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
• Write clean, maintainable, testable, and production-ready code.
• Participate in code reviews, debugging, testing, and technical discussions.
• Build, maintain, and improve
• Work with
• 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
• Troubleshoot application and production issues and perform
• 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

Qualifications

• 3 to 8 years
• Location(s):
• On-site / Permanent
• Up to INR 20 LPA (Based on fitment)
• Notice Period:
• 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
• Good understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.
• Hands-on experience with
• Familiarity with Infrastructure-as-Code tools such as
• Ability to analyze logs, metrics, alerts, and traces for troubleshooting.
• Understanding of SRE concepts including
• 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.