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Monks

Site Reliability Engineer (Remote - On Contract)

Posted 21 Days Ago
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In-Office or Remote
Hiring Remotely in Bangalore, Bengaluru Urban, Karnataka
Senior level
In-Office or Remote
Hiring Remotely in Bangalore, Bengaluru Urban, Karnataka
Senior level
The Site Reliability Engineer will enhance reliability and performance of DRaaS solutions, focusing on observability and automation, while coordinating with various teams for operational excellence.
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Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

Location: Remote / IndiaExperience Level: 5+ yearsType: Contractor (2 months)

About the Role

We are looking for a Site Reliability Engineer (SRE) with a strong background in observability, automation, and platform resilience to drive the operability and reliability of our Disaster Recovery as a Service (DRaaS) solution.

This role is essential in ensuring our DR environments are resilient, observable, and continuously improving. You’ll collaborate with DR architects, security, infrastructure, and engineering teams to define SLIs/SLOs for critical systems, reduce operational toil, and lead efforts such as chaos engineering and game-day simulations.

Key Responsibilities
  • Build and maintain observability dashboards and proactive alerting systems to monitor DR environments across Azure, AWS, and private cloud (e.g., HPE GreenLake).
  • Define and track Service Level Indicators (SLIs) and Error Budgets aligned with strict RPO/RTO targets.
  • Collaborate on runbook automation, synthetic testing, and validation pipelines for DR readiness.
  • Lead chaos engineering initiatives and game-day exercises to proactively identify weak points and ensure high system resilience.
  • Conduct post-incident reviews, implement feedback loops, and own the resulting automation backlog.
  • Work with DR architecture and engineering teams to drive infrastructure as code (IaC) practices and platform reliability improvements.
  • Participate in quarterly failover/failback simulations, monitor performance, and propose observability enhancements.
  • Help define SLOs for protected application groups (VPGs) and contribute to reporting for DR testing and compliance audits.
  • Advocate for and implement best practices around toil reduction, incident response, and on-call efficiency.

Requirements

  • 5+ years of experience in SRE, DevOps, or Platform Engineering roles.
  • Strong hands-on experience with observability tools like Grafana, Prometheus, Datadog, or Splunk.
  • Experience designing and maintaining SLIs/SLOs, error budgets, and availability dashboards.
  • Proficiency in at least one scripting or programming language (e.g., Python, Bash, Go).
  • Knowledge of disaster recovery principles, RPO/RTO targets, and infrastructure failover practices.
  • Experience with incident response, blameless postmortems, and tracking improvement actions.
  • Familiarity with IaC tools such as Terraform, Ansible, or CloudFormation.
  • Experience with CI/CD, automated testing, and cloud-native deployments in Azure or AWS.
  • Strong problem-solving and collaboration skills, with the ability to work across cross-functional teams.
  • Fluent in English (written and spoken).

Nice to Have (strong plus)

  • Experience with Zerto, Veeam, or similar DR orchestration platforms.
  • Background in chaos engineering using tools like Gremlin or LitmusChaos.
  • Exposure to TISAX, ISO 27001, or other compliance-aligned monitoring.
  • Knowledge of Kubernetes and container orchestration for DR environments.
  • Previous experience in platform reliability for mission-critical systems.
    #LI-PP1
    #LI-Remote

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.


We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. 

Top Skills

Ansible
AWS
Azure
Bash
CloudFormation
Datadog
Go
Grafana
Hpe Greenlake
Prometheus
Python
Splunk
Terraform

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