Senior Cloud, Data & AI Engineer

New
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Blake Willson GroupFinancial Management Technology
Remote, USFull-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
AWSPythonSQLData engineeringTerraform

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Business, or related field.
  • 7+ years of professional software or data platform engineering experience.
  • 5+ years of experience with Python and SQL.
  • 5+ years of hands-on AWS experience across serverless compute, managed data stores, messaging, IAM, and encryption.
  • 5+ years of experience with cloud-native data and AI solutions.
  • Hands-on Celonis experience with process mining, data models, Knowledge Models, and PQL.
  • Experience building or integrating LLM-based or agentic systems.
  • Experience with infrastructure as code tools such as Terraform, CDK, or CloudFormation.
  • Ability to obtain a Public Trust Clearance.

Responsibilities

  • Architect, implement, and operate cloud-native services on AWS including API Gateway, Lambda, Fargate, DynamoDB, SQS, S3, KMS, IAM, and CloudWatch.
  • Build large-scale, multi-source data platforms featuring ETL and streaming pipelines.
  • Develop and extend Celonis solutions including Knowledge Models, PQL metrics, Studio Views, and Action Flows.
  • Design and build agentic AI workflows using managed LLM services such as Amazon Bedrock and Azure OpenAI.
  • Lead end-to-end technical delivery of the A-123 Continuous Controls Monitoring solution and other Innovation Lab products.
  • Package solutions for federal agency reuse through parameterized configuration, automated deployment, and versioning.
  • Collaborate with Celonis and AWS partner teams on solution certification and marketplace listings.
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