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bms 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 BMS Engineer to join our team in Islamabad at IT Park Project.Job Description<ul><li>Produce drawings, sequences of operation, and bills of material of building Management system</li><li>Develop BMS software databases (programming and graphics) in accordance with engineering documents and project specifications.</li><li>Design, integrate and support network migration for Internet / Ethernet / BACnet / Modbus platforms.</li><li>Commission the projects based on requirement by client</li><li>Visit the field as necessary to adjust design sequences to operate correctly with the actual system(s)</li><li>Conduct self-study to improve knowledge of required job skills and stay abreast of industry trends.</li><li>Develop and maintain a cooperative working relationship with members of the company team of managers, engineers and technicians, the client and consulting engineers.</li><li>Value engineering recommendations where appropriate.</li><li>Working with consulting engineering community to foster personal and company growth and maintain design discussions throughout the build process.</li><li>Remain current on the latest products, technologies and applications available</li></ul>Qualification &amp; Requirements:<ul><li>Engineering Degree in Mechatronics/Mechanical/Electronics</li><li>Minimum of 3-4 years of experience in BMS design, commissioning and Implementation</li><li>Proficiency in BMS software and tools.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication skills and ability to collaborate with diverse teams.</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs100,000.00 per monthWork Location: In person

BMS Engineer

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>
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SDLC Security Operations Engineer (DevSecOps)

MAFH International

Job DescriptionWe are looking for a motivated Technical Sales Engineer with experience in waterproofing and construction-related products. The selected candidate will be responsible for driving sales growth by providing technical solutions, ensuring product quality at project sites, and building long-term relationships with clients, consultants, and contractors.Key Responsibilities<ul><li>Promote and specify company products with engineers, consultants, contractors, and clients.</li><li>Develop and execute technical sales strategies to achieve assigned sales targets.</li><li>Identify customer requirements and recommend suitable technical solutions from the company&rsquo;s product portfolio.</li><li>Conduct regular site visits to monitor product application and performance.</li><li>Ensure quality assurance at project sites in accordance with company and industry standards.</li><li>Build and maintain strong relationships with corporate, industrial, and commercial clients.</li><li>Prepare and deliver technical presentations and product demonstrations.</li><li>Negotiate contracts, manage client accounts, and provide effective post-sales support.</li><li>Monitor market trends, competitor activities, and industry developments.</li><li>Maintain accurate records of sales activities, client interactions, and site inspections.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Civil Engineering (BS Civil)</li></ul>Experience<ul><li>3&ndash;4 years of relevant experience</li><li>Prior experience as a Technical Sales Engineer is preferred</li></ul>Skills &amp; Competencies<ul><li>Strong communication, negotiation, and interpersonal skills</li><li>Proficiency in MS Office and computer applications</li><li>Ability to work independently and manage multiple projects</li><li>Strong problem-solving skills with a customer-focused approach</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Experience:<ul><li>Technical Sales Engineer: 3 years (Preferred)</li></ul>Willingness to travel:<ul><li>100% (Preferred)</li></ul>Work Location: In person

Technical Sales Engineer

NorthBay - Pakistan

<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

Direct Debit System - DDS

<div>
 
 Elseware Ltd is UK regulated subsidiary of Direct Debit System FZ LLC-UAE
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time on-site role for a Computer Engineer located in Islamabad. The Computer Engineer will be responsible for designing, developing, and testing hardware and software systems. Daily tasks include troubleshooting technical issues, maintaining and improving existing systems, developing new software solutions, and ensuring cyber-security measures are in place and up-to-date. Collaboration with cross-functional teams to deliver efficient and reliable technology solutions is integral to this position.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficiency in Computer Engineering and Computer Science concepts with the ability to apply engineering principles to real-world challenges.
 </li>
 <li>
 Strong troubleshooting skills to identify, analyse, and resolve hardware and software issues efficiently.
 </li>
 <li>
 Experience in Software Development, including coding, debugging, and optimising applications.
 </li>
 <li>
 Keen understanding of Cyber security practices and ability to implement secure systems and safeguard data integrity.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Effective communication and teamwork abilities.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science, or a related field. Advanced certifications are an advantage.
 </li>
 <li>
 Experience in system design and working with electrical systems is a plus.
 </li>
 </ul>
</div>

Computer Engineer

Biocare Enterprises

<ul><li>BIOMEDICAL ENGINEER</li><li>SUPPLY CHAIN MANAGER</li><li>DATA ENTRY OPERATOR</li></ul>Job Type: Full-timeWork Location: Hybrid remote in Islamabad

Customer Information Data Entry Operator

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

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