Senior Software Engineer

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 cross functional 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.

• 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, Dev Ops 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.

• 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 Tensor Flow, 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, Cloud Formation, and other related technologies.
• Enterprise Platform Integration:
  Experience with integrating platforms like Databricks, Service Now, 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 Dev Ops:
  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.