Sr Consulting/Principal Software Engineer
- Raleigh, NC
- Permanent
- Full-time
- 12+ years of Software Engineering experience
- BS Engineering/Computer Science or equivalent experience required; advanced degree preferred
- 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
- 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
- Person of integrity, high code of conduct and regulatory compliance
- High emotional quality