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cloud infrastructure engineer (azure) Jobs in Lahore

cloud infrastructure engineer (azure)

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<div>Position: Data Engineer (Azure Platform)

Location: Lahore, Pakistan (on-site)<div> 
Job Description 
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.</li><li>Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div> 
Qualifications
<ul><li>BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.</li><li>Strong expertise in database and data warehouse design, support, and maintenance.</li><li>Proficiency in writing complex SQL and SparkSQL queries.</li><li>Experience in Python and its data-related frameworks.</li><li>Hands-on experience with Databricks and PySpark for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

Datamatics Global Services Ltd

<div>Senior DevSecOps Engineer (Azure Expert) &ndash; 13+ Years Experience Required 
 
Remote Role | UK-Based Clients (UK Working Hours Preferred) 
 
We are looking for a highly experienced DevSecOps Engineer with 13+ years of expertise in cloud security, automation, Azure platforms, and modern DevSecOps practices. 
If you are passionate about driving secure cloud transformations and implementing enterprise-level Azure solutions, we want to hear from you. 
 
Key Responsibilities<ul><li>
Cloud Platform Deployments:</li><li>
Design and implement secure Azure cloud services.</li><li>
Ensure adherence to architectural &amp; security best practices.</li></ul> 

Cloud Security:<ul><li>
Enhance Azure security using Sentinel, RBAC, PIM.</li><li>
Automate threat detection, alerts, and incident response.</li></ul> 

Automation &amp; IaC:<ul><li>
Build and manage Terraform modules for cloud automation.</li><li>
Integrate governance &amp; compliance into CI/CD pipelines (Azure DevOps).</li></ul> 

Identity &amp; Access Management:<ul><li>
Automate Azure Entra ID (Azure AD).</li><li>
Enforce least-privilege access using RBAC &amp; PIM.</li></ul> 

Networking &amp; Security:<ul><li>
Design secure Azure network architectures (VNets, NSGs, Firewalls).</li><li>
Automate and monitor cloud network configurations.</li></ul> 

DevSecOps:<ul><li>
Embed security into CI/CD with vulnerability scanning.</li><li>
Promote DevSecOps best practices across teams.</li></ul> 

Monitoring &amp; Reporting :<ul><li>
Optimize Azure Monitor, Log Analytics, Sentinel.</li><li>
Create automated alerts and custom dashboards.</li></ul> 

Key Qualifications :<ul><li>
Expert in Azure Entra ID, RBAC, PIM, Azure Policy, Azure Monitor &amp; PaaS services.</li><li>
Hands-on with Azure Sentinel (SIEM/SOAR).</li><li>
Advanced Terraform experience (modules, state mgmt).</li><li>
Strong Azure DevOps pipeline expertise.</li><li>
Solid understanding of VNets, NSGs, Load Balancers, Firewalls, App Gateways.</li><li>
Knowledge of CIS, NIST, ISO 27001.</li><li>
Automation skills (PowerShell, Python, Bash).</li><li>
Experience with container security &amp; AKS.</li></ul> 

Soft Skills :<ul><li>
Strong problem-solving capabilities</li><li>
Excellent communication &amp; collaboration</li><li>
Proactive in identifying and mitigating risks</li></ul>
zNkbwNOZN9</div>

Senior DevSecOps Engineer (Azure Expert)

Devsinc

<div>
 Devsinc is seeking a talented
 
 Data Engineer
 
 having minimum of
 
 2 years of professional experience
 
 to join our growing data team. In this role, you will design and build scalable data pipelines, work with modern cloud platforms, and lay the foundation for analytics that drive critical business decisions. From day one, you'll learn from senior engineers, work with a modern cloud stack, and see your contributions make a tangible impact.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT data pipelines for structured and unstructured datasets.
 </li>
 <li>
 Build and optimize scalable, secure, and cost-efficient cloud data solutions using AWS, Azure, or GCP.
 </li>
 <li>
 Model, cleanse, and transform data to support analytics, dashboards, and reporting use-cases.
 </li>
 <li>
 Implement automated testing, monitoring, and alerting to ensure high data quality and reliability.
 </li>
 <li>
 Develop high-performance Python-based services and utilities for data ingestion and processing.
 </li>
 <li>
 Work with APIs, event-driven systems, and streaming platforms for real-time data workflows.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver tailored data solutions.
 </li>
 <li>
 Follow strong software engineering best practices &mdash; clean code, modularity, version control, CI/CD.
 </li>
 <li>
 Document architecture, data flows, schemas, and development standards.
 </li>
 <li>
 Stay updated on evolving data engineering tools, frameworks, and cloud-native technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Minimum 2 years of professional experience
 </li>
 <li>
 Strong knowledge of Python and SQL for data processing and transformation.
 </li>
 <li>
 Hands-on experience with at least one major cloud platform &mdash; AWS, GCP, or Azure.
 </li>
 <li>
 Exposure to cloud-native data services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, Synapse, etc.
 </li>
 <li>
 Familiarity with modern data warehouses &mdash; Snowflake, Redshift, BigQuery, or Synapse.
 </li>
 <li>
 Strong understanding of ETL/ELT frameworks such as dbt, Apache Spark, or Databricks.
 </li>
 <li>
 Experience working with orchestration tools like Apache Airflow, Azure Data Factory Pipelines, or AWS Glue Workflows.
 </li>
 <li>
 Proficiency with version control systems (GitHub, GitLab, Bitbucket) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of Data Lake architectures (S3, ADLS, GCS) and schema design principles.
 </li>
 <li>
 Basic understanding of data governance, security, compliance, and access management concepts.
 </li>
 <li>
 Familiarity with streaming platforms such as Kafka, Amazon Kinesis, or Google Pub/Sub
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork.
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success.
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies.
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments.
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Software Data Engineer

Software Finder Careers

<div>
 
 Position Overview
 
 
 
 We are looking for a skilled and motivated Data Engineer to support the design, development, and optimization of our data infrastructure across multiple cloud environments. The role involves creating reliable data pipelines, developing clean data models, and ensuring data quality and availability for analytics, reporting, and business operations.
 
 
 The ideal candidate should have at least three years of experience in data engineering or a related field, strong analytical skills, and practical knowledge of modern data tools and frameworks.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines to collect, process, and deliver structured and unstructured data.
 </li>
 <li>
 Develop and optimize data models to support reporting and analytical needs.
 </li>
 <li>
 Work with multiple cloud platforms (AWS, Azure, or GCP) to ensure scalability, performance, and reliability of data systems.
 </li>
 <li>
 Support integration of various data sources and APIs into the central data infrastructure.
 </li>
 <li>
 Implement data validation, quality checks, and governance processes.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business data requirements.
 </li>
 <li>
 Assist in documenting workflows, architecture diagrams, and technical specifications.
 </li>
 <li>
 Contribute to automation and efficiency improvements across data workflows.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.
 </li>
 <li>
 Understanding of data modeling, normalization, and database design principles.
 </li>
 <li>
 Experience with data integration and transformation workflows.
 </li>
 <li>
 Familiarity with at least one major cloud platform (AWS, Azure, or GCP).
 </li>
 <li>
 Strong analytical mindset and attention to data accuracy.
 </li>
 <li>
 Experience: 3&ndash;6 years building production-grade data platforms (ELT/ETL, modeling, reliability).
 </li>
 <li>
 Languages: Strong SQL and Python; writing testable, modular code.
 </li>
 <li>
 Modeling: Hands-on with dimensional modeling and SCD2; comfort with audit logging and provenance.
 </li>
 <li>
 Orchestration &amp; ELT: Real-world experience with a workflow scheduler and transformation framework.
 </li>
 <li>
 Warehouses &amp; Storage: Managed Postgres and at least one analytical warehouse (BigQuery or Snowflake); object storage on a major cloud (AWS/GCP/Azure).
 </li>
 <li>
 Quality &amp; Testing: Implemented data quality gates, CI for data, and schema enforcement.
 </li>
 <li>
 Security: Practical PII handling, access controls, secrets management, and key rotation.
 </li>
 <li>
 Reliability: Monitoring, alerting, on-call/readiness mindset; performance tuning of SQL jobs.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with data orchestration or workflow tools (e.g., Airflow).
 </li>
 <li>
 Knowledge of data warehousing and analytics concepts.
 </li>
 <li>
 Exposure to BI or visualization tools (e.g., Power BI, Tableau, Looker).
 </li>
 <li>
 Understanding of data governance and security best practices.
 
 
 </li>
 </ul>
 
 Software Finder
 
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 
 
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 
 
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>

Data Engineer

The Hassol

About us:We are an AI-driven workforce optimization platform helping hospitals reduce labor costs and make better staffing decisions. Our AI system interprets KPIs, identifies root causes, predicts staffing needs, and guides hospital leaders with clear, data-driven recommendations.We currently have deployments across 16 hospitals with strong traction and ongoing discussions with 100+ more. With early models built for demand forecasting, staffing logic, agentic reasoning, and healthcare data pipelines, we are now moving toward building our full alpha product.Role OverviewWe are hiring a Principal AI Engineer to lead architecture, development, and technical strategy for our AI-powered healthcare operations platform.This is a hands-on, high-ownership role where you will work directly with the co-founders and shape the platform from the ground up.This position offers a clear path toward a future CTO or VP Engineering role.Compensation StructureMilestone-based hourly compensationMilestones co-defined (deliverables, integrations, models, features)Equity package (4-year or milestone-based vesting)Strong long-term growth and ownership potentialKey ResponsibilitiesTechnical Strategy &amp; ArchitectureOwn system architecture, technical roadmap, and engineering directionConvert business &amp; data requirements into scalable technical plansArchitect data pipelines, AI agents, integrations, and core servicesHands-On EngineeringBuild backend services, APIs, microservices, and internal toolsDevelop LLM-based agents, RAG pipelines, vector stores, and reasoning workflowsOptimize data workflows, automation, and system performanceTeam LeadershipMentor and guide engineers as the team growsSet coding standards, review processes, and best practicesLead sprint planning, architecture sessions, and milestone executionData Engineering &amp; IntegrationsBuild and manage ingestion workflows (APIs, SFTP, FHIR/HL7, CSV/Excel)Design scalable SQL models and transformation layersIntegrate with EHRs, WFM systems, and hospital operational toolsCross-Functional CollaborationWork closely with co-founders, product teams, and healthcare SMEsConvert hospital workflows (staffing, scheduling, demand forecasting) into engineering logicJoin product discussions, customer calls, and early deploymentsRequired Skills &amp; Experience7+ years in software engineering (backend, full-stack, or data)Experience leading or managing engineersStrong hands-on expertise in Python, TypeScript/JavaScript, SQLDeep experience with cloud infrastructure (Azure preferred)Proven experience building LLM features, RAG, agents, or similar AI systemsPrior architecture experience in startups or complex data environmentsStrong ownership mentality and ability to operate independentlyPreferred SkillsExperience with healthcare data, EHRs, and hospital systemsFamiliarity with HL7, FHIR, secure healthcare APIsExperience with agent frameworks, orchestration tools, vector DBsPrior early-stage or founding engineer experienceExposure to HIPAA, SOC 2, or secure data environmentsWho You AreA strategic thinker and hands-on engineerComfortable with ambiguity and fast-paced environmentsAble to scope work, define milestones, and execute efficientlyMission-driven and passionate about improving healthcare operationsWhy Join UsLead engineering for a category-defining AI healthcare platformInfluence every major technical decision from the beginningMilestone-based flexibility + meaningful equityDirect access to founders and hospital systemsClear growth path into a CTO-level roleJob Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

PRINCIPAL AI ENGINEER

Systems Limited

<div>
 
 We are hiring a DevOps Engineer with strong hands-on experience in
 
 Azure
 
 and
 
 Google Cloud Platform (GCP)
 
 to build, automate, and manage scalable cloud environments. The role focuses on modern microservices, serverless architectures, IaC automation, CI/CD development, and ensuring high system reliability. The engineer will collaborate across teams to deliver secure, efficient cloud solutions while supporting production environments and incident response.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 Cloud Infrastructure (Azure &amp; GCP):
 
 
 
 
 
 <ul>
 <li>
 Architect and manage microservices and serverless workloads using Azure Functions, GCP Cloud Run, and GCP Cloud Functions.
 </li>
 <li>
 Manage Kubernetes clusters (AKS/GKE) and Docker-based deployments.
 </li>
 <li>
 Configure App Services, Function Apps, and Cloud Run services.
 </li>
 <li>
 Implement Azure Service Bus, Cosmos DB, Pub/Sub, and Scheduling tools.
 </li>
 <li>
 Design cloud networking: VPCs, VPNs, Load Balancers, Network Peering.
 </li>
 <li>
 Manage cloud storage solutions: Azure Storage, File Shares, GCP Buckets, Filestore.
 </li>
 <li>
 Handle secure key and secret storage via Azure Key Vault and GCP Secret Manager.
 </li>
 </ul>
 
 
 
 
 
 Automation &amp; Infrastructure as Code:
 
 
 
 
 
 <ul>
 <li>
 Build IaC using Terraform; manage configuration with Ansible.
 </li>
 <li>
 Create automation scripts using Python, Bash, or PowerShell.
 </li>
 <li>
 Maintain version-controlled infrastructure repositories (Code-First Infrastructure).
 </li>
 </ul>
 
 
 
 
 
 CI/CD &amp; DevOps Enablement:
 
 
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines using Azure DevOps.
 </li>
 <li>
 Integrate code quality and security tools (SonarQube, Orca, etc.).
 </li>
 <li>
 Manage FTP/SFTP servers and secure file-transfer workflows.
 </li>
 <li>
 Collaborate with developers to optimize images, deployments, and rollouts.
 </li>
 </ul>
 
 
 
 
 
 Monitoring, Reliability &amp; On-Call:
 
 
 
 
 
 <ul>
 <li>
 Implement monitoring and alerting with Prometheus, Grafana, Zabbix, and Application Insights.
 </li>
 <li>
 Analyze logs and system metrics for performance and uptime.
 </li>
 <li>
 Provide on-call support for production systems, ensuring quick incident recovery.
 </li>
 <li>
 Participate in post-incident reviews and reliability improvements.
 </li>
 </ul>
 
 
 
 
 
 Governance, Compliance &amp; Collaboration:
 
 
 
 
 
 <ul>
 <li>
 Ensure compliance with organizational SOPs and security standards.
 </li>
 <li>
 Track operational and project tasks using Jira.
 </li>
 <li>
 Collaborate with internal teams and clients to deliver cloud solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Computer Science, IT, or related field.
 </li>
 <li>
 3+ years of experience in DevOps, Cloud Operations, or Infrastructure Engineering.
 </li>
 <li>
 Hands-on expertise with Azure and GCP.
 </li>
 <li>
 Strong skills in Kubernetes, Docker, Terraform, and Ansible.
 </li>
 <li>
 Proficiency in Python, Bash, or PowerShell.
 </li>
 <li>
 Solid understanding of networking, VPCs, VPNs, cloud security.
 </li>
 <li>
 Experience with microservices/serverless architectures.
 </li>
 <li>
 CI/CD pipeline development, monitoring, and incident response experience.
 </li>
 <li>
 Strong troubleshooting, analytical, and communication skills.
 </li>
 </ul>
 
 
</div>

DevOps Engineer

The Risk Advisors

About the RoleWe are building an enterprise-grade GRC + Vulnerability Management platform with AI capabilities.You will be the lead engineer responsible for designing, developing, and deploying the complete frontend and backend architecture.This is a full-ownership role ideal for someone who can work across the stack and make key technical decisions.Key ResponsibilitiesFrontend (React + TypeScript)<ul><li>Develop responsive web UI using React, TypeScript, Next.js/Vite, and modern UI frameworks.</li><li>Implement dashboards, workflow screens, data tables, charts, and forms.</li><li>Integrate secure API communication with the backend.</li><li>Build reusable component libraries and maintain UI consistency across the product.</li><li>Optimize performance and page load times for large datasets (findings, assets, policies, risks).</li></ul>Backend (Django + DRF)<ul><li>Build scalable REST APIs using Django REST Framework.</li><li>Architect modular Django apps for:</li><li>Asset inventory</li><li>Vulnerability ingestion</li><li>Risk &amp; compliance workflows</li><li>Policies, controls, and audit logs</li><li>User/role/access control (RBAC/ABAC)</li><li>Develop complex query logic and data models in PostgreSQL.</li><li>Implement multi-tenant architecture and row-level permissions.</li><li>Integrate Celery + Redis for background processing (scan ingestion, report generation, schedulers).</li></ul>System Design / DevOps<ul><li>Design backend + frontend architecture for scalability and maintainability.</li><li>Implement CI/CD pipelines using GitHub Actions/GitLab.</li><li>Dockerize applications and deploy to cloud environments (AWS/Azure/GCP).</li><li>Ensure logging, monitoring, and observability using standard tooling.</li><li>AI Enablement (collaboration with AI Engineer)</li><li>Integrate platform APIs with AI services (internal FastAPI service or external LLMs).</li><li>Work with vector databases (pgvector/Qdrant) when necessary.</li></ul>Required Skills<ul><li>4+ years in React + TypeScript</li><li>3+ years in Django / Django REST Framework</li><li>Strong PostgreSQL knowledge (indexes, joins, query optimization)</li><li>Experience with Redux/Zustand/React Query</li><li>Hands-on with Docker, Redis, Celery</li><li>Strong understanding of authentication (OAuth2/OIDC/SAML)</li><li>Experience with REST API design &amp; documentation (Swagger/OpenAPI)</li><li>Knowledge of scalable system architecture</li></ul>Bonus Skills<ul><li>Experience building security or compliance platforms</li><li>Knowledge of vulnerability management tools (Qualys, Nessus, Rapid7, etc.)</li><li>GraphQL experience</li><li>Exposure to microservices</li></ul>Soft Skills<ul><li>Ownership mindset</li><li>Ability to work independently</li><li>Strong communication skills</li><li>Product thinking &amp; problem-solving</li></ul>Job Type: Full-timeWork Location: In person

Full-Stack Developer (React + Django) – Lead Platform Engineer

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