Site Reliability Engineer Lead

Company: A Valued Client of Options Executive Search

Website: Visit Website

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series A

Industry: Fintech

Salary Range: ₹ 45-55 Lacs PA

Job Description

This is a Permanente role with a Fast-growing AI-powered SaaS company in the FinTech space - A Valued Client of Options Executive Search.

We are seeking a DevOps / SRE Lead Engineer to architect and scale our clients multi-tenant SaaS platform with AI/ML at the core.

Our client, a fast-growing AI-powered SaaS company in the FinTech space, is looking for a Site Reliability Engineering (SRE) Lead Engineer to join their dynamic team.

This is an opportunity to design and operate large-scale SaaS systems that integrate cutting-edge AI/ML capabilities.

About The Role

• As the SRE Lead Engineer, you will be responsible for architecting, building, and maintaining infrastructure that powers a multi-tenant SaaS platform.
• Youll drive reliability, scalability, and security, while supporting AI/ML pipelines in production.
• This is a hands-on role with significant ownership, requiring both technical depth and leadership in site reliability practices.
  
  

• Architect, design, and deploy end-to-end infrastructure for large-scale, microservices-based SaaS platforms.
• Ensure system reliability, scalability, and security for AI/ML model integrations and data pipelines.
• Automate environment provisioning and management using Terraform in AWS (EKS-focused).
• Implement full-stack observability across applications, networks, and operating systems.
• Lead incident management and participate in 24/7 on-call rotation.
• Optimize SaaS reliability while enabling REST APIs, SSO integrations (Okta/Auth0), and cloud data services (RDS/MySQL, Elasticsearch).
• Define and maintain backup and disaster recovery for critical workloads.
  
  

• 8+ years in SRE/DevOps roles, managing enterprise SaaS applications in production.
• Minimum 1 year experience with AI/ML infrastructure or model-serving environments.
• Strong expertise in AWS cloud, particularly EKS, container orchestration, and Kubernetes.
• Hands-on experience with Infrastructure as Code (Terraform), Docker, and scripting (Python, Bash).
• Solid Linux OS and networking fundamentals.
• Experience in monitoring and observability with ELK, CloudWatch, or similar tools.
• Strong track record with microservices, REST APIs, SSO, and cloud databases.
  
  

• Experience with MLOps and AI/ML pipeline observability.
• Cost optimization and security hardening in multi-tenant SaaS.
• Prior exposure to FinTech or enterprise finance solutions.
  
  

• Bachelors degree in Computer Science, Engineering, or related discipline.
• AWS Certified Solutions Architect (strongly preferred).
• Experience in early-stage or high-growth startups is an advantage.
  
  

• Be at the forefront of AI/ML-powered SaaS innovation in FinTech.
• Work with a high-energy, entrepreneurial team building next-gen infrastructure.
• Take ownership of mission-critical reliability challenges.
• Grow your career in an environment that values impact, adaptability, and innovation.