Job description

QUALIFICATIONS: • 12+ years of Software Engineering experience • BS Engineering/Computer Science or equivalent experience required; advanced degree preferred Senior Consultant / Architect / Principal Engineering Consultant (Cloud / Software / System) Locations: Raleigh, NC, US Work with us in the world's leading firm of AI and in the professional domain. Job Responsibilities • Being able to understand from the big picture to detailed system implementation of big data and AI retrieval architecture, supporting and innovating as a global platform. • Be able to manoeuvre in a very dynamic environment, requires effective communication and social skills. • Being able to bridge and communicate across functional teams, locally and globally. • Documentation drafting, including architecture, solution comparisons, etc. • Have to be dynamically and highly skilled at conducting Proof of Concept systems design in a wide variety of functional domains. • To conduct various testing for selection of proper libraries, frameworks • To design and implement testing frameworks as guardrails for code delivery quality and behavioral tests. • Attending meetings with global teams to liaise and to provide support or systems diagnosis. • Rapid learner • Other duties assigned Mandatory: English language (read and write, communications and documentation) Skills Required • Comprehensive knowledge in the systems domain • Hands on Linux/Unix skills • Hands on skills on cloud architecture (AWS, Azure, GCP) • DevOps skills (CI, CD, Jenkins, Kubernetes, Karpenter, CloudFormation, Terraform, IaC, EKS, GKE, SonarQube, etc.) • Cloud networking design (L4/L7 load balancers and limitations, DR methodology, rate limiting, performance sizing, bin-packing, cloud Kubernetes ingress types, Istio, etc.) • Systems and code security (Hashing, deprecation and vulnerabilities, FIPS compliance, etc.) • Hands on coding skills with strong fundamentals of computer science, data structures, software and computer architecture (at least 3 languages in previous projects) • Preferably: C, Java, Go, Rust, Python • Knowledge in performance web frameworks for microservices architecture (e.g. Fiber, Gin, Spring Boot, FastAPI, Enterprise J2EE) • Knowledge in web serving technologies (e.g. Jetty, Tomcat, Uvicorn, Guvicorn, nginx, Apache HTTPD) • Knowledge and exposure in ETL architectures and implementations (Flink, Spark streaming) • Robust fundamentals in data architecture (Not only RDBMS, but columnar databases, search engines, ElasticSearch, Solr, ELK, Cassandra, HBase, Cloud-based Spanner, Aurora, DynamoDB, etc.) • Strong fundamentals in maintaining clean code, styling, best practices, algorithmic performance, performance and crash-free robust software architectures. • Knowledge in end-to-end observability solutions (e.g. Splunk, Prometheus, Datadog, ELK, DTrace) • Possession of cloud certification is highly advantageous • Knowledge of AI architecture, data ingestions, semantic search, agentic design patterns is high advantageous

Requirements