Senior Software Engineer

TechDigital Group; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

TechDigital Group is looking for a Senior Software Engineer to lead the design and implementation of AI-driven solutions and Slackbot integrations. The successful candidate will manage AWS infrastructure and work collaboratively with crossfunctional teams to enhance business operations. This role requires expertise in Python and AI technologies.

The ideal candidate will have 5+ years of relevant experience and be proficient in deploying AI models and AWS services. Strong communication skills and problem-solving abilities are essential for this position.

Qualifications

• 5+ years of experience in software engineering with a strong focus on Python development.
• Proficiency in developing and deploying AI models, including machine learning and natural language processing.
• Strong expertise in AWS services such as EC2, S3 and Lambda.

Responsibilities

• Design and develop AI-driven solutions for business processes.
• Create custom Slackbots for team collaboration and support.
• Manage and deploy AWS infrastructure for scalable applications.

Skills

Python programming

AI technologies

AWS services

Slackbot development

CI/CD pipelines

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Flask

Django

Docker

Kubernetes

Job description

Job Description

As a Senior Software Engineer, you will be at the forefront of designing, developing, and maintaining advanced AI-driven solutions, Slackbot integrations, and robust AWS infrastructure. You will work closely with crossfunctional teams to innovate, optimize, and deliver scalable solutions that enhance our operations and business processes. Your expertise in Python, AI technologies, and cloud infrastructure will be crucial in driving the success of our digital transformation initiatives.

Responsibilities

• Design, develop, and implement AI‑driven solutions to automate and enhance business processes, including predictive analytics, natural language processing, and machine learning models.
• Create and maintain custom Slackbots that integrate with various internal systems, providing automated support, notifications, and interactive tools for team collaboration.
• Architect, deploy, and manage AWS infrastructure to support scalable applications, including setting up EC2 instances, S3 storage, Lambda functions, and other AWS services.
• Work closely with data scientists, DevOps engineers, and other stakeholders to translate business requirements into technical solutions, ensuring alignment with overall strategic goals.
• Develop scripts and tools to automate deployment, monitoring, and maintenance tasks, ensuring high availability and performance of the systems.
• Implement and maintain CICD pipelines to streamline development processes, ensuring rapid delivery of high‑quality code.
• Conduct performance tuning, troubleshooting, and debugging of AI models, Slackbots, and infrastructure components as needed.
• Continuously research and integrate new tools, technologies, and best practices related to Python development, AI, and cloud infrastructure.

Requirements

• Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
• Experience: 5+ years of experience in software engineering with a strong focus on Python development, AI technologies, and cloud infrastructure.
• Proficiency in Python: Extensive experience in Python programming, with a deep understanding of Python libraries and frameworks such as TensorFlow, PyTorch, Flask, and Django.
• AI Expertise: Proven experience in developing and deploying AI models, including familiarity with machine learning algorithms, natural language processing, and data analysis techniques.
• Slackbot Development: Experience in building and maintaining Slackbots, with knowledge of Slack APIs and integration best practices.
• AWS Infrastructure: Strong expertise in AWS services, including EC2, S3, Lambda, CloudFormation, and other related technologies.
• Enterprise Platform Integration: Experience with integrating platforms like Databricks, ServiceNow, Workday, and other SaaS applications, ensuring seamless data exchange and process automation.
• Automation and Scripting: Proficiency in scripting and automation tools, with a focus on automating cloud infrastructure and deployment processes.
• CI/CD and DevOps: Experience with CI/CD pipelines, version control systems (e.g., Git), and containerization technologies (e.g., Docker, Kubernetes).
• Problem‑Solving Skills: Excellent analytical and problem‑solving abilities, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Strong verbal and written communication skills, with the ability to collaborate effectively with cross‑functional teams and stakeholders.
• Agile Methodologies: Familiarity with Agile development practices and experience.