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Cloudelligent

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
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AWS Data Engineer

Aricrypta

<div>
 We are seeking a data engineer to join our data engineering &amp; analytics team. The ideal candidate will be responsible for designing, building, and maintaining the infrastructure that enables our organization to store, process, and analyze large volumes of data. The successful candidate will work closely with our data scientists and analysts to ensure that they have access to clean, reliable data for their work. The engineer is required to have hands-on experience with implementing data analytics &amp; data lake solutions on the Azure cloud platform.
 
 
 
 Resposibilities
 
 
 
 <ul>
 <li>
 Design and implement data pipelines that move data from various sources into a central repository or data lake.
 </li>
 <li>
 Develop and maintain data warehouses and data marts that enable data analysis and reporting.
 </li>
 <li>
 Create and maintain ETL (extract, transform, load) processes that clean and transform data for analysis.
 </li>
 <li>
 Build and manage big data platforms such as Hadoop, Spark, or NoSQL databases.
 </li>
 <li>
 Design and implement data security and privacy measures to protect sensitive data.
 </li>
 <li>
 Collaborate with data scientists and analysts to provide access to the data they need for their work.
 </li>
 <li>
 Automate data processing and data quality checks to ensure that data is accurate and reliable.
 </li>
 <li>
 Develop and maintain data documentation and data dictionaries.
 </li>
 <li>
 Evaluate new data technologies and tools and make recommendations to improve the organization&rsquo;s data capabilities.
 </li>
 <li>
 Troubleshoot data infrastructure issues and optimize performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
 </li>
 <li>
 Hands-on experience Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake, Azure Search
 </li>
 <li>
 Strong programming skills in Python, Java, or another language.
 </li>
 <li>
 Experience with ETL (extract, transform, load) processes and data pipeline design.
 </li>
 <li>
 Familiarity with data warehousing and data modeling concepts. Experience with cloud-based data solutions such as AWS, Google Cloud Platform, or Azure.
 </li>
 <li>
 Strong problem-solving skills and the ability to work in a fast-paced environment.
 </li>
 <li>
 Excellent communication skills and the ability to work effectively in a team.
 
 
 </li>
 </ul>
 Office Address: D-Markaz Gulberg Residencia Islamabad
 
 
 Competitive market salary and other benefits will be offered to the hired applicant.
 
 
 For further information, please send your email to career@aricrypta.com
</div>

Data Engineer

S&P Global

About the Role: 
Grade Level (for internal use): 09
 
The Team : 
This team is responsible for delivering S&P Global data via structured feeds, with a specialized focus on Private Markets and Fundamental Data . Their mission is to ensure timely, accurate, and scalable delivery of high-value financial datasets to clients and internal platforms, enabling deep insights into private equity, venture capital, and company fundamentals.
 
The Impact : 
This role plays a critical part in accelerating the migration of data delivery channels to cloud-native infrastructure , enabling faster, more scalable, and resilient distribution of S&P Global’s financial datasets. By modernizing legacy systems and embracing cloud technologies, this role directly contributes to:
 Improved performance and reliability of data feeds.
 Greater agility in responding to client and market needs.
 Enhanced security and compliance through cloud-native best practices.
 Future-proofing the data delivery ecosystem for innovation and growth.
 
What’s in it for you : 
Impactful Work : Deliver high-value Private Markets and Fundamental data that drives key investment decisions globally.
 Cloud-Native Innovation : Play a central role in accelerating the migration to modern, cloud-native infrastructure—enhancing scalability, performance, and reliability.
 Domain & Technical Expertise : Be part of a team that blends deep financial domain knowledge with strong technical capabilities.
 Dynamic Team Culture : Work alongside a passionate, collaborative, and agile team that delivers world-class financial data to the market.
 Growth Opportunities : Gain hands-on experience with cutting-edge technologies, cloud platforms, and data engineering practices.
 
Responsibilities: 
Deliver Private Markets and Fundamental datasets through robust data pipelines.
 Participate in design sessions for new product features and capabilities
 Accelerate the migration of delivery channels to cloud-native infrastructure , improving scalability, reliability, and performance.
 Engineer components and common services based on standard corporate development models, languages and tools.
 Collaborate effectively with technical and non-technical stakeholders.
 
What We’re Looking For: 
Bachelor's/PG degree in Computer Science, Information Systems or equivalent.
 6-9 years of strong experience in application development using oracle or Microsoft technologies
 Proficient with software development lifecycle (SDLC) methodologies like Agile , Scrum, Test-driven development .
 Strong command of essential technologies: SQL , AWS EC2, S3, RDS, Redshift, AWS Lambda and Step functions, Terraform, Python/Java, T-sql, PL/SQL,
 
About S&P Global Market Intelligence
 
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
 
For more information, visit www.spglobal.com/marketintelligence .
 
What’s In It For You?
 
Our Purpose: 
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
 
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 309097
 Posted On: 2025-09-10
 Location: Islamabad, Pakistan

Engineer, Software Engineering

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-09-09
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

Senior Data Scientist

Value Engineering

Position: Senior Software Engineer &ndash; AI/ML Location: On-Site, Night Shift, Bahria Phase 4 Rawalpindi Experience Required: 5&ndash;8 years in software development with strong AI/ML expertise Employment Type: Full-timeAbout the RoleWe are looking for a highly skilled Senior Software Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Python development. In this role, you will design, develop, and deploy advanced AI/ML solutions, working closely with data scientists, researchers, and engineering teams to build scalable, high-performance systems.Key Responsibilities<ul><li>Design, develop, and optimize AI/ML models and algorithms for production use.</li><li>Write clean, efficient, and scalable Python code for ML pipelines and applications.</li><li>Collaborate with data scientists to turn research prototypes into production-ready systems.</li><li>Build and maintain data pipelines, APIs, and deployment frameworks for ML models.</li><li>Ensure solutions meet standards for performance, reliability, and scalability.</li><li>Conduct code reviews, mentor junior engineers, and share best practices.</li><li>Stay up to date with the latest AI/ML trends, frameworks, and tools.</li><li>Work with cloud platforms (AWS, Azure, GCP) for model training and deployment.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>5&ndash;8 years of software engineering experience with at least 3+ years in AI/ML projects.</li><li>Expert-level proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).</li><li>Strong understanding of machine learning, deep learning, and statistical modeling.</li><li>Hands-on experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS Sagemaker, GCP AI Platform, Azure ML).</li><li>Experience with CI/CD pipelines, containerization (Docker, Kubernetes).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred Skills<ul><li>Experience in NLP, Computer Vision, or Generative AI.</li><li>Familiarity with big data tools (Spark, Hadoop).</li><li>Contributions to open-source AI/ML projects.</li></ul>Why Join Us?<ul><li>Work on cutting-edge AI/ML projects that make real-world impact.</li><li>Be part of a collaborative and innovative engineering culture.</li><li>Competitive compensation, benefits, and opportunities for career growth.</li><li>Exposure to modern technologies and continuous learning opportunities.</li></ul>Job Type: Full-timeWork Location: In person

Senior Software Engineer AI/ML

Kodifly

<div>About Kodifly: 
Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle.
Job Description:
We are looking for a DevOps Engineer with a strong focus on building internal tools, CI/CD pipelines, and scalable infrastructure that supports both edge and cloud applications. This role is critical to enabling the productivity of our AI and software engineering teams. Your contributions will empower our developers to build, deploy, and iterate on complex systems that rely on real-time spatial data processing, ultimately powering smarter, safer cities.
Key Responsibilities:<ul><li>
Design, implement, and maintain scalable and reliable infrastructure solutions for both edge and cloud environments.</li><li>
Develop and maintain CI/CD pipelines to ensure seamless, efficient software delivery.</li><li>
Monitor and optimize system performance, ensuring high availability, scalability, and reliability.</li><li>
Implement infrastructure as code using tools like Terraform or CloudFormation.</li><li>
Automate routine tasks to enhance operational efficiency and reduce manual intervention.</li><li>
Conduct regular system audits and security assessments to proactively address vulnerabilities.</li><li>
Troubleshoot and resolve infrastructure and deployment issues promptly.</li><li>
Collaborate with cross-functional teams to drive continuous improvement, innovation, and effective software releases.</li><li>
Participate in the design and development of new features leveraging advanced computer vision to enhance digital twin capabilities.</li><li>
Analyze performance data and iterate on solutions to improve accuracy and robustness in spatial data handling.</li><li>
Stay up-to-date with the latest trends and best practices in DevOps, cloud technologies, and computer vision.</li></ul>
Qualifications:<ul><li>
Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field</li><li>
Proficiency in creating applications for the cloud and edge</li><li>
3 plus years of proven experience as a DevOps Engineer or in a similar role</li><li>
Experience with ROS software and methodologies.</li><li>
Proficient in scripting and programming languages such as C++, Python, or similar.</li><li>
Excellent analytical, problem-solving, and communication skills.</li><li>
Team-oriented with an ability to work in a collaborative environment.</li><li>
Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and associated services.</li><li>
Experience with configuration management tools (e.g., Ansible, Puppet, Chef).</li><li>
Proficiency in containerization technologies such as Docker and Kubernetes.</li><li>
Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence).</li><li>
Familiarity with monitoring and log aggregation tools (e.g., Prometheus, ELK stack).</li><li>
Strong understanding of networking concepts and protocols.</li><li>
Excellent problem-solving and troubleshooting skills.</li><li>
Ability to work independently and collaboratively in a fast-paced and dynamic environment.</li><li>
Strong communication and interpersonal skills.</li></ul>
We Offer:<ul><li>
Opportunity to work with state-of-the-art technology in a rapidly evolving field.</li><li>
A collaborative environment where innovation is encouraged and rewarded.</li><li>
Competitive salary and share options</li><li>
Professional and personal development opportunities and a chance to make a significant impact in infrastructure safety and efficiency.</li></ul>
Join Us at Kodifly: If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology!</div>

DevOps Engineer

Explore 534+ Cloud data engineer in Islamabad this October. Find roles across top companies and apply now to boost your career.

534 cloud data engineer jobs IN Islamabad

AWS Data Engineer

Data Engineer

Engineer, Software Engineering

Senior Data Scientist

Senior Data Scientist

Senior Software Engineer AI/ML

DevOps Engineer