Senior Software Engineer

Tpiglobal Inc — United States · Posted ~1 day ago

Senior Contract Hybrid No Visa

Skills

AWS full-stack development software engineering DevOps AWS Lambda API Gateway DynamoDB S3 Kinesis

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A senior software engineering role focused on building modern cloud-native applications. The position combines full-stack development, automation, and advanced engineering practices in an agile environment.

Highlights

Senior engineering contract with exposure to cloud-native development, AI-assisted workflows, and opportunities to mentor other engineers.

Description

Job Title: Sr. Software Engineer (Mobile Application is Plus) Job Location: Atlanta, GA (Hybrid- In Office 3 days a week required) Project Duration: 3-6+ months with possible Long term W2 Only – No C2C LOCAL Candidates Only Job Summary Skills Required Hands-on AWS Serverless (Lambda, API Gateway, DynamoDB, EventBridge, Kinesis, S3) and professional AI/GenAI tool experience (Claude Code, GitHub Copilot, ChatGPT, etc.). Experience in Mobile Application Development is also required here. Job Title: Sr. Software Engineer Job Location: Atlanta, GA (Hybrid- In Office 3 days a week required) Project Duration: 3-6 months with possible Contract to HIRE Job Summary We are seeking a senior full-stack engineer for our fast-paced agile team in Atlanta, GA, to drive the next generation of core products. You will combine engineering excellence with an AI-first mindset, championing AWS cloud-native, DevOps-focused software engineering and mentoring junior talent. Key Responsibilities: Design, develop, and deploy robust, scalable software solutions that meet user story requirements and acceptance criteria.. Monitor and manage cloud infrastructure (cost, performance, security) within AWS. Explore and incorporate AI capabilities to improve code quality, deployment processes, and innovation within our engineering practice. Implement mobile and/or cross-platform application features using Dart and Flutter, delivering performant and maintainable UI and business logic. Engineering & Delivery: Design, build, and deploy scalable solutions, breaking down epics/stories into actionable technical estimates.Mobile Excellence: Implement performant mobile and cross-platform UI/business logic using Dart and Flutter.Cloud & Infrastructure: Monitor, manage, and optimize AWS cloud environments, security, and cost, alongside CI/CD automation.Quality & Testing: Write and maintain comprehensive unit, integration, and automated tests, while troubleshooting production issues.AI Integration & Innovation: Explore and incorporate AI capabilities and AI-assisted coding tools (GitHub Copilot, Claude, etc.) to enhance code quality and deployment workflows.Leadership: Mentor junior and mid-level engineers, champion software best practices, and collaborate closely in an Agile environment. Core Technical Stack & Requirements: Education: Bachelor’s degree in a related discipline and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 8 years’ experience in a related fieldPrimary Development: (essential for cross-platform mobile/application features).Cloud & DevOps: Amazon Web Services (Dart and Flutter AWS), CI/CD pipelines, Git or similar version control systems.Experience Threshold: Minimum 4+ years of web/mobile application development (or up to 8 years of general related tech experience without a degree).Cloud Background: 2+ years building and deploying applications within AWS. Preferred Qualifications: Experience designing scalable, cloud-native architectures or serverless applications.Familiarity with container services (Docker, ECS, EKS) or infrastructure-as-code (Terraform/CDK).Familiarity with mobile deployment pipelines (Firebase App Distribution, TestFlight).Working knowledge of relational or NoSQL databases.Demonstrated experience using AI-assisted coding tools in production or experimentation pipelines.