- Location
- Remote, US · BWG HQ
- Workplace
- Remote
- Department
- Engineering
- Seniority
- Senior
- Experience
- 7+ years
- Visa
- Not sponsored
Description
Harnessing Technology to Improve Financial Stewardship for the Welfare, Defense, and Security of Our Nation
Blake Willson Group (BWG) unites deep domain experts with technologists who leverage industry-leading financial management solutions to address the most critical mission objectives. Headquartered in the National Capital Region, the firm delivers measurable outcomes through technology-forward strategies and advanced solutions that drive mission success.
Blake Willson Group has a distinguished track record of exceptional performance, achieving operational efficiencies that allow our clients to do more with less. BWG has earned the confidence of its clients by consistently exceeding expectations through its unwavering commitment to best value solutions, implemented with speed.
Job Location:
This role is 100% remote.
Clearance:
Must be currently authorized to work in the United States on a full-time basis and have the ability to obtain a Public Trust Clearance.
Job Description:
Blake Willson Group is seeking a Senior Cloud, Data & AI Engineer to lead the architecture, development, and delivery of innovative cloud, data, process intelligence, and AI solutions. This role will own technical delivery across AWS GovCloud and Celonis environments, with a focus on building secure, scalable, and reusable solutions for federal clients. The ideal candidate brings deep software and data engineering expertise, hands-on AWS experience, and practical experience with Celonis and AI/agentic technologies. In this position, you will also:
- Architect, implement, and operate cloud-native services on AWS, including API Gateway, Lambda, Fargate, DynamoDB, SQS, S3, KMS, IAM, and CloudWatch, using infrastructure as code, CI/CD, observability, security, and tenancy controls.
- Build data ingestion, transformation, and API components for large-scale, multi-source data platforms, including ETL and streaming pipelines, authentication and authorization, and data quality validation.
- Develop and extend Celonis solutions, including Data Connections, Data Integration transformations, object-centric data models, event logs, 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, as well as Celonis AI capabilities, with appropriate evaluations, guardrails, and traceability.
- Own system architecture and technical direction for Innovation Lab products, including design decisions, code reviews, engineering standards, testing, security, and observability.
- Lead end-to-end technical delivery of the A-123 Continuous Controls Monitoring solution and additional Innovation Lab products from prototype through pilot and production deployment.
- Package solutions for reuse across federal agencies through parameterized configuration, automated deployment, versioning, and reference architectures.
- Support capability demonstrations and post-award implementation activities, 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 improve reliability, data accuracy, deployment efficiency, and the ability to rapidly stand up solutions for new agency environments.
- Maintain a focus on measurable business impact, including reducing manual control testing, audit, and review hours and increasing the use of Innovation Lab solutions across client engagements, demonstrations, and proposals.
Required Skills:
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Business, or a related field.
- 7+ years of professional software or data platform engineering experience, with a proven track record of building and operating production systems at scale.
- 5+ years of experience with Python and SQL, including deep hands-on AWS experience across serverless compute, managed data stores, messaging, IAM, encryption, and infrastructure as code using Terraform, CDK, or CloudFormation.
- 5+ years of experience with cloud-native data and AI solutions, including hands-on Celonis experience with process mining, data models, Knowledge Models, and PQL, as well as experience building or integrating LLM-based or agentic systems.
Desired Skills:
- Prior 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.
- Experience with AWS GovCloud, FedRAMP, NIST 800-53, and Authority to Operate processes for cloud-hosted analytics and AI systems.
- Experience with object-centric process mining, Celonis ML Workbench, Blueprint API, and Marketplace packaging.
- Federal financial management domain knowledge, including OMB Circular A-123, internal controls, PIIA, improper payments, grants management, or financial close and reporting.
- Experience with Azure data and AI services, OneStream, Workiva, or Power BI.
- Experience with Agile delivery methodologies, including Scrum or Kanban, and strong communication skills with executive and technical audiences.
