Sr Consulting/principal Software Engineer

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 highly advantageous

Soft Skills:

• Person of integrity, high code of conduct and regulatory compliance
• High emotional quality