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application security engineer Jobs in Islamabad

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customer support engineer

cloud infrastructure engineer

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

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;
 
 
 <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

PackageX

<div>
 
 About PackageX
 
 :
 
 
 PackageX is the execution layer for physical AI in enterprise logistics. We enable enterprises to see, understand, and execute real-world logistics operations in real time using Vision-Language-Action intelligence.
 
 
 We sit between systems of record (ERP, WMS, TMS) and the physical world, turning cameras, people, and automation into deterministic, auditable workflows. Rather than replacing existing systems, PackageX makes them operationally intelligent.
 
 
 We start with inbound receiving, the highest-friction choke point in logistics, and expand across adjacent workflows, sites, and automation modes. This creates a workflow-led enterprise expansion motion that compounds inside complex operations.
 
 
 We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.
 
 
 
 What We Are Looking For
 
 
 
 We&rsquo;re looking for a security engineer who is serious about their craft and genuinely curious about where the field is heading. This role sits at the intersection of traditional application security and the new challenges that come with building AI-powered products. You&rsquo;ll own security end-to-end, from hardening our cloud infrastructure and reviewing code, to thinking through what it means to secure systems that use large language models. You don&rsquo;t need to have done this exact job before, but you should be the kind of engineer who stays curious, learns fast, and cares deeply about getting things right.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own security across the SDLC from threat modeling during design, to security reviews during development, to vulnerability scanning in CI/CD. You&rsquo;ll use modern tooling (including AI-powered scanners where they genuinely help) to keep pace with a fast-moving engineering team
 </li>
 <li>
 Conduct vulnerability assessments and penetration tests across our web applications, APIs, and infrastructure. You&rsquo;ll identify issues before attackers do, document findings clearly, and work directly with developers to get them fixed
 </li>
 <li>
 Write and maintain security policies that engineers will actually follow, clear, practical, and grounded in how the team actually works, not copied from a compliance template
 </li>
 <li>
 Think carefully about the security risks that come with AI-powered products, such as prompt injection, sensitive data leaking through model outputs, and how to keep our LLM integrations safe for customers. This is a newer area, and you&rsquo;ll be helping us figure it out as we go
 </li>
 <li>
 Report on security posture to engineering leadership, tracking gaps, trends, and open issues in a way that helps the team prioritize and act, not just tick compliance boxes
 </li>
 <li>
 Review code for security issues and work closely with developers to fix them, building habits and processes so security feedback becomes a normal part of how the team ships, not a last-minute blocker
 </li>
 <li>
 Define and maintain security standards for how we build and deploy software, writing clear guidelines, putting automated checks in place, and making it easy for engineers to do the right thing by default
 </li>
 <li>
 Build automation that makes security work scale &mdash; whether that&rsquo;s smarter alerting, faster triage, or tooling that helps developers catch and fix issues without needing a security engineer in every conversation
 </li>
 <li>
 Participate in product and engineering design discussions &mdash; raising security concerns early, helping the team understand the risks, and finding solutions that don&rsquo;t slow down shipping
 </li>
 <li>
 Embed security into our CI/CD pipelines and development workflows &mdash; reducing the time between finding a vulnerability and getting it fixed, and making security a shared responsibility across the engineering team
 </li>
 <li>
 Keep up with how the security landscape is evolving &mdash; particularly as AI becomes a bigger part of how software is built and attacked. You&rsquo;ll bring that knowledge back to the team and help us stay ahead of new threats
 
 
 
 </li>
 </ul>
 
 Skills and Qualification:
 
 
 
 <ul>
 <li>
 A degree in Computer Science, Information Security, or a related field
 </li>
 <li>
 3+ years of hands-on experience in application security or security engineering.
 </li>
 <li>
 Proven ability to build, manage, and monitor security in production environments where reliability matters &mdash; you&rsquo;ve operated under pressure, handled incidents, and know what it takes to keep systems safe at scale
 </li>
 <li>
 Solid experience securing web applications, APIs, and cloud infrastructure &mdash; covering areas like intrusion detection, access control design, incident response, and security policy development. You know the fundamentals well and can apply them in a real product context
 </li>
 <li>
 Experience with static and dynamic code analysis, you&rsquo;ve worked with SAST and DAST tools, know their limitations, and can help developers actually act on what those tools surface rather than just generating noise
 </li>
 <li>
 Familiarity with modern cloud architectures, serverless, microservices, and API-first designs. Bonus if you&rsquo;ve thought about what it means to secure systems that call LLM APIs or handle AI-generated outputs as part of their core workflow
 </li>
 <li>
 Strong understanding of OWASP Top 10 vulnerabilities and how to defend against them. Familiarity with the OWASP Top 10 for LLMs is a plus; we&rsquo;re building AI-powered products and need someone who can think through what that means for security
 </li>
 <li>
 Good understanding of RESTful API security, authentication, authorization, rate limiting, and input validation. Our platform is API-heavy, and we need someone who can spot the common mistakes and knows how to prevent them
 </li>
 <li>
 Strong experience in penetration testing and vulnerability analysis. You can run an assessment end-to-end, write up findings that people actually read, and follow through until issues are resolved &mdash; not just hand over a report and move on
 </li>
 <li>
 Experience working with AWS and/or GCP, securing cloud infrastructure, managing IAM policies, and understanding how cloud-native services introduce their own security considerations. We run primarily on AWS
 
 
 
 </li>
 </ul>
 
 What can you expect from the application process?
 
 
 
 All applications will be looked at by the People team, who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Application Security Engineer

<div><div><div><div>About PackageX:</div>
<div>
PackageX is the execution layer for physical AI in enterprise logistics. We enable enterprises to see, understand, and execute real-world logistics operations in real time using Vision&ndash;Language&ndash;Action intelligence.</div> 
<div></div>
<div>
We sit between systems of record (ERP, WMS, TMS) and the physical world, turning cameras, people, and automation into deterministic, auditable workflows. Rather than replacing existing systems, PackageX makes them operationally intelligent.</div> 
<div></div>
<div>
We start with inbound receiving, the highest-friction choke point in logistics, and expand across adjacent workflows, sites, and automation modes. This creates a workflow-led enterprise expansion motion that compounds inside complex operations.</div> 
<div></div>
<div>
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div> 
<div></div>
<div>
What we are looking for</div>
<div>
We&rsquo;re looking for a security engineer who is serious about their craft and genuinely curious about where the field is heading. This role sits at the intersection of traditional application security and the new challenges that come with building AI-powered products. You&rsquo;ll own security end-to-end, from hardening our cloud infrastructure and reviewing code, to thinking through what it means to secure systems that use large language models. You don&rsquo;t need to have done this exact job before, but you should be the kind of engineer who stays curious, learns fast, and cares deeply about getting things right.</div> 
<div></div>
<div>
You will:
</div><ul><li>Own security across the SDLC from threat modeling during design, to security reviews during development, to vulnerability scanning in CI/CD. You&rsquo;ll use modern tooling (including AI-powered scanners where they genuinely help) to keep pace with a fast-moving engineering team.</li>
<li>Conduct vulnerability assessments and penetration tests across our web applications, APIs, and infrastructure. You&rsquo;ll identify issues before attackers do, document findings clearly, and work directly with developers to get them fixed.</li>
<li>Write and maintain security policies that engineers will actually follow, clear, practical, and grounded in how the team actually works, not copied from a compliance template.</li>
<li>Think carefully about the security risks that come with AI-powered products, such as prompt injection, sensitive data leaking through model outputs, and how to keep our LLM integrations safe for customers. This is a newer area, and you&rsquo;ll be helping us figure it out as we go.</li>
<li>Report on security posture to engineering leadership, tracking gaps, trends, and open issues in a way that helps the team prioritize and act, not just tick compliance boxes.</li>
<li>Review code for security issues and work closely with developers to fix them, building habits and processes so security feedback becomes a normal part of how the team ships, not a last-minute blocker.</li>
<li>Define and maintain security standards for how we build and deploy software, writing clear guidelines, putting automated checks in place, and making it easy for engineers to do the right thing by default.</li>
<li>Build automation that makes security work scale &mdash; whether that&rsquo;s smarter alerting, faster triage, or tooling that helps developers catch and fix issues without needing a security engineer in every conversation.</li>
<li>Participate in product and engineering design discussions &mdash; raising security concerns early, helping the team understand the risks, and finding solutions that don&rsquo;t slow down shipping.</li>
<li>Embed security into our CI/CD pipelines and development workflows &mdash; reducing the time between finding a vulnerability and getting it fixed, and making security a shared responsibility across the engineering team.</li>
<li>Keep up with how the security landscape is evolving &mdash; particularly as AI becomes a bigger part of how software is built and attacked. You&rsquo;ll bring that knowledge back to the team and help us stay ahead of new threats.</li></ul> 
<div></div>
<div>
Skills and Qualification:</div>
<ul>
<li>A degree in Computer Science, Information Security, or a related field</li>
<li>3+ years of hands-on experience in application security or security engineering.
</li><li>Proven ability to build, manage, and monitor security in production environments where reliability matters &mdash; you&rsquo;ve operated under pressure, handled incidents, and know what it takes to keep systems safe at scale.</li>
<li>Solid experience securing web applications, APIs, and cloud infrastructure &mdash; covering areas like intrusion detection, access control design, incident response, and security policy development. You know the fundamentals well and can apply them in a real product context.</li>
<li>Experience with static and dynamic code analysis, you&rsquo;ve worked with SAST and DAST tools, know their limitations, and can help developers actually act on what those tools surface rather than just generating noise.</li>
<li>Familiarity with modern cloud architectures, serverless, microservices, and API-first designs. Bonus if you&rsquo;ve thought about what it means to secure systems that call LLM APIs or handle AI-generated outputs as part of their core workflow.</li>
<li>Strong understanding of OWASP Top 10 vulnerabilities and how to defend against them. Familiarity with the OWASP Top 10 for LLMs is a plus; we&rsquo;re building AI-powered products and need someone who can think through what that means for security.</li>
<li>Good understanding of RESTful API security, authentication, authorization, rate limiting, and input validation. Our platform is API-heavy, and we need someone who can spot the common mistakes and knows how to prevent them.</li>
<li>Strong experience in penetration testing and vulnerability analysis. You can run an assessment end-to-end, write up findings that people actually read, and follow through until issues are resolved &mdash; not just hand over a report and move on.</li>
<li>Experience working with AWS and/or GCP, securing cloud infrastructure, managing IAM policies, and understanding how cloud-native services introduce their own security considerations. We run primarily on AWS.</li></ul> 
<div></div>
<div>
What can you expect from the application process?</div>
<div>
All applications will be looked at by the People team, who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div> 

</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Jade

About Jade:Jade is an architecture-led, governance-first technology firm delivering enterprise-grade solutions across infrastructure, cybersecurity, cloud, and digital systems.With strong capabilities in system integration and service operations, Jade designs, deploys, and supports secure, scalable, and reliable technology environments across enterprise and mission-critical projects.Role OverviewThe Infrastructure &amp; Systems Support Engineer is responsible for design support, deployment, configuration, and ongoing support of IT infrastructure and integrated systems.This role spans across:- Networking and infrastructure systems- Server and storage environments- Physical security and integrated systemsThe role works closely with delivery, sales, and service teams to ensure solutions are implemented and supported to high technical and operational standards.Key Responsibilities1. System Design Support &amp; Configuration- Support design and configuration of:- Network infrastructure (switches, routing, firewalls)- Server and storage systems- Integrated systems including security platforms- Ensure solutions align with client requirements and best practices2. Infrastructure Deployment- Install and configure:- Network devices (L2/L3 switches, routers)- Servers (Windows/Linux environments)- Storage systems- Support implementation of integrated solutions across projects3. Technical Support &amp; Troubleshooting- Provide on-site and remote technical support- Troubleshoot issues across:- Network infrastructure- Server environments- Integrated systems (hardware/software)- Ensure minimal downtime and timely resolution4. Site Assessments &amp; Surveys- Conduct site surveys and technical assessments- Gather requirements and evaluate site conditions- Provide input for solution design and deployment planning5. Networking &amp; Systems Administration- Configure and troubleshoot:- Layer 2 / Layer 3 network environments- VLANs, routing, switching- Manage and troubleshoot:- Windows Server environments- Basic virtualization / clustering setups6. Coordination with Delivery &amp; Vendors- Work closely with:- Service Delivery Manager- Supply chain and vendors- Ensure timely and accurate execution of deployments7. Documentation &amp; Standards- Maintain technical documentation- Record configurations, issues, and resolutions- Follow standard operating procedures and best practices8. Continuous Learning &amp; Improvement- Stay updated on:- Networking technologies- Infrastructure systems- Emerging enterprise solutions- Support transition toward advanced domains (cloud, security, automation)Required QualificationsEducation- Bachelor&rsquo;s degree in Computer Science, IT, or related field (or equivalent experience)Experience- 2&ndash;5 years in infrastructure, networking, or system support roles- Experience in system integration or project-based environments preferredTechnical Skills- Strong understanding of:- Networking (TCP/IP, VLANs, routing, switching)- L2 / L3 switch configuration- Experience with:- Windows Server environments- Basic server and storage setup- Exposure to:- Physical security systems (access control, CCTV) is a plusPreferred Skills- Experience with firewalls and network security- Basic knowledge of virtualization (VMware / Hyper-V)- Familiarity with enterprise IT environmentsKey Traits- Hands-on and practical mindset- Strong problem-solving ability- Willingness to learn and grow- Reliable and disciplined- Ability to work in field environmentsWhat Success Looks Like (First 6&ndash;12 Months)- Successful execution of infrastructure deployments- Effective troubleshooting and issue resolution- Strong coordination with delivery and project teams- Improved system reliability and uptime- Growth in technical capability across multiple domainsCompensation- Competitive salary- Performance-based incentives- Learning and certification opportunitiesReporting LineReports to: Service Delivery ManagerWorks closely with:- Technical teams- Vendors- OperationsEmployment Type- Full-timeJade is building a scalable and future-ready engineering capability.This role is critical in delivering reliable infrastructure and evolving toward advanced enterprise technologies.Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s): * What is your expected monthly salary?Work Location: In person

Infrastructure & Systems Support Engineer

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

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Explore 231+ Cloud infrastructure engineer in Islamabad this May. Find roles across top companies and apply now to boost your career.

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