Responsibilities
- Architecting, building and developing large-scale infrastructure, distribute systems and networks;
training other teams on these systems
- Researching and developing new technologies in large scale decentralized computer and web3
systems; integrating with core systems
- Applying expertise with data structures or algorithms in an academic setting to create core
abstractions for 100s of thousands of users and 100s of millions of square miles of data
- Working closely with operations, product development, and other engineering teams to deliver
data-intensive cross-functional platform solutions
- Building auditable and observable systems that can robustly handle billions of video frames each
day
- Helping to foster engineering excellence across backend development
Qualifications
- Master's degree in Computer Science, Software Engineering, or a closely related field or foreign
equivalent
- 2 years (24 months) of experience with each of the following:
- Building scalable, fault-tolerant, and high-performance distributed systems; infrastructure
automation and optimization.
- Advanced data structures, indexing, partitioning, replication, horizontal scaling, and fault
tolerance.
- Translating business needs into technical solutions, mentoring engineering teams, and
fostering technical excellence.
- Implementing logging, monitoring, tracing, audit trails, and data compliance processes.
- Tools and technologies: Docker, Terraform, Apache Spark, Hadoop, PostgreSQL/PostGIS, Redis, Prometheus, Grafana, Git, AWS Lambda, AWS ECS, AWS Fargate, AWS EC2, AWS EMR, AWS Glue, AWS S3, and Node.js.
- Programming languages: Rust, Python, SQL/NoSQL, JavaScript, and TypeScript.
-Experience may be gained concurrently and may have been gained pre-, during, or post-master's
degree.
$220,000 - $220,000 a year
How to apply: Email resume to jobs@hivemapper.com w/subject line 882262.
