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Cloudelligent

<div>
 
 
 Position Title:
 
 Sr. AWS DevOps Engineer- Kubernetes Expertise&nbsp;
 
 
 Job Timings:
 
 8am-5pm Central Time (US)&nbsp;
 
 
 Location:
 
 &nbsp;Lahore
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.&nbsp; &nbsp;
 
 
 
 Job Objective&nbsp;
 
 
 
 As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.&nbsp;
 
 
 
 Responsibilities&nbsp;
 
 
 <ul>
 <li>
 
 Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Create and improve current operational practices and procedures.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Responsible for training and mentoring junior DevOps engineers and new team members.&nbsp;
 
 </li>
 </ul>
 
 
 Requirements&nbsp;
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s in software/computer engineering, computer science or related field.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Effective communication skills (proficiency in English language).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 5+ years of professional experience in DevOps engineering.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Self-driven, ability to work independently or as part of a project team with limited supervision.&nbsp;
 
 </li>
 </ul>
 
 
 Technical Experience/Expertise&nbsp;
 
 
 <ul>
 <li>
 
 Strong hands-on expertise with solution architecting environments in AWS cloud space.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.&nbsp;
 
 </li>
 </ul>
 
 
 Good to have&nbsp;
 
 
 <ul>
 <li>
 
 AWS Certified Solutions Architect Associate/Professional and/or&nbsp;AWS Certified DevOps Professional &nbsp;&nbsp;
 
 </li>
 <li>
 
 Certified Kubernetes Administrator (CKA)&nbsp;
 
 </li>
 </ul>
 
 
</div>

Sr. AWS DevOps Engineer- Kubernetes Expertise

Xavor Corporation

We&rsquo;re looking for an experienced DevOps &amp; Cloud Engineer to join our team. You&rsquo;ll work closely with clients and operations to automate deployment workflows, maintain cloud infrastructure, and ensure system reliability and security.Key Responsibilities<ul><li>Build and enhance CI/CD pipelines using Jenkins, Azure pipelines, GitHub Actions, GitLab CI, or similar tools.</li><li>Manage infrastructure via Terraform, Ansible, or CloudFormation.</li><li>Containerize applications and orchestrate deployments using Docker, Kubernetes, and tools like Helm or ArgoCD.</li><li>Deploy and manage cloud resources on AWS and Azure. GCP exposure is a plus.</li><li>Monitor production environments with Prometheus , Loki, Grafana, ELK, or similar platforms.</li><li>Write automation scripts with Python and Bash.</li><li>Good understanding of cloud networks and security (VPC, VNet,WAF and load balancing )</li><li>Strong communication and collaboration in agile or DevOps-centric teams.</li><li>3&ndash;5 years of experience in DevOps or cloud engineering roles.</li><li>Familiarity with containerization (Docker), orchestration (Kubernetes).</li><li>Hands-on with any IaC tool like Terraform, Ansible, or CloudFormation.</li><li>Working knowledge of major cloud provider AWS and Azure.</li><li>Monitoring proficiency with Splunk, Nagios, or advanced logging frameworks.</li></ul>Soft Skills<ul><li>Excellent communicator and collaborator with clients and developers.</li><li>Strong problem-solving orientation and eagerness to learn new tools.</li><li>Self-driven, proactive, and able to work under minimal supervision</li></ul>Job Type: Full-timeWork Location: In person

DevOps Engineer

Siemens

<div>
 Siemens Digital Industries Software is a global leader in Electronic Design Automation (EDA) software, hardware, and design solutions. We partner with the world&rsquo;s leading producers of semiconductor microelectronic circuits and systems, enabling them to design and produce cutting-edge electronic products faster and more efficiently.
 
 
 Are you an experienced Cloud Engineer looking to make a real impact?
 
 Siemens
 
 is seeking a skilled professional to join our team and help design, build, and operate
 
 secure, scalable, and highly available cloud platforms
 
 . In this role, you will work closely with cross-functional teams, drive automation initiatives, and strengthen our
 
 CI/CD and cloud-native ecosystem
 
 . If you enjoy tackling complex technical challenges in an agile, fast-paced environment, we&rsquo;d love to hear from you.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi
 </li>
 <li>
 Implement, optimize, and monitor CI/CD pipelines to support fast and reliable software delivery
 </li>
 <li>
 Ensure cloud infrastructure meets requirements for security, scalability, availability, and performance
 </li>
 <li>
 Automate infrastructure provisioning and deployments using DevOps best practices
 </li>
 <li>
 Develop and maintain monitoring, logging, and alerting solutions (e.g., CloudWatch, Prometheus, Grafana, ELK)
 </li>
 <li>
 Collaborate with development and QA teams to ensure stable and efficient cloud operations
 </li>
 <li>
 Actively participate in a cross-functional Agile/Scrum team
 </li>
 <li>
 Troubleshoot cloud, network, and infrastructure-related issues
 </li>
 <li>
 Contribute to cost optimization, resource management, and performance tuning
 
 
 </li>
 </ul>
 Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Master&rsquo;s degree in a relevant technical discipline is preferred.
 </li>
 <li>
 6&ndash;8+ years of experience in Cloud Engineering, DevOps, Infrastructure Automation, or related roles
 </li>
 <li>
 Hands-on experience with AWS, Azure, or GCP (multi-cloud experience is a strong plus)
 </li>
 <li>
 Strong understanding of cloud platforms (AWS, Azure, GCP) and cloud-native architectures
 </li>
 <li>
 Proficiency with Infrastructure as Code and automation tools
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes)
 </li>
 <li>
 Hands-on experience with CI/CD pipelines (GitLab, GitHub Actions, Jenkins, Azure DevOps)
 </li>
 <li>
 Familiarity with microservices, APIs, and distributed systems
 </li>
 <li>
 Strong Linux administration skills
 </li>
 <li>
 Proficiency in scripting or programming languages such as Python, Bash, or JavaScript
 </li>
 <li>
 Knowledge of cloud networking concepts (VPC, DNS, Load Balancers, VPNs)
 </li>
 <li>
 Experience implementing cloud security best practices and compliance controls
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills
 </li>
 <li>
 Experience managing Kubernetes clusters (EKS, AKS, GKE) and working with serverless technologies (AWS Lambda, Azure Functions, Cloud Run) is a plus.
 </li>
 <li>
 Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Dynatrace), GitLab CI/CD, and cloud cost management / FinOps practices is a plus.
 </li>
 <li>
 Contributions to open-source projects and/or holding cloud certifications (AWS Solutions Architect, Azure Solutions Architect, Google Associate Cloud Engineer) are considered a plus.
 
 
 </li>
 </ul>
 We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
</div>

Senior Technical Lead

<div>Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise 
Job Timings: 8am-5pm Central Time (US) 
Location: Lahore
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.
Responsibilities<ul><li>
Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.</li><li>
Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.</li><li>
Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.</li><li>
Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.</li><li>
Create and improve current operational practices and procedures.</li><li>
Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.</li><li>
Responsible for training and mentoring junior DevOps engineers and new team members.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s in software/computer engineering, computer science or related field.</li><li>
Effective communication skills (proficiency in English language).</li><li>
5+ years of professional experience in DevOps engineering.</li><li>
4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)</li><li>
Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)</li><li>
Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)</li><li>
Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li></ul>
Technical Experience/Expertise<ul><li>
Strong hands-on expertise with solution architecting environments in AWS cloud space.</li><li>
Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.</li><li>
Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).</li><li>
Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.</li><li>
Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.</li><li>
Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).</li><li>
Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.</li><li>
Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.</li></ul>
Good to have<ul><li>
AWS Certified Solutions Architect Associate/Professional and/or AWS Certified DevOps Professional</li><li>
Certified Kubernetes Administrator (CKA)</li></ul>
zw5DdQMJhA</div>

THE ADVANTECH

Job Description: DevOps / MLOps EngineerTitle: Senior DevOps / MLOps Engineer (AI Platform) Department: AI/ML Platform Reports to: Head of AI/ML Experience: 4&ndash;5 years (hands-on, production)Role Summary (Read Carefully)We are building an AI Agent Marketplace with strict requirements around reliability, cost control, observability, and security. This role owns infrastructure, CI/CD, model deployment pipelines, and runtime stability.This is not a research role. This is not a notebook role. This is production engineering.If you haven&rsquo;t supported live systems under load, you are not a fit.Core Responsibilities (Non-Negotiable)Platform &amp; Infrastructure<ul><li>Design and maintain cloud infrastructure (AWS/GCP/Azure)</li><li>Own Kubernetes or container-based deployment</li><li>Enforce environment separation (dev / staging / prod)</li><li>Manage secrets, credentials, and access policies</li></ul>MLOps &amp; AI Runtime Support<ul><li>Build CI/CD pipelines for:</li><li>Agent definitions</li><li>Model updates</li><li>Prompt &amp; config versioning</li><li>Implement rollback strategies for agents and models</li><li>Enforce resource limits (CPU, memory, tokens, cost)</li><li>Monitor inference latency and failure rates</li></ul>Observability &amp; Cost Control<ul><li>Implement centralized logging (ELK / OpenTelemetry / Prometheus)</li><li>Track:</li><li>Per-agent usage</li><li>Token consumption</li><li>Cost per request</li><li>Build alerts for anomalies and abuse</li></ul>Security &amp; Reliability<ul><li>Secure APIs and runtime execution</li><li>Protect against cost-drain and prompt abuse</li><li>Enforce audit logs and traceability</li><li>Participate in incident response</li></ul>Required Skills (Must Have)<ul><li>Linux (deep knowledge, not basics)</li><li>Docker + Kubernetes</li><li>CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.)</li><li>Cloud infrastructure (IaC preferred: Terraform)</li><li>Monitoring &amp; logging stacks</li><li>Experience deploying ML systems in production</li></ul>Strongly Preferred (High Signal)<ul><li>Experience with LLM deployments</li><li>Token usage monitoring</li><li>Cost optimization for inference workloads</li><li>Multi-tenant system experience</li><li>Security-first mindset</li></ul>What We Offer<ul><li>Competitive salary and equity package.</li><li>Flexible remote/hybrid work options.</li><li>Professional development stipend for courses and conferences.</li><li>Collaborative, fast‑paced environment driving digital commerce innovation.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthExperience:<ul><li>&bull;	CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.): 4 years (Preferred)</li><li>hands-on, production: 4 years (Required)</li></ul>Work Location: In person

Senior DevOps / MLOps Engineer (AI Platform)

Experience: 3 to 5 YearsLocation: DHA 6, LahoreWe are seeking an experienced Cloud Engineer with strong expertise in AWS to design and implement scalable, serverless, event-driven architectures for a Digital Asset Management (DAM) platform. The ideal candidate will have hands-on experience building media processing workflows, optimizing cloud performance, and managing infrastructure as code.Key Responsibilities&middot; Design and implement serverless, event-driven architectures for a DAM platform&middot; Build and maintain AWS Lambda functions using TypeScript and Node.js&middot; Develop media ingestion and processing workflows using Amazon S3 event triggers and Amazon SQS&middot; Implement and manage containerized services using Amazon ECS&middot; Provision, version, and manage cloud infrastructure using Terraform&middot; Configure monitoring, logging, and alerting with Amazon CloudWatch&middot; Optimize Lambda performance (cold starts, memory tuning, concurrency management)&middot; Improve CDN delivery performance, caching strategies, and asset response times (e.g., via AWS CloudFront)&middot; Collaborate closely with frontend, product, and media teams to deliver scalable DAM featuresRequired Qualifications &amp; Skills&middot; 3&ndash;5 years of hands-on experience as a Cloud Engineer on AWS&middot; Strong understanding of serverless and event-driven architecture&middot; Proven implementation experience with:<ul><li>AWS CloudFront</li><li>AWS Lambda (TypeScript + Node.js)</li><li>Amazon S3</li><li>Amazon SQS</li><li>Amazon ECS</li><li>Amazon CloudWatch</li></ul>&middot; Strong proficiency in TypeScript (advanced typing, async patterns, clean architecture principles)&middot; Solid experience with Node.js runtime on AWS Lambda&middot; Hands-on experience with Terraform (modules, environments, state management)&middot; Understanding of multimedia concepts:<ul><li>Image and video formats</li><li>Asset optimization and compression</li><li>Media processing pipelines</li></ul>&middot; Experience working with CDNs and performance optimization (latency, TTFB, cache hit ratio)Preferred&middot; Knowledge of image/video transformation libraries or media pipelines&middot; Familiarity with Amazon API Gateway, AWS Step Functions, or Amazon EventBridge&middot; Experience with large-scale DAM, CMS, or media delivery platforms&middot; AWS Certifications (Associate or Professional level)Discover the Perks of Being on Our Team&middot; Provident Fund &ndash; Secure your future with our savings plan&middot; Company-Sponsored Lunch &ndash; Enjoy delicious meals on us&middot; Medical Allowance &ndash; Support for your health and wellness needs&middot; Comprehensive Life Insurance &ndash; Peace of mind for you and your loved ones&middot; Sports Allowance &ndash; Stay active and energized with support for sports activities&middot; Team Recreational Budget &ndash; Bond with your team through fun and engaging outings&middot; Sponsored Certifications &ndash; Advance your career with fully funded learning opportunitiesJob Type: Full-timeExperience:<ul><li>AWS: 4 years (Required)</li></ul>Work Location: In person

Senior Cloud Engineer

Farmers District 46

<div><h1 class="jobSectionHeader">DevOps Engineer (Full-Time, Remote)</h1><div> 
Compensation: $1,800/month USD 
</div><div>
Location: Remote (Pakistan / Sri Lanka preferred)</div><h2 class="jobSectionHeader"> 
About Us</h2> 
We are a fast-growing SaaS company building AI-powered workflow automation software for small and mid-sized businesses. Our mission is simple: help businesses simplify, systemize, and scale. 
We are lean, fast-moving, and execution-focused. We value ownership, transparency, and measurable progress.<h2 class="jobSectionHeader"> 
The Role</h2> 
We are hiring a full-time DevOps Engineer to own our cloud infrastructure, CI/CD pipelines, deployment processes, and production reliability. 
This is not a passive support role. 
You will be responsible for ensuring our product ships fast, runs reliably, and scales cleanly. 
You will work directly with the founder and engineering team and will have high visibility and high ownership.<h2 class="jobSectionHeader"> 
What You Will Own</h2> 
You will fully own:<ul><li> 
CI/CD pipeline setup and optimization</li><li> 
Staging and production deployments</li><li> 
Cloud infrastructure (AWS and/or GCP)</li><li> 
Docker containerization</li><li> 
Infrastructure documentation</li><li> 
Monitoring and alerting systems</li><li> 
Cloud cost optimization</li><li> 
Security best practices implementation</li></ul> 
If it touches infrastructure, deployment, or reliability &mdash; it&rsquo;s your responsibility.<h2 class="jobSectionHeader"> 
Weekly Expectations (Non-Negotiable)</h2> 
To ensure transparency and velocity, the following are required:<h3 class="jobSectionHeader"> 
1. Weekly Live Infrastructure Demo</h3> 
Every week you will:<ul><li> 
Screen share live</li><li> 
Demonstrate deployments</li><li> 
Show CI/CD changes</li><li> 
Review monitoring dashboards</li><li> 
Review logs</li><li> 
Explain improvements made</li><li> 
Highlight risks</li></ul> 
No written-only updates.<h3 class="jobSectionHeader"> 
2. Weekly Infrastructure Report</h3> 
You will submit a structured weekly report including:<ul><li> 
What was completed</li><li> 
What was improved</li><li> 
What broke and how it was fixed</li><li> 
Cloud cost changes</li><li> 
Security considerations</li><li> 
Planned work for next week</li></ul><h3 class="jobSectionHeader"> 
3. Infrastructure Documentation</h3> 
You will maintain:<ul><li> 
Updated infrastructure diagram</li><li> 
Deployment flow documentation</li><li> 
Environment variable management documentation</li><li> 
Disaster recovery notes</li></ul> 
Documentation must stay current.<div></div><h3 class="jobSectionHeader"> 
Requirements</h3><h2 class="jobSectionHeader">
Technical Requirements</h2> 
You should have:<ul><li> 
2&ndash;4 years experience in DevOps or Cloud Engineering</li><li> 
Strong AWS experience (EC2, S3, IAM, Lambda preferred)</li><li> 
Experience with GCP is a plus</li><li> 
Docker experience (required)</li><li> 
CI/CD experience (GitHub Actions, GitLab CI, or similar)</li><li> 
Linux server management</li><li> 
Monitoring tools (Datadog, Prometheus, CloudWatch, etc.)</li><li> 
Basic security best practices knowledge</li></ul> 
Bonus:<ul><li> 
Terraform or Infrastructure-as-Code</li><li> 
Kubernetes exposure</li><li> 
Startup experience</li></ul><h2 class="jobSectionHeader"> 
What We&rsquo;re Looking For</h2> 
We want someone who:<ul><li> 
Moves fast</li><li> 
Takes ownership without being told</li><li> 
Communicates clearly</li><li> 
Flags risks early</li><li> 
Is comfortable being accountable</li><li> 
Wants long-term growth</li></ul> 
We do not want someone who:<ul><li> 
Waits for detailed instructions</li><li> 
Disappears during production issues</li><li> 
Juggles multiple full-time jobs</li><li> 
Avoids visibility</li></ul><h2 class="jobSectionHeader"> 
Performance Expectations</h2> 
In your first 30 days, we expect:<ul><li> 
Clean CI/CD pipeline documentation</li><li> 
Production deployment stability</li><li> 
Monitoring fully configured</li><li> 
Infrastructure diagram delivered</li><li> 
At least one cost optimization initiative</li></ul> 
In 90 days:<ul><li> 
Deployment time reduced</li><li> 
Cloud cost efficiency improved</li><li> 
Clear observability in place</li><li> 
Security checklist implemented</li></ul><div></div><h3 class="jobSectionHeader"> 
Benefits</h3><h2 class="jobSectionHeader">
Growth Opportunity</h2> 
This role can grow into:<ul><li> 
Senior DevOps Engineer</li><li> 
Infrastructure Lead</li><li> 
Technical Operations Lead</li></ul> 
As the company scales, compensation and responsibility will scale with it.<h2 class="jobSectionHeader"> 
Compensation</h2><ul><li> 
$1,800/month USD</li><li> 
Full-time remote</li><li> 
Long-term position</li><li> 
Paid monthly</li><li> 
Performance-based raises</li></ul></div><div></div>

Explore 394+ Cloud infrastructure engineer in Lahore this February. Find roles across top companies and apply now to boost your career.

394 cloud infrastructure engineer jobs In Lahore

Sr. AWS DevOps Engineer- Kubernetes Expertise

DevOps Engineer

Senior Technical Lead

Sr. AWS DevOps Engineer- Kubernetes Expertise

Senior DevOps / MLOps Engineer (AI Platform)

Senior Cloud Engineer

DevOps Engineer