3 and Azure Data Lake Storage (ADLS).

Dremio's core technology is built upon open source standards, including Apache Iceberg and Apache Arrow, of which Dremio was a co-creator. This open architecture is designed to provide platform flexibility, prevent vendor lock-in, and enable community-driven innovation. The Dremio Unified Lakehouse Platform simplifies data architectures by eliminating the need for complex ETL (Extract, Transform, Load) processes and data movement to proprietary data warehouses. It offers a self-service semantic layer, allowing data consumers to easily discover, curate, and analyze data using their preferred tools like SQL, Python, R, Tableau, and Power BI. Key capabilities of the platform include a high-performance SQL query engine, data virtualization, data mesh enablement, and support for AI and machine learning initiatives. Dremio's solutions cater to various use cases, such as data warehouse migration, unified data access, and Hadoop migration. The company emphasizes accelerating time to insight, improving data team productivity, and reducing infrastructure costs for its customers. Dremio has introduced innovative features like generative AI capabilities for streamlined data discovery and analysis, a hybrid data catalog for Apache Iceberg, and Autonomous Reflections for sub-second query performance.

Employee benefits

Learn about the employee benefits and perks provided at Dremio.

View benefits

Provident Fund

Provident Fund benefit.

Unlimited vacation

Unlimited vacation policy.

Group term life insurance

Group term life insurance.

Employee Gratuity Benefits

Employee Gratuity Benefits.

View Dremio's employee benefits
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