Site Reliability Engineer

Modus Create

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

Posted 10/31/2026contractRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining reliable systems on AWS, with a strong focus on observability, incident response, and performance optimization. Proficient in Python backend engineering and capable of mentoring SRE engineers while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

AWS ExpertiseProduction Python Backend EngineeringIncident Response and On-Call RotationObservability Design and ImplementationInfrastructure-as-Code Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SREDevOpsPlatform EngineeringIncident ResponsePostmortemsSLOsContainerizationCI/CD PipelinesScripting in PythonLinux/Unix Administration

Soft Skills

Clear CommunicationCollaborationMentoring

Tools & Technologies

AWS ALBECS/FargateRDS AuroraLambdaTerraformCloudFormationKubernetesDockerGitObservability Tools

Industry Keywords

Reliability StandardsSLASLOError BudgetsPerformance OptimizationToil-ReductionChaos EngineeringAI InfrastructureHigh-Growth SRE ProgramsCloud Security

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 AWS infrastructure and Python services
Design and maintain observability systems and define SLAs, SLOs, error budgets, and monitoring strategies
Own 24/7 P0 on-call rotation 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
Lead incident investigations, troubleshooting, root-cause analysis, and postmortems
Implement reliability improvements, capacity planning, and performance optimization
Build self-healing automation and toil-reduction initiatives
Collaborate with cross-functional teams to integrate reliability and observability into delivery
Support AI applications and services and their operational reliability requirements
Mentor and onboard additional SRE engineers as the team scales
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
Coordinate with security, platform, development, client, and Modus teams

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 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, including metrics, logging, tracing, and alerting
Understanding of containerization, including Kubernetes and Docker, and deployment automation
Experience writing and maintaining infrastructure-as-code, such as Terraform, CloudFormation, or Pulumi
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: experience with internal developer platforms, chaos engineering, cloud security and compliance, AI infrastructure or LLM serving, mentoring, FinOps, AI-generated incident reports, Python performance tuning, or high-growth SRE programs

Benefits

Comp & perks

Fully remote work
Global, collaborative work 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
Support for learning from incidents and continuous improvement