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mclaren strategic solutions (mss)

Sr Fullstack Engineer (.net/React)

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  • Posted 11 hours ago
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Job Description

About Us

Next Generation of Technology Consulting

Our approach is built on delivering value by combining our powerful ecosystem of platforms with capital efficient execution.

We bring together deep domain expertise and our strength in technology to help the world's leading businesses build their digital core, optimize operations, accelerate revenue growth and deliver tangible outcomes at speed and scale.

Job Description

We are seeking a Senior Full Stack Engineer to support an architectural assessment of a Claims, Encounters, and Financials (CEF) platform. This role is focused on source artifact analysis, system behavior observation, and LLM-assisted analysis support — providing the technical depth needed to translate existing code, configurations, logs, and documentation into meaningful architectural findings. The ideal candidate is a seasoned full stack engineer with strong backend architecture knowledge, hands-on experience across distributed systems, cloud platforms, and and modern React-based frontends and the ability to analyze complex system artifacts and identify patterns, anomalies, and architectural risks. This person bridges the gap between raw technical artifacts and architecture-level conclusions, working closely with the senior architects to validate findings and support the production of evidence-based deliverables.

Key Responsibilities

  • Analyze source code, configuration files, deployment artifacts, logs, and system documentation to identify architectural patterns, risks, and inefficiencies
  • Support LLM-assisted analysis activities including architecture pattern recognition, anomaly detection, and summarization of existing artifacts — subject to approved tooling and data handling requirements Review React-based frontend codebases to assess application structure, state management patterns, API consumption, error handling, and performance considerations
  • Observe and document system behavior through available artifacts, logs, and interface specifications to support root cause analysis of instability, performance degradation, and error handling gaps
  • Assist in mapping application components, dependencies, and integration touchpoints to support the integration dependency map and batch dependency diagrams
  • Contribute technical findings to the Current State Assessment across application, backend, and infrastructure domains
  • Support the Senior Architects in validating technical findings, cross-referencing artifacts, and identifying evidence gaps
  • Review and summarize existing documentation including batch schedules, interface specifications, and database schemas to accelerate discovery
  • Assist in identifying observability gaps, including logging coverage, retention, and granularity limitations that may affect root cause confidence
  • Ensure all LLM-assisted outputs are reviewed for accuracy and compliance before contributing to any deliverable

Requirements

Required Qualifications

  • 8+ years of software engineering experience with a strong focus on backend and distributed systems
  • Strong experience with full stack development across cloud platforms, REST APIs, microservices, and databases
  • Hands-on experience analyzing complex codebases, system logs, and configuration artifacts in enterprise environments
  • Experience with observability tooling, structured logging, and system monitoring patterns
  • Strong understanding of messaging systems, caching, and API design patterns in distributed architectures
  • Experience with DevOps practices, CI/CD pipelines, and deployment artifact analysis
  • Ability to synthesize technical findings clearly in written form for consumption by senior architects and leadership
  • Familiarity with LLM-assisted analysis tools and responsible AI usage practices in controlled environments

Frontend: React Backend: REST APIs, microservice

Preferred Qualifications

  • Experience working on large-scale .NET systems in healthcare or regulated environments
  • Familiarity with batch processing systems, job orchestration tools, or ETL pipeline analysis
  • Experience with AWS services including EC2, S3, Lambda, and ECS/EKS relevant to artifact and log analysis
  • Exposure to database performance analysis, query review, or schema assessment
  • Experience contributing to architecture assessments, technical due diligence, or system modernization discovery engagements
  • Familiarity with security patterns including RBAC, token-based authentication, and secrets management

Benefits

Hybrid

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Job ID: 147249531