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Recently Added Infrastructure Engineers in our Network

Lerin muthuraj

Lerin muthurajProfile Badge IC

Professional Software Development & Infrastructure Engineer5.1 Years of Exp
  • Docker
  • AWS
  • Terraform AWS EC2
  • Docker Nginx
  • Kubernetes
  • Git
  • AWS EC2
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To become DevOps Aspirant and Cloud Solution Architect, Work on industries leading technologies and new tools in challenging environment, and work towards the growth of the organization.

Abdulhussain Kanchwala

Abdulhussain KanchwalaProfile Badge IC

DevOps Engineer | IT infrastructure engineer4.1 Years of Exp
  • Terraform AWS EC2
  • Docker Nginx
  • Python
  • Ansible
  • Docker
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Hello, I'm Abdulhussain, and I bring 3 years of robust experience as a DevOps engineer to the table. My journey in the tech world has been a fascinating blend of Python development, serverless architecture, and an unwavering passion for chess a game that mirrors my approach to problem-solving.I take pride in my consistency and dedication, qualities that have propelled me through a multitude of projects, some of which involved setting up infrastructure from the ground up. My playground of choice is the AWS Cloud, where I leverage the power of Terraform, EC2, Docker, Nginx, Kubernetes StatefulSets/Deployments, and AWS Cloud Lambda functions. In this dynamic realm, I flex my skills in both Python and JavaScript, adapting and evolving with the ever-changing landscape of cloud computing.I'm an enthusiastic and adamant problem solver who revels in the opportunity to shape the future of technology.

Nikhil Ojha

Nikhil OjhaProfile Badge IC

ML Developer | Infrastructure Enginee5.1 Years of Exp

I am a software engineer with Masters in AI/ML and over 5 year of professional experience. As part of Bain India consulting, I work at the intersection of strategy and tech, partnering with business heads to identify high-value use-cases, craft long-term product roadmaps, and ship scalable agent-based solutions that drive measurable impact. My expertise spans across building end-to-end, agent-driven Gen AI products, designing RAG pipelines, full-stack Python/FastAPI back-ends and shipping React front-ends. I also have experience setting up robust eval strategies that keep models honest after launch. I thrive at the crossover of deep technical execution and strategic vision, I focus on clean design, reliable code, measurable results and steer cross-functional teams from proof-of-concept to enterprise rollout.

Swadhin Pattnaik

Swadhin PattnaikProfile Badge IC

MS Cloud Specialist | Infrastructure Engineer6.2 Years of Exp
  • AWS
  • Kubernetes
  • Terraform
  • Python
  • Docker
  • Ansible
  • OpenShift
  • nginx
  • View all (10)

A highly motivated and detail-oriented Senior System Engineer with 3.6 years of experience in Information Technology, possessing strong understanding of cloud infrastructure and DevOps principles, including containerization, virtualization, networking, CI/CD pipelines, and storage. Proven ability to collaborate with cross-functional teams to deliver innovative solutions that enhance performance, scalability, and security.

Junaid Shaikh

Junaid ShaikhProfile Badge IC

Infrastructure Engineer3.5 Years of Exp
  • Ansible
  • AWS
  • Azure
  • azure pipelines
  • Azure Repos
  • Docker
  • GCP
  • Git
  • View all (11)

🚀 Passionate about technology and innovation, I’m currently working as an Infrastructure Engineer at SITA, a leader in transforming the air transport industry. In my role, I focus on creating and maintaining robust, scalable infrastructure solutions that empower airlines, airports, and passengers around the world.With a background in DevSecOps and extensive experience in building CI/CD pipelines, automation, and cloud solutions, I bring a proactive approach to infrastructure management and optimization. I thrive on solving complex technical challenges and am committed to enhancing security, efficiency, and reliability in every project I take on.🌟 Core Areas of Expertise: • Infrastructure Engineering: Designing, deploying, and managing resilient systems • CI/CD & Automation: Building pipelines from scratch for streamlined deployments • Cloud Technologies: Hands-on experience with AWS, Azure, GCP, and container orchestration with Kubernetes • DevSecOps: Integrating security at every stage to ensure compliance and safeguard data • Cross-functional Collaboration: Partnering with teams to drive impactful outcomes in fast-paced, Agile environmentsAt SITA, I’m excited to be part of a team that’s redefining technology for air travel. My mission is to leverage my technical skills and passion for innovation to create seamless, efficient, and secure infrastructure solutions that make a difference.

Pratik Deepak Jagtap

Pratik Deepak JagtapProfile Badge IC

System Operations Associate & It Infrastructure Engineer L24.5 Years of Exp

Responsible for the development and management of the systems routine backup and keeping management aware of updates and current status. Directed project teams to maintain quality performance criteria and scheduling objectives during linux administration and data migration activities.

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Your Infrastructure Engineer Hiring Checklist

Infrastructure engineers keep your systems running. They handle things that users never see but always feel when they go wrong, such as uptime, security, cost control, and scaling.

Companies that grow fast often hit a wall not because of product issues, but because their infrastructure can't keep up. Hiring the right infrastructure engineer early saves you from expensive fixes later. This checklist helps you hire with confidence.

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What Does an Infrastructure Engineer Do?

An infrastructure engineer designs, builds, and maintains the systems behind your product. They set up and manage cloud environments, networks, and servers.

Also, they ensure applications scale smoothly, stay reliable under load, and remain secure while optimizing performance and cost.

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Infrastructure Engineer Hiring Checklist

Finding the right person takes more than posting a job description. Avoid rushing into tools and resumes. Start with clarity. Use this step-by-step checklist to reduce hiring risk and improve long-term outcomes.

  • Define the Role and Scope

    Before you post anything, clarify what this person will own. Will they manage cloud infrastructure, internal networks, or both? Will they work alone or lead a team?

    • Clarify whether this role is strategic, operational, or both
    • Map out the systems they'll be responsible for
    • If they'll lead architecture decisions or execute predefined plans
    • List the tools and platforms already in your stack

    A clear scope prevents you from hiring someone who is either too senior or too junior for your needs.

  • Set Your Cloud and DevOps Requirements

    Infrastructure roles vary depending on the environment's maturity.

    • Specify your cloud provider- AWS, Azure, GCP.
    • Define if you need multi-cloud or hybrid expertise.
    • Clarify CI/CD pipeline experience.
    • Outline containerization needs- Docker, Kubernetes.

    This helps you avoid generic profiles and attract engineers with relevant hands-on exposure.

  • Identify Must-Have Technical Skills

    When you hire an infrastructure developer, technical depth matters. Focus on core skills and fundamentals.

    • Infrastructure as Code (IaC)- Terraform, Pulumi, or CloudFormation
    • Automation and scripting- Python, Bash, or Go
    • Networking- DNS, VPNs, load balancers, firewalls
    • Monitoring and observability- Prometheus, Grafana, Datadog, or similar
    • Version control- Git-based workflows
    • Operating systems- Strong Linux fundamentals
    • High-availability and failover design
    • Cost optimization practices

    Ask candidates how they reduced manual work or improved system efficiency. Look for measurable results.

  • Partner with a Hiring Platform

    Sourcing strong infrastructure candidates on your own is slow. Specialized hiring platforms give you access to vetted talent faster.

    • Share a detailed requirement document, not just a job title.
    • Request AI-Vetted candidates with proven experience in infrastructure.
    • Ask for technical validation reports.
    • Clarify availability, time zone alignment, and engagement model.

    When you hire infrastructure developers through curated platforms, you reduce sourcing time and improve the quality of your talent.

  • Include Security and Compliance Criteria

    Infrastructure engineers sit close to your most sensitive systems. Security is not an afterthought.

    • Ask about IAM experience.
    • Review experience with encryption standards
    • Check understanding of compliance frameworks- ISO, SOC 2, GDPR, if relevant.
    • Evaluate how they design least-privilege access systems.
    • Check if they've handled vulnerability patching and incident response.

    Your infrastructure hire should think about prevention, not just recovery.

  • Prepare for Technical Assessment

    Generic coding tests don't work for infrastructure roles. Build assessments around real scenarios.

    • Use scenario-based system design challenges.
    • Simulate a production outage and ask for response steps.
    • Ask candidates to design a scalable architecture for your product type.
    • Review past incident analysis they handled.

    Strong candidates explain trade-offs clearly rather than listing tools.

  • Evaluate Soft Skills and Team Fit

    Technical skill gets people jobs. How they work decides if they stay.

    • Look for clear communication- how they explain a complex outage to a non-technical stakeholder.
    • Assess ownership- do they proactively flag risks or wait to be asked.
    • Gauge collaboration with product and development teams.
  • Check for Red Flags

    Spot warning signs early. A few things worth watching for during interviews.

    • Vague answers about past incidents or failures.
    • No experience with documentation or runbooks.
    • Inability to explain architecture decisions.
    • Tool knowledge, but weak understanding of networking basics.
    • Resistance to automation or "we've always done it this way" thinking.
  • Compare Candidates Objectively

    Use a consistent scorecard across all candidates. Objective comparison reduces bias and improves long-term fit.

    • Rate technical depth separately from communication.
    • Score problem-solving approach.
    • Compare real-world examples side by side.
    • Involve engineering leadership in the final evaluation.
  • Prepare Your Offer and Onboarding Plan

    Hiring does not end with the offer.

    • Send the offer within 48 hours of your final decision.
    • Prepare a structured onboarding plan: system access, documentation, and first 30-day goals.
    • Provide access to documentation and systems.
    • Define immediate priorities: cost audit, stability review, and automation roadmap.
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Final Thought

When you hire infrastructure engineers, you are not filling a role; you are creating one. You are protecting growth, revenue, and customer trust. A structured checklist keeps your hiring focused, practical, and aligned with business outcomes. You hire someone who can genuinely support your growth.

How Forward Deployed Infrastructure Engineers Solve Deployment Challenges

The customer says deployment should take two weeks. Three months later, engineering is still on calls with security teams, someone is debugging an unexpected authentication issue and a simple integration has turned into a roadmap item.

Nothing is broken. The product works exactly as intended.

Most founders have seen this.

The problem is that products are built in controlled environments and deployed in messy ones. There's an IT team with its own approval queue, a compliance requirement nobody mentioned until week six.

80% of AI projects fail to deliver their intended business value. That's twice the failure rate of regular IT projects.

Why? Because customer infrastructure comes with years of technical debt, undocumented processes, internal policies, and systems that weren't designed to work together. Forward Deployed Infrastructure Engineers exist to fix that.

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Who Is a Forward Deployed Infrastructure Engineer?

An FDIE is not a DevOps engineer resolving Jira tickets. They are responsible for making your product work inside the customer's environment, their stack, their constraints, their politics.

They're embedded in deployment conversations, uncovering infrastructure constraints, solving integration challenges, and helping customers reach production faster.

These professionals are part engineer, part translator, and fully accountable for getting you to production.

How This Role Differs from a Traditional Infrastructure Engineer

Traditional infrastructure engineers own internal systems with a focus on uptime, cloud architecture, deployment pipelines, reliability, and scalability.

Forward Deployed Infrastructure Engineers spend most of their time inside customer infrastructure, navigating security controls, legacy systems, compliance requirements, integration dependencies, and operational realities.

Think of it like this- a traditional infrastructure engineer builds a house. An FDIE moves into a customer's house, with leaky plumbing and rooms nobody mapped, and figures out how to fit your product inside it without tearing the place apart.

Customers explain constraints. Engineering explains capabilities. The product explains priorities. FDIEs make sure all three are speaking the same language.

Why This Role Is Exploding Right Now

Five years ago, selling software was the hard part. Today, it is deployment.

Enterprise AI has moved beyond experimentation. Customers now expect production-ready deployments that fit into existing infrastructure from day one.

That means dealing with SSO requirements, private networks, compliance controls, data governance policies, legacy databases, and internal security teams.

Customers can't self-serve through that complexity. Someone has to be physically present in the mess to untangle it.

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How Forward Deployed Infrastructure Engineers Solve Deployment Challenges

Rather than waiting for the problem to appear, the best FDIEs identify them before they become implementation delays.

They Translate Customer Infrastructure Requirements

FDIEs map customer environments early, understand infrastructure dependencies, identify hidden blockers, and ensure internal teams build products against real-world constraints. The result is fewer surprises during implementation. There's less of "we didn't know" mid-deployment, and more of "we've already handled that."

They Accelerate Production Readiness

An FDIE validates environments, prepares deployment paths, addresses reliability risks, and plans for scale upfront. The average AI project takes 8 months from prototype to production. A good FDIE compresses that significantly because critical infrastructure work happens before problems emerge.

They Navigate Security and Compliance Constraints

SAML, OIDC, air-gapped systems, data residency requirements, security review processes are the walls enterprise customers build for good reason. FDIEs move through them without creating security debt or stalling in procurement for three months.

They Bridge Infrastructure and Product Teams

Your product team thinks in features. Your customer's IT team thinks in constraints. Without someone in the middle, those two languages never meet. FDIEs translate technical blockers into product priorities and help both sides make trade-offs they can live with.

They Reduce Customer-Specific Engineering Work

Without structure, every customer deployment becomes a custom project. FDIEs create a repeatable deployment playbook, standardize infrastructure approaches, and identify reusable solutions. This lowers implementation costs while speeding up future deployments.

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What Founders Get Wrong When They Try to Solve This Without an FDIE

Most founders patch the deployment gap with what they already have. But it mostly doesn't work.

Solutions engineers are built for the pre-sale. Asking them to own deployment is like asking your account executive to rewrite your data pipeline.

Support tickets are reactive by design. By the time a ticket gets raised, the customer is already frustrated and behind schedule.

Onboarding docs assume a clean environment. They don't account for their specific auth setup, their legacy schemas, or the IT manager who needs three approvals before anyone touches production.

Engineering jumps in when something breaks.

Documentation fills the gaps.

The result is subtle but expensive. It shows up as a churn you'll attribute to product-market fit, when the actual problem was deploying a product.

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Skills That Separate Great Forward Deployed Infrastructure Engineers

Infrastructure expertise gets candidates into the room. But the following skills determine whether they succeed once they're there.

Systems Thinking

Strong FDIEs understand how infrastructure decisions affect security, reliability, scalability, operational workflows, and customer adoption. They think beyond individual systems and focus on the entire deployment ecosystem.

Customer Communication Skills

Great FDIEs can have productive conversations with security teams, IT leaders, engineers, and business stakeholders without creating confusion or unnecessary complexity. They can explain a complex trade-off to a CTO and then walk downstairs and translate the same decision for a non-technical ops lead.

Strong Troubleshooting Ability

They're comfortable in environments they've never seen. Curiosity and pattern recognition under pressure are more valuable than familiarity with your specific stack.

Pragmatism Over Perfection

The ideal architecture isn't always practical. Great FDIEs know when to build the right thing and when to ship the thing that works. They're honest about the difference.

Comfort With Ambiguity

No deployment playbook survives first contact with a new customer. The best FDIEs don't freeze when the map runs out. They gather information quickly, identify priorities, and create clarity.

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Conclusion

Deployment is the moment your product proves whether it can fit into their world. Forward Deployed Infrastructure Engineers make that transition possible. They remove friction, shorten implementation timelines, and prevent customer environments from becoming adoption barriers.

As deployments start getting more complicated, it's a sign that you need someone who can operate inside the customer's reality and get the product across the finish line.

Frequently Asked Questions

Uplers provides AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.

You can get the top 1% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable Infrastructure Engineers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks, depending on your requirements and decision-making time.

The modes of communication through which you can get in touch with a hired Infrastructure Engineer include:

  • Email
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

The average cost of hiring an Infrastructure Engineer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2025 - 26

At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.

An Infrastructure Engineer designs scalable IT infrastructure by using cloud platforms, automation tools, and modular architecture that can grow with business demand. Maintenance involves continuous monitoring, performance optimization, capacity planning, and regular updates to ensure high availability, security, and cost efficiency as workloads scale.

A hiring manager should look for strong skills in cloud infrastructure, system administration, automation, networking, and security. Key technical skills include:

  • Cloud platforms: Experience with AWS, Azure, or Google Cloud for managing scalable infrastructure
  • Operating systems: Strong knowledge of Linux and Windows server environments
  • Infrastructure as Code: Hands-on experience with tools like Terraform, CloudFormation, or ARM templates
  • Ensure system reliability, availability, and performance
  • Automation & scripting: Proficiency in Bash, Python, or PowerShell to automate infrastructure tasks
  • Networking fundamentals: Understanding of DNS, load balancers, firewalls, and TCP/IP
  • Monitoring & troubleshooting: Ability to use tools like Prometheus, Grafana, or CloudWatch to maintain system reliability
  • Security best practices: Knowledge of access control, encryption, backups, and compliance standards
  • CI/CD and DevOps tools: Familiarity with Jenkins, Git, Docker, or Kubernetes for modern infrastructure workflows

These skills help ensure a stable, secure, and scalable infrastructure that supports business growth.

Secure, reliable, and high-availability systems are achieved by applying strong access controls, infrastructure automation, and continuous monitoring, with an Infrastructure Engineer ensuring redundancy, load balancing, failover mechanisms, regular backups, and proactive incident management to minimize downtime and security risks.

The role of an Infrastructure Engineer covers the following core responsibilities across cloud, networking, and system provisioning:

  • Design and manage cloud architecture for scalability and cost efficiency
  • Configure secure networking, including VPCs, subnets, and routing
  • Provision infrastructure using automation and Infrastructure as Code
  • Manage compute, storage, and cloud resources efficiently
  • Optimize infrastructure for security and operational stability

Infrastructure security, compliance, and disaster recovery readiness are ensured by implementing strict access controls, applying security best practices, and continuously monitoring systems. Regular compliance checks, automated policy enforcement, data backups, disaster recovery planning, and routine testing help maintain secure operations and ensure rapid recovery during outages or failures.

Yes, infrastructure automation is achieved by using Infrastructure as Code tools such as Terraform and CloudFormation to define, deploy, and manage environments consistently. This approach reduces manual effort, improves reliability, and enables faster, repeatable infrastructure provisioning.

Experience with modern infrastructure requires hands-on knowledge of cloud platforms, containers, and orchestration tools:

  • Cloud platforms: AWS, Microsoft Azure, or Google Cloud
  • Containerization: building and managing containers with Docker
  • Orchestration: deploying and scaling workloads using Kubernetes
  • Resource management: optimizing compute, storage, and networking
  • High availability: ensuring resilient and scalable deployments

Collaboration happens through shared responsibility for infrastructure design, automation, and system reliability. Infrastructure Engineers work closely with DevOps teams on CI/CD pipelines, partner with SREs on monitoring and incident response, and support application teams by provisioning environments, optimizing performance, and ensuring stable deployments.

These areas are managed by tracking system performance, planning capacity based on growth patterns, and aligning resources with actual usage. Infrastructure Engineers reduce costs through efficient scaling, resource optimization, and regular cost reviews without compromising reliability or availability.

A company should hire an Infrastructure Engineer when systems require expertise in scalability, reliability, and infrastructure automation. This role becomes essential for managing complex cloud environments, ensuring high availability, meeting security and compliance needs, and supporting business growth beyond routine IT or DevOps tasks.