Site Reliability Engineer (SRE) / DevOps Engineer

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.

At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes - putting people first, embracing continuous learning, and thriving through collaboration and inclusion - we nurture our people to deliver exceptional customer service.

If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work-together

Role:  Site Reliability Engineer (SRE)

Location: Gurgaon (ONSITE) - 5 Days Work from Office (Arya Samaj Rd, Durga Colony, Sector 39, Gurugram, Haryana 122003)

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.

Key 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.

Technical Skills

• Strong hands-on experience with Python for development and automation.
• Experience developing scripts, APIs, integrations, utilities, or backend services.
• Good understanding of software engineering principles, debugging, logging, testing, and exception handling.
• Experience with REST APIs, JSON, Git, pull requests, and code reviews.
• Strong knowledge of Linux/Unix environments and basic Windows administration.
• Good understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Hands-on experience with Docker and Kubernetes.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or equivalent.
• Familiarity with Infrastructure-as-Code tools such as Terraform is preferred.
• Experience with monitoring and observability tools such as Grafana, Prometheus, Power BI, or equivalent.
• Ability to analyze logs, metrics, alerts, and traces for troubleshooting.
• Understanding of SRE concepts including SLIs, SLOs, availability, reliability, error budgets, and RCA.
• Experience with JIRA, ServiceNow, and Confluence is desirable.

Preferred Experience

• 3-6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.
• Strong Python development or automation experience.
• Experience supporting applications across development, deployment, and production environments.
• 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.

Soft Skills

• 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.

Interested?

Please share your updated resume with [email protected] / [email protected] / [email protected]

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