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Senior systems engineer to design and optimize Rust-based, high-performance execution engines for distributed Big Data systems (Spark, Hadoop, Ray). Responsibilities include low-level performance tuning (SIMD, cache locality, zero-copy I/O), concurrency and memory-layout optimization, owning performance-critical components end-to-end, and rapidly improving unfamiliar codebases.

Design, build, and maintain scalable cloud infrastructure (AWS/GCP); own CI/CD pipelines; collaborate with R&D to optimize Ruby on Rails deployments and performance; support and scale AI/ML infrastructure; implement monitoring, logging, and incident response to ensure reliability.

Design, build, and maintain scalable AWS/GCP infrastructure; streamline CI/CD; collaborate with R&D to optimize Ruby on Rails deployments and performance; implement monitoring, logging, and incident response; support AI/ML infrastructure scaling.

Senior systems engineer to design and optimize high-performance Rust-based execution engines for distributed data systems (Spark, Hadoop, Ray). Responsibilities include low-level performance tuning (SIMD, cache locality, zero-copy IO), multithreading, memory/layout optimizations, owning components end-to-end, and diving into unfamiliar codebases to deliver production-grade infrastructure.

Design, build, and maintain scalable cloud infrastructure (AWS/GCP); implement IaC (Terraform/CloudFormation); manage containers and orchestration (Docker, Kubernetes/ECS); streamline CI/CD; debug and optimize Ruby/Rails deployments (Bundler, Puma/Passenger); implement monitoring, logging, and alerting; support AI/ML infrastructure needs and GPU scaling.

Lead design, build, and maintenance of scalable cloud infrastructure (AWS/GCP); streamline CI/CD; manage containers and orchestration; optimize Ruby/Rails deployments; support AI/ML infrastructure (vector DBs, LLM integrations, GPU scaling); implement monitoring, logging, and incident response; collaborate closely with a small R&D team to improve reliability and deployment velocity.

Source, screen, and manage end-to-end recruitment for IT roles; build candidate pipelines; create job descriptions and outreach; maintain ATS and candidate records; liaise with clients and hiring managers; run technical screenings and negotiate offers to deliver strong candidate experiences.

Design, build, and maintain scalable cloud infrastructure (AWS/GCP); manage IaC (Terraform/CloudFormation); run containers and orchestration (Docker, Kubernetes, ECS); streamline CI/CD; optimize Ruby/Rails deployments; support AI/ML infra; implement logging, monitoring, and incident response to ensure reliability.

Design, build, and maintain scalable AWS/GCP cloud infrastructure using IaC. Streamline CI/CD, manage containers and orchestration, optimize Ruby/Rails deployments, support AI/ML infrastructure needs, and implement logging, monitoring, and incident response to ensure high availability.

Build and optimize native Rust execution engines for distributed Big Data systems. Responsibilities include accelerating Apache Spark, Hadoop, and Ray; tuning performance through SIMD, cache locality, and zero-copy I/O; and developing performance-critical components involving memory management, concurrency, networking, and hardware/software boundaries. The role requires end-to-end ownership, rapid codebase optimization, and effective collaboration in a high-autonomy environment.