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senior django python developer

Hashed Sysytem

Hiring Senior Python/Django developer for our software house on an urgent basis. Candidate resident of Lahore will be preferred or other who are setelled in Lahore.Location: LahoreOnsite JobExperience: 2-3 Years, mjust have sound practical experience on DRF + MVT, experience on multi tenancy project will be plus point.Requirements:Must be graduated from reputed IT universityShould have interest/Experience towards Python Django DevelopmentDesign and implement Python code using the Django framework.Identify and fix bottlenecks that may arise from inefficient code.Identify and fix software bugs.Create a wide variety of unit tests to verify the functionality of software.Manage the security of the platform.Write detailed documentation around the code.The ability to problem-solve and critically think.Familiarity with event driven programming as well as the MVT.Good understanding of SQL databases.Good understanding of REST APIs.Knowledge of front end languages.Should have interest/Experience towards React.Js/Vue.JSJob Type: Full-timePay: Rs90,000.00 - Rs100,000.00 per monthApplication Question(s):<ul><li>Lahore resident will be preferred or who already setlled in Lahore</li></ul>Experience:<ul><li>Django: 3 years (Required)</li></ul>Work Location: In person

Senior Django/Python Developer

Vortexian Tech (SMC-Pvt) Ltd

Urgent Hiring &ndash; Full Stack AI Python Developer (Paid Internship)Location: DHA Phase 8, Lahore, Pakistan Job Type: Internship (Paid | Onsite) Timings: 6:00 PM &ndash; 3:00 AMJob DescriptionWe are urgently hiring a Full Stack AI Python Developer Intern who is passionate about AI, Machine Learning, and Python development. This is a great opportunity for fresh graduates or students to gain hands-on experience in real-world AI projects.You will work closely with senior developers and contribute to live projects involving AI solutions and full-stack development.Key Responsibilities<ul><li>Assist in developing and deploying AI/ML models using Python</li><li>Support backend development using Django / Flask / FastAPI</li><li>Work on API development and integration</li><li>Help integrate AI features into web/mobile applications</li><li>Collaborate with the development team on ongoing projects</li><li>Participate in learning, research, and development tasks</li></ul>Requirements<ul><li>Basic to intermediate knowledge of Python</li><li>Understanding of AI/ML concepts (NLP, ML basics, etc.)</li><li>Familiarity with Django / Flask / FastAPI (preferred)</li><li>Passion for AI and software development</li><li>Good English communication skills</li><li>Willingness to work onsite in DHA Phase 8, Lahore</li><li>Quick learner with problem-solving mindset</li></ul>Nice to Have<ul><li>Basic exposure to TensorFlow / PyTorch / Scikit-learn</li><li>Familiarity with LLMs (ChatGPT, APIs, etc.)</li><li>Knowledge of Git, Docker, or cloud basics</li><li>Understanding of frontend frameworks (React, etc.)</li></ul>What You&rsquo;ll Get<ul><li>Paid Internship</li><li>Hands-on experience in AI &amp; Full Stack Development</li><li>Work on real-world projects</li><li>Opportunity for full-time job after internship</li><li>Supportive and learning-focused environment</li></ul>Apply NowApply via Indeed Immediate joiners will be preferred.Job Type: Full-timePay: Rs15,000.00 - Rs25,000.00 per monthWork Location: In person

Urgent Hiring – Full Stack AI Python Developer (Paid Internship)

Urgent Hiring &ndash; Full Stack AI Python DeveloperLocation: DHA Phase 8, Lahore, Pakistan Job Type: Full-Time (Onsite)Timings: 6:00 PM &ndash; 3:00 AMJob DescriptionWe are urgently hiring a talented Full Stack AI Python Developer with strong hands-on experience in Python development and AI/ML technologies. The ideal candidate should be passionate about building intelligent systems, writing clean code, and working in a fast-paced development environment.This role is primarily development-focused, with opportunities to work on cutting-edge AI solutions and modern full-stack applications.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models using Python</li><li>Build and maintain backend systems and APIs (Django / Flask / FastAPI)</li><li>Integrate AI features into web and mobile applications</li><li>Work with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face</li><li>Collaborate with frontend and mobile developers (React, Flutter, etc.)</li><li>Optimize application performance and scalability</li><li>Participate in code reviews and technical discussions</li></ul>Requirements<ul><li>Strong experience in Python development</li><li>Hands-on experience in AI/ML (NLP, Deep Learning, ML pipelines)</li><li>Experience with Django / Flask / FastAPI</li><li>Knowledge of API development and integration</li><li>Good English communication skills</li><li>Ability to work onsite in DHA Phase 8, Lahore</li><li>Strong problem-solving skills and attention to detail</li></ul>Nice to Have<ul><li>Experience with LLMs (OpenAI APIs, LangChain, RAG pipelines)</li><li>Knowledge of Docker, CI/CD, AWS/Azure/GCP</li><li>Exposure to React, Laravel, or Flutter</li><li>Experience working on SaaS, ERP, or Healthcare projects</li></ul>Only serious and immediate joiners are encouraged to apply.Job Type: Full-timePay: Rs120,000.00 - Rs135,000.00 per monthWork Location: In person

Urgent Hiring – Full Stack AI Python Developer

RMA Metering Private Limited

Backend Developer Intern Responsibilities<ul><li>Develop server-side logic for web applications</li><li>Build and maintain APIs (REST / GraphQL)</li><li>Integrate front-end components with backend services</li><li>Work with databases to store and retrieve data</li><li>Debug and optimize backend performance</li></ul>Skills RequiredImportant backend skills:<ul><li>Python, Java, or Node.js</li><li>Database management (MySQL, PostgreSQL, MongoDB)</li><li>Understanding of RESTful APIs</li><li>Version control with Git</li><li>Basic knowledge of server and hosting environments</li></ul>Tools/Frameworks Often Used<ul><li>Django</li><li>Spring Boot</li><li>Express.js</li><li>Postman</li></ul>Education Requirements<ul><li>Bachelor of Science in Computer Science</li><li>Bachelor of Science in Software Engineering</li><li>Bachelor of Science in Information Technology</li></ul>Internship Duration<ul><li>4 months</li></ul>Career PathAfter internship you can become:<ul><li>Junior Backend Developer</li><li>API Developer</li></ul>Internship Policy:<ul><li>Duration: 4 months</li><li>First Month: Unpaid (training &amp; evaluation phase)</li><li>Stipend: PKR 15,000 per month from 2nd month onward (subject to performance evaluation)</li><li>Certification: Internship Completion Certificate upon successful completion of 4 months; otherwise, no certificate will be issued</li><li>Post-Internship Review: A combined performance review meeting will be conducted involving HOD Department, PM, and HR to recommend suitable internees for employment</li><li>Employment Offer (if selected):</li><li>Starting Salary: PKR 30,000</li><li>Probation Period: 3 months</li><li>Post-Probation Increment: PKR 20,000 (subject to satisfactory performance)</li></ul>NOTE: If you successfully complete the four-month internship, you may be offer/ considered for a full-time job opportunity with the company.Pay: Rs15,000.00 per monthWork Location: In person

Internship -Backend Developer

AU Software

Full Stack Engineer / Web DeveloperLahore, Punjab, Pakistan Job DescriptionWe are seeking a full stack developer with adequate experience to work independently and with minimal supervision. The successful candidate will report to the Senior Web Developer.The successful candidate will work in Lahore, Pakistan. The role includes and is not limited to:<ul><li>Design database architecture and Implement the MySQL querying language.</li><li>Develop TypeScript.</li><li>Develop backend PHP architecture.</li><li>Develop Data Passing JSON structure between the current and new webpages.</li><li>Develop website's UI design</li><li>Taking responsibility for version controls in the project with branch merging, resolving merge conflicts and reviewing team codes before pushing to the server.  </li></ul>Frameworks used in website:<ul><li>Angular</li><li>Front end: HTML5, CSS, Typescripts</li><li>Data Passing: REST APIs (JSON)</li><li>Back end: Python and PHP</li><li>Server hosting: Amazon Web Services (AWS)</li><li>Query language: MySQL deployed in RDS</li><li>Version Control: Git</li><li>Process Management: JIRA &amp; Agile methodology</li></ul> Requirements for the Job:<ul><li>University level degree in computer science, software engineering or IT related field.</li><li>Experienced and a proven ability to work as a full stack web developer.</li><li>Ability to work independently.</li></ul> Qualifications- At least 3 years experience across the full development lifecycle- Must be able to work independently under minimal supervision- A strong working knowledge of Angular, Python and PHP.- Hands-on experience using relational databases like mySQL- High attention to detail with a problem-solving aptitude- Completed a degree in software engineering or computer science- To enjoy working in a startup culture. Additional InformationNo agencies, please.

Full Stack Engineer / Web Developer

MESI Group

Senior Shopify Developer (Full-Stack)Location: Lahore office| Preferably with experience in EU/US marketsTimings: 4 hours a day (1pm till 5.30pm - half hour break included)Experience: 5+ yearsAbout the Role:We&rsquo;re looking for a Senior Shopify Developer with a proven track record and experience working with European or US-based companies. You&rsquo;ll be responsible for maintaining and developing high-performance Shopify stores, implementing third-party integrations, optimizing performance, and ensuring platform security and stability.Responsibilities:Develop, maintain, and optimize custom Shopify themes and appsIntegrate third-party services (e.g., Stripe, PayPal, shipping APIs)Ensure GDPR compliance and data security best practicesOptimize site performance and caching (e.g., Redis, CDN)Collaborate with designers to implement clean, responsive UI/UXMaintain Git version control and follow development best practicesKey Backend Skills:Shopify API (REST &amp; GraphQL) &ndash; automation, integration, and data handlingLiquid (Shopify Templating) &ndash; customizing themes and dynamic contentCustom App Development &ndash; with Node.js, Ruby, Python, or PHPDatabases &ndash; MySQL, PostgreSQL, or using Shopify Admin APISecurity &amp; Compliance &ndash; GDPR, secure coding practicesPerformance Optimization &ndash; Redis, CDN, caching strategiesKey Frontend Skills:HTML, CSS (SCSS), JavaScript (ES6+)Liquid &ndash; advanced Shopify theme customizationReact, Vue, Ajax &ndash; dynamic elements like filtering, quick cartsTheme Customizer &amp; Sections &ndash; building modular, editable componentsResponsive Design &ndash; mobile-first and cross-browser compatibilityUI/UX &ndash; implementing designer layouts with attention to detailPage Speed &ndash; optimizing assets, lazy loading, minificationBonus Skills:Experience with Shopify PlusKnowledge of Shopify SEO best practicesFamiliarity with Git (GitHub) workflows and collaborationWhat We&rsquo;re Looking For:5+ years of development experience (Shopify or e-commerce focused)Strong communication and collaboration skillsPortfolio or code samples (GitHub/Bitbucket link is a plus)Ability to work independently and deliver high-quality codeJob Type: Part-timeApplication Question(s):<ul><li>Current Salary?</li><li>Expected Salary?</li><li>Availability to join?</li><li>Portfolio Link</li></ul>Work Location: In person

Part-Time Shopify Developer

Stewart Pakistan Private Limited

<div>
 
 DATABRICKS ARCHITECT
 
 
 Job Description&middot; Engineering Leadership
 
 
 Department Data Engineering / Platform
 
 
 Experience 5+ Years (Databricks / Lakehouse)
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for a hands-on, senior Databricks Architect to design, build, and govern our Lakehouse data platform from the ground up. You will own the end-to-end architecture of our data infrastructure &mdash; from raw ingestion through the Medallion layers to serving &mdash; and establish the engineering standards that will guide the entire data organization.
 
 
 This is a highly strategic and technical role focused on driving adoption of Databricks, Unity Catalog, and modern Lakehouse patterns across all data products and pipelines.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Design
 
 
 <ul>
 <li>
 Design and implement a production-grade Medallion Architecture (Bronze / Silver / Gold) across all data pipelines.
 </li>
 <li>
 Establish best practices for Delta Lake table design, partitioning strategies, Z-ordering, and optimization across large-scale datasets.
 </li>
 <li>
 Define data modeling standards and schema evolution policies across the Lakehouse.
 </li>
 <li>
 Architect end-to-end data flows from ingestion (streaming and batch) through transformation and serving layers.
 </li>
 </ul>
 
 
 
 
 
 Unity Catalog &amp; Data Governance
 
 
 <ul>
 <li>
 Lead the setup, configuration, and rollout of Unity Catalog as the centralized governance layer for all data assets.
 </li>
 <li>
 Design meta store hierarchy, catalog/schema/table organization, and tagging standards.
 </li>
 <li>
 Implement fine-grained access control (row-level, column-level), data masking policies, and audit logging.
 </li>
 <li>
 Establish data lineage tracking and ensure end-to-end visibility across all pipelines.
 </li>
 <li>
 Define and enforce data classification and sensitivity frameworks for PII and regulated data assets.
 </li>
 </ul>
 
 
 
 
 
 Pipeline Development &amp; Orchestration
 
 
 <ul>
 <li>
 Build and maintain production-grade data pipelines using PySpark, Delta Live Tables (DLT), and Databricks Workflows / Jobs.
 </li>
 <li>
 Design modular, reusable pipeline patterns including incremental ingestion, CDC (Change Data Capture), and full-refresh strategies.
 </li>
 <li>
 Implement robust pipeline observability: logging, alerting, lineage tracking, and SLA monitoring.
 </li>
 <li>
 Leverage Databricks Repos for CI/CD integration, managing code promotion across dev / staging / production environments.
 </li>
 </ul>
 
 
 
 
 
 Performance &amp; Compute Optimization
 
 
 <ul>
 <li>
 Optimize Spark execution plans, identify and resolve performance bottlenecks across large-scale distributed workloads.
 </li>
 <li>
 Right-size cluster configurations: Serverless warehouses, auto-scaling job clusters, and photon-enabled SQL warehouses.
 </li>
 <li>
 Leverage Serverless Warehouses and SQL Warehouses for BI and ad hoc analytics workloads, minimizing cost and cold-start latency.
 </li>
 <li>
 Manage cost governance for compute, storage, and DBU consumption across workspaces.
 </li>
 </ul>
 
 
 
 
 
 Developer Experience &amp; Standards
 
 
 <ul>
 <li>
 Set up and maintain Databricks Repos with standardized project structures and Git integration.
 </li>
 <li>
 Define Python coding standards, notebook best practices, and modular library patterns for the data engineering team.
 </li>
 <li>
 Build reusable Python utility libraries for common patterns: schema validation, data quality checks, Delta operations, and logging.
 </li>
 <li>
 Establish unit testing and integration testing frameworks for Spark pipelines.
 </li>
 </ul>
 
 
 
 
 
 Security, Compliance &amp; Networking
 
 
 <ul>
 <li>
 Configure workspace-level and account-level security: Private Link, IP access lists, secrets management via Databricks Secrets or AWS Secrets Manager.
 </li>
 <li>
 Design and enforce network isolation for sensitive data workloads.
 </li>
 <li>
 Ensure compliance with data residency and access control requirements for customer data.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Enablement
 
 
 <ul>
 <li>
 Partner with data engineers, data scientists, and analytics engineers to ensure the platform meets diverse workload needs.
 </li>
 <li>
 Mentor the engineering team on Databricks, Spark optimization, and Lakehouse best practices.
 </li>
 <li>
 Produce architectural documentation, runbooks, and internal knowledge bases.
 </li>
 <li>
 Evaluate and recommend new Databricks features and third-party integrations relevant to the organization's data roadmap.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Core Databricks &amp; Lakehouse
 
 
 <ul>
 <li>
 5+ years of hands-on experience with Databricks, with at least 2 years in an architect or senior lead role.
 </li>
 <li>
 Deep expertise in Unity Catalog: metastore setup, three-level namespace, ACL design, and data governance workflows.
 </li>
 <li>
 Strong mastery of the Medallion Architecture and Delta Lake: ACID transactions, time travel, compaction, and OPTIMIZE/VACUUM strategies.
 </li>
 <li>
 Proven experience designing and deploying production pipelines with Databricks Jobs and Workflows, including multi-task job DAGs, retry logic, and notifications.
 </li>
 <li>
 Hands-on experience with Databricks Repos and CI/CD integration for notebook and Python library deployments.
 </li>
 <li>
 Experience configuring and operating Serverless SQL Warehouses and Serverless compute for Jobs.
 </li>
 </ul>
 
 
 
 
 
 Apache Spark
 
 
 <ul>
 <li>
 Expert-level PySpark development: DataFrames, Spark SQL, window functions, broadcast joins, and UDFs.
 </li>
 <li>
 Strong understanding of Spark internals: DAG execution, shuffle optimization, memory management, and speculative execution.
 </li>
 <li>
 Experience with structured streaming and micro-batch processing patterns.
 </li>
 <li>
 Proven ability to diagnose and resolve Spark performance issues using Spark UI and event logs.
 </li>
 </ul>
 
 
 
 
 
 Python &amp; Software Engineering
 
 
 <ul>
 <li>
 Advanced Python skills with a strong software engineering background: packaging, testing (pytest), virtual environments, and dependency management.
 </li>
 <li>
 Experience building modular Python libraries for data engineering use cases.
 </li>
 <li>
 Familiarity with common data engineering libraries: pandas, pydantic, great_expectations or similar DQ frameworks.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure
 
 
 <ul>
 <li>
 Experience deploying Databricks on AWS, including workspace provisioning, IAM integration, and VPC configuration.
 </li>
 <li>
 Familiarity with cloud-native storage (S3/ADLS), external locations in Unity Catalog, and storage credentials management.
 </li>
 <li>
 Exposure to infrastructure-as-code tooling (Terraform, Databricks Asset Bundles, or similar).
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Databricks Certified Data Engineer Professional or Databricks Certified Associate Developer for Apache Spark certifications.
 </li>
 <li>
 Experience with Delta Live Tables (DLT) for declarative pipeline authoring.
 </li>
 <li>
 Familiarity with dbt (data build tool) integrated with Databricks SQL.
 </li>
 <li>
 Experience with Databricks Feature Store or MLflow for ML platform use cases.
 </li>
 <li>
 Exposure to Databricks Marketplace and Partner Connect integrations.
 </li>
 <li>
 Experience with Elasticsearch, Apache Kafka, or other streaming/search technologies complementary to the Lakehouse.
 </li>
 </ul>
 
 
 
 
 
 Core Technology Stack
 
 
 
 
 
 <ul>
 <li>
 Databricks
 </li>
 <li>
 Apache Spark Delta Lake
 </li>
 <li>
 Unity Catalog
 </li>
 <li>
 Medallion Architecture
 </li>
 <li>
 Databricks Jobs
 </li>
 <li>
 Databricks Repos
 </li>
 <li>
 DLT
 </li>
 <li>
 Python / PySpark
 </li>
 <li>
 Serverless Warehouses
 </li>
 <li>
 AWS / S3
 </li>
 <li>
 CI/CD
 </li>
 </ul>
</div>

Senior Data Bricks Architect

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