Senior Software Developer - #26-20955

US Tech Solutions, Inc.
Saint Paul, MN, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$176,800 - $187,200
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Component-Based Software Engineering Software Applications Application Performance Management Automation of Tests C Sharp (Programming Language) Cloud Computing Cloud Engineering
+30 more
Software Quality Computer Programming Continuous Integration Database Applications Database Queries Distributed Systems Python (Programming Language) Machine Learning Node.Js Cloud Services Software Deployment Software Engineering SQL Databases Systems Integration TypeScript Freeform SQL Cloud Platform System ReactJS Database Optimization Database Performance Backend Git Information Technology Front End Software Development Cloud Migration Api Design Restful APIs Legacy Systems Programming Languages Microservices

Job description

Client is scaling its AI and software engineering capabilities as part of a broader modernization and β€œrewire” initiative across infrastructure systems. This role is for a senior, hands-on software engineer who will contribute to building new application functionality while integrating with complex legacy systems., * Design, develop, test, and deploy scalable, production-ready software applications in cloud-based environments.

  • Develop backend services, REST APIs, and application components using Python and other modern programming languages.
  • Write complex SQL queries, optimize database performance, and support data modeling and integration.
  • Modernize legacy applications by migrating existing systems and integrating them with cloud-native platforms.
  • Build and enhance frontend components using modern JavaScript frameworks as needed.
  • Develop and maintain applications on AWS and/or GCP, following cloud-native architecture and development practices.
  • Collaborate with product managers, architects, and engineering teams to define requirements and deliver solutions.
  • Troubleshoot technical issues, improve application performance, and ensure code quality, scalability, and maintainability.
  • Work independently in a fast-paced environment, adapt to evolving requirements, and quickly learn new technologies.

Requirements

  • 10+ years of hands-on software engineering and application development experience.
  • Strong experience in Python development, backend engineering, API development, and SQL.
  • Proven experience developing and deploying applications on AWS and/or GCP.
  • Experience modernizing legacy applications, migrating workloads to the cloud, and integrating legacy systems with modern platforms.
  • Experience building enterprise-grade applications in product-oriented engineering environments

Skillset:

  • Strong programming experience in Python and/or other modern backend languages such as Java, Node.js, or C#.
  • Hands-on experience designing and developing RESTful APIs and backend services.
  • Strong SQL skills, including complex queries, database optimization, and data modeling.
  • Experience with AWS and/or GCP cloud services and cloud-native application development.
  • Working knowledge of frontend technologies such as JavaScript, TypeScript, React, or similar frameworks.
  • Experience with application modernization, legacy system integration, and cloud migration.
  • Familiarity with Git, CI/CD pipelines, automated testing, and Agile software development practices.

Education:

  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent practical experience., * GCP experience is preferred; AWS experience is also highly relevant.
  • Exposure to distributed systems, microservices architecture, and scalable application design.
  • Experience working with enterprise legacy applications and transitioning them to modern cloud platforms.
  • Exposure to AI-enabled or data-driven applications is a plus; direct AI/ML model development is not required.
  • Strong problem-solving, communication, and collaboration skills.
  • Ability to work independently, manage ambiguity, and deliver solutions with minimal supervision.

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