Site Reliability Engineer

🔥 13 hours ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 15%

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Modus Create

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Modus Create is a digital transformation consulting firm dedicated to helping clients build competitive advantage through digital innovation. Our global team of strategists, designers, and technologists has helped the world’s biggest brands deliver powerful experiences. We specialize in strategic consulting, full lifecycle product development, platform modernization, and digital operations.

📋 Description

• Build reliable, observable systems that enable client teams to operate confidently at scale • Own system reliability across the backend stack, including AWS infrastructure and Python services • Design and maintain observability systems and define SLAs, SLOs, error budgets, and monitoring strategies • Build incident response processes and participate in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA • Validate and escalate AI-generated incident reports to platform teams • Lead incident investigations, troubleshooting, root-cause analysis, and postmortems • Establish reliability standards and SLA targets for backend services • Mentor and onboard additional SRE engineers as the team scales • Implement reliability improvements, capacity planning, and performance optimization • Build self-healing automation and toil-reduction initiatives • Collaborate with cross-functional, client, security, platform, and development teams • Support AI applications and services and their operational reliability requirements • Create runbooks, architecture documentation, and troubleshooting guides • Review infrastructure changes and contribute to reliability standards • Tune systems for latency, throughput, and resource efficiency using observability data • Advise leadership on reliability strategy and operational excellence

🎯 Requirements

• 6+ years hands-on experience in SRE, DevOps, or Platform Engineering at scale • Strong proficiency in one cloud platform, with deep AWS expertise including ALB, ECS/Fargate, RDS Aurora, Lambda, and IAM • Production Python backend engineering experience, including debugging and optimizing Python services in containers and Lambdas • Participation in on-call rotation with support duty during and after business hours • Experience building or bootstrapping SRE programs from scratch • Hands-on experience with incident response, on-call rotations, postmortems, and SLOs • Deep experience designing and implementing observability: metrics, logging, tracing, and alerting • Solid understanding of Kubernetes, Docker, and deployment automation • Experience writing and maintaining infrastructure-as-code with Terraform, CloudFormation, Pulumi, or similar tools • Hands-on experience with CI/CD pipelines and deployment strategies • Ability to troubleshoot distributed systems and complex production failures • Clear communication skills and ability to explain reliability trade-offs to stakeholders • Scripting proficiency in Python, Bash, or Go • Linux/Unix administration fundamentals • Version control with Git, collaboration workflows, and infrastructure automation patterns • Availability for regular working sessions and discovery workshops with client teams • Ability to work independently while collaborating with client and Modus leaders • Daily overlap with client business hours • Reliable high-speed internet • Ability to document solutions, share learnings, and contribute to internal wikis and runbooks • Ability to pair program and collaborate on complex reliability and operational problems • Willingness to participate in code and architecture reviews • Ability to coordinate with security, platform, and development teams

🏖️ Benefits

• Fully remote work environment • Reliable high-speed internet requirement/equipment necessity • Opportunities to learn from incidents and continuously improve systems • Work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability • Direct impact on system uptime, performance, and operational efficiency • Collaboration with enterprise teams and contribution to SRE best practices

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