Custom Software Engineer

Overview

Develop and operate custom software solutions across application and infrastructure layers, owning customer environments end-to-end. Focus on reliability, scalability, operational efficiency, automation and AI-assisted troubleshooting while partnering with SRE on platform reliability.

What you'll do

• Own customer environments across application and infrastructure layers, including configurations, deployments, patching and scaling.
• Execute and automate runbook-driven tasks, including SQL scripts, queue management, data fixes and restores.
• Build automation using PowerShell, Python and GitHub Actions to convert manual processes into self-service workflows.
• Use AI tools such as Copilot and Claude AI for code generation, log analysis and faster root cause analysis.
• Monitor system health using Datadog APM, logs, dashboards and monitors.
• Respond to alerts using PagerDuty, Opsgenie and ServiceNow and ensure timely incident resolution.
• Troubleshoot and resolve incidents across application and infrastructure layers.
• Partner with SRE to ensure overall platform reliability.
• Participate in a 24x7 on-call rotation.
• Document processes and mentor junior engineers.
• Continuously identify and eliminate operational toil through automation.

What you'll need

• BTECH.
• Minimum 5 year(s) of experience.
• Experience in systems, operations or platform engineering roles.
• Hands-on experience across both application and infrastructure domains.
• Proven experience in production support, monitoring and incident management.
• An automation mindset and the ability to automate repetitive tasks and improve processes.
• Windows Server experience, including RDP, IIS, Services and Task Scheduler.
• Linux experience, including SSH, systemctl, bash and cron.
• Strong SQL skills, including SSMS, backups, restores, troubleshooting and data fixes.
• Hands-on experience with Datadog, including APM, logs, dashboards and monitors.
• Experience with on-call or incident tools such as PagerDuty, Opsgenie or ServiceNow.
• Strong alert triaging and incident handling skills.
• Experience with XML, JSON and property files.
• Experience with PowerShell, Python or Bash.
• Comfort using tools such as Copilot to write and debug code and accelerate troubleshooting.
• Cloud fundamentals, including AWS/Azure basics.
• Experience with server resizing and patching.
• Networking basics, including TLS/certificates and load balancing.
• Experience with web servers such as IIS and Apache Tomcat.
• Git and GitHub workflows.
• Ability to troubleshoot under pressure across application and infrastructure layers.
• Strong attention to detail and the ability to follow and improve runbooks.
• Strong interest in using AI to reduce operational effort and improve system reliability.

Nice to have

• Experience with infrastructure automation tools such as Terraform and Ansible.
• Familiarity with AI/ML-based observability or predictive alerting.
• Experience in teams that blend engineering and operations responsibilities.

Details

• Location: Hyderabad.
• Participate in a 24x7 on-call rotation.