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Senior Site Reliability Engineer - IAC Terraform Job Opening In Hyderabad – Now Hiring Options Executive Search Private Limited


Job description

<p><p><b>Job Title : </b> SRE Lead Engineer.<br/><br/> <b>Location : </b> Hyderabad, India.<br/><br/> We are seeking a DevOps / SRE Lead Engineer to architect and scale our client's multi-tenant SaaS platform with AI/ML at the core.<br/><br/> 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.<br/><br/> This is an opportunity to design and operate large-scale SaaS systems that integrate cutting-edge AI/ML capabilities.<br/><br/> <b>About the Role : </b><br/><br/> As the SRE Lead Engineer, you will be responsible for architecting, building, and maintaining infrastructure that powers a multi-tenant SaaS platform.<br/><br/> Youll drive reliability, scalability, and security, while supporting AI/ML pipelines in production.<br/><br/> This is a hands-on role with significant ownership, requiring both technical depth and leadership in site reliability practices.<br/><br/> <b>Key Responsibilities : </b><br/><br/> - Architect, design, and deploy end-to-end infrastructure for large-scale, microservices-based SaaS platforms.<br/><br/> - Ensure system reliability, scalability, and security for AI/ML model integrations and data pipelines.<br/><br/> - Automate environment provisioning and management using Terraform in AWS (EKS-focused).<br/><br/> - Implement full-stack observability across applications, networks, and operating systems.<br/><br/> - Lead incident management and participate in 24/7 on-call rotation.<br/><br/> - Optimize SaaS reliability while enabling REST APIs, SSO integrations (Okta/Auth0), and cloud data services (RDS/MySQL, Elasticsearch).<br/><br/> - Define and maintain backup and disaster recovery for critical workloads.<br/><br/> <b>Required Skills & Experience : </b><br/><br/> - 8+ years in SRE/DevOps roles, managing enterprise SaaS applications in production.<br/><br/> - Minimum 1 year experience with AI/ML infrastructure or model-serving environments.<br/><br/> - Strong expertise in AWS cloud, particularly EKS, container orchestration, and Kubernetes.<br/><br/> - Hands-on experience with Infrastructure as Code (Terraform), Docker, and scripting (Python, Bash).<br/><br/> - Solid Linux OS and networking fundamentals.<br/><br/> - Experience in monitoring and observability with ELK, CloudWatch, or similar tools.<br/><br/> - Strong track record with microservices, REST APIs, SSO, and cloud databases.<br/><br/> <b>Nice-to-Have Skills : </b><br/><br/> - Experience with MLOps and AI/ML pipeline observability.<br/><br/> - Cost optimization and security hardening in multi-tenant SaaS.<br/><br/> - Prior exposure to FinTech or enterprise finance solutions.<br/><br/> <b>Qualifications : </b><br/><br/> - Bachelors degree in Computer Science, Engineering, or related discipline.<br/><br/> - AWS Certified Solutions Architect (strongly preferred).<br/><br/> - Experience in early-stage or high-growth startups is an advantage.<br/><br/> <b>Why Join?</b><br/><br/> - Be at the forefront of AI/ML-powered SaaS innovation in FinTech.<br/><br/> - Work with a high-energy, entrepreneurial team building next-gen infrastructure.<br/><br/> - Take ownership of mission-critical reliability challenges.<br/><br/> - Grow your career in an environment that values impact, adaptability, and innovation.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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