Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Bitcoin @ 3
Blockchain @ 3
Communication @ 7
Distributed Systems @ 4
Engineering Management @ 7
Ethereum @ 3
Experimentation
GenAI
Generative AI @ 6
Leadership @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Coinbase's Data Platform team builds the foundations for storing, moving, managing, and using data at scale, including storage, streaming, data lakes, analytics, and experimentation. The Engineering Manager will lead a team developing reliable data services and privacy and governance capabilities that help teams use data responsibly.
Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for in-person working sessions called “surges.”
Responsibilities
- Lead, coach, and grow engineers while supporting their development and career progression.
- Partner with Product, Design, Engineering, and senior leaders to set a clear quarterly roadmap and deliver it iteratively.
- Guide technical decisions and promote high-quality code, sound engineering practices, and reliable distributed systems.
- Stay close to the work through design and code reviews, incident leadership, on-call participation, and troubleshooting when needed.
- Own processes that improve engineering quality and help the team meet its service-level commitments.
- Partner with recruiting to attract and hire strong engineers.
Requirements
- 7+ years of software engineering experience, ideally in data platform or infrastructure, including 2+ years in engineering management.
- Experience building, delivering, and operating distributed systems at scale.
- Strong engineering judgment and the ability to foster quality, maintainability, and effective development practices.
- An execution-focused approach, including the ability to work through ambiguity, balance near-term delivery with long-term planning, and turn complex goals into actionable work.
- A hands-on leadership style and willingness to engage in technical work and operational responsibilities.
- Experience leading technical change in a large, fast-moving organization.
- Familiarity with blockchain infrastructure, such as Bitcoin or Ethereum.
- Clear communication, ownership, and a strong customer focus.
- Responsible use of generative AI, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Compensation
The target annual base salary range, excluding equity and bonus, is ₹9,424,000–₹9,424,500 INR. Total compensation may also include equity, bonus eligibility, and medical, dental, and vision benefits.
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