We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications.
You will be responsible for building API interfaces (for customers, UI team, etc). You will be responsible for building a high-performance queuing / storage engine.
You will collaborate with UI, connectivity, and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.
You will also be responsible to :
Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high availability-and performance
Contribute in all phases of the development lifecycle
Write well-designed, testable, efficient code
Evaluate and propose improvements to existing system
Requirements
8+ years of industry experience
Experience building and shipping large-scale, reliable, highly Distributed Systems
Systems-level programming experience, especially in C, GOlang or Rust
Expertise in L2, L3, and / or L4 networking protocols
Good understanding of Linux networking and security
Experience building on top of Linux kernel networking primitives netfilter, nftables, eBPF, tc, network namespaces, etc
Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis
Experience of working with public cloud infrastructure providers (AWS / Azure / Google Cloud)
Understanding of Kubernetes concepts
Excellent debugging and optimization skills
Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet
Contributions to open source projects is a plus
Excited by the idea of optimizing complex solutions to general problems
Attention to detail and ability to solve complex customer problems
Own solutions end-to-end and driving the design, development, and deployment process
Able to work across teams and level common, sustainable solutions