Site Reliability Engineer

Modus Create

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

Posted 10/31/2026contractRemote • RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building reliable and observable systems, with a strong focus on AWS infrastructure and Python services. Capable of leading incident response processes, mentoring SRE engineers, and implementing reliability improvements across backend services.

Highest-signal resume keywords

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SREDevOpsPlatform EngineeringContainerizationCI/CD PipelinesScripting in PythonLinux/Unix AdministrationTroubleshooting Distributed SystemsMetrics and LoggingPerformance Optimization

Soft Skills

Clear CommunicationMentoringCollaboration

Tools & Technologies

AWSTerraformCloudFormationKubernetesDockerGitECS/FargateRDS AuroraLambdaAI Infrastructure

Industry Keywords

SLASLOIncident InvestigationPostmortemToil ReductionChaos EngineeringCloud SecurityAI ApplicationsHigh-Growth SRE ProgramsFinOps

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
Work embedded within cross-functional teams with developers, platform engineers, and operations teams
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 lead incident investigations and postmortems
Participate in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA
Validate and escalate AI-generated incident reports to platform teams
Establish reliability standards and SLA targets for backend services
Mentor and onboard additional SRE engineers as the team scales from 4 to 8–12
Implement reliability improvements, capacity planning, and performance optimization
Build self-healing automation and toil-reduction initiatives
Integrate reliability and observability into delivery workflows
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
Collaborate with security, platform, and development teams on reliability and operations

Requirements

What you’ll need

6+ years hands-on experience in SRE, DevOps, or Platform Engineering at scale
Strong proficiency in one cloud platform; deep AWS expertise (ALB, ECS/Fargate, RDS Aurora, Lambda, IAM)
Production Python backend engineering experience, including debugging and optimizing Python services in containers and Lambdas
Participation in the 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
Understanding of containerization, including Kubernetes and Docker, and deployment automation
Experience writing and maintaining infrastructure-as-code using 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
Bonus: internal developer platforms, chaos engineering, cloud security and compliance, AI infrastructure/LLM serving, mentoring, FinOps, AI-generated incident report validation, Python performance tuning, and high-growth SRE programs

Benefits

Comp & perks

Fully remote work
Global remote team
Collaborative, innovative environment
Opportunities to mentor and onboard additional SRE engineers
Opportunities to advise leadership on reliability strategy
Work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability
Direct impact on system uptime, performance, and operational efficiency
Collaboration with client and Modus teams
Reliable high-speed internet required for remote work