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Senior Level Developer

Ignite IT

Job Description

Job Description

Position Overview

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).

 

Agile Scrum & Technical Leadership

  • Participate in Agile Scrum ceremonies.
  • Provide technical decomposition of EPICs into implementable features.
  • Mentor Mid-Level Developers.
  • Assist Product Owner and Requirements Engineer in refining complex stories.
  • Contribute to Definition of Done including:
    • Code complete
    • Automated tests implemented
    • Security checks passed
    • Documentation updated

 

Requirements

Required Qualifications

  • 8+ years of software development experience.
  • Expert-level proficiency in Python.
  • Demonstrated experience participating in development and execution of a systems inventory and migration plan from legacy on-premise systems to AWS Cloud.
  • Expert-level experience with AWS services and serverless architectures.
  • Experience refactoring legacy systems into cloud-native architectures.
  • Experience building data-intensive and distributed applications.
  • Experience designing APIs, microservices, and event-driven systems.
  • Experience with relational databases (Aurora/Postgres preferred).
  • Experience with CI/CD pipelines and DevSecOps practices.
  • Experience working in Agile Scrum Teams.
  • U.S. Citizenship required.

 

Preferred Qualifications

  • Experience modernizing large system-of-systems environments.
  • Familiarity with legacy analytical platforms (e.g., SAS).
  • Experience supporting architecture review boards and governance documentation.
  • Experience operating in regulated or federal environments.

Benefits

  • 401(k) with matching and 100% Vested
  • Health Insurance - 3 plans to select from
  • Dental insurance
  • Vision Insurance
  • Health savings account
  • Life insurance
  • Short Term Disability
  • Long Term Disability
  • AD&D
  • Paid time off
  • Professional development assistance
  • Training
  • Tuition reimbursement
  • Flexible schedule
  • Flexible spending account
  • Referral program
  • Paid Legal Plan
  • and more....

Ignite IT is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, Veteran status, sexual orientation, or other protected characteristic. In accordance with EO 13665 Final Rule, Ignite IT will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

Applicants selected may be required to possess and maintain a government clearance

US CITIZENSHIP REQUIRED

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