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 βrewireβ 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:
- Bachelorβs 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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