Job description

Duration: 12+ Months Job Description: Client is scaling its AI and software engineering capabilities as part of a broader modernization and “rewire” 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. Responsibilities: • 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. Experience: • 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. Additional Qualifications: • 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. Shift Hours: • 8:00AM -5:00 PM CST About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. #ZR

Requirements

Must-haves

Duration: 12+ Months
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.
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
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.

Nice-to-haves

GCP experience is preferred; AWS experience is also highly relevant.
Exposure to AI-enabled or data-driven applications is a plus; direct AI/ML model development is not required.

Application prep

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Keywords to mirror

airestpythonsqljavascriptawsgcpapijavanode.jstypescriptreactci/cdagileml

Platform: jobdiva
Effort: medium

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