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infrastructure systems support engineer

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.Application Question(s):<ul><li>Are you currently based in Islamabad and willing to work onsite at our office located in Gulberg Green, Islamabad?</li><li>What is your expected monthly salary?</li><li>Do you have good written and verbal communication skills in English?</li><li>How soon can you join if selected?</li></ul>Job Type: Full-timeWork Location: In person

Infrastructure & Systems Support Engineer

Dial Edge Telecom

Senior DevOps Engineer / Linux System Administrator Location: Bahria Enclave, Islamabad Job Type: Full-TimeDial Edge Telecom is looking for a highly skilled Senior DevOps Engineer / Linux System Administrator to manage and scale cloud-native, high-availability infrastructures for FinTech and media-focused platforms. The ideal candidate will bring strong hands-on experience with cloud platforms, containerization, CI/CD pipelines, monitoring, security, and high-traffic systems.Key ResponsibilitiesInfrastructure &amp; Cloud Operations<ul><li>Design, deploy, and maintain high-availability infrastructure on Azure, AWS, and on-prem VMware environments.</li><li>Manage Linux servers (Ubuntu, CentOS, RedHat) including performance tuning, security hardening, and patching.</li><li>Build and maintain hybrid and multi-cloud environments for cost and performance optimization.</li><li>Implement auto-scaling, load balancing, and disaster recovery strategies.</li></ul>Containerization &amp; Orchestration<ul><li>Containerize applications using Docker and manage workloads with Kubernetes (EKS), ECS, and Docker Swarm.</li><li>Configure Kubernetes features including RBAC, namespaces, ConfigMaps, Secrets, and ingress controllers.</li><li>Manage microservices deployments and optimize resource utilization.</li></ul>CI/CD &amp; Automation<ul><li>Build and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, Bitbucket, or GitLab.</li><li>Automate infrastructure provisioning using Ansible, Terraform, and custom scripts (Bash/Python).</li></ul>Monitoring, Logging &amp; APM<ul><li>Implement centralized logging and monitoring using ELK Stack, Prometheus, Grafana, Nagios, Monit, or Checkmk.</li><li>Set up APM and distributed tracing using OpenTelemetry.</li><li>Configure alerts and incident response workflows via PagerDuty, Slack, or equivalent tools.</li></ul>Security &amp; Access Control<ul><li>Implement Zero Trust security models with RBAC and SSO (Okta/Auth0).</li><li>Manage SSL/TLS certificates and secure cloud infrastructure via IAM, security groups, WAF, and DNS policies.</li></ul>Databases &amp; Backend Support<ul><li>Manage and secure PostgreSQL, MySQL, MongoDB, and Redis databases.</li><li>Implement backup, recovery, and disaster recovery processes.</li><li>Provide L2/L3 support for production systems in high-traffic environments.</li></ul>Streaming &amp; High-Traffic Systems (Optional / Plus)<ul><li>Deploy and manage live streaming infrastructures using NGINX-RTMP, FFmpeg, AWS IVS, CloudFront.</li><li>Optimize systems for low-latency streaming and high concurrent user traffic.</li></ul>Required Skills &amp; Qualifications<ul><li>4&ndash;5+ years of experience as a DevOps Engineer / Linux System Administrator</li><li>Strong expertise in cloud platforms (Azure, AWS, VMware)</li><li>Hands-on experience with Docker, Kubernetes, and CI/CD pipelines</li><li>Strong Linux fundamentals (networking, storage, permissions, LVM, SSH)</li><li>Experience with monitoring, logging, and alerting systems</li><li>Strong scripting skills in Bash and Python</li><li>Experience supporting production systems with high availability requirements</li></ul>Preferred / Plus<ul><li>Experience in FinTech, OTT, or high-traffic consumer platforms</li><li>Experience with live streaming systems</li><li>Knowledge of Zero Trust security models</li><li>Experience with Terraform and Infrastructure as Code</li><li>Exposure to Java applications, Tomcat, and microservices architectures</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li></ul>Why Join Us<ul><li>Work on mission-critical, high-scale systems</li><li>Exposure to FinTech and media-intensive platforms</li><li>Opportunity to architect secure, scalable cloud environments</li><li>Collaborative and technically driven engineering culture</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

Senior DevOps Engineer / Linux System Administrator

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

Agile Tribe Pvt Ltd

About the RoleWe are looking for a hands-on Network Engineer to manage and support the network environment of a fast-paced 24/7 contact center. This role is focused on ensuring stable connectivity, voice quality, and system uptime for live operations handling UK-based clients.You will play a key role in keeping our voice and data infrastructure running smoothly, especially during peak and critical hours.What You&rsquo;ll Be Doing<ul><li>Monitor and maintain internet links, routers, switches, and firewalls across the office</li><li>Ensure stable VoIP performance (call quality, latency, jitter control)</li><li>Troubleshoot network issues in real-time during live operations.</li><li>Manage and support VPN connectivity and remote access systems.</li><li>Configure and maintain VLANs, bandwidth allocation, and traffic prioritization (QoS)</li><li>Work closely with operations teams to resolve call drops or system delays quickly.</li><li>Coordinate with ISPs and vendors during outages or escalations.</li><li>Maintain basic network security, access control, and updates.</li><li>Keep clear internal documentation of network setup and changes.</li></ul>What We&rsquo;re Looking For<ul><li>1&ndash;2 years of practical experience in network support / IT infrastructure</li><li>Good understanding of:</li><li>Routers &amp; switches.</li><li>Internet troubleshooting.</li><li>VoIP basics (SIP, latency, packet loss)</li><li>Ability to work in a shift-based environment (including nights/weekends)</li><li>Someone who can handle pressure during live operations and respond quickly.</li><li>Basic familiarity with firewalls and network security is a plus.</li></ul>Preferred (Not Mandatory)<ul><li>CCNA / Network+ or similar certification</li><li>Experience in a call center / ISP / NOC environment</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs65,000.00 per monthWork Location: In person

Network Engineer

Smart Working

<div>
 
 
 
 About Smart Working
 
 
 At Smart Working Solutions, we believe your job should not only look right on paper but also feel right every day. This isn&rsquo;t just another remote opportunity - it&rsquo;s about finding where you truly belong, no matter where you are. From day one, you&rsquo;re welcomed into a genuine community that values your growth and well-being.
 
 
 
 Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you&rsquo;re empowered to grow personally and professionally.
 
 
 
 Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
 
 
 
 
 About the Role
 
 
 We are looking for a
 
 Senior DevOps Engineer
 
 with strong cloud infrastructure expertise
 
 (GCP / AWS / Azure)
 
 using
 
 Terraform
 
 and deep
 
 MongoDB Atlas
 
 ownership experience to design, operate, and scale a cloud-native infrastructure powering a large enterprise SaaS platform.
 
 
 
 This is a high-ownership, architecture-level role, not just execution. You will be responsible for designing and running production systems end-to-end, with a particular focus on database infrastructure (MongoDB Atlas) and scalable cloud environments.
 
 You will work in a fully remote, async-first environment, collaborating closely with engineering teams to ensure high availability, performance, and operational excellence across multiple environments.
 
 
 
 
 
 
 
 
 Responsibilities
 
 <ul>
 
 <li>
 Design, implement, and operate cloud-native infrastructure across GCP, AWS, or Azure using Terraform.
 </li>
 
 <li>
 Take full ownership of MongoDB Atlas in production, including:
 
 <ul>
 
 <li>
 Cluster architecture and scaling
 </li>
 
 <li>
 Replication and high availability
 </li>
 
 <li>
 Backup and disaster recovery strategies
 </li>
 
 <li>
 Performance tuning and query optimisation
 </li>
 
 <li>
 Security and access control
 </li>
 
 </ul>
 
 </li>
 
 <li>
 Architect and manage containerised and serverless workloads (e.g., Cloud Run, ECS, Kubernetes, or equivalents).
 </li>
 
 <li>
 Design and operate event-driven systems (e.g., Pub/Sub, SQS/SNS, EventBridge, or equivalents).
 </li>
 
 <li>
 Build and maintain CI/CD pipelines with a strong focus on automation, reliability, and scalability.
 </li>
 
 <li>
 Develop reusable Infrastructure as Code (Terraform) modules and manage multi-environment setups.
 </li>
 
 <li>
 Collaborate with engineering teams on system architecture, scalability, and performance optimisation.
 </li>
 
 <li>
 Implement robust monitoring, alerting, and observability across distributed systems.
 </li>
 
 <li>
 Lead incident response and root cause analysis, driving long-term improvements.
 </li>
 
 <li>
 Own infrastructure decisions end-to-end, including architecture, cost optimisation, and performance.
 </li>
 
 <li>
 Document systems, create runbooks, and establish best practices.
 </li>
 
 <li>
 Mentor engineers and promote DevOps best practices across the organisation.
 </li>
 
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 
 <li>
 6+ years of DevOps / Infrastructure Engineering experience in production environments.
 </li>
 
 <li>
 Strong hands-on experience with at least one major cloud provider: GCP, AWS, or Azure using Terraform.
 </li>
 
 <li>
 Advanced experience with Terraform (modularisation, remote state, multi-environment setups).
 </li>
 
 <li>
 Proven experience designing and operating scalable cloud infrastructure.
 </li>
 
 <li>
 Mandatory: Deep MongoDB Atlas experience in production, including:
 
 <ul>
 
 <li>
 Cluster configuration and scaling
 </li>
 
 <li>
 Replication and failover
 </li>
 
 <li>
 Backup and recovery strategies
 </li>
 
 <li>
 Performance tuning and indexing
 </li>
 
 <li>
 Security and access management
 </li>
 
 </ul>
 
 </li>
 
 <li>
 Experience with containerised environments (Docker, Kubernetes, or equivalents).
 </li>
 
 <li>
 Experience building and maintaining CI/CD pipelines.
 </li>
 
 <li>
 Solid understanding of event-driven architectures.
 </li>
 
 <li>
 Strong knowledge of monitoring, logging, and observability in distributed systems.
 </li>
 
 <li>
 Ability to operate at an architect/owner level, not just execute tasks.
 </li>
 
 <li>
 Strong communication skills and ability to work in a remote, async-first team.
 </li>
 
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 
 <li>
 Experience working across multiple cloud providers.
 </li>
 
 <li>
 Experience implementing GitOps practices.
 </li>
 
 <li>
 Familiarity with advanced observability tools (Datadog, APM, tracing).
 </li>
 
 <li>
 Experience supporting high-scale SaaS platforms.
 </li>
 
 <li>
 Interest in platform engineering and developer experience.
 </li>
 
 </ul>
 
 
 
 
 
 
 At Smart Working, you&rsquo;ll never be just another remote hire.
 
 
 
 
 Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
 
 
 
 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>

Senior DevOps Engineer (Cloud & MongoDB & Terraform), PK (Remote, Full-Time) [HR154]

Cabcall Outsource

Position: Network EngineerPay: 70,000-80,000Job type: Full time, On-site Working hours: 10 hours, 5 Days Rotational ShiftThe Network Associate is responsible for managing, maintaining, and troubleshooting the technical network infrastructure within a call center environment. This role focuses on ensuring consistent uptime and quality performance for all network components, supporting the functionality of call center applications, and assisting with network-related queries from call center staff.Key Responsibilities:<ul><li>Network Management:</li><li>Monitor call center network performance to identify and resolve issues promptly.</li><li>Maintain call center infrastructure, including routers, switches, VoIP systems, and firewalls.</li><li>Support and optimize call routing and IVR (Interactive Voice Response) systems.</li><li>Ensure uptime and performance stability for both local and remote call center operations.</li><li>Technical Support:</li><li>Provide level 1 and level 2 support for network-related incidents, troubleshooting connectivity issues affecting end-users.</li><li>Assist in diagnosing hardware and software issues on networked devices within the call center environment.</li><li>Coordinate with senior network engineers and vendors for escalated issues.</li><li>Configuration &amp; Maintenance:</li><li>Configure and deploy network equipment, including updating firmware and implementing network protocols.</li><li>Manage network access and security protocols to safeguard data and ensure compliance.</li><li>Conduct regular maintenance and audits to identify and rectify any potential vulnerabilities.</li><li>Documentation &amp; Reporting:</li><li>Maintain detailed records of network configurations, changes, and updates.</li><li>Prepare reports on network status, downtime, and incident resolutions for managerial review.</li><li>Document troubleshooting processes and provide clear steps for future reference.</li><li>Training &amp; Collaboration:</li><li>Work closely with call center staff, providing guidance and training on network-related tools and best practices.</li><li>Collaborate with IT and network teams to implement upgrades and improve system efficiency.</li></ul>Qualifications:<ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Information Technology, Network Engineering, or a related field (or equivalent experience).</li><li>Experience: 1-3 years of experience in network administration or a similar role; experience within a call center environment is an advantage.</li><li>Certifications: CCNA, or similar network-related certifications preferred.</li></ul>Key Skills:<ul><li>Technical Skills:</li><li>Hands-on experience with: PfSense Firewall, OpenVPN, Windows Server, switches.</li><li>Proficient with network configuration, hardware troubleshooting, and networking protocols (TCP/IP, DHCP, Active Directory, DNS).</li><li>Experience with network monitoring tools (e.g., SolarWinds,PRTG) and troubleshooting tools.</li><li>Knowledge of Virtualization Vmware.</li><li>Familiarity with VoIP technologies, call center applications, and IVR systems.</li><li>Soft Skills:</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication skills, with the ability to explain technical information to non-technical staff.</li><li>Ability to work both independently and as part of a team in a high-pressure environment.</li><li>Other Skills:</li><li>Willingness to work on-call shifts, as required for network support.</li></ul>Job Types: Full-time, Contract Contract length: 11 monthsPay: Rs70,000.00 - Rs80,000.00 per monthWork Location: In person

PackageX

<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>

Application Security Engineer

Explore 569+ Infrastructure systems support engineer in Islamabad this April. Find roles across top companies and apply now to boost your career.

569 infrastructure systems support engineer jobs In Islamabad

Infrastructure & Systems Support Engineer

Senior DevOps Engineer / Linux System Administrator

Backend AI & Data Pipeline Engineer

Network Engineer

Senior DevOps Engineer (Cloud & MongoDB & Terraform), PK (Remote, Full-Time) [HR154]

Network Engineer

Application Security Engineer