Senior Cloud, Data & AI Engineer

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Oversee the design, development, and deployment of cloud, data, process intelligence, and AI solutions.

• Design, implement, and manage cloud-native services on AWS, utilizing API Gateway, Lambda, Fargate, DynamoDB, SQS, S3, KMS, IAM, and CloudWatch.

• Create data ingestion, transformation, and API components for extensive, multi-source data platforms.

• Enhance and develop Celonis solutions, including Data Connections, Data Integration transformations, object-oriented data models, event logs, Knowledge Models, PQL metrics, Studio Views, and Action Flows.

• Design and construct agentic AI workflows leveraging Amazon Bedrock, Azure OpenAI, and Celonis AI functionalities.

• Take ownership of system architecture and technical strategy for Innovation Lab products.

• Direct the complete technical delivery of the A-123 Continuous Controls Monitoring solution and other Innovation Lab products from prototype to production deployment.

• Prepare solutions for reuse across federal agencies through parameterized configurations, automated deployments, versioning, and reference architectures.

• Assist in capability demonstrations and post-award implementation tasks, including source system mapping, environment configuration, and deployment into agency and FedRAMP-authorized cloud environments.

• Collaborate with Celonis and AWS partner engineering teams on solution certification, marketplace listings, and partner program requirements.

• Establish scalable engineering practices that enhance reliability, data accuracy, deployment efficiency, and rapid deployment for new agency environments.

• Minimize manual control testing, audit, and review hours while increasing the adoption of Innovation Lab solutions across client engagements, demonstrations, and proposals.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline.

• Over 7 years of professional experience in software or data platform engineering, demonstrating a successful history of building and operating production systems at scale.

• More than 5 years of experience with Python and SQL.

• Extensive hands-on experience with AWS, covering serverless computing, managed data storage, messaging, IAM, encryption, and infrastructure as code using Terraform, CDK, or CloudFormation.

• At least 5 years of experience with cloud-native data and AI solutions.

• Hands-on experience with Celonis in process mining, data models, Knowledge Models, and PQL.

• Experience in building or integrating LLM-based or agentic systems.

• Must currently be authorized to work in the United States on a full-time basis.

• Capability to obtain a Public Trust Clearance.

• Previous engineering experience with Celonis, AWS, or a Celonis implementation partner.

• AWS Certified Solutions Architect and/or Celonis certifications such as Data Engineer, Process Intelligence Developer, or Automation.

• Familiarity with AWS GovCloud, FedRAMP, NIST 800-53, and Authority to Operate processes.

• Experience with object-centric process mining, Celonis ML Workbench, Blueprint API, and Marketplace packaging.

• Knowledge of federal financial management, including OMB Circular A-123, internal controls, PIIA, improper payments, grants management, or financial closing and reporting.

• Experience with Azure data and AI services, OneStream, Workiva, or Power BI.

• Proficient in Agile delivery methodologies, including Scrum or Kanban.

• Excellent communication skills for engaging with both executive and technical audiences.

🏝️ Benefits

• 100% remote work.

• Reasonable accommodations may be provided for individuals to perform essential job functions.