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sr. aws devops engineer- kubernetes expertise Jobs in Islamabad Pakistan

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sr aws devops engineer kubernetes expertise

Cloudelligent

<div>
 
 
 Position Title:
 
 Sr. AWS DevOps Engineer- Kubernetes Expertise&nbsp;
 
 
 Job Timings:
 
 8am-5pm Central Time (US)&nbsp;
 
 
 Location:
 
 &nbsp;Islamabad
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&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

<div>Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise 
Job Timings: 8am-5pm Central Time (US) 
Location: Islamabad
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.
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>
4fmdVGjxIQ</div>

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
2OWWNNGtq6</div>

Lead GenAI Engineer (Application Development)

Syslab Technologies

We are seeking a skilled Quality Assurance (QA) Engineer to join our team in Pakistan.Responsibilities<ul><li>Lead the design and implementation of robust automation frameworks for web, mobile,</li></ul>and API testing.<ul><li>Build and maintain automated regression, integration, and performance test suites.</li></ul><ul><li>Integrate automated tests into CI/CD pipelines to support fast, reliable releases.</li></ul><ul><li>Mentor junior QA engineers and establish QA automation best practices.</li></ul><ul><li>Collaborate with product, development, and DevOps teams to ensure quality across the</li></ul>SDLC.<ul><li>Analyze test results, identify bottlenecks, and recommend improvements.</li></ul>Requirements:<ul><li>5+ years of QA experience, with at least 3 years focused on automation.</li></ul><ul><li>Expertise in automation tools (e.g., Cypress, Playwright, Selenium, Appium).</li></ul><ul><li>Strong programming/scripting skills in JavaScript, Python, or Java.</li></ul><ul><li>Proven experience building automation frameworks from scratch.</li></ul><ul><li>Hands-on experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).</li></ul><ul><li>Excellent problem-solving, leadership, and communication skills.</li></ul>Nice to Have:<ul><li>Experience with performance testing (JMeter, k6) or security testing.</li></ul><ul><li>Knowledge of containerized environments (Docker, Kubernetes).</li></ul><ul><li>Familiarity with cloud platforms (AWS, GCP, Azure).</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs230,000.00 per monthExperience:<ul><li>Automation : 5 years (Required)</li><li>Cypress, Playwright or Selenium: 3 years (Required)</li></ul>Willingness to travel:<ul><li>25% (Preferred)</li></ul>Work Location: In person

Quality Assurance Engineer

Q MECHANICS PK

A DevOps engineer role with a WHMCS panel is an IT position focused on automating and managing the systems that run the WHMCS client management platform, often using a combination of DevOps best practices and specific knowledge of the panel itself. Key responsibilities include building and maintaining CI/CD pipelines for WHMCS-related code, automating infrastructure provisioning (potentially including the servers that run WHMCS), monitoring the platform's performance, implementing security best practices, and ensuring high availability. Responsibilities<ul><li>CI/CD and Automation: Design, build, and maintain CI/CD pipelines to automate the build, test, and deployment of software updates for the WHMCS platform.</li><li>Infrastructure as Code (IaC): Use tools like Terraform or Ansible to automate the provisioning, configuration, and management of the infrastructure that hosts the WHMCS panel.</li><li>Monitoring and Alerting: Set up and manage monitoring and alerting systems to track the health, performance, and security of the WHMCS environment, responding to issues to minimize downtime.</li><li>System Maintenance and Security: Implement and manage security best practices, perform system updates and patching, and ensure data backups and disaster recovery plans are in place and functional.</li><li>WHMCS-specific management: The role may also involve direct administration and optimization of the WHMCS panel itself, including configuration, user management, and module deployments.</li><li>Collaboration: Work closely with development, QA, and operations teams to streamline workflows, troubleshoot problems, and ensure smooth releases.</li></ul>Required skills and knowledge<ul><li>Strong understanding of DevOps principles and methodologies.</li><li>Experience with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.</li><li>Proficiency in infrastructure automation tools such as Terraform, Ansible, or Chef.</li><li>Familiarity with cloud platforms like AWS, Azure, or GCP.</li><li>Experience with containerization technologies such as Docker and Kubernetes.</li><li>Knowledge of Linux administration and shell scripting (e.g., Bash).</li><li>Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.</li><li>Familiarity with WHMCS and its architecture is a strong plus.</li></ul>Job Type: Full-timePay: From Rs40,000.00 per monthWork Location: In person

DevOps Engineer

dinCloud Pakistan, An ATSG Company

<div>
 
 About The Role
 
 
 
 The Senior Software Engineer is a technical role responsible for the design, development, and optimization of scalable applications and APIs using Python 3.x, Django, and Django Rest Framework (DRF). The engineer ensures high performance, security, and reliability while integrating with third-party services and managing MySQL/PostgreSQL databases. This role involves Linux server deployment, CI/CD pipeline implementation, and collaboration with cross-functional teams (Product, DevOps, Design) to deliver robust solutions.
 
 
 By leveraging best practices in software architecture, automated testing, and documentation, the Senior Software Engineer drives efficient problem resolution and maintains high code quality. This position plays a critical role in customer satisfaction and product success through timely delivery, scalable design, and adherence to security and performance standards.
 
 
 
 Essential Job Functions:
 
 
 
 <ul>
 <li>
 Develop and maintain robust, scalable web applications using Python 3.x, Django, and Django Rest Framework (DRF).
 </li>
 <li>
 Develop and maintain micro services in Python 3.x
 </li>
 <li>
 Design, implement, and manage RESTful APIs for internal and external integrations.
 </li>
 <li>
 Optimize application performance and ensure secure, maintainable code.
 </li>
 <li>
 Work with MySQL and PostgreSQL databases for schema design, data migration, and query optimization.
 </li>
 <li>
 Deploy, monitor, and troubleshoot applications on Linux servers.
 </li>
 <li>
 Set up and manage CI/CD pipelines to streamline development and deployment.
 </li>
 <li>
 Collaborate closely with cross-functional teams including DevOps, Product, and QA.
 </li>
 <li>
 Integrate third-party APIs and cloud services to extend platform capabilities.
 </li>
 <li>
 Contribute to architectural discussions and provide innovative technical solutions.
 </li>
 <li>
 Stay up to date with industry trends, tools, and technologies.
 </li>
 <li>
 AI/ML agent integration or development.
 </li>
 <li>
 Deploy and monitor the code with Docker, Kubernetes.
 
 
 
 </li>
 </ul>
 What Qualifies You
 
 
 <ul>
 <li>
 Comfortable with debugging, troubleshooting, and optimizing performance in complex systems.
 </li>
 <li>
 Experience working through the entire software development lifecycle, from design to deployment and support.
 </li>
 <li>
 Solid understanding of software development principles, including design patterns, data structures, and object-oriented programming.
 </li>
 <li>
 Comfortable working in agile environments with continuous delivery and integration cycles.
 </li>
 <li>
 Experience with Docker, Kubernetes, or other container/orchestration tools.
 </li>
 <li>
 Proficiency in asynchronous programming (asyncio, Celery).
 </li>
 <li>
 Self-starter: uses an appropriate sense of urgency and has capability of resolving complex technical problems and works both independently and collaboratively with a team
 </li>
 <li>
 Willingness and desire to continue advancing technical expertise in collaboration with Engineers and Architects through the pursuit of technical certifications.
 </li>
 <li>
 Have strong communication skills (written, verbal, presentation)
 </li>
 <li>
 Ability to follow and document standard processes and procedures
 </li>
 <li>
 Ability to stay calm under pressure in a fast-paced environment, maintain a positive attitude, and quickly adapt to changing priorities and new technologies
 </li>
 <li>
 Open to feedback and continuously looking for ways to improve systems, processes, and yourself.
 
 </li>
 </ul>
</div>

Sr. Software Engineer

Explore 356+ Sr aws devops engineer kubernetes expertise in Islamabad Pakistan this November. Find roles across top companies and apply now to boost your career.

356 sr aws devops engineer kubernetes expertise jobs IN Islamabad Pakistan

Sr. AWS DevOps Engineer- Kubernetes Expertise

Sr. AWS DevOps Engineer- Kubernetes Expertise

AI Engineer

Lead GenAI Engineer (Application Development)

Quality Assurance Engineer

DevOps Engineer

Sr. Software Engineer