Cloud Engineer- Data/AI Focused

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EngineeringData ScienceDevOps & InfrastructureCloud EngineerDevops EngineerInfrastructure & Cloud

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Quick Summary

Overview

We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from…

Key Responsibilities

Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR Creating and maintaining data extraction, transformation, and loading processes Configuring and optimizing AWS database services including RDS, Aurora,…

Technical Tools

anthropicawsdynamodblangchainsqlagilecode-reviewdatabase-designetlmachine-learning

Responsibilities

~1 min read

→Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
→Creating and maintaining data extraction, transformation, and loading processes
→Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
→Implementing data lakes using S3 and related AWS services
→Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
→Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
→Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
→Writing and testing SQL queries and stored procedures
→Documenting technical solutions and providing knowledge transfer to customers
→Supporting the implementation of data governance and security controls
→Troubleshooting and resolving issues with data pipelines and AI services
→Participating in code reviews and implementing feedback
→Assisting with proof-of-concept implementations for customer engagements

5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
2+ years of hands-on AWS experience with production deployments
1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
Proven track record delivering production AI applications from concept to deployment
Strong understanding of software engineering best practices (version control, testing, code review, documentation)
Experience working in agile/scrum environments with distributed teams
Excellent problem-solving skills and ability to work independently with minimal supervision
Strong written and verbal communication skills for client-facing interactions

Nice to Have

~1 min read

Technical familiarity with AWS data and AI/ML services and modern data engineering practices
Hands-on experience with ETL/ELT processes and data transformation
Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
Ability to write and optimize SQL queries across various database platforms
Knowledge of data modeling concepts and best practices
Strong analytical and problem-solving skills
Eagerness to learn new technologies and keep up with cloud and AI innovations
Excellent communication skills with the ability to explain technical concepts clearly
Attention to detail and commitment to solution quality
Collaborative mindset with strong teamwork capabilities
Experience or interest in automation and infrastructure as code