sdlc security operations engineer (devsecops)

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platform secops engineer

NorthBay Solutions

<div>
 &nbsp;
 
 
 
 
 
 
 
 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>
 &nbsp;
 
 
 
 
 
 
 
 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>
 &nbsp;
 
 
 
 
 
 
 
 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

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>

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

Confiz

<div>We are seeking a motivated WSO2 &amp; Integration Engineer to join our team. In this role, you will be responsible for the configuration, management, and operational support of our multi-product WSO2 ecosystem, including API Manager, Micro Integrator (MI), Enterprise Integrator (EI), and Identity Server, along with associated technologies like Kafka.
Key Responsibilities
<ul><li>Management, configuration, and operational support of WSO2 products (API Manager, MI, EI, Identity Server) across development, test and production environments.</li>
<li>Maintain and configure integrations between WSO2 platforms and Kafka.</li>
<li>Development and maintenance of business and operational monitoring dashboards and alerts using tools like ELK Stack/Grafana/Prometheus.</li>
<li>Configure log aggregation and analysis processes to ensure system health.</li>
<li>Build and monitor Kafka-specific metrics (topic lag, consumer groups, broker health</li>
<li>Troubleshoot platform issues, including performance bottlenecks, timeouts, and memory leaks.</li>
<li>Implementing industry best practices for performance tuning and system stability under supervision.</li>
<li>Participate in shift-based production support and incident management, contributing to root cause analysis.</li>
</ul>
Requirements
<ul><li>3+ years of hands-on experience with WSO2 platform administration (API Manager, MI, or EI).</li>
<li>Sound understanding of Linux operating systems and containerization (e.g., Docker).</li>
<li>Knowledge of Kafka and its core concepts.</li>
<li>Familiarity with Java and basic performance troubleshooting (e.g., analyzing thread dumps, heap dumps).</li>
<li>Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Bachelor&rsquo;s degree (4 yrs) in Computer Science, Information Technology, or a related field.</li>
<li>Relevant WSO2 or other technology certifications</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

WSO2- Integration Administrator

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

MOBIZ

<div>About Mobiz

Mobiz is an information technology firm, and we do three things exceptionally well: cloud and network automation, digital transformation, and data protection. Double-digit growth year-over-year has driven us to grow our team and ensure we stay ahead of the curve. 
What Can You Expect?

Every day at Mobiz we work with a deep sense of purpose. We continuously innovate. Our mission is to empower our clients to do more through transformation. You&rsquo;ll work in a collaborative environment alongside highly talented people that improve client operations and exceed expectations. We strive to simplify technology challenges, and no less. 


Who Are We Looking For?

We are looking for a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and operating scalable, secure, and high-performing data solutions that enable analytics, reporting, and data-driven decision-making across the organization. You will collaborate closely with cross-functional teams and leverage modern cloud technologies to transform raw data into trusted, accessible insights. 


Key Responsibilities
<ul>
<li>Design, build, test, deploy, and maintain robust data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric, supporting both batch and streaming workloads.</li>
<li>Ingest, integrate, and harmonize data from multiple cloud and on-premises sources to deliver a unified, reliable, and trusted data view for analytics and reporting.</li>
<li>Use Python and SQL to clean, transform, validate, and model data to meet business, reporting, and analytical requirements.</li>
<li>Contribute to data architecture and platform design decisions, ensuring solutions are scalable, secure, cost-effective, and aligned with long-term business and technical strategy.</li>
<li>Build and maintain metadata-driven pipelines that gracefully adapt to schema changes, new data sources, and evolving ingestion patterns.</li>
<li>Proactively identify data quality issues, pipeline failures, and performance bottlenecks; perform root-cause analysis and implement durable, long-term solutions.</li>
<li>Continuously optimize data pipeline performance, reliability, and scalability to ensure fast, consistent, and dependable access to data.</li>
<li>Implement automated data quality checks, validation rules, and monitoring dashboards to ensure accuracy, consistency, and trust in delivered datasets.</li>
<li>Monitor, analyze, and manage data pipeline and compute costs across Azure, Databricks, and Microsoft Fabric, recommending and implementing cost-optimization strategies without compromising performance or availability.</li>
<li>Automate routine and repetitive data engineering tasks, applying best practices for CI/CD, deployment, testing, and operational support.</li>
<li>Design, implement, and maintain secure data access controls using role-based access, audits, and governance best practices to ensure appropriate data security and compliance.</li>
<li>Maintain clear, accurate, and up-to-date technical documentation, and provide ongoing operational support as data platforms and business needs evolve.</li>
<li>Stay current with emerging data engineering technologies, cloud services, and analytics best practices, and evaluate new tools through proofs of concept when appropriate.</li>
<li>Collaborate closely with product managers, software engineers, analysts, and operations teams to embed high-quality data solutions into core business processes.</li>
<li>Promote and enforce data engineering best practices including version control, modular and reusable pipeline design, documentation standards, and scalable architecture patterns.</li>
<li>Enable and support data democratization by providing well-modeled, secure, and self-service-ready datasets through Power BI, Microsoft Fabric, or custom analytics solutions.</li>
<li>Deliver measurable outcomes such as highly reliable pipelines with minimal manual intervention, on-time pipeline execution within service windows, rapid resolution of critical incidents, and consistently high data quality.</li>
<li>Ensure reusable and standardized pipeline components are leveraged across teams to accelerate delivery, improve consistency, and reduce operational overhead.</li>
<li>Provide stakeholders with reliable, well-modeled datasets that can be confidently explored without requiring ongoing engineering support.</li>
<li>Ensure all data solutions comply with organizational security, access, and governance policies while maintaining positive feedback from internal and external users.</li></ul> 


 Required Skills &amp; Qualifications 
<ul>
<li>3&ndash;5 years of hands-on experience in data engineering or related roles, with proven experience building, supporting, and operating production-grade data pipelines.</li>
<li>Strong hands-on experience with Databricks, including development, optimization, and operational support of Databricks-based data solutions.</li>
<li>Proven experience with Azure Data Factory (ADF) and Microsoft Fabric for data ingestion, orchestration, and transformation.</li>
<li>Advanced proficiency in SQL for querying, data modeling, performance tuning, and troubleshooting.</li>
<li>Strong programming skills in Python for data transformation, automation, scripting, and pipeline development.</li>
<li>Hands-on experience with Microsoft Azure cloud services related to data storage, compute, networking, and security.</li>
<li>Solid understanding of ETL/ELT patterns, data integration strategies, and real-time or near-real-time data processing concepts.</li>
<li>Experience designing metadata-driven and reusable pipeline components that scale across multiple teams and projects.</li>
<li>Strong understanding of data governance, data quality frameworks, monitoring practices, and automated validation techniques.</li>
<li>Experience supporting high-availability data platforms with SLAs, monitoring, alerting, and incident response processes.</li>
<li>Demonstrated ability to optimize cloud compute usage and manage costs efficiently across Azure, Databricks, and Microsoft Fabric.</li>
<li>Experience using version control systems such as Git and following modern software engineering best practices.</li>
<li>Ability to design secure, scalable, and cost-effective data architectures aligned with business needs.</li>
<li>Strong analytical, problem-solving, and troubleshooting skills with a proactive and ownership-driven mindset.</li>
<li>Excellent communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.</li>
<li>Ability to work independently as well as collaboratively in cross-functional team environments.</li>
<li>High attention to detail with a strong focus on data accuracy, reliability, and documentation quality.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li>
<li>Relevant certifications are required or strongly preferred, including Databricks Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate, and Microsoft Certified: Fabric Data Engineer Associate.</li></ul> 


What We Offer
<ul>
<li>A team of bright, hard-working, and innovative people that will contribute to your growth.</li>
<li>Competitive Salary and comprehensive benefits plan.</li>
<li>A dynamic and collaborative work environment with opportunity to work with cutting-edge technology and innovative solutions.</li></ul> 


Other 
This is a full-time office based job in Islamabad, Pakistan. 
Closing

Mobiz embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. We are an equal opportunity employer.

We thank all applicants for their interest. We will contact you if you are selected to move forward in the recruiting process.</div>

Data Engineer

Merik Solutions

Job SummaryWe are seeking a skilled Microsoft Power Automate Developer to design, develop, and optimize automated workflows that improve business processes and operational efficiency. The ideal candidate has hands-on experience with the Microsoft Power Platform and a strong understanding of business process automation, integrations, and data flows.Key Responsibilities<ul><li>Design, develop, and maintain automated workflows using Microsoft Power Automate (Cloud Flows &amp; Desktop Flows)</li><li>Analyze business requirements and translate them into efficient automation solutions</li><li>Integrate Power Automate with Microsoft 365, SharePoint, Power Apps, Dynamics 365, Dataverse, and third-party systems</li><li>Build custom connectors and manage APIs where required</li><li>Monitor, troubleshoot, and optimize existing flows for performance, reliability, and scalability</li><li>Implement security, governance, and compliance best practices within the Power Platform</li><li>Collaborate with business stakeholders, analysts, and developers to deliver end-to-end automation solutions</li><li>Document workflows, technical designs, and operational procedures</li><li>Stay updated with new Power Platform features and recommend improvements</li></ul>Required Skills &amp; Qualifications<ul><li>Strong experience with Microsoft Power Automate</li><li>Working knowledge of Power Apps and Power Platform architecture</li><li>Experience with SharePoint Online, Microsoft 365, and Dataverse</li><li>Understanding of REST APIs, JSON, and HTTP connectors</li><li>Experience with business process automation (BPA) and workflow design</li><li>Familiarity with Power Automate Desktop / RPA is a plus</li><li>Ability to troubleshoot complex workflows and integrations</li><li>Strong analytical and problem-solving skills</li><li>Good communication and documentation skills</li></ul>Preferred / Nice to Have<ul><li>Microsoft Power Platform certifications (PL-900, PL-100, PL-200, or similar)</li><li>Experience with Azure Logic Apps</li><li>Knowledge of SQL, Azure Functions, or Power BI</li><li>Exposure to ALM, CI/CD, and environment management for Power Platform</li><li>Experience working in Agile/Scrum environments</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field (or equivalent experience)</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthWork Location: In person

Sharepoint Developer

Explore 128+ Platform secops engineer in Islamabad this February. Find roles across top companies and apply now to boost your career.

128 platform secops engineer jobs In Islamabad

Platform SecOps Engineer

Platform SecOps Engineer

Professional Services Engineer

WSO2- Integration Administrator

Senior Full Stack Machine Learning Engineer

Data Engineer

Sharepoint Developer