Lead Fullstack Engineer

Deloitte10 months ago
Kansas City, MO, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Lead Fullstack Engineer – As a Lead Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship across multiple programming languages and modern frameworks to deliver high-quality, outcome-focused solutions. The ideal candidate is a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on March 4th, 2026.

Key Responsibilities

  • Outcome-Driven Accountability: Embrace a culture of accountability for customer and business outcomes by developing high-quality, lean engineering solutions that solve complex problems.
  • Technical Leadership and Advocacy: Act as the technical advocate for products by ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integration, and support.
  • Engineering Craftsmanship: Take ownership of code design, implementation, quality, data integrity, and ongoing maintenance. Write supportable, scalable code while continuously learning new approaches and frameworks.
  • Customer-Centric Engineering: Develop lean solutions through rapid experimentation, engaging with customers and product teams to ensure timely and effective delivery.
  • Incremental and Iterative Delivery: Favor action and evidence over extensive planning by delivering maintainable solutions in a lean, iterative manner.
  • Cross-Functional Collaboration: Work with empowered, cross-functional teams to balance feasibility, viability, usability, and value while fostering team synergy and innovation.
  • Advanced Technical Proficiency: Utilize modern software engineering practices including Agile and DevSecOps to deliver automated, high-quality product deployments throughout the SDLC.
  • Domain Expertise: Quickly grasp domain-specific knowledge to translate business and UX/UI requirements into technical specifications and code.
  • Effective Communication and Influence: Articulate complex technical concepts clearly, inspiring and influencing teammates and product teams with well-structured arguments.
  • Engagement and Collaborative Co-Creation: Build constructive relationships across all organizational levels to drive consensus and co-create feasible solutions.

Required Qualifications

  • Bachelor's degree in computer science, software engineering, or a related discipline (experience is the most relevant factor).
  • 5+ years of experience with multiple programming languages (e.g., NodeJS, Python, C#, .NET Core, Golang, SQL/NoSQL, React) and unit testing frameworks.
  • 5+ years of experience with cloud-native engineering using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP.
  • 5+ years of hands-on experience with Amazon cloud-native services (e.g., MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena).
  • 1+ years of experience with AI/ML and GenAI.
  • Solid understanding of Business Context Diagrams, sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation.
  • Familiarity with methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, and SonarQube.
  • Excellent interpersonal and organizational skills with the ability to handle complex projects and changing priorities.
  • Ability to travel approximately 10% as required by the role.

Benefits & Perks

  • Compensation Range: $97,600 to $179,900
  • Incentive Program: You may be eligible to participate in a discretionary annual incentive program based on individual and organizational performance.
  • Accommodation: Applicants needing accommodation should refer to this information.
  • Limited immigration sponsorship may be available.

Required Skills

NoSQL
AI/ML
SonarQube
GitHub
C#
React
Python
GenAI
Unit Testing
AWS Services (MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena)
DevSecOps
SRE
SQL
Cloud Native Engineering
NodeJS
SAFe
Agile Methodologies
XP
.NET Core
Microservices
ADO
Lean
Golang