134 Aws Data jobs in Pakistan

We are looking for a skilled Mid-level AWS Cloud Engineer to join our Infrastructure team. This role is pivotal in managing and optimizing our AWS cloud environment, ensuring adherence to security and compliance standards, particularly PCI DSS. The successful candidate will bring hands-on expertise in cloud EKS, networking, security, automation, and container orchestration, with a strong understanding of microservice architecture. Working closely with various teams, you will contribute to the design, deployment, and maintenance of a secure and efficient cloud infrastructure that meets the demands of a modern banking environment.

Core Responsibilities:

1. Design, implement, and manage AWS network infrastructure, including VPCs, subnets, routing, security groups, and NACLs.
2. Integrate and manage firewall solutions (Fortinet/Palo Alto) within cloud and hybrid environments.
3. Configure and maintain DNS, load balancing, API Gateway, and CloudFront services to support application delivery.
4. Implement compliance controls related to PCI DSS and other regulatory requirements based on established policies.
5. Develop and maintain CI/CD pipelines using GitHub Actions and manage infrastructure as code through tools such as Terraform and Pulumi.
6. Collaborate with security, compliance, and product teams to ensure thorough documentation and adherence to banking regulations.
7. Provide support during business hours and participate in on-call rotation as required.
8. Monitor cloud environments for performance, availability, security, and cost efficiency, utilising monitoring tools such as Grafana.
9. Support containerised application deployments using Kubernetes and EKS, aligning with microservice architecture principles.
10. Manage identity and access management policies to enforce secure access across AWS resources.

• Bachelor's degree in Information Technology, Computer Science, or a related field.
• Experience with Kubernetes/EKS and microservice-based application deployment is highly desirable.
• A minimum of 3 years of experience in a similar role, preferably within the financial sector.
• Proven experience with AWS cloud services, focusing on operational excellence, networking and security.
• Familiarity with firewall technologies and cloud security integrations.
• Hands-on experience in building and maintaining CI/CD pipelines and infrastructure as code.
• Knowledge of PCI DSS compliance requirements and their implementation in cloud environments.
  

Preferred Certifications:

• AWS Solutions Architect (Associate or Professional)
• AWS Security Specialty
• Kubernetes certifications (CKA, CKAD)
• Networking/Security certifications (CCNA, Fortinet NSE)

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Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business. Our expertise, innovation and technology unlock potential – from taking theme park fans on magical rides, conserving natural resources, protecting rainforests, and saving lives. We automate, modernize, optimize, and accelerate. Our people are trusted transformers, with deep engineering expertise, focused on a sustainable future for all.

Imagine the sheer breadth of talent it takes to inspire the future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things are equally important to us.

The team

We’re a leader in cutting-edge innovation, the transformative power of cloud technology, and converged and hyperconverged solutions. Our mission is to empower clients to securely store, manage, and modernize their digital core, unlocking valuable insights and driving data-driven value.

This strong, diverse, and collaborative group of technology professionals collaborate with teams to support our customers as they store, enrich, activate, and monetise their data, bringing value to every line of their business.

The role: AWS Cloud Architect

Job Summary: We seek an experienced AWS Cloud Architect to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable and reliable AWS-based cloud infrastructure solutions. The AWS Cloud Architect will collaborate with cross-functional teams to understand business requirements and translate them into secure, scalable, and efficient cloud architecture.

Responsibilities

• Design, deploy, and maintain AWS cloud infrastructure solutions that are secure, scalable, and highly available.
• Collaborate with various teams to gather requirements and architect cloud-based solutions that meet business needs.
• Implement best practices for cost optimization, security, performance, and reliability in AWS environments.
• Develop automation scripts and tools for provisioning, configuration, and monitoring of cloud resources.
• Perform regular system maintenance, backups, and disaster recovery operations.
• Evaluate new AWS services and provide recommendations on their applicability to the organization's needs.
• Document architecture designs, procedures, and policies related to AWS infrastructure.
• Troubleshoot and resolve issues related to the AWS infrastructure as needed.
  
  

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience as a Cloud Architect or similar role with a focus on AWS.
• Strong understanding of cloud computing principles and best practices.
• In-depth knowledge of AWS services such as EC2, S3, RDS, VPC, Lambda, IAM, etc.
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or AWS CDK.
• Proficiency in scripting languages (Python, Bash, PowerShell, etc.) for automation tasks.
• Familiarity with CI/CD pipelines and DevOps practices.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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• Act as the first point of contact for customers seeking technical assistance via phone, email, or chat across international time zones
• Deliver first-line support for complex data science applications, covering API integrations, model outputs, workflow issues, and system configurations.
• Organize and lead diagnostic sessions to gather logs, environment details, and reproducible error conditions.
• Use internal Knowledge Base (KBDB) to provide resolutions for known issues and support recurrence management.
• Create, manage, and update support tickets with detailed documentation of symptoms, diagnostics performed, and resolution steps.
• Maintain SLA compliance and perform structured escalation of unresolved, critical, or complex cases to L2 and L3 engineering teams.
• Coordinate across shifts and global teams to ensure continuity of support and closure of issues across time zones.
• Troubleshoot SQL-based issues, configurations, and data inconsistencies.
• Support onboarding and implementation activities, including product configuration, API certification, and environment validation.
• Document new or updated troubleshooting procedures and contribute to continuous improvement of support documentation.
• Monitor trends in issues to proactively raise patterns and feedback to product/engineering teams.
  
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field.
• 1–3 years of experience in L1 technical support or application support, preferably for SaaS, AI/ML, or data-heavy platforms.
• Strong SQL knowledge for database queries and data validation.
• Understanding of REST APIs, JSON payloads, and web service interaction patterns.
• Experience using ticketing and project management tools (e.g., JIRA, OTRS, Zendesk).
• Familiarity with log analysis, basic command-line tools, and remote troubleshooting procedures.
• Excellent verbal and written communication skills with strong follow-up and customer handling experience across geographies.
• Strong problem-solving skills with a customer-first mindset.
• Ability to work in a 24/7 rotational shift environment.
• Exposure to cloud environments (AWS, GCP, Azure) and scripting (e.g., Python, Bash) is a plus.
• Preferred (Nice to Have) Understanding of ML model outputs, pipeline errors, or data processing workflows.
• Familiarity with tools like Jupyter, Airflow, Datadog, or other monitoring/logging platforms.
• Ability to contribute to knowledge base development and continual improvement of support playbooks.
  
  

Position Overview

We are seeking a proactive and technically competent individual to join our team as an L1 Application Support Engineer. This role is critical in delivering first-line support for complex, AI/ML-enabled data science platforms serving clients across the US and EU markets. The candidate will operate in a shift-based support model and act as a key liaison between customers and engineering teams, ensuring timely resolution, detailed follow-ups, and structured escalation for technical issues.

You will manage diagnostic sessions, analyze log files, troubleshoot application and configuration-level issues, and ensure effective communication and documentation. Success in this role requires a strong technical mindset, customer empathy, and a disciplined approach to problem management using internal tools and knowledge bases.

Key Responsibilities

Act as the first point of contact for customers seeking technical assistance via phone, email, or chat across international time zones

Deliver first-line support for complex data science applications, covering API integrations, model outputs, workflow issues, and system configurations.

Organize and lead diagnostic sessions to gather logs, environment details, and reproducible error conditions.

Use internal Knowledge Base (KBDB) to provide resolutions for known issues and support recurrence management.

Create, manage, and update support tickets with detailed documentation of symptoms, diagnostics performed, and resolution steps.

Maintain SLA compliance and perform structured escalation of unresolved, critical, or complex cases to L2 and L3 engineering teams.

Coordinate across shifts and global teams to ensure continuity of support and closure of issues across time zones.

Troubleshoot SQL-based issues, configurations, and data inconsistencies.

Support onboarding and implementation activities, including product configuration, API certification, and environment validation.

Document new or updated troubleshooting procedures and contribute to continuous improvement of support documentation.

Monitor trends in issues to proactively raise patterns and feedback to product/engineering teams.

Required Skills & Qualifications

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

1–3 years of experience in L1 technical support or application support, preferably for SaaS, AI/ML, or data-heavy platforms.

Strong SQL knowledge for database queries and data validation.

Understanding of REST APIs, JSON payloads, and web service interaction patterns.

Experience using ticketing and project management tools (e.g., JIRA, OTRS, Zendesk).

Familiarity with log analysis, basic command-line tools, and remote troubleshooting procedures.

Excellent verbal and written communication skills with strong follow-up and customer handling experience across geographies.

Strong problem-solving skills with a customer-first mindset.

Ability to work in a 24/7 rotational shift environment.

Exposure to cloud environments (AWS, GCP, Azure) and scripting (e.g., Python, Bash) is a plus.

Preferred (Nice to Have) Understanding of ML model outputs, pipeline errors, or data processing workflows.

Familiarity with tools like Jupyter, Airflow, Datadog, or other monitoring/logging platforms.

Ability to contribute to knowledge base development and continual improvement of support playbooks.

What We Have For You

Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Annual performance-tied increments & performance recognition awards and a great lean and agile work culture!

Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!

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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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