We are looking for a Senior Systems Software Engineer to help design and build the core infrastructure powering high-performance distributed this role you will work on fault-tolerant scalable infrastructure components optimize system performance and contribute to the architecture of low-level software that supports modern distributed computing and AI workloads.
This is an opportunity to work on technically challenging problems in systems programming virtualization storage distributed systems and performance optimization while collaborating with experienced engineers in a culture that values ownership continuous learning and data-driven decision-making.
Responsibilities
Design develop and optimize core infrastructure components with a focus on performance scalability and fault tolerance.
Own systems throughout their lifecyclefrom architecture and implementation to deployment monitoring and production support.
Build reliable distributed systems and improve their performance resiliency and operational efficiency.
Collaborate with cross-functional engineering teams to integrate infrastructure services across the platform.
Participate in architectural discussions and contribute to long-term technical strategy.
Troubleshoot complex production issues involving distributed systems and low-level infrastructure.
Analyze system performance using profiling and monitoring tools and implement performance improvements.
Practice distributed technical leadership by leading initiatives collaborating with peers and supporting team success.
Foster a collaborative engineering culture focused on continuous improvement knowledge sharing and learning from experience.
Support data-driven engineering decisions through benchmarking testing and performance analysis.
Requirements
5 years of experience developing systems software or infrastructure platforms.
Strong expertise in at least one of the following areas:
Virtualization
Storage systems
Service modeling and REST API/SDK generation
Scientific or High-Performance Computing (HPC)
Kernel development
Strong understanding of distributed systems design implementation and troubleshooting.
Proficiency in at least one systems programming language such as C C or Go (Golang).
Experience with scripting languages such as Python or Bash.
Strong Linux/Unix command-line and operating system knowledge.
Experience with low-level monitoring and performance profiling tools (e.g. perf eBPF PCM).
Bachelors degree in Computer Science Software Engineering or a related technical field or equivalent practical experience.
Curiosity and willingness to learn new technologies and work across different areas of infrastructure engineering.
Nice to Have
Experience with distributed AI or LLM inference frameworks such as OpenVINO or .
Familiarity with distributed SQL databases such as SingleStore CockroachDB ScyllaDB ClickHouse or similar technologies.
Experience working with high-performance networking or storage technologies.
Knowledge of cloud infrastructure and containerized environments.
Experience contributing to open-source systems software projects.
What We Offer
Opportunity to work on complex large-scale distributed infrastructure.
Collaborative engineering culture with high technical standards.
Ownership of impactful systems from design through production.
Exposure to modern AI infrastructure and high-performance computing technologies.
Long-term project with opportunities for professional growth and technical leadership.
We are looking for a Senior Systems Software Engineer to help design and build the core infrastructure powering high-performance distributed this role you will work on fault-tolerant scalable infrastructure components optimize system performance and contribute to the architecture of low-level softw...
We are looking for a Senior Systems Software Engineer to help design and build the core infrastructure powering high-performance distributed this role you will work on fault-tolerant scalable infrastructure components optimize system performance and contribute to the architecture of low-level software that supports modern distributed computing and AI workloads.
This is an opportunity to work on technically challenging problems in systems programming virtualization storage distributed systems and performance optimization while collaborating with experienced engineers in a culture that values ownership continuous learning and data-driven decision-making.
Responsibilities
Design develop and optimize core infrastructure components with a focus on performance scalability and fault tolerance.
Own systems throughout their lifecyclefrom architecture and implementation to deployment monitoring and production support.
Build reliable distributed systems and improve their performance resiliency and operational efficiency.
Collaborate with cross-functional engineering teams to integrate infrastructure services across the platform.
Participate in architectural discussions and contribute to long-term technical strategy.
Troubleshoot complex production issues involving distributed systems and low-level infrastructure.
Analyze system performance using profiling and monitoring tools and implement performance improvements.
Practice distributed technical leadership by leading initiatives collaborating with peers and supporting team success.
Foster a collaborative engineering culture focused on continuous improvement knowledge sharing and learning from experience.
Support data-driven engineering decisions through benchmarking testing and performance analysis.
Requirements
5 years of experience developing systems software or infrastructure platforms.
Strong expertise in at least one of the following areas:
Virtualization
Storage systems
Service modeling and REST API/SDK generation
Scientific or High-Performance Computing (HPC)
Kernel development
Strong understanding of distributed systems design implementation and troubleshooting.
Proficiency in at least one systems programming language such as C C or Go (Golang).
Experience with scripting languages such as Python or Bash.
Strong Linux/Unix command-line and operating system knowledge.
Experience with low-level monitoring and performance profiling tools (e.g. perf eBPF PCM).
Bachelors degree in Computer Science Software Engineering or a related technical field or equivalent practical experience.
Curiosity and willingness to learn new technologies and work across different areas of infrastructure engineering.
Nice to Have
Experience with distributed AI or LLM inference frameworks such as OpenVINO or .
Familiarity with distributed SQL databases such as SingleStore CockroachDB ScyllaDB ClickHouse or similar technologies.
Experience working with high-performance networking or storage technologies.
Knowledge of cloud infrastructure and containerized environments.
Experience contributing to open-source systems software projects.
What We Offer
Opportunity to work on complex large-scale distributed infrastructure.
Collaborative engineering culture with high technical standards.
Ownership of impactful systems from design through production.
Exposure to modern AI infrastructure and high-performance computing technologies.
Long-term project with opportunities for professional growth and technical leadership.