BASIC FUNCTIONS: This position is a subject matter expert on broad technologies and sets the architectural standard for the workgroup. The position executes corporate tactical technology strategy on large multifunctional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. This position is expected to be seen as a “go to” person across the division for a set of technologies.

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, frameworksTo 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 learnerOther duties assigned

Mandatory: English language (read and write, communications and documentation)

Skills Required

Comprehensive knowledge in the systems domainHands on Linux/Unix skillsHands 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, PythonKnowledge 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 advantageousKnowledge of AI architecture, data ingestions, semantic search, agentic design patterns is high advantageous

Soft Skills

Person of integrity, high code of conduct and regulatory complianceHigh emotional quality

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