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CodeNinja

<div>About CodeNinja
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
About the Role
The APM &amp; Observability Engineer sets up monitoring hooks (AppDynamics, HP BSM), correlates application metrics with load profiles, identifies bottlenecks at application, database, and infrastructure layers, and provides actionable tuning recommendations. This role ensures performance visibility across every layer of the Client's technology stack.
Key Responsibilities<ul><li>Configure and maintain monitoring hooks using AppDynamics, HP BSM, and/or Grafana for performance test observability.</li><li>Correlate application-level metrics (response times, error rates, thread pools) with infrastructure metrics (CPU, memory, DB connections) during load tests.</li><li>Identify bottlenecks at application, database, middleware, and infrastructure layers during performance cycles.</li><li>Provide specific, actionable tuning recommendations based on observed metrics and thresholds.</li><li>Set up centralised performance metrics dashboards for real-time visibility during test execution.</li><li>Support post-deployment smoke performance validation during low-traffic production windows.</li><li>Document monitoring setup and facilitate knowledge transfer for the Client's operations team.</li></ul> 
Requirements<ul><li> 
6+ years of APM/observability engineering experience.</li><li>Hands-on proficiency with AppDynamics, Dynatrace, or equivalent enterprise APM platforms.</li><li>Experience with Grafana, Prometheus, or ELK stack for dashboard creation and alerting.</li><li>Strong understanding of application architectures: microservices, API gateways, middleware, database layers.</li><li>Experience correlating distributed system metrics under load conditions.</li><li>Knowledge of HP BSM monitoring for infrastructure-level observability.</li><li>Preferred Certifications: AppDynamics Certified Professional, Dynatrace Associate, Grafana Certified.</li></ul>
Why Join CodeNinja?<ul><li>Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.</li><li>Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.</li><li>Collaborate with world-class QA professionals across onsite and offsite delivery models.</li><li>Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies.</li><li>Competitive compensation with performance-linked incentives and career progression pathways.</li><li>A culture that values technical excellence, ownership, and innovation without bureaucracy.</li></ul>
Disclaimer
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</div>

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

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 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&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;
 
 
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 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;
 
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 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;
 
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 Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.&nbsp;
 
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 Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.&nbsp;
 
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 Create and improve current operational practices and procedures.&nbsp;
 
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 Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.&nbsp;
 
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 Responsible for training and mentoring junior DevOps engineers and new team members.&nbsp;
 
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 Requirements&nbsp;
 
 
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 Bachelor&rsquo;s in software/computer engineering, computer science or related field.&nbsp;
 
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 Effective communication skills (proficiency in English language).&nbsp;
 
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 5+ years of professional experience in DevOps engineering.&nbsp;
 
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 4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)&nbsp;
 
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 Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)&nbsp;
 
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 Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)&nbsp;
 
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 Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)&nbsp;
 
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 Self-driven, ability to work independently or as part of a project team with limited supervision.&nbsp;
 
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 Technical Experience/Expertise&nbsp;
 
 
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 Strong hands-on expertise with solution architecting environments in AWS cloud space.&nbsp;
 
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 Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.&nbsp;
 
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 Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).&nbsp;
 
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 Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.&nbsp;
 
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 Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.&nbsp;
 
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 Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).&nbsp;
 
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 Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.&nbsp;
 
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 Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.&nbsp;
 
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 Good to have&nbsp;
 
 
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 AWS Certified Solutions Architect Associate/Professional and/or&nbsp;AWS Certified DevOps Professional &nbsp;&nbsp;
 
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 Certified Kubernetes Administrator (CKA)&nbsp;
 
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</div>

Sr. AWS DevOps Engineer- Kubernetes Expertise

Cplus Soft (Pvt) Ltd

We are hiring a Senior AI Engineer to design and build a next-generation agentic OCR and document processing system. You will own the end-to-end development of a multi-agent pipeline that extracts, validates, and delivers structured data from business documents using AI.This role goes beyond traditional OCR &mdash; you will architect intelligent, self-healing systems that improve accuracy and reduce manual review through targeted AI workflows.Key Responsibilities<ul><li>Design and build a multi-layer AI agent pipeline for document processing</li><li>Develop OCR extraction, classification, and schema mapping systems</li><li>Implement confidence scoring and automated validation logic</li><li>Build self-healing workflows for low-confidence data extraction</li><li>Orchestrate workflows using LangGraph and AWS Step Functions</li><li>Develop and integrate MCP-based AI tools and APIs</li><li>Optimize OCR engines for accuracy, cost, and performance</li><li>Build scalable infrastructure using AWS, Docker, and Terraform</li><li>Ensure system reliability with monitoring, testing, and observabilityRequirements</li><li>5+ years of Python development (production-level)</li></ul>Good to Have<ul><li>Computer vision / OpenCV experience</li><li>Document classification &amp; schema mapping</li><li>Human-in-the-loop (HITL) systems</li><li>LLM observability tools (LangSmith, Arize, etc.)</li><li>Experience with logistics, manufacturing, or document-heavy industries</li><li>2+ years working with LLMs and AI systems</li><li>Experience with LangChain / LangGraph or similar frameworks</li><li>Strong hands-on experience with AWS (Bedrock, Lambda, S3, ECS, Step Functions)</li><li>Solid understanding of OCR and document processing systems</li><li>Experience building APIs (FastAPI) and working with PostgreSQL / OpenSearch</li><li>Familiarity with Docker, Terraform, and cloud infrastructure</li><li>Strong English communication skills (B2+)</li></ul>Application Question(s):<ul><li>What is your current and expected salary?</li><li>Can you join on an immediate basis?</li></ul>Work Location: In person

Senior AI Engineer – Agentic OCR & Document Intelligence

ImagineArt

<div><h1 class="jobSectionHeader">Principal AI Engineer (LLM Agents &amp; Orchestration)</h1> 
Role Title: Principal AI Engineer (LLM Agents &amp; Orchestration) Team: Chatly Engineering Focus: Building Autonomous &quot;Super Agents&quot;<h2 class="jobSectionHeader"> 
Who We Are</h2>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.<h3 class="jobSectionHeader">
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</h3><h3 class="jobSectionHeader"> 

About the Role</h3>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</li><li>
Integration Ecosystem: Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</li><li>
Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</li><li>
Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</li><li>
Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</li><li>
Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.</li><li>
Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</li><li>
System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</li></ul>
Why Join Us?<ul><li>
Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.</li><li>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</li><li>
Competitive compensation and benefits.</li><li>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</li></ul></div>

Agentic AI Engineer

<div>
 
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 
 
 
 
 Role Title:
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 Team:
 
 Chatly Engineering
 
 Focus:
 
 Building Autonomous "Super Agents"
 
 
 
 Who We Are
 
 
 
 Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
 
 
 With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
 
 
 From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
 
 
 At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
 
 
 If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.
 
 
 
 About The Role
 
 
 
 We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.
 </li>
 <li>
 Integration Ecosystem: Build the "hands" of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.
 </li>
 <li>
 Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).
 </li>
 <li>
 Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.
 </li>
 <li>
 Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).
 </li>
 <li>
 Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.
 </li>
 <li>
 Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.
 </li>
 <li>
 System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.
 </li>
 <li>
 Be part of a passionate, fast-moving team that values innovation and data-driven decisions.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 <li>
 A culture where learning, growth, and experimenting with new ideas are deeply encouraged.
 </li>
 </ul>
</div>

Metis International (Pvt) Ltd

About the RoleWe are looking for a hands-on Cloud &amp; Infrastructure Engineer to join the HyperNym team. You will be responsible for provisioning and managing our Azure environments, handling Microsoft 365 email administration, deploying and operating Kubernetes clusters on AKS, and maintaining Linux-based workloads. This is a critical role supporting our enterprise IoT platform, Iotility, and its global client base.Key ResponsibilitiesAzure Infrastructure<ul><li>Provision and manage Azure subscriptions, tenants, and resource groups</li></ul><ul><li>Configure Azure Active Directory (Entra ID), RBAC, and identity management</li></ul><ul><li>Deploy and maintain Azure services including VMs, VNets, storage, and App Services</li></ul><ul><li>Manage Azure Cost Management and optimise cloud spend</li></ul><ul><li>Implement Azure security policies, firewalls, and compliance controls</li></ul>Microsoft 365 &amp; Email Administration<ul><li>Create and manage Microsoft 365 tenants from scratch</li></ul><ul><li>Administer Exchange Online, Outlook, and email routing</li></ul><ul><li>Manage user accounts, licences, groups, and Teams configuration</li></ul><ul><li>Configure DNS records (MX, SPF, DKIM, DMARC) for email deliverability</li></ul><ul><li>Handle M365 security and compliance settings</li></ul>Kubernetes &amp; AKS<ul><li>Deploy and manage Azure Kubernetes Service (AKS) clusters</li></ul><ul><li>Write and maintain Helm charts and Kubernetes manifests (Deployments, Services, Ingress, HPA)</li></ul><ul><li>Configure cluster networking, namespaces, and RBAC</li></ul><ul><li>Implement monitoring and logging using Prometheus, Grafana, or Azure Monitor</li></ul><ul><li>Manage container images and pipelines via Azure Container Registry (ACR)</li></ul><ul><li>Perform cluster upgrades, node pool scaling, and cost optimisation</li></ul>Linux Administration<ul><li>Manage and harden Ubuntu/CentOS servers in cloud and on-premise environments</li></ul><ul><li>Write shell scripts and automate operational tasks with Bash or Python</li></ul><ul><li>Troubleshoot system performance, networking, and service issues</li></ul><ul><li>Manage Docker and container runtimes on Linux hosts</li></ul><ul><li>Maintain SSH access controls, firewall rules (UFW/iptables), and system logs</li></ul>DevOps &amp; CI/CD<ul><li>Set up and maintain Azure DevOps or GitHub Actions pipelines</li></ul><ul><li>Support infrastructure-as-code using Terraform or Bicep</li></ul><ul><li>Collaborate with development teams on deployment strategies and environment management</li></ul>Required Skills &amp; Experience<ul><li>3+ years of hands-on experience with Microsoft Azure</li></ul><ul><li>Proven experience creating and managing Azure tenants and subscriptions</li></ul><ul><li>Strong knowledge of Microsoft 365 administration (Exchange Online, Entra ID, Teams)</li></ul><ul><li>Solid Kubernetes experience, preferably on AKS in a production environment</li></ul><ul><li>Proficiency with Linux (Ubuntu preferred) &mdash; command line, scripting, troubleshooting</li></ul><ul><li>Familiarity with Docker and containerisation workflows</li></ul><ul><li>Understanding of networking fundamentals (DNS, TCP/IP, VPN, load balancing)</li></ul><ul><li>Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)</li></ul>Nice to Have<ul><li>Azure certifications (AZ-104, AZ-305, AKS-specific)</li></ul><ul><li>Experience with Terraform or Bicep for infrastructure-as-code</li></ul><ul><li>Familiarity with IoT platforms, MQTT, or telemetry data pipelines</li></ul><ul><li>Exposure to multi-region or multi-tenant SaaS deployments</li></ul><ul><li>Experience supporting enterprise or telecoms clients</li></ul>What We Offer<ul><li>Competitive salary based on experience</li></ul><ul><li>Opportunity to work on a cutting-edge enterprise IoT platform serving global telecoms clients</li></ul><ul><li>Collaborative and fast-moving startup environment</li></ul><ul><li>Exposure to diverse geographies including UK, Gulf, Pakistan, and Africa</li></ul><ul><li>Flexible and hybrid working arrangements</li></ul>Job Type: Full-timeWork Location: In person

Cloud & Infrastructure Engineer

Vizzwebsolutions Pvt Ltd

Role OverviewWe are seeking a highly qualified Principal AI Engineer to own and architect our core intelligence and AI processing pipelines. You will be the technical authority on how we integrate, scale, and optimize artificial intelligence across our entire platform.This is not a prompt-jockey or wrapper-developer role. You will be responsible for architecting end-to-end, multi-modal solutions that push the boundaries of what is possible with applied AI. You will design agentic workflows, build complex user profiling systems to dynamically augment LLM context windows, and create proprietary intelligence layers that serve as competitive moat.Key Responsibilities● End-to-End AI Architecture: Design, build, and deploy production-grade AI systems, moving from idea inception to scalable AWS infrastructure. Bridge the gap between AI research and highly reliable software engineering.● Agentic &amp; Multi-Modal AI: Architect and implement autonomous, multi-agent systems that can reason, plan, use tools, and execute complex workflows across text, image, and data modalities.● Custom Intelligence &amp; Deep Context: Build sophisticated user profiling mechanisms and advanced RAG (Retrieval-Augmented Generation) pipelines to dynamically inject hyper-personalized context into foundational models.● Advanced Prompt Engineering &amp; Optimization: Lead the organization instate-of-the-art prompt design, few-shot prompting, chain-of-thought reasoning, and structured output generation.● Cost &amp; Performance Optimization: Implement intelligent model routing, caching strategies, and token management to ruthlessly optimize inference costs, system latency,and overall API expenditure.● Developer Productivity &amp; Platform AI: Build internal tools, CI/CD pipelines for AI(LLMOps), and automated evaluation frameworks to accelerate the development lifecycle and empower the broader engineering team to safely leverage AI.● Cross-Functional Leadership: Serve as the technical visionary for AI , mentoring full-stack and front-end developers, and partnering with product leadership to identify novel ways AI can solve business problems.Ideal Qualifications &amp; Skills● Experience: 8-10+ years of software engineering experience, with at least 3-5 years explicitly focused on applied Machine Learning, NLP, or Generative AI in production environments.● Core Stack: Expert-level proficiency in Python and Node.js/TypeScript.● AI &amp; LLM Ecosystem: Deep hands-on experience with modern AI orchestration frameworks and integrating with frontier models (OpenAI, Anthropic, open-source equivalents).● Data &amp; Retrieval: Strong expertise in vector databases, embedding strategies, semantic search, and knowledge graph integration.● Cloud &amp; Infrastructure: Proven track record of designing scalable, distributed systems on AWS. Experience with containerization and serverless architectures.● LLMOps &amp; Evaluation: Experience building evaluation pipelines to measure AI accuracy, hallucination rates, and performance. Familiarity with AI observability and monitoring tools.● Vision: A passion for building novel AI solutions and a pragmatic approach to balancing cutting-edge research with maintainable, production-ready code.<ul><li>We Offer:</li><li>Competitive salary package.</li><li>Friendly and collaborative work environment.</li><li>Growth and learning opportunities in a dynamic IT company.</li><li>Job Type: Full-time</li><li>Performance Bonus</li><li>Increments</li><li>Learning Environment</li><li>CC Fund</li><li>EOBI</li><li>Health Insurance</li></ul>For More Details, Contact Us:03115333221/0334-5522981https://www.vizzwebsolutions.com/Pay: Up to Rs300,000.00 per monthWork Location: In person

Principal AI Engineer

Explore 84+ Apm observability engineer appdynamics dynatrace grafana in Islamabad this May. Find roles across top companies and apply now to boost your career.

84 apm observability engineer appdynamics dynatrace grafana jobs In Islamabad

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

Sr. AWS DevOps Engineer- Kubernetes Expertise

Senior AI Engineer – Agentic OCR & Document Intelligence

Agentic AI Engineer

Agentic AI Engineer

Cloud & Infrastructure Engineer

Principal AI Engineer