Technical Lead
2 weeks ago
Position: Tech Lead (AI-based SaaS Product)
Location: On-site (Office-based)
Experience Required : 6+ years in software development (SaaS focus), with microservices, Java, AWS, and AI/ML exposure
About the Role :
- We are seeking a Tech Lead to drive the development of our AI-based SaaS product.
- In this role, you will manage a team of highly skilled software developers and architects, ensuring the product's technical vision is clearly defined and executed.
- You'll be the go-to person for system design, coding standards, and process optimization, while also providing hands-on technical leadership and mentorship to the team.
Key Responsibilities :
- Define and maintain the microservices 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Stay updated on emerging technologies in AI, cloud, and microservices.
- Identify opportunities to leverage new tools, frameworks, and practices that enhance the product's performance and differentiate it in the market.
- Drive a culture of experimentation, prototyping, and data-driven decision-making.
Required Skills & Qualifications :
- 6+ years of hands-on software development experience, preferably building SaaS products.
- Proficiency in Java with a strong foundation in microservices design patterns (service mesh, API gateway, inter-service communication).
- In-depth knowledge of AWS services (EC2, ECS/EKS, Lambda, S3, RDS) and their respective best practices.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and basic data engineering concepts.
- Experience with container orchestration (Kubernetes or ECS).
- Knowledge of CI/CD pipelines, using tools like Jenkins, GitLab CI, or CircleCI.
- Expertise in Infrastructure as Code (Terraform, CloudFormation) and version control (Git).
- Understanding of high availability, auto-scaling, and load balancing solutions.
- Track record of delivering projects using Agile methodologies.
- Ability to plan sprints, allocate resources, and manage project risks effectively.
- Experience with backlog management tools (Jira, Trello, Asana, etc.
- Demonstrated ability to lead and mentor teams, offering technical and career guidance.
- Excellent stakeholder management and the ability to translate complex technical details into business-focused discussions.
- Strong collaborative skills for working across cross-functional teams (Product, Operations, Data Science).
- Aptitude for strategic thinking, balancing short-term product milestones with long-term technical sustainability.
- Proven ability to handle high-pressure, fast-paced environments while maintaining quality and team morale.
- Bias for action and the ability to quickly pivot based on new information or market feedback.
Preferred Qualifications :
- Experience building AI-based SaaS solutions in a start-up or fast-paced organizational environment.
- Familiarity with serverless architectures (AWS Lambda, FaaS).
- Knowledge of model deployment, model monitoring, and model retraining strategies (MLOps).
- Understanding of SaaS metrics (ARR, MRR, churn, customer acquisition cost) and how technical decisions impact these metrics.
Why Join Us?
High-impact role: You will directly shape the AI-based SaaS platform that drives significant customer value.
Cutting-edge technology: Work with the latest tools in microservices, AWS, and AI/ML.
Team Leadership: Lead and mentor a team of talented developers and architects, fostering innovation and collaboration.
Competitive Compensation: Aligned with market standards.
Outcome-Driven Culture: Thrive in a fast-paced environment where autonomy, creativity, and results are highly valued.
Application Process
Technical Interview: Assessment of coding skills, design thinking, and architectural knowledge.
Leadership & Collaboration: Discussion on team management, conflict resolution, and stakeholder alignment strategies.
Final Discussion: Salary, benefits, and on-site working expectations.
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