Senior Infrastructure Engineer - AI & Cloud Focus
About the Role
We are seeking a Senior Infrastructure Engineer to join our innovative team at Aaru. In this Senior Infrastructure Engineer remote position, you will play a crucial role in scaling our computational needs and enhancing the performance of our systems. As part of a small, dedicated team, you will have the opportunity to make a significant impact in the field of artificial intelligence and cloud technology.
What You'll Do
- Design and build high-performance and low-latency infrastructure systems to enable Aaru’s engineering organization.
- Optimize and manage reliability for complex data ingestion pipelines from diverse sources.
- Identify inefficiencies or issues in our system design that can be solved through infrastructure improvements.
- Collaborate with the infrastructure team to architect and implement robust solutions.
- Work closely with research teams to transition experiments into production pipelines.
Requirements
- Experience building applications or frameworks that large engineering teams love to use.
- Deep care for performance, developer experience, and reliability.
- Hands-on experience solving engineering problems at the infrastructure level.
- Familiarity with languages that have an algebraic type system.
- Practical experience with networking protocols and their limitations.
Nice to Have
- Strong experience with cloud primitives.
- Understanding of networking protocols (HTTP, TLS, etc.).
- Experience establishing a culture focused on identifying and eliminating bottlenecks in computational pipelines.
What We Offer
- Competitive base salary ranging from $200K to $440K.
- Equity participation to share in our success.
- Comprehensive medical, vision, and dental coverage.
- Visa sponsorship and relocation support.
- A dynamic work environment with a mission-driven team.
This Senior Infrastructure Engineer role at Aaru offers a unique opportunity to work on cutting-edge AI and cloud technologies with a competitive salary and relocation support.
Who Will Succeed Here
Proficient in cloud technologies such as AWS, Azure, or Google Cloud Platform, with hands-on experience in deploying and managing scalable infrastructure solutions for AI workloads.
Strong understanding of networking protocols (TCP/IP, HTTP, DNS) and experience optimizing data ingestion pipelines to ensure efficient data flow and system performance in a hybrid work environment.
A mindset geared towards continuous improvement and learning, with a focus on performance optimization techniques and the ability to adapt to rapidly evolving technologies in AI and cloud infrastructure.
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