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Hire Systems Engineers

Ship reliable systems with senior engineers who design infrastructure, optimize performance, and integrate AI-assisted delivery for faster outcomes.

From B2B SaaS and ecommerce to fintech and internal tooling, our systems engineers help you deliver stable infrastructure, reduce operational risk, and maintain predictable quality. AI-leveraged workflows align to your requirements for speed and cost control.

Systems delivery governance

Governance built for stable and reliable system releases

Reduce operational risk with explicit release controls, monitoring standards, and health visibility tailored to modern infrastructure.

Controls teams ask for before launch

Stability, security, and performance discipline mapped to how modern systems stacks actually ship.

Shortlist turnaround

4.0 days median across recent systems roles

Kickoff speed

9 days median from selection to sprint start

Uptime record

99.9% median availability across clients

Secure infrastructure and access control

Secure IAM policies, encrypted storage, and compliance with security standards for all delivery workloads.

Security-ready

Clear IP and infrastructure ownership

Full ownership of system configurations, IaC patterns, and deployment keys from day one.

Legal-ready

Performance and health monitoring

Real-time tracking of system health, latency, and resource utilization in production.

Reliability-focused

Talent pool preview

Vetted Systems 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
AQ

Ahsan Q.

Senior Systems Engineer

Vetted

8 years

Role-matched

LinuxKubernetesAWSPerformance Tuning

Led the infrastructure design for a high-traffic B2B SaaS platform, implementing Kubernetes and Terraform that reduced infrastructure costs by 35% while improving reliability.

MF

Muhammad F.

Systems Engineer

Vetted

6 years

Role-matched

AzureAnsibleMonitoringHigh Availability

Built a high-availability and disaster recovery system for a fintech firm, maintaining 99.99% uptime and meeting strict compliance requirements.

SU

Shahzaib U.

Principal Systems Engineer

VettedArchitect

11 years

Role-matched

Distributed SystemsSystem DesignArchitectureTechnical Leadership

Architected a large-scale distributed system for an enterprise client, improving performance by 40% while reducing operational incidents by 50%.

Need a wider shortlist?

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

Systems engagement options

Choose the engagement model that matches your infrastructure roadmap

Start with focused systems work or scale to a full infrastructure pod as your project complexity grows.

Model selection support

We map systems role shape to roadmap pressure, technical complexity, and stakeholder expectations.

Part-time systems support

Best for iterative infrastructure work, performance tuning, and ongoing maintenance.

Starts from $2,000 / month

Best for: Steady systems improvements and maintenance

  • 20-25 hrs/week
  • Infrastructure sprint support
  • Weekly health reporting

Large-scale migrations and security audits are scoped separately.

Full-time systems engineer

Recommended

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

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

Best for: Active infrastructure roadmap execution and product integration

  • 40 hrs/week
  • Full ownership
  • Daily health + progress updates

Cloud platform costs and third-party licensing are billed separately.

Systems engineering pod (2 Systems Engs + 1 SRE + 1 PM)

Best for new product launches, major infrastructure sets, and cross-functional execution.

Starts from $12,000 / month

Best for: High-stakes initiatives with significant coordination needs

  • Cross-functional infrastructure pod
  • Parallel systems workstreams
  • End-to-end orchestration

Specialized security audits are scoped separately.

Systems hiring process

From infrastructure roadmap to production contribution in under two weeks

The process is tuned for systems delivery risk: architecture fit, reliability depth, and operational discipline.

Typical kickoff window

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

Decision points are explicit: systems implementation depth, reliability discipline, and communication quality are validated before kickoff.

  1. 1

    Infrastructure goal alignment and scope

    Step 1

    We map your system objectives, requirements, and scale goals to define role scope and success metrics.

    Day 1-2
  2. 2

    Shortlist with relevant systems context

    Step 2

    Review candidates with prior experience in similar domains, architecture patterns, or scale constraints.

    Day 2-5
  3. 3

    Technical validation with systems scenarios

    Step 3

    Interviews test system design logic, performance depth, and reliability-specific tradeoff handling.

    Day 5-10
  4. 4

    Onboarding and infrastructure sprint 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 systems

Systems execution tuned for reliability, performance, and operational confidence

You get engineers who can build production-grade infrastructure without the overhead of a traditional systems team. Best-rate positioning with quality controls.

Built for high-stakes infrastructure

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

Typical start

9 days median to sprint kickoff

Cost impact

25% median reduction in infrastructure spend

Uptime lift

99.9% median availability across clients

Fast ramp on systems projects

Engineers integrate into your architecture, monitoring patterns, and release flow quickly.

Velocity

Focus on reliability and stability

Engineers prioritize uptime and performance to ensure a high-quality user experience.

Reliability

Cost-optimized delivery performance

Delivery decisions account for scale, speed, and efficient resource utilization.

Performance

Service scope

Systems engineering use cases mapped to business outcomes, not just infrastructure

Use this service scope to match your infrastructure roadmap to the right implementation pattern, whether you need a new system launch, migration, or scaling initiative.

Infrastructure and System Design

1

System architecture and infrastructure design

Our systems engineers design scalable, fault-tolerant infrastructure for B2B SaaS, ecommerce, and marketplaces, from compute to storage and networking.

2

Cross-platform integration and deployment

Hire systems engineers to integrate and deploy applications across cloud, hybrid, and on-premise environments with consistent configuration and security.

3

Capacity planning and resource optimization

Design capacity models and resource allocation strategies for high-traffic applications and regulated fintech workflows.

Reliability and Performance

1

Performance tuning and bottleneck analysis

Identify and resolve performance bottlenecks, reduce latency, and improve throughput for production systems using profiling and observability tools.

2

High availability and disaster recovery

Implement HA patterns, failover, and disaster recovery strategies to keep critical systems operational and meet SLA targets.

3

Monitoring and observability implementation

Set up comprehensive monitoring, alerting, and incident response workflows using Prometheus, Grafana, or Datadog to keep system health visible.

Automation and Operations

1

Configuration management and automation

Automate system provisioning, configuration, and updates using Ansible, Terraform, or similar tools for consistent and repeatable operations.

2

CI/CD and release orchestration

Design and maintain CI/CD pipelines for system deployments, ensuring zero-downtime releases and rollback safety.

3

Internal operations tooling and workflows

Build and maintain internal tooling for content platforms, operations dashboards, and AI-enabled workflows with quality controls.

Engineering stack

Production-ready systems stack for reliability, performance, and operational confidence

Stack choices are optimized for maintainability, release safety, and iteration speed across modern software products.

Linux
Ubuntu
CentOS/RHEL
Docker
Kubernetes
Helm
Terraform
Ansible
CloudFormation
Prometheus
Grafana
Datadog
ELK Stack
AWS
Azure
GCP

Hiring readiness

Systems hiring playbook: evaluate quickly and onboard with less risk

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

Responsibilities / Role Scope

Owns

  • System architecture and infrastructure design
  • Performance tuning and capacity planning
  • Monitoring, alerting, and incident response workflows
  • Configuration management and automation

Collaborates on

  • Product teams to define infrastructure requirements and scalability goals
  • Backend engineers for efficient system design and data flow
  • DevOps teams for CI/CD integration and release coordination
  • Security teams for compliance and access control

Interview Questions

Structured by level for consistent and faster interviewer calibration.

junior

Fundamentals and execution reliability

  1. What is the difference between a process and a thread?
  2. What is the purpose of a load balancer?
  3. What is the difference between a container and a virtual machine?
  4. How do you monitor the health of a running system?

mid

Delivery ownership and decision quality

  1. How do you diagnose and resolve a performance bottleneck in a production system?
  2. How do you design a high-availability architecture for a critical application?
  3. How do you implement zero-downtime deployments?
  4. How do you handle capacity planning for a growing product?
  5. How do you integrate monitoring and alerting into an existing system?

senior

Architecture, risk control, and leadership

  1. How do you architect a distributed system across multiple regions with low latency?
  2. How do you design a disaster recovery strategy for a fintech platform?
  3. How do you approach a large-scale infrastructure migration with minimal downtime?
  4. How do you define and enforce security guardrails across multiple environments?
  5. How would you optimize a complex system for both reliability and cost efficiency?

Why Outsource This Role

Faster system delivery

Ship infrastructure and integrations without the overhead of local hiring or complex system research. AI-assisted delivery aligned to customer requirements.

Median kickoff: 9 days from role approval

Predictable systems costs

Scale your systems engineering bandwidth based on active priorities at a predictable hourly rate. Cost efficiency through selective AI acceleration.

Starts from $25/hour for systems engineering

System reliability

Improve uptime and maintain high performance with engineers who know systems tradeoffs and best practices.

Median uptime: 99.9% in 12 weeks

Lower operational risk

Use systems best practices and automated monitoring to reduce incidents and release delays.

Incident response time reduced 30% quarter-over-quarter

Scalable systems teams

Start with one systems engineer and expand to a full infrastructure pod as product complexity grows.

Systems pod scale-up window: 2-3 weeks

Testimonials

Client feedback from delivery partnerships across product teams.

The systems engineer integrated seamlessly and helped us reduce our infrastructure costs by 35% while improving uptime within two months.

DK

David K.

CTO, B2B SaaS platform

We achieved 99.9% uptime and significantly improved our deployment reliability within three months of hiring through Codexty.

JM

Jennifer M.

Engineering Manager, Ecommerce platform

Our systems integration project was delivered ahead of schedule with zero security issues. The AI-assisted approach kept costs predictable.

RT

Robert T.

VP Engineering, Fintech startup

FAQ

Answers to practical decision questions before you hire.

How quickly can a systems engineer start?

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

Do you work with Linux and Kubernetes?

Yes. We specialize in modern systems engineering using Linux, Kubernetes, Terraform, and various cloud-native tools.

Can you help with performance optimization?

Yes. We support identifying and resolving performance bottlenecks, using systems best practices to keep your infrastructure efficient and reliable.

How do you handle high availability?

We use proven HA patterns, failover strategies, and disaster recovery design to ensure your systems meet SLA targets.

What is the hourly rate for systems engineers?

Our systems engineering services start at $25/hour, providing high-quality delivery at a competitive rate.

Hire Systems Engineers and start delivery in 7-14 days

Share your requirements, we shortlist matched profiles, and your selected engineer starts with a clear onboarding plan. Initial response in under 24 hours.

Related Roles

Explore adjacent hiring options based on your roadmap needs.