Hire in days, not months

Hire Site Reliability Engineers

Build resilient platforms with SREs who automate reliability and scale infrastructure without increasing operational overhead.

Our Site Reliability Engineers (SRE) bridge the gap between development and operations, focusing on system availability, performance, and automation. We leverage AI-assisted execution to accelerate infrastructure provisioning and monitoring setup, delivering high-reliability systems at a competitive $25/hour rate.

Get Matched with SRE Talent

SRE delivery governance

Governance built for platform stability and operational excellence

Reduce operational risk with explicit automation standards, security discipline, and reliability monitoring tailored to cloud-native environments.

Controls teams ask for before scaling

Reliability, security, and automation discipline mapped to how modern platforms actually scale.

Shortlist turnaround

4.5 days median across recent SRE roles

Kickoff speed

10 days median from selection to sprint start

90-day continuity

96% of engagements active after month three

Security and compliance as code

Automated security scanning, IAM policy enforcement, and compliance checks integrated into the infrastructure lifecycle.

Compliance-ready

Full infrastructure ownership

Your team retains full ownership of all infrastructure code, configurations, and documentation.

Owner-ready

Reliability and SLO monitoring

Real-time tracking of SLOs, SLIs, and error budgets to ensure platform health and business alignment.

Reliability-focused

Talent pool preview

Vetted Site Reliability Engineer profiles ready to interview

Review a balanced shortlist with specialist, senior, and principal depth so you can hire for immediate delivery and long-term technical leadership.

View more profiles

Rizwan G.

Senior SRE Developer

Vetted

8 years

Role-matched

KubernetesTerraformAWSGo

Architected and managed a large-scale Kubernetes platform for a B2B SaaS company, reducing deployment time by 60% and improving platform uptime to 99.99%.

Asad V.

SRE Developer

Vetted

5 years

Role-matched

PythonCI/CDPrometheusAzure

Implemented comprehensive monitoring and automated incident response for a fintech startup, reducing MTTR by 45% and ensuring SOC2 compliance.

Saad K.

Principal SRE Developer

VettedArchitect

12 years

Role-matched

System DesignIaCGCPSecurity

Led the infrastructure migration from on-premise to GCP for a major ecommerce platform, optimizing costs by 30% while improving system resilience.

Need a wider shortlist?

We can share additional site reliability engineer profiles by seniority, timezone, and domain fit.

SRE engagement options

Choose the engagement model that matches your platform roadmap

Start with focused SRE work or scale to a full engineering pod as your platform complexity grows.

Model selection support

We map SRE role shape to platform pressure, scaling scope, and stakeholder expectations.

Part-time SRE support

Best for iterative infrastructure work, monitoring updates, and ongoing maintenance.

Starts from $2,000 / month

Best for: Steady improvements and platform maintenance

20-25 hrs/week
Infrastructure sprint support
Weekly progress reporting

Large-scale migrations and platform redesigns are scoped separately.

Get Started

Full-time SRE developer

Recommended

Best for core platform delivery with daily ownership and production momentum.

Starts from $4,000 / month ($25/hour)

Best for: Active platform or scaling roadmap execution

40 hrs/week
Full ownership
Daily progress updates

Third-party tool licensing and cloud hosting costs are billed separately.

Get Started

SRE engineering pod (2 SREs + 1 DevOps + 1 PM)

Best for new platform launches, major migrations, and cross-functional execution.

Starts from $12,000 / month

Best for: High-stakes initiatives with significant coordination needs

Cross-functional pod
Parallel workstreams
End-to-end orchestration

Specialized security audits are scoped separately.

Get Started

SRE hiring process

From platform roadmap to SRE contribution in under two weeks

Our process is tuned for SRE delivery risk: infrastructure depth, automation mindset, and reliability discipline.

Typical kickoff window

Most teams start SRE delivery with selected talent in 7-14 days.

Decision points are explicit: infrastructure depth, automation mindset, and communication quality are validated before kickoff.

1
Platform and reliability goal alignment
Step 1
We map your infrastructure objectives, scaling needs, and reliability goals to define role scope and success metrics.
Day 1-2
2
Shortlist with relevant SRE context
Step 2
Review candidates with prior experience in similar domains: cloud-native platforms, high-traffic SaaS, or regulated environments.
Day 2-5
3
Technical validation with SRE scenarios
Step 3
Interviews test infrastructure design, automation skills, and reliability tradeoff handling.
Day 5-10
4
Onboarding and platform integration
Step 4
Selected engineers join your workflows with clear ownership and immediate first-sprint goals.
Day 7-14

Why product teams hire us for SRE

SRE execution tuned for reliability, automation, and platform scale

You get engineers who can build and manage production-grade infrastructure without the overhead of a traditional operations team. AI-assisted delivery aligned to customer requirements.

Built for high-stakes platform delivery

Designed for teams shipping cloud-native SaaS, fintech products, ecommerce platforms, and performance-critical systems.

Typical start

10 days median to sprint kickoff

Uptime lift

99.9% median platform availability

Release speed

Deployment frequency increased quarter-over-quarter

Fast ramp on infrastructure codebases

Engineers integrate into your cloud setup, IaC, and release flow quickly. AI tools accelerate onboarding and iteration.

Velocity

Focus on reliability and automation

Engineers prioritize platform health, observability, and automation to ensure a high-quality user experience.

Reliability

Cost-efficient delivery

Selective AI acceleration reduces boilerplate and speeds delivery while maintaining quality at $25/hour.

Value

Service scope

SRE use cases focused on platform stability and engineering velocity

Our SRE services map infrastructure work to business outcomes, ensuring your platform scales reliably while your developers ship faster.

Infrastructure and Automation

Infrastructure as Code (IaC) implementation

Our SREs use Terraform and CloudFormation to provision and manage cloud resources, ensuring environment consistency and reducing manual configuration risk.

Kubernetes and container orchestration

Hire SREs to design, deploy, and scale Kubernetes clusters, optimizing resource utilization and improving application portability.

CI/CD pipeline automation

Build and maintain robust deployment pipelines that automate testing, security scanning, and release orchestration for faster time-to-market.

Reliability and Observability

Observability and monitoring setup

Implement comprehensive monitoring with Prometheus, Grafana, and ELK to gain real-time insights into system health and performance.

Incident management and on-call rotation

Establish incident response protocols and on-call rotations to minimize MTTR (Mean Time To Recovery) and ensure high system availability.

SLO/SLI definition and tracking

Define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to align engineering efforts with business reliability requirements.

Scaling and Security

Auto-scaling and capacity planning

Design auto-scaling strategies to handle traffic spikes efficiently while optimizing infrastructure costs during low-demand periods.

Security hardening and compliance

Harden infrastructure, implement IAM policies, and ensure compliance with industry standards like SOC2 or HIPAA for regulated environments.

Database reliability and scaling

Optimize database performance, implement high-availability clusters, and manage backups to ensure data integrity and system resilience.

Engineering stack

Modern SRE stack for automation, observability, and resilience

We use industry-standard tools to build and manage infrastructure that is scalable, secure, and easy to maintain.

AWS

GCP

Azure

Kubernetes

Terraform

Docker

Prometheus

Grafana

Datadog

GitHub Actions

Python

Hiring readiness

SRE hiring playbook: evaluate quickly and onboard with less risk

Use this decision hub to align SRE interview depth, set quality boundaries, and connect hiring to measurable outcomes.

Role scope Interview playbook Business impact

Responsibilities / Role Scope

Owns

Infrastructure provisioning and management via IaC
Platform availability, performance, and scalability
Incident response and root cause analysis (RCA)
Automation of operational tasks and CI/CD pipelines

Collaborates on

Software engineers to improve application reliability and deployment speed
Security teams to implement and maintain infrastructure security controls
Product owners to define and track reliability metrics (SLOs/SLIs)
Management to align infrastructure investments with business growth goals

Interview Questions

Structured by level for consistent and faster interviewer calibration.

junior

Fundamentals and execution reliability

What is the difference between a container and a virtual machine?
How do you use Git for versioning infrastructure code?
What are the basic components of a CI/CD pipeline?
How do you monitor system health using basic tools like top, df, and netstat?

mid

Delivery ownership and decision quality

How do you manage secrets in a Kubernetes environment?
Explain the concept of 'Error Budget' and how it relates to SLOs.
How would you troubleshoot a sudden spike in 5xx errors in a production environment?
What are the advantages of using a Service Mesh like Istio?
How do you implement blue-green or canary deployments using CI/CD?

senior

Architecture, risk control, and leadership

How do you architect a multi-region, high-availability infrastructure on AWS/GCP?
How do you design a chaos engineering experiment to test system resilience?
How would you migrate a legacy monolithic application to a microservices architecture on Kubernetes?
How do you balance infrastructure cost optimization with performance and reliability requirements?
How do you establish a culture of 'blameless post-mortems' within an engineering team?

Why Outsource This Role

Improved platform reliability

Reduce downtime and improve user trust with SREs who focus on system availability and performance. AI-assisted monitoring setup speeds up detection.

Uptime improved to 99.9% or higher in 6 months

Cost-efficient infrastructure

Optimize cloud spend and reduce operational toil with automation. Best-rate positioning for senior SRE talent at $25/hour.

Infrastructure costs reduced by 15-25% via optimization

Faster engineering velocity

Enable developers to ship faster with automated CI/CD and self-service infrastructure tools.

Deployment frequency increased by 2x in 12 weeks

Reduced operational risk

Minimize human error and security gaps with infrastructure as code and automated compliance checks.

MTTR reduced by 30-40% through automated alerting

Scalable platform growth

Build a platform that can handle 10x traffic growth without a 10x increase in operations staff.

Platform capacity scaled 5x with zero downtime

Benefit	Outcome	Metric
Improved platform reliability	Reduce downtime and improve user trust with SREs who focus on system availability and performance. AI-assisted monitoring setup speeds up detection.	Uptime improved to 99.9% or higher in 6 months
Cost-efficient infrastructure	Optimize cloud spend and reduce operational toil with automation. Best-rate positioning for senior SRE talent at $25/hour.	Infrastructure costs reduced by 15-25% via optimization
Faster engineering velocity	Enable developers to ship faster with automated CI/CD and self-service infrastructure tools.	Deployment frequency increased by 2x in 12 weeks
Reduced operational risk	Minimize human error and security gaps with infrastructure as code and automated compliance checks.	MTTR reduced by 30-40% through automated alerting
Scalable platform growth	Build a platform that can handle 10x traffic growth without a 10x increase in operations staff.	Platform capacity scaled 5x with zero downtime

Testimonials

Client feedback from delivery partnerships across product teams.

“The SRE developer integrated seamlessly and helped us migrate our platform to Kubernetes ahead of schedule with a 40% improvement in deployment speed.”

David S.

Head of Infrastructure, SaaS Platform

“We significantly reduced our platform downtime and improved observability within three months of hiring through Codexty. AI-assisted delivery kept costs predictable.”

Sarah L.

Engineering Manager, Fintech Startup

FAQ

Answers to practical decision questions before you hire.

How quickly can an SRE start?

Most SRE projects begin onboarding within 7-14 days after role alignment and interview completion.

Do you work with AWS, GCP, and Azure?

Yes. Our SREs are experienced across all major cloud platforms and modern cloud-native tools like Kubernetes and Terraform.

Can you help with infrastructure migration?

Yes. We support migrations from on-premise to cloud, or between cloud providers, with a focus on reliability and minimal downtime.

How do you leverage AI in SRE delivery?

We use AI-assisted tooling where it accelerates delivery—IaC scaffolding, monitoring configuration, and log analysis—while maintaining strict quality controls and human review.

What is the hourly rate for SREs?

Our SRE services start at $25/hour, providing high-quality infrastructure and reliability engineering at a competitive rate.