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The Cloud Engineer is responsible for designing, deploying, and managing cloud-based infrastructure on AWS and Azure. This role ensures the security, scalability, and optimization of cloud resources while implementing best practices for governance, networking, automation, and cost management.

Location: Lahore

Key Responsibilities:

• Design, deploy, and manage cloud-based infrastructure and services on AWS and Azure.
• Manage cloud operations, including patch management, virtual machines, storage, Azure SQL Database, DNS, AVD, and capacity reporting.
• Design and implement high-availability (HA) cloud architectures across multiple regions.
• Manage multi-account cloud environments, including governance via AWS Organizations and Azure Management Groups.
• Automate cloud account setup and governance using AWS Control Tower and Azure Blueprints.
• Design and implement secure, scalable cloud landing zones.
• Enforce organizational policies, tagging strategies, and compliance using AWS Config and Azure Policy.
• Implement CI/CD pipelines using GitHub Actions, Azure DevOps, and Jenkins.
• Conduct Well-Architected Reviews and implement best practices.
• Optimize cloud costs through cost allocation tags, reserved instances, and billing management.
• Manage cloud networking, including VPCs, subnets, CIDR segmentation, and Transit Gateway.
• Establish dedicated network connections via Direct Connect, ExpressRoute, or IPSec Tunnels.
• Design hybrid cloud network architectures integrating on-premises and cloud environments.
• Implement cost-saving strategies like rightsizing, auto-scaling, and workload scheduling.
• Utilize AWS Security Hub and Azure Security Centre for security enforcement.
• Automate infrastructure using Terraform, AWS CloudFormation, Bicep, or Azure ARM Templates.
• Implement and manage microservices architecture and patterns.
• Collaborate with teams and stakeholders while demonstrating strong communication skills.
• Troubleshoot and resolve cloud-related issues.
• Manage disaster recovery (DR) and backup solutions using native cloud services.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field.

Experience:

• Minimum 5+ years of experience in a cloud engineering role.

Technical Skills :

• Expertise in AWS and Azure cloud platforms.
• Strong knowledge of multi-account governance, automation, and security in cloud environments.
• Experience with CI/CD pipelines and deployment automation tools.
• Proficiency in cloud cost optimization strategies.
• Strong understanding of cloud networking and hybrid cloud architectures.
• Hands-on experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, Bicep, or Azure ARM Templates.

Functional Skills:

• Strong problem-solving mindset and attention to detail.
• Ability to collaborate across teams and work with multiple stakeholders.
• Excellent written and verbal communication skills.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Preferred Qualifications:

• Experience in cloud security best practices and Well-Architected Framework reviews.
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If you're ready to innovate and create with cutting-edge AI, Cloudelligent is looking for talented engineers like you.

Position Title : AWS AI Engineer

Job Timings : 6pm-3am PKT

Location : Lahore

About Cloudelligent

Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups & 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

As an AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning.

Responsibilities:

• Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.

• Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.

• Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.

• Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.

• Apply techniques to reduce AI hallucination and enhance model reliability.

• Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.

• Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.

• Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.

• Engage in prompt engineering to enhance model interaction and output quality.

• Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.

• 4+ years of hands-on experience in AI/ML development.

• Strong programming skills, particularly in Python, and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.

• Experience with cloud-based AI services, especially AWS Bedrock, Amazon SageMaker, and Azure OpenAI.

• Familiarity with AWS data services, including Amazon Athena, Amazon Redshift, and AWS Glue.

• Knowledge of Agentic Behavior in AI, with experience in deploying models using CrewAI, LangGraph, and Langchain.

• Familiarity with vector databases and similarity search techniques.

• Solid understanding of various AI/ML algorithms and architectures, including but not limited to CNNs, RNNs, and transformers.

• Experience in data preprocessing, feature engineering, and model evaluation.

• Excellent problem-solving and communication skills.

Good to Have:

• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.

• Knowledge of big data technologies such as Apache Spark or Hadoop.

• Familiarity with data visualization tools and techniques.

Highly Desirable:

• Relevant certifications (e.g., AWS Certified Machine Learning – Specialty).

If you're ready to innovate and create with cutting-edge AI, Cloudelligent is looking for talented engineers like you.

Position Title : AWS AI Engineer

Job Timings : 6pm-3am PKT

Location : Islamabad

About Cloudelligent

Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups & 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

As an AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning.

Responsibilities:

• Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.

• Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.

• Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.

• Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.

• Apply techniques to reduce AI hallucination and enhance model reliability.

• Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.

• Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.

• Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.

• Engage in prompt engineering to enhance model interaction and output quality.

• Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.

• 4+ years of hands-on experience in AI/ML development.

• Strong programming skills, particularly in Python, and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.

• Experience with cloud-based AI services, especially AWS Bedrock, Amazon SageMaker, and Azure OpenAI.

• Familiarity with AWS data services, including Amazon Athena, Amazon Redshift, and AWS Glue.

• Knowledge of Agentic Behavior in AI, with experience in deploying models using CrewAI, LangGraph, and Langchain.

• Familiarity with vector databases and similarity search techniques.

• Solid understanding of various AI/ML algorithms and architectures, including but not limited to CNNs, RNNs, and transformers.

• Experience in data preprocessing, feature engineering, and model evaluation.

• Excellent problem-solving and communication skills.

Good to Have:

• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.

• Knowledge of big data technologies such as Apache Spark or Hadoop.

• Familiarity with data visualization tools and techniques.

Highly Desirable:

• Relevant certifications (e.g., AWS Certified Machine Learning – Specialty).

Disrupt.com is a global platform that builds, scales and invests in high-growth technologyventures. Asone of the most successful venture builders in the MENA region with a portfolio of 10+ companiesandnotable exits (Cloudways $350Mn acquisition by Digital Ocean) - Disrupt.com partners withfounders at avery early stage, helping them achieve product-market fit and power through the first point ofthescale.

Our unstoppable team of 600+ employees is the best and the brightest, driving innovation across7 GlobalSaaS Brands in 6 hottest industries, including Cybersecurity, Direct-to-consumer, Managed Cloud,Affiliate Marketing, Digital Media, Web.3.0, and Venture Building as a Service.

Our team is made up of dreamers, doers, and all-around rockstars who are committed to making adifference. As a result, we’re among the best companies to work for, with a plethora of benefitsand anamazing culture.

We are seeking a skilled DevOps Engineer with 2-4 years of hands-on experience in AWS cloud environments.

The ideal candidate will help us build, maintain, and optimize our cloud infrastructure while implementing best practices in security, automation, and serverless architecture

• Design, implement, and manage AWS cloud infrastructure using Infrastructure as Code (IaC)
• Build and maintain CI/CD pipelines for automated testing and deployment
• Configure and optimize containerized applications using Docker and container orchestration tools
• Implement serverless architectures leveraging AWS Lambda and related services
• Design and maintain queue systems for asynchronous processing using SQS, SNS, RabbitMQ, or Kinesis
• Monitor system performance and implement automated scaling solutions
• Create and maintain performance dashboards and KPIs to track system health and efficiency
• Ensure infrastructure security through implementation of AWS security best practices
• Collaborate with development teams to improve operational efficiency and reliability

2-4 years of professional experience in DevOps roles with AWS focus

Expert-level Linux administration skills including shell scripting, system optimization, and troubleshooting

Strong knowledge of AWS services including:

• EC2, S3, RDS, VPC
• AWS Lambda and serverless framework
• CloudFormation and/or Terraform
• IAM and security best practices
• API Gateway
• ECS/EKS for container orchestration

Experience with Docker container technologies and image optimization

Hands-on experience implementing messaging and queue systems (SQS, SNS, RabbitMQ, Kinesis)

Proficiency in creating performance monitoring dashboards and defining relevant KPIs

Proficiency in at least one scripting language (Python, Bash, etc.)

Experience with CI/CD tools (Jenkins, GitHub Actions, AWS CodePipeline, etc.)

Knowledge of infrastructure monitoring and logging solutions

AWS certifications (Solutions Architect, DevOps Engineer, etc.) strongly preferred

Experience with microservices architecture

Knowledge of Kubernetes

Experience with infrastructure security scanning and compliance tools

Familiarity with database systems (SQL and NoSQL)

Join Disrupt.com for an extraordinary work experience!

Fast-paced careers, competitive packages, comprehensive well-being programs, extensive medicalcoverage,continuous learning opportunities, generous perks, and an exceptional employee experience awaityou.

Embrace a fulfilling journey with us today!

Note: Please login to applyif you already have a account

ONE Technology Services: We are looking for multiple platforms experienced DevOps Engineer (AWS) for one of our partners in the US to join our fast-paced development team. Overall, you will work closely with the entire technology team.

We are looking for people who have experience in dealing with International Customers. We are much focused on accuracy, attention to detail, and timeliness as you seamlessly fit within our sprint process and agile methodology. You will be asked to take the initiative on your workload, so self-motivation is a must.

The ideal candidate will have strong analytical skills with the ability to work independently on projects, in addition to the technical aptitude for the position. The position requires the ability to communicate effectively to non-technical and technical staff, understand product architecture, infrastructure setup, installation/deployment, and end usage models, troubleshoot technical issues, and provide effective resolution.

• Bachelor’s degree or higher in the related field

• 2 years
• Strong DevOps experience on the AWS side
• At least 1.5 years of experience in building, testing, and maintaining the infrastructure and tools to allow for the speedy development and release of the software.

• Work in a highly collaborative operations team to streamline the process of implementing a security Confidential AWS cloud environment and introduce best practices for remediation
• Analyze the subscriptions for various business cases to apply organization-specific security guidelines
• Gathering the requirements from the clients about the existing applications to apply the security measures
• Understand the latest features like (AWS DevOps, OMS, NSG Rules, etc.) introduced by AWS and utilize it for existing business applications
• Work on GIT to maintain source code in Git and GitHub repositories
• Proficient with AWS services: Compute and Network, Storage and CDN, Database, Analytics, Application Services, Deployment, and Management
• Experience with multi-tier architectures: load balancers, caching, web servers, application servers, databases, and networking
• Familiarity interacting with AWS APIs
• AWS Disaster Recovery design and deployment across regions a plus
• Use tools like Visual Studio Community Edition, Visual Studio Code, Power Shell ISE, and SQL Server Management Studio.
• Work with Agile methodology in XL Deploy and XL Release, CI/CD automation from scratch, Docker, OpenSearch is a Must
• Experience in automation and testing via scripting & programming (TFS, PowerShell, Jenkins, Python, Ruby, Java)
• Work on implementing Continuous Integration and deployment is a Must.
• Conduct Dry-Run Tests to ensure fool-proof execution of customized scripts before execution in production environments.
• Experienced in building, deploying, and integrating Python-based web and mobile applications
• Work on implementing backup methodologies by Power Shell Scripts for AWS Services like AWS SQL Database, Key Vault, Storage blobs, App Services, etc.
• Create AWS services using ARM templates (JSON) and ensure no changes in the present infrastructure while doing the incremental deployment.
• Configure the XL Deploy and XL Release for all the applications from scratch
• Acted as build and release engineer, deployed the services by VSTS (AWS DevOps) pipeline. Create and Maintain pipelines to manage the IAC for all the applications
• Assign RBAC policies Confidential group level and user level as per the LTA created for the services implement new (Automation account, scheduler, notification hub, IoT Hubs, Batch, and other services)
• Write PowerShell scripts to create the parameter files automatically for all the services in AWS Resource Manager
• Assign RBAC Roles using Organization Active Directory Confidential the Subscription Level to grant access only to required members based on Least-Access Privileges
• Collaborate with cross-functional teams (firewall team, database team, application team) in the execution of this project.
• Use the Service-Now tool for managing incidents and change request tickets
• Experience in troubleshooting the database connection issues on incremental deployments
• Provide status to Business Level management and Technical and conduct Proof of Concept for the Latest AWS cloud-based service
• Exposure to monitoring and diagnostic tools/dashboards like the Kuban

Once you've applied, sit back and relax while we get to work on our side! You can expect to hear back from us within 3 working days. Our recruitment team will call you on the provided contact number for initial screening. Good luck!

*Note:

Fluency in spoken English is mandatory.

Monday to Friday.

Please note that this is not a remote job.

OTS is an American software company. We have 16+ years of software development experience in the US and Canada and 11+ years of experience in managing an Onshore - Offshore model. We currently have branches in USA, Qatar, and Pakistan.

GSPANN is looking for Data Engineers with expertise in Amazon Web Services (AWS). Our culture fosters individual initiative and excellence. Join our global workforce to unleash a pool of opportunities.

Location: Gurugram / Hyderabad / Pune

Role Type: Full Time

Published On: 28 October 2024

Experience: 6+ Years

• Design, develop, and maintain a data platform that is accurate, secure, available, and fast.
• Integrate and maintain a variety of data sources: multiple databases, APIs, SaaS, files, logs, events, etc.
• Create standardized datasets to service a wide variety of use cases.
• Develop subject-matter expertise in tables, systems, and processes.
• Partner with product and engineering teams to ensure seamless integration of product changes with the data platform.
• Collaborate with diverse stakeholder teams, understand their challenges, and provide data solutions to meet their goals.
• Perform data quality checks on data sources and automate quality control processes.

• 5+ years of experience as a Data Engineer.
• Hands-on experience with star/snowflake schema design, data modeling, data pipelining, and MLOps.
• Experience with Data Warehouse technologies (e.g., Snowflake, AWS Redshift).
• Expertise in AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.).
• Experience in Fintech or Financial Services industry is an advantage.
• Proficiency in SQL and at least one major programming language like Python or Java.
• Experience with Data Analysis Tools such as Looker or Tableau.
• Good understanding of Pandas, Numpy, Scikit-learn, and Jupyter notebooks; familiarity with Git, GitHub, and Jira.
• Attention to detail to identify and resolve data quality issues proactively.
• Ability to simplify, automate tasks, and build reusable components using good judgment.
• End-to-end data platform support experience.
• Strong relationship-building skills with analysts, business, and engineering stakeholders.
• Ability to prioritize work, break down complex problems, and execute effectively.
• Familiarity with agile methodologies.
• Experience in the fintech industry.
• Eagerness to learn about the Private Equity/Venture Capital ecosystem and secondary markets.

• Mid-Senior level

• Full-time

• Information Technology

• Lead the design, development, and implementation of CI/CD pipelines to automate the build, test, and deployment processes.
  
• Architect and maintain cloud infrastructure (AWS) to ensure high availability, performance, and cost-effectiveness.
  
• Implement and manage infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
  
• Develop automation scripts and tools to streamline infrastructure management, monitoring, and deployment processes
  
• Manage containerization and orchestration solutions using Docker and Kubernetes.
  
• Collaborate with development, operations, and security teams to ensure the reliability, scalability, and security of applications and infrastructure.
  
• Implement and maintain monitoring, logging, and alerting systems to track performance and identify potential issues.
  
• Troubleshoot complex infrastructure issues and provide timely resolutions to maintain system uptime.
  
• Mentor and guide junior DevOps engineers, providing technical leadership and fostering a culture of continuous improvement
  
• Stay updated on industry trends, best practices, and emerging technologies to drive innovation within the DevOps team
  

• The DevOps Engineer is responsible for designing, implementing, and maintaining the infrastructure and processes that enable efficient and reliable software delivery.
  
• This role involves leading DevOps initiatives, mentoring junior engineers, and collaborating with cross-functional teams to drive automation, scalability, and security across the organization’s systems.
  
• The DevOps Engineer will play a key role in enhancing the development lifecycle, improving system reliability, and optimizing cloud infrastructure.
  
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
  
• Minimum 4+ years of experience in DevOps, system administration, or software development, with at least 2 years.
  
• Strong experience with cloud platforms (AWS) and cloud-native services
  
• Certifications in cloud platforms (e.g., AWS Certified DevOps Engineer, AWS Solution Architect Professional, Certified Kubernetes Administrator).
  
• Experience with hybrid cloud and multi-cloud environments.
  
• Knowledge of Agile and Scrum methodologies.
  
• Must have hands on experience on Kubernetes echos systems
  

• Proficiency in scripting languages such as Python, Bash, or PowerShell.
  
• Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
  
• Deep understanding of containerization (Docker) and orchestration (Kubernetes) technologies.
  
• Experience with infrastructure as code (IaC) and configuration management tools.
  
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK Stack, or Splunk.
  
• Strong leadership and mentoring abilities.
  
• Excellent problem-solving and analytical skills.
  
• Effective communication and collaboration skills.
  
• Ability to manage multiple tasks and prioritize in a fast-paced environment