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professional services engineer

Securiti

<div>
 Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance.
 
 
 Securiti has been recognized as Gartner "Cool Vendor in Data Security", Forrester "Privacy Management Wave Leader", and RSA "Most Innovative Startup". The company is being built by proven serial entrepreneurs and executives who have successfully built and scaled high-growth global companies before.
 
 
 We are seeking a dynamic Professional Services Engineer to join our team. This role focuses on providing high-level technical support, guidance, and expertise in the deployment and operation of our software solutions. The ideal candidate will have a strong background in client-facing roles, project management, and technical problem-solving.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Architecture &amp; Deployment: Implement Securiti Products on customer infrastructure ensuring adherence to industry best practices. Manage deployments across various platforms including AWS, Google Cloud, Microsoft Azure, and on-premise setups.
 </li>
 <li>
 Technical Expertise: Utilize expertise in Data Privacy &amp; Security, SQL/NoSQL databases, Linux, Networking, Cloud Platforms, Docker/Kubernetes, and Virtualization.
 </li>
 <li>
 Customer Engagement: Drive post-sales engagement, ensuring successful project implementations. Work with clients to understand their needs and provide expert support during product deployment and integration.
 </li>
 <li>
 Solution Implementation: Lead the planning, installation, configuration, and optimization of our software solutions in various client environments.
 </li>
 <li>
 Training and Support: Conduct training sessions for customers and provide ongoing support to resolve technical issues.
 </li>
 <li>
 Project Management: Oversee project timelines, resources, and deliverables, ensuring objectives are met within deadlines and budgets.
 </li>
 <li>
 Global Cross-Functional Collaboration: Work with our global teams across sales, marketing, product management, professional services, and engineering for a seamless customer lifecycle.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Educational &amp; Professional Background: Minimum of a Bachelor&rsquo;s Degree in a technical field with 3+ years of work experience in a client-facing technical role, such as a professional services engineer, technical consultant, or a related technical field.
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 2+ years of experience with large enterprises, focusing on data projects.
 </li>
 <li>
 Proficiency in Data Privacy and Security (DLP, Encryption, Access, Classification, etc.), SQL/NoSQL databases, Linux, Bash scripting, Python, Golang, and Linux-based system components.
 </li>
 <li>
 Strong understanding of on-premise and cloud platforms (AWS, GCP, OCI, Azure) and experience architecting infrastructures for diverse application scales.
 </li>
 <li>
 Knowledge of container technologies, infrastructure as code, and monitoring tools.
 </li>
 <li>
 Proficiency in software deployment, configuration, and system performance tuning.
 </li>
 <li>
 Regulatory &amp; Compliance Knowledge: Solid understanding of data security, privacy, compliance, and associated regulations.
 </li>
 <li>
 Project Management: Proven experience in managing technical projects with a focus on client satisfaction.
 </li>
 <li>
 Soft Skills: Excellent communication, leadership, and project management skills. A passion for technology, teamwork-oriented attitude, and flexibility in diverse environments.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 &ldquo;Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized with numerous industry and analyst awards, including "Most Innovative Startup" by RSA, "Top 25 Machine Learning Startups" by Forbes, "Most Innovative AI Companies" by CB Insights, "Cool Vendor in Data Security" by Gartner, and "Privacy Management Wave Leader" by Forrester. For more information, please visit Securiti.ai and follow us on LinkedIn and Twitter.&rdquo;
</div>

Professional Services Engineer

NorthBay - Pakistan

<div>
 Job Title: Platform SecOps Engineer
 
 
 Experience: 7&ndash;9 Years
 
 
 Location: Pakistan - Hybrid (UAE Business Hours)
 
 
 Employment Type: Full-Time
 
 
 
 Job Summary
 
 
 
 We are seeking a hands-on Platform SecOps Engineer to implement and operate security controls across hybrid and on-premises infrastructure for a large enterprise customer in the UAE. This role is responsible for platform hardening, security tooling operations (SIEM/EDR/CSPM), vulnerability remediation, and incident response support, ensuring alignment with ISO 27001 SOC 2, PIC/DSS and/or other compliance requirements as per customer business needs.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Operate and continuously improve security controls across hybrid and on-prem platforms (compute, virtualization, OS, network services)
 </li>
 <li>
 Administer and tune security tooling including SIEM, EDR, and CSPM; drive alert quality improvements and reduce noise
 </li>
 <li>
 Implement and enforce secure configuration baselines (CIS or equivalent), hardening standards, and patching/upgrade coordination
 </li>
 <li>
 Manage security logging strategy: log onboarding, parsing, normalization, correlation rules, dashboards, and alerting use-cases
 </li>
 <li>
 Perform vulnerability scanning, exposure management, and remediation tracking with clear SLAs and risk-based prioritization
 </li>
 <li>
 Support incident response activities (triage, containment support, evidence collection, escalation) and post-incident improvements
 </li>
 <li>
 Strengthen identity and access controls for platform administration (least privilege, privileged access patterns, access reviews)
 </li>
 <li>
 Maintain security runbooks, SOPs, and operational documentation; contribute to audit evidence preparation for ISO 27001/SOC 2, etc.
 </li>
 <li>
 Collaborate with infrastructure and operations teams to embed security into day-to-day BAU, including change management and release windows
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 7&ndash;9 years of experience in Platform Security / SecOps / Infrastructure Security
 </li>
 <li>
 Strong hands-on experience operating SIEM, EDR, and CSPM platforms in production environments
 </li>
 <li>
 Practical expertise in Linux/Windows hardening, endpoint/server security, and baseline enforcement
 </li>
 <li>
 Solid understanding of vulnerability management lifecycle (scan &rarr; triage &rarr; remediation &rarr; verification)
 </li>
 <li>
 Exposure to hybrid/on-prem environments including virtualization (VMware/Hyper-V) and core network security fundamentals
 </li>
 <li>
 Ability to write clear runbooks and work effectively across operations, infrastructure, and security stakeholders
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 CompTIA Security+, CySA+
 </li>
 <li>
 CISSP or CISM
 
 
 </li>
 </ul>
 
 PCI DSS / Payment Security
 
 
 
 <ul>
 <li>
 PCIP (ISA) &ndash; PCI Professional (Internal Security Assessor)
 </li>
 <li>
 Qualified Security Assessor (QSA) (where applicable/available)
 
 
 </li>
 </ul>
 
 Audit / Compliance
 
 
 
 <ul>
 <li>
 CISA (especially valuable for controls testing and evidence)
 
 
 </li>
 </ul>
 
 Cloud Security
 
 
 
 <ul>
 <li>
 AWS Certified Security &ndash; Specialty
 </li>
 <li>
 AWS Certified Solutions Architect &ndash; Associate or Professional
 </li>
 <li>
 Microsoft Azure Security Engineer Associate (AZ-500)
 </li>
 <li>
 Microsoft Azure Solutions Architect Expert (AZ-305)
 
 
 </li>
 </ul>
 Good to Have
 
 
 <ul>
 <li>
 Experience supporting telecom, government or regulated environments
 </li>
 <li>
 Working knowledge of ISO 27001, SOC 2, PCI/DSS evidence collection and operational controls
 </li>
 <li>
 Scripting/automation skills (Python, Bash, PowerShell) for operational efficiency
 </li>
 </ul>
</div>

Platform SecOps Engineer

<div>
 Job Title: SDLC Security Operations Engineer (DevSecOps)
 
 
 Experience: 7&ndash;9 Years
 
 
 Location: Pakistan - Remote (UAE Business Hours)
 
 
 Employment Type: Full-Time
 
 
 
 Job Summary
 
 
 
 We are looking for a hands-on SDLC Security Operations Engineer to embed security controls into CI/CD pipelines and engineering workflows for a larger enterprise customer in the UAE. This role focuses on operationalizing DevSecOps integrating scanning tools, enforcing pipeline guardrails, reducing security debt, and ensuring SDLC controls align with ISO 27001, SOC 2, PIC/DSS etc.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Integrate and operate security controls across CI/CD pipelines using GitHub, GitLab, Azure DevOps, and Jenkins
 </li>
 <li>
 Implement and manage SAST/DAST, dependency scanning, secret scanning, and pipeline security gates (build-time enforcement)
 </li>
 <li>
 Establish secure build and release practices: artifact integrity, signing/verification, and controlled promotions across environments
 </li>
 <li>
 Implement secure secrets management practices and prevent credential leakage in repos and pipelines
 </li>
 <li>
 Drive remediation workflows with developers: triage findings, validate fixes, reduce false positives, and improve rule tuning
 </li>
 <li>
 Embed security checks for infrastructure-as-code and configuration where applicable; ensure consistent secure-by-default patterns
 </li>
 <li>
 Support secure SDLC documentation, control mapping, and audit evidence for ISO 27001, SOC 2, etc. (policies, logs, approvals, attestations)
 </li>
 <li>
 Contribute to developer enablement via secure coding guidance, playbooks, and integration patterns that reduce friction
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 7&ndash;9 years of experience in DevSecOps / Application Security Engineering / SDLC Security Operations
 </li>
 <li>
 Strong hands-on experience with CI/CD tools: GitHub, GitLab, Azure DevOps, Jenkins
 </li>
 <li>
 Hands-on experience operating AppSec tooling: SAST/DAST and software supply chain controls (dependency risk management)
 </li>
 <li>
 Strong understanding of secure SDLC concepts (threat modeling basics, security testing, release governance)
 </li>
 <li>
 Ability to collaborate deeply with engineering teams and translate findings into actionable fixes
 </li>
 <li>
 Familiarity with Linux-based build environments and common developer workflows
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 CSSLP or equivalent application security certifications
 </li>
 <li>
 CISSP or CISM
 
 
 </li>
 </ul>
 
 PCI DSS / Payment Security
 
 
 
 <ul>
 <li>
 PCIP (ISA) &ndash; PCI Professional (Internal Security Assessor)
 </li>
 <li>
 Qualified Security Assessor (QSA) (where applicable/available)
 
 
 </li>
 </ul>
 
 Audit / Compliance
 
 
 
 <ul>
 <li>
 CISA
 
 
 </li>
 </ul>
 
 Cloud / DevOps
 
 
 
 <ul>
 <li>
 AWS Certified DevOps Engineer &ndash; Professional
 </li>
 <li>
 AWS Certified Security &ndash; Specialty
 </li>
 <li>
 Microsoft Azure DevOps Engineer Expert (AZ-400)
 </li>
 <li>
 Microsoft Azure Security Engineer Associate (AZ-500)
 
 
 </li>
 </ul>
 Good to Have
 
 
 <ul>
 <li>
 Experience in telecom, government or regulated environments with audit-driven SDLC controls
 </li>
 <li>
 Exposure to container security, artifact repositories, and release governance patterns
 </li>
 <li>
 Automation skills (Python/Bash) to streamline scanning, reporting, and control enforcement
 </li>
 </ul>
</div>

SDLC Security Operations Engineer (DevSecOps)

NorthBay Solutions

<div>Job Title: SDLC Security Operations Engineer (DevSecOps)
Experience: 7&ndash;9 Years 
Location: Pakistan - Remote (UAE Business Hours) 
Employment Type: Full-Time
Job Summary
We are looking for a hands-on SDLC Security Operations Engineer to embed security controls into CI/CD pipelines and engineering workflows for a larger enterprise customer in the UAE. This role focuses on operationalizing DevSecOps integrating scanning tools, enforcing pipeline guardrails, reducing security debt, and ensuring SDLC controls align with ISO 27001, SOC 2, PIC/DSS etc.
Key Responsibilities<ul><li>
Integrate and operate security controls across CI/CD pipelines using GitHub, GitLab, Azure DevOps, and Jenkins</li><li>
Implement and manage SAST/DAST, dependency scanning, secret scanning, and pipeline security gates (build-time enforcement)</li><li>
Establish secure build and release practices: artifact integrity, signing/verification, and controlled promotions across environments</li><li>
Implement secure secrets management practices and prevent credential leakage in repos and pipelines</li><li>
Drive remediation workflows with developers: triage findings, validate fixes, reduce false positives, and improve rule tuning</li><li>
Embed security checks for infrastructure-as-code and configuration where applicable; ensure consistent secure-by-default patterns</li><li>
Support secure SDLC documentation, control mapping, and audit evidence for ISO 27001, SOC 2, etc. (policies, logs, approvals, attestations)</li><li>
Contribute to developer enablement via secure coding guidance, playbooks, and integration patterns that reduce friction</li></ul>
Required Skills &amp; Qualifications<ul><li>
7&ndash;9 years of experience in DevSecOps / Application Security Engineering / SDLC Security Operations</li><li>
Strong hands-on experience with CI/CD tools: GitHub, GitLab, Azure DevOps, Jenkins</li><li>
Hands-on experience operating AppSec tooling: SAST/DAST and software supply chain controls (dependency risk management)</li><li>
Strong understanding of secure SDLC concepts (threat modeling basics, security testing, release governance)</li><li>
Ability to collaborate deeply with engineering teams and translate findings into actionable fixes</li><li>
Familiarity with Linux-based build environments and common developer workflows</li></ul>
Preferred Certifications<ul><li>
CSSLP or equivalent application security certifications</li><li>
CISSP or CISM</li></ul>
PCI DSS / Payment Security:<ul><li>
PCIP (ISA) &ndash; PCI Professional (Internal Security Assessor)</li><li>
Qualified Security Assessor (QSA) (where applicable/available)</li></ul>
Audit / Compliance:<ul><li>
CISA</li></ul>
Cloud / DevOps:<ul><li>
AWS Certified DevOps Engineer &ndash; Professional</li><li>
AWS Certified Security &ndash; Specialty</li><li>
Microsoft Azure DevOps Engineer Expert (AZ-400)</li><li>
Microsoft Azure Security Engineer Associate (AZ-500)</li></ul>
Good to Have<ul><li>
Experience in telecom, government or regulated environments with audit-driven SDLC controls</li><li>
Exposure to container security, artifact repositories, and release governance patterns</li><li>
Automation skills (Python/Bash) to streamline scanning, reporting, and control enforcement</li></ul>
sknRErcj6z</div>

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

MEP Solutions

MEP Solutions Pvt. Ltd. is a contracting firm proving end-to-end for Mechanical Electrical and Plumbing works. Our company is the sister firm of IZHAR construction company Pvt Ltd. MEP Solutions is seeking a full-time on-site Project Engineer (Mechanical) to join our team in Islamabad at IT Park Project.Roles and Responsibilities:<ul><li>Being the responsible Mechanical Engineer and report to the PM</li><li>Should be sound in HVAC-VRF systems and plumbing</li><li>Advise the project manager of any technical aspects of the mechanical services that may affect construction progress, quality and the like.</li><li>Continually review the construction schedule during the progress of site works.</li><li>Review shop drawings against the design [tender] drawings for compliance with the design intent and return to project manager with appropriate comments / approval.</li><li>Review mechanical shop drawing in conjunction with the structural and electrical engineers to ensure engineering co-ordination and advise project manager accordingly</li><li>Review Contractor&rsquo;s mechanical services material proposals against specified technical performance requirements and advise the Project Manager on the appropriateness of the proposals.</li><li>Review proposed sub contractor(s) associated with works from a technical standpoint.</li><li>Undertake general project site observation / inspection of the mechanical services works for Contractor&rsquo;s adherence to the approved shop drawings and Consultant&rsquo;s specification, good working practices, the construction schedule and health &amp; safety.</li><li>Be available to undertake off-site inspections of proposed equipment and materials as may be deemed necessary by the Project Manager.</li><li>Undertake prior review of proposed mechanical system testing &amp; commissioning methods and schedule</li><li>Witness on-site piped system pressure test, air conditioning duct leakage testing and other testing that may be required during the first fix works and advise the Project Manager accordingly.</li><li>On a spot basis witness mechanical system final testing and commissioning.</li><li>Review and comment on testing and commissioning results and advise Project Manager accordingly</li><li>Prepare on-going list of mechanical services defects for remedial action.</li><li>Undertake final project snagging and prepare list of defects for Contractor&rsquo;s action.</li><li>Attend project, site progress and any mechanical services related technical meetings as directed by the project manager.</li><li>Prepare draft site / engineer&rsquo;s instructions, relating to the building mechanical services, as required and issue to the Project Manager.</li><li>Provide advice to the Project Manager in regard to any mechanical services related variation costs that may be claimed by the Contractor during the course of the works.</li></ul>Qualification: BS in Mechanical Engineering.Experience: 7 YearsShift Timing: 05:00 PM to 02:00 AMJob Type: Full-timePay: Rs120,000.00 - Rs130,000.00 per monthWork Location: In person

Project Engineer (Mech)

<div>
 
 Job Title:
 
 Security Engineer
 
 
 
 Experience:
 
 4&ndash;6 Years
 
 
 
 Location:
 
 Pakistan (Hybrid)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced Security Engineer to design, implement, and maintain security controls across cloud and on-premises environments. You will work closely with infrastructure, DevOps, and application teams to ensure a strong, consistent security posture across all systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and manage network security controls including firewalls, IDS/IPS, VPNs, and network segmentation
 </li>
 <li>
 Implement and evolve zero-trust security models with least-privilege access
 </li>
 <li>
 Configure and maintain identity and access management solutions (MFA, SSO, PAM, RBAC)
 </li>
 <li>
 Implement encryption standards for data at rest and in transit; manage keys and certificates
 </li>
 <li>
 Deploy and manage security monitoring, logging, and alerting infrastructure
 </li>
 <li>
 Analyze security events, investigate incidents, and lead response activities
 </li>
 <li>
 Perform vulnerability assessments and coordinate remediation efforts
 </li>
 <li>
 Develop and maintain security policies, procedures, and documentation
 </li>
 <li>
 Collaborate with teams to integrate security into CI/CD pipelines and infrastructure
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 4&ndash;6 years of experience in information/network security
 </li>
 <li>
 Strong expertise in firewall configuration, rule management, and troubleshooting
 </li>
 <li>
 Proficiency with VPN technologies (IPSec, SSL, site-to-site, remote access)
 </li>
 <li>
 Deep understanding of network protocols (TCP/IP, DNS, HTTP/HTTPS, SSL/TLS)
 </li>
 <li>
 Hands-on experience with zero-trust principles and data encryption
 </li>
 <li>
 Experience with security monitoring and SIEM tools
 </li>
 <li>
 Strong knowledge of Linux and Windows security hardening
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 CompTIA Security+, CEH, or CySA+
 </li>
 <li>
 CISSP or CISM
 </li>
 <li>
 Cloud security: AWS Security Specialty, Azure AZ-500, or GCP Professional Security Engineer
 </li>
 <li>
 CCSP, CompTIA Network+, or GIAC certifications
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Experience securing AWS, Azure, or GCP environments
 </li>
 <li>
 Familiarity with container security and infrastructure-as-code
 </li>
 <li>
 Scripting skills (Python, Bash, PowerShell)
 </li>
 <li>
 Knowledge of compliance frameworks (ISO 27001, SOC 2, PCI-DSS, NIST)
 </li>
 </ul>
</div>

Security Engineer

Explore 176+ Professional services engineer in Islamabad this February. Find roles across top companies and apply now to boost your career.

176 professional services engineer jobs In Islamabad

Professional Services Engineer

Platform SecOps Engineer

SDLC Security Operations Engineer (DevSecOps)

SDLC Security Operations Engineer (DevSecOps)

Senior Full Stack Machine Learning Engineer

Project Engineer (Mech)

Security Engineer