Who we are
Technuf, LLC is a Maryland based SBA certified 8(a) small business company providing leading-edge and proven technologies, industry vertical domain expertise and highly skilled and motivated professionals to achieve our customers’ mission critical business needs.
What we’re looking for
Technuf is seeking a skilled and experienced Senior Python Developer for AWS Cloud Modernization.
Job Description:
The Senior-Level Developer serves as a technical modernization leader responsible for designing, refactoring, and implementing AWS Cloud Native solutions as part of a large-scale legacy system-of-systems migration initiative.
This role requires expert-level proficiency in Python and deep expertise in AWS services and serverless architecture. The Senior-Level Developer will actively participate in system discovery, contribute to development of a structured systems inventory, and support creation and execution of phased migration plans from legacy on-premises platforms to cloud-native environments.
This position is not limited to feature development; it requires ownership of complex refactoring efforts, architectural fidelity, and integration stability across interconnected modernization workstreams.
Key Responsibilities:
Systems Inventory & Migration Planning
- Participate in structured discovery sessions to assess legacy systems, data flows, and integration dependencies.
- Contribute to development of a comprehensive systems inventory documenting:
- Functional capabilities
- Technical stack
- Data dependencies
- Upstream/downstream integration points
- Support development of a phased migration plan, including:
- Refactor vs lift-and-shift analysis
- Risk identification
- Sequencing of interdependent systems
- Hybrid mitigation strategies
- Collaborate with architects and Requirements Engineers to align modernization strategy with technical feasibility.
Expert-Level Python Refactoring & Cloud-Native Redesign
- Lead complex refactor efforts from legacy environments (e.g., SAS, file-based batch systems) to Python-based AWS Cloud Native architectures.
- Redesign algorithms and workflows for scalability and performance.
- Ensure computational and functional equivalence during migration.
- Replace file-based ingestion models with API- and database-driven architectures.
- Optimize high-volume, data-intensive applications for distributed execution.
Expert-level Python proficiency is required, including:
- Advanced data processing
- Modular architecture design
- Performance optimization
- Test-driven development practices
AWS Cloud & Serverless Architecture Implementation
- Design and implement solutions using AWS services such as:
- Lambda
- ECS / EKS
- Fargate
- Aurora/Postgres
- EventBridge
- SNS/SQS
- Glue
- Batch
- S3
- IAM / KMS
- Architect event-driven and serverless patterns.
- Implement scalable containerized workloads.
- Ensure alignment with enterprise cloud guardrails and security requirements.
- Optimize cost, performance, and resilience within AWS environments.
Expert-level experience in AWS Cloud Native architectures and serverless technologies is required.
System-of-Systems Integration Leadership
- Identify cross-workstream integration risks.
- Ensure upstream/downstream compatibility during phased modernization.
- Support design of orchestration patterns to prevent sequencing errors and data thrashing.
- Collaborate with other Senior Developers across workstreams to coordinate shared services and integration layers.
- Participate in architecture review discussions and technical governance forums.
DevSecOps & Automation Integration
- Design CI/CD-aware applications compatible with GitLab or equivalent pipelines.
- Integrate automated testing and security scanning into development lifecycle.
- Troubleshoot pipeline failures and optimize build processes.
- Ensure observability through structured logging, metrics, and monitoring.
- Support infrastructure-as-code alignment (Terraform/CloudFormation collaboration).
Education:
Bachelor's degree from an accredited college or university.
Interviews:
Please note that both remote and in-person interviews may be required for this opportunity.
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: Remote