Senior Software Engineer
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Job Description
Senior Software Engineer - Remote
About lakeFS
lakeFS is an open-source project revolutionizing data lake management by providing a version control layer on top of object storage. We empower data engineers to manage their data lakes securely with features like branching, committing, merging, and pre-commit/merge hooks.
About the Role
We are seeking a passionate and experienced Senior Software Engineer to join our growing team. You will play a key role in developing and maintaining the core functionalities of lakeFS, contributing to its ongoing success and expanding its capabilities.
Responsibilities:
- Design, develop, and implement new features for lakeFS.
- Contribute to the existing codebase, ensuring high code quality and maintainability.
- Collaborate with the team on architectural decisions and technical challenges.
- Participate in code reviews and contribute to the overall improvement of the project.
- Stay up-to-date with the latest technologies and trends in data management.
Qualifications:
- Proven experience as a Software Engineer with a strong understanding of software development principles.
- Experience with object storage systems (e.g., S3, Azure Blob Storage) is a plus.
- Familiarity with version control systems (e.g., Git) and agile development methodologies.
- Excellent communication and collaboration skills.
Qualifications
Required:
- 5+ years of experience in software development with a strong understanding of object storage concepts and distributed systems.
- Proficiency in Go programming language and experience with building RESTful APIs.
- Experience with Git and version control systems, including branching, merging, and conflict resolution.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving and debugging skills.
- Strong communication and collaboration skills.
Preferred:
- Experience with data lake technologies and data management tools.
- Contributions to open-source projects.
- Knowledge of security best practices for data storage and access control.
Key Responsibilities
Software Development:
- Design, develop, and maintain core components of the lakeFS platform, ensuring high performance, scalability, and reliability.
- Implement new features and functionalities based on community feedback and evolving industry standards.
- Write clean, well-documented, and testable code adhering to best practices and coding standards.
Collaboration & Support:
- Actively participate in code reviews, design discussions, and technical documentation.
- Collaborate with the open-source community, addressing user issues, and contributing to the project's growth.
- Stay abreast of emerging technologies and trends in data management and version control.
Selection Process
lakeFS Senior Software Engineer Hiring Workflow
1. Application Review: Candidates submit resumes and cover letters through the job portal. The AI-powered system screens applications based on keywords, skills, and experience matching the job description.
2. Technical Assessment: Shortlisted candidates complete a coding challenge designed to evaluate their proficiency in relevant technologies (e.g., Go, Python, cloud platforms).
3. Phone Screening: Successful candidates participate in a phone interview with a recruiter to discuss their experience, motivations, and cultural fit with lakeFS.
4. Technical Interview: Top candidates engage in a technical interview with a senior engineer, delving deeper into their technical skills and problem-solving abilities.
5. Culture Fit Interview: Finalists participate in a culture fit interview with a team member to assess their alignment with lakeFS's values and collaborative work environment.
6. Offer & Onboarding: The chosen candidate receives a formal offer and embarks on a comprehensive onboarding process to integrate seamlessly into the team.
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Important Note
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About lakeFS
About lakeFS
lakeFS is revolutionizing data lake management with its innovative open-source platform. We provide a powerful layer of object storage manageability, empowering data engineers with version control capabilities like branching, committing, merging, and pre-commit/merge hooks.
This allows for secure and efficient data lake management, fostering collaboration and reproducibility. lakeFS is committed to building a transparent and community-driven ecosystem, fostering innovation and empowering data professionals worldwide.
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