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oracle

Senior Lead Software Engineer - Python, Data, Cloud, AIML

051094-DFW EAST 1
Glasgow, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
PythonCloudAWSDockerKubernetesMLOps
Free

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Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps
  • Designs and implements data engineering solutions, leveraging modern big data technologies
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and proficient applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages- Python
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
  • Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
  • Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
  • Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack
  • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications, capabilities, and skills

  • Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector
  • Experience working on recommendation systems, LLM applications or other AI/ML systems
  • Practical experience with Kubernetes, EKS, Docker, MLOps
  • Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases
  • Prior experience collaborating with data scientists

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