Engineering

Site Reliability Engineer

Modus Create·Remote, nigeria·Contractor·Remote
EngineeringseniorContractorRemote
-Closes Dec 24, 2026

Site Reliability Engineer Engineer

Remote, Contract

About Us

Modus Create is a digital consulting partner that helps ambitious organizations design, build, and modernize digital products, platforms, and AI-powered experiences. We work shoulder-to-shoulder with client teams to move from idea to production quickly and sustainably, with a clear path to scale.

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.

We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world's largest brands deliver powerful digital experiences.

Opportunity

We are seeking an experienced Site Reliability Engineer to build reliable, observable systems that enable client teams to operate with confidence at scale. You'll work embedded within cross-functional teamspartnering with developers, platform engineers, and operations teamsto reduce toil, improve system reliability, and prevent incidents before they impact users.

As a Senior Site Reliability Engineer, you take ownership of system reliability across our full backend stackfrom AWS infrastructure (ALB, ECS/Fargate, Aurora) to Python services. You design and maintain observability systems, define SLAs and error budgets, build incident response processes, and drive improvements in uptime and performance. You'll participate in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA, lead incident investigations and postmortems, and help teams shift from reactive firefighting to proactive reliability engineering. You'll also mentor and onboard additional SRE engineers as the team scales from 4 to 8-12 over the coming months.

The Site Reliability Engineer will work shoulder-to-shoulder with cross-functional teams to ensure systems remain resilient, scalable, and observable across client environments. You'll also have opportunities to advise leadership on reliability strategy and help shape how organizations approach operational excellence.

Requirements

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; comfortable debugging and optimizing Python services in containers and Lambdas

Site Reliability Engineering roles require 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, alerting)

Solid understanding of containerization (Kubernetes, Docker) and deployment automation

Experience writing and maintaining infrastructure-as-code (Terraform, CloudFormation, Pulumi, etc.)

Hands-on experience with CI/CD pipelines and deployment strategies

Ability to troubleshoot distributed systems and production issues with debugging complex failures

Clear communication skills and the ability to explain reliability trade-offs to stakeholders

Scripting proficiency (Python, Bash, Go); Linux/Unix administration fundamentals

Version control (Git), collaboration workflows, and infrastructure automation patterns

Key Responsibilities & Deliverables

Design observability systems (metrics, logging, tracing) and define SLOs, error budgets, and monitoring strategies aligned with business needs

Own 24/7 P0 on-call rotation with 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 team scales to 8-12

Participate in incident response, troubleshooting, root-cause analysis, and postmortems

Implement reliability improvements, capacity planning, and performance optimization

Build self-healing automation and toil-reduction initiatives to minimize manual operational work

Collaborate with teams to integrate reliability and observability into delivery

Support modern workloads including AI applications and services; understand their operational and reliability requirements

Create runbooks, architecture documentation, and troubleshooting guides to enable independence

Review infrastructure changes and contribute to reliability standards and consistency

Actively tune systems for latency, throughput, and resource efficiency based on observability data

Team Collaboration

Availability for regular working sessions and discovery workshops with client teams

Ability to work independently while collaborating with client & Modus leaders

Overlap with client business hours daily is expected

Reliable high-speed internet is a must

Documenting solutions, sharing learnings with the team, contributing to internal wikis and runbooks

Pair program and collaborate on complex reliability and operational problems

Welcome code and architecture reviews; seek input on reliability designs

Ability to coordinate with security, platform, and development teams on reliability and operations

Bonus Skills

Experience designing or operating internal developer platforms

Familiarity with chaos engineering, resilience testing, or failure scenario planning

Cloud security and compliance experience (audit readiness, security hardening)

Experience with AI infrastructure, LLM serving, or agentic system operations

Mentoring junior engineers or leading technical design discussions

Cost optimization and cloud FinOps practices

Experience with AI-generated incident reports and validation workflows

Python performance tuning and backend optimization

Building SRE programs in high-growth or fast-scaling environments

You’ll Love

Learn from every incident and continuously improve systems

Solve challenging reliability, observability, and operational problems

Work with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability

Make a direct impact on system uptime, performance, and operational efficiency

Collaborate with great teams and help shape enterprise reliability and SRE best practices

Support teams operating AI applications and services reliably and safely at scale

By joining our team, you'll be part of a winning squad that plays to each other's strengths and celebrates every success together

Originally posted on Himalayas

Apply Now

At a glance

Company

Modus Create

Location

Remote, nigeria

Employment

Contractor

Work style

Remote

Experience

senior

Valid until

December 24, 2026

Created

October 25, 2026

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