Site Reliability Engineer

Modus Create

. Build reliable, observable systems that enable client teams to operate confidently at scale .

Posted 10/31/2026contractRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Site Reliability Engineering (SRE) with a strong focus on AWS infrastructure, Python backend services, and observability practices. Capable of leading incident response efforts, mentoring engineers, and implementing reliability improvements across complex systems.

Highest-signal resume keywords

AWS ExpertiseProduction Python EngineeringIncident Response ManagementObservability Design and ImplementationInfrastructure-as-Code Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Site Reliability EngineeringPython ProgrammingAWS InfrastructureKubernetesDockerTerraformCloudFormationCI/CD PipelinesScripting in BashLinux/Unix Administration

Soft Skills

Clear CommunicationCollaborationMentoringProblem-SolvingIndependent Work

Tools & Technologies

ALBECS/FargateRDS AuroraLambdaGitMonitoring ToolsLogging ToolsTracing ToolsAlerting SystemsRunbook Documentation

Industry Keywords

SRE ProgramsOperational ReliabilityIncident InvestigationsService Level AgreementsError Budgets

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerKubernetesLinuxPythonTerraformUnixGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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