Site Reliability Engineer

Luxoft; Dadri; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Luxoft is seeking a Site Reliability Engineer with 10+ years of experience to enhance reliability for a client in the banking sector. You will own monitoring, resilience testing, DR planning, and SLI/SLO management across cloud-native environments.

The role requires strong automation, AI-driven operations, and incident response capabilities. You'll work on observability design, capacity planning, and continuous improvement, leveraging tools like Elastic, Splunk, Grafana, Prometheus, and

Qualifications

• 10+ years of SRE/production engineering experience in distributed systems and cloud-native environments.
• Experience with Kubernetes/OpenShift and modern app architectures.
• Observability solutions using metrics/logs/traces with Elastic, Splunk, Grafana, Prometheus, or OpenTelemetry.
• IaC, DevSecOps, Zero Trust security principles.

Responsibilities

• Improve service reliability, availability, and operational resilience through monitoring, resilience testing, DR planning, and SLI/SLO management.
• Design and enhance observability capabilities including dashboards, alerting, synthetic monitoring, and AI-assisted insights.
• Develop automation, self-healing capabilities, CI/CD tooling, and IaC to improve platform reliability.
• Participate in major incident response, RCA, and continuous improvement to minimize customer impact.
• Design and implement AI-driven operational solutions and promote AI-assisted engineering practices.
• Drive capacity planning and performance optimisations to meet current and future demand.

Skills

SRE experience

Distributed systems

Kubernetes/OpenShift

Observability

IaC

DevSecOps

Zero Trust

Python

Java

Go

PowerShell

Troubleshooting

Tools

Elastic

Splunk

Grafana

Prometheus

OpenTelemetry

Job description

Project description

We are seeking a Site Reliability Engineer with more than 10 years of experience to support our client in the Australian banking sector. The role centers on improving service reliability, availability, and operational resilience through comprehensive monitoring, resilience testing, disaster recovery planning, and management of SLIs and SLOs.

Responsibilities

• 1. Improve service reliability, availability, and operational resilience through robust monitoring, resilience testing, disaster recovery planning, and management of SLIs, SLOs, and error budgets.
• 2. Design and enhance observability capabilities, including monitoring, alerting, dashboards, synthetic monitoring, automated health checks, and visibility across customer journeys and cloud environments.
• 3. Develop automation, self-healing capabilities, operational tooling, Infrastructure as Code and CI/CD practices to reduce manual effort and improve platform reliability.
• 4. Participate in major incident response, service restoration, root cause analysis, and continuous improvement initiatives to minimise customer impact and improve recovery times.
• 5. Design and implement AI-driven operational solutions, utilise LLMs for incident triage and remediation, and drive adoption of GitHub Copilot and AI-assisted engineering practices.
• 6. Drive capacity management, performance optimisation and reliability improvements to ensure services meet current and future demand.

SKILLS

Must have

• We are seeking a Site Reliability Engineer with more than 10 years of experience to support our client in the Australian banking sector.
• 1. Demonstrated experience in Site Reliability Engineering (SRE), Production Engineering, DevOps, or Platform Engineering, with a strong understanding of distributed systems, cloud-native technologies, Kubernetes/OpenShift, and modern application architectures.
• 2. Observability - Ability to use scripting and tooling to implement observability solutions, enabling the collection, analysis, and visualization of metrics, logs, and traces to support incident detection, diagnosis, and continuous service improvement. Familiarity with tools such as Elastic, Splunk, Grafana, Prometheus, OpenTelemetry, or similar enterprise monitoring platforms, and drive preventative improvements that enhance application performance and availability.
• 3. Knowledge of enterprise application, middleware, and content management platforms, including FileNet, ICN, WAS, container platforms, databases and integration technologies.
• 4. Reliability and Scalability - Ability to design and operate systems for high availability, fault tolerance, and disaster recovery, while ensuring systems can scale to meet current and future demand.
• 5. Familiarity with Infrastructure as Code (IaC), DevSecOps practices and Zero Trust security principles.
• 6. Proficiency in DevOps toolkits such as Ansible and Chef to support and drive CI/CD and reliability-automation initiatives.
• 7. Programming and scripting languages including Python, Java, Go, PowerShell, or equivalent technologies to support automation and platform engineering initiatives.
• 8. Troubleshooting - Capability to systematically identify, diagnose, and resolve technical issues across systems, applications, and networks, using analytical methods and tools to restore functionality, minimize disruption, and ensure stable operations.

Nice to have

• Familiarity with Infrastructure as Code (IaC), DevSecOps practices and Zero Trust security principles.