Technical Lead

About the Role:

Tech Lead

Key Responsibilities

Technical Leadership & Architecture

• Define and maintain the architecture, ensuring high scalability, reliability, and maintainability.
• Oversee 

  AWS

   infrastructure (EC2, ECS/EKS, Lambda, S3, RDS), optimizing for cost, performance, and security.
• Drive 

  AI/ML

   feature development, collaborating with data scientists to design and deploy models using best practices in MLOps.
• Establish and enforce coding standards, architectural principles, and best practices for the team.

Project Management

• Lead 

  Agile

   ceremonies (sprint planning, retrospectives, daily stand-ups) ensuring timely and quality deliveries.
• Manage 

  resource allocation

  , 

  risk mitigation

  , and 

  technical debt

   for ongoing feature development.
• Coordinate 

  release planning

   and 

  version control

   strategies, balancing new features with infrastructure improvements.

Business & Product Alignment

• Collaborate with 

  Product Management

   to develop and maintain product roadmaps and timelines.
• Translate 

  business requirements

   into actionable technical tasks, ensuring features are aligned with 

  SaaS business metrics

   and goals.
• Evaluate 

  market trends

   and 

  competitive positioning

   to inform product strategy and enhancements.

Team Management & Mentorship

• Directly 

  manage

   and 

  mentor

  software developers, architects, and other technical roles, fostering a culture of continuous learning and improvement.
• Provide 

  career development

   guidance and 

  technical training

   to the team.
• Drive 

  recruiting efforts

   to expand and strengthen the development team with top talent.
• Facilitate 

  cross-functional communication

   with design, product, and business stakeholders.

Operational Excellence & DevOps

• Implement and oversee 

  CI/CD pipelines

   to maintain high-quality, consistent builds and deployments.
• Champion 

  Infrastructure as Code

   (e.g., 

  Terraform

  , 

  CloudFormation

  ) to automate and streamline environment setup and maintenance.
• Ensure robust 

  monitoring

  , 

  logging

  , and 

  alerting

   solutions are in place for rapid detection and resolution of issues.

Security & Compliance

• Enforce 

  security best practices

   for cloud and AI applications, including 

  IAM

  , 

  data encryption

  , and 

  application security

  .
• Ensure compliance with relevant standards and regulations, especially for AI systems handling sensitive data.

Innovation & Thought Leadership

• Stay updated on emerging technologies in 

  AI, cloud, and microservices

  .
• Identify opportunities to leverage new tools, frameworks, and practices that enhance the products performance and differentiate it in the market.
• Drive a culture of experimentation, prototyping, and data-driven decision-making