Overview

Hiring for: A US-based, AI-first data solutions company founded by seasoned technology leaders.

Responsibilities

• Develop and enhance internal applications, automation tools, APIs, utilities, and platform capabilities using Python .
• Write clean, maintainable, testable, and production-ready code.
• Participate in code reviews, debugging, testing, and technical discussions.
• Build, maintain, and improve CI/CD pipelines and automated deployment processes.
• Work with Docker and Kubernetes for application deployment and operations.
• Support on prem and cloud-based application and infrastructure deployments.
• Maintain reliable, scalable, secure, and highly available production environments.
• Implement and manage monitoring, logging, alerting, and observability solutions.
• Contribute to defining and tracking SLIs, SLOs, and error budgets .
• Troubleshoot application and production issues and perform Root Cause Analysis (RCA) .
• Identify recurring operational problems and address them through automation and engineering improvements.
• Support incident response, change management, deployment governance, and disaster recovery practices.
• Maintain runbooks, SOPs, incident documentation, and technical documentation.
• Collaborate with Engineering, Product, Platform, Security, Operations, and external teams.
• Strong hands-on experience with Python for development and automation .

Qualifications

• Location(s): Gurgaon
• Type: On-site / Permanent
• Salary: Up to INR 20 LPA (Based on fitment)
• Notice Period: 15 days
• About the Role
• We are looking for a hands-on Site Reliability Engineer (SRE) / DevOps Engineer with strong programming and automation skills.
• The role will initially involve development and automation work, helping the engineer build a strong understanding of the applications and platform. Over time, the role will expand into broader DevOps and SRE responsibilities , including CI/CD, cloud infrastructure, observability, production reliability, incident management, and operational automation.
• The ideal candidate should be comfortable working with both application code and production systems and should use engineering and automation to improve reliability and reduce manual effort.
• Good understanding of software engineering principles, debugging, logging, testing, and exception handling.
• Strong knowledge of Linux/Unix environments and basic Windows administration.
• Positive understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.
• Hands-on experience with Docker and Kubernetes .
• Familiarity with Infrastructure-as-Code tools such as Terraform is preferred.
• Ability to analyze logs, metrics, alerts, and traces for troubleshooting.
• Understanding of SRE concepts including SLIs, SLOs, availability, reliability, error budgets, and RCA .
• 3–6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.
• Strong Python development or automation experience.
• Exposure to cloud-native, distributed, or production-grade systems.
• Understanding of security and compliance best practices.
• Familiarity with AI-assisted engineering tools such as GitHub Copilot, Claude Code, or similar tools.
• Strong analytical and troubleshooting skills.
• Engineering and automation mindset.
• Good written and verbal communication skills.
• Effective cross-functional collaboration.
• Ownership-driven approach to problem solving.
• Ability to remain structured during production incidents.