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AHK Solution

<div>
 
 
 Job Description &ndash; Senior DevOps Engineer (Azure Specialist)
 
 &nbsp;
 
 
 
 Position Title:
 
 &nbsp;Senior DevOps Engineer (Azure Specialist)&nbsp;
 
 
 
 Department:
 
 &nbsp;Technology / Infrastructure&nbsp;
 
 
 
 Reports To:
 
 &nbsp;Head of IT / CTO&nbsp;
 
 
 
 Location:
 
 &nbsp;Onsite &ndash; Lahore&nbsp;
 
 
 
 Job Type:
 
 &nbsp;Full-time&nbsp;
 
 
 &nbsp;
 
 
 
 
 
 
 Role Overview
 
 &nbsp;
 
 
 AHK Global Solutions is looking for a highly experienced&nbsp;
 
 Senior DevOps Engineer
 
 &nbsp;with proven&nbsp;expertise&nbsp;in&nbsp;
 
 Microsoft Azure
 
 . The ideal candidate will&nbsp;be responsible for&nbsp;designing, implementing, and managing Azure-based infrastructure, CI/CD pipelines, and containerized applications. This role requires deep hands-on experience in&nbsp;
 
 Azure services, Kubernetes (AKS), Infrastructure as Code (IaC), and cloud security practices
 
 .&nbsp;
 
 
 As a senior member of the team, you will also provide leadership, mentor junior engineers, and collaborate with cross-functional teams to ensure secure, scalable, and&nbsp;highly available&nbsp;systems.&nbsp;
 
 
 &nbsp;
 
 
 
 
 
 
 Key Responsibilities
 
 &nbsp;
 
 <ul>
 <li>
 
 Azure Cloud Infrastructure
 
 &nbsp;
 </li>
 <li>
 Architect, deploy, and manage solutions on Microsoft Azure (VMs, App Services, Storage, Networking, Azure SQL, Functions).&nbsp;
 </li>
 <li>
 Implement&nbsp;
 
 high availability, scalability, and disaster recovery
 
 &nbsp;strategies.&nbsp;
 </li>
 <li>
 Optimize&nbsp;cloud usage to reduce costs while&nbsp;maintaining&nbsp;performance.&nbsp;
 </li>
 <li>
 
 CI/CD &amp; Automation
 
 &nbsp;
 </li>
 <li>
 Design, build, and manage CI/CD pipelines using&nbsp;
 
 Azure DevOps Pipelines
 
 , GitHub Actions, or Jenkins.&nbsp;
 </li>
 <li>
 Automate infrastructure provisioning and application deployment with&nbsp;
 
 Terraform, ARM Templates, or Bicep
 
 .&nbsp;
 </li>
 <li>
 Integrate testing, monitoring, and security scans into deployment workflows.&nbsp;
 </li>
 <li>
 
 Containers &amp;&nbsp;Orchestration
 
 &nbsp;
 </li>
 <li>
 Manage containerized workloads with&nbsp;
 
 Docker and Azure Kubernetes Service (AKS)
 
 .&nbsp;
 </li>
 <li>
 Implement and manage Helm charts for application packaging.&nbsp;
 </li>
 <li>
 Configure monitoring and scaling for Kubernetes workloads.&nbsp;
 </li>
 <li>
 
 Monitoring &amp; Security
 
 &nbsp;
 </li>
 <li>
 Monitor infrastructure using&nbsp;
 
 Azure Monitor, Application Insights, and Log Analytics
 
 .&nbsp;
 </li>
 <li>
 Implement&nbsp;
 
 RBAC, Azure AD integration, Key Vault, and Zero Trust
 
 &nbsp;security principles.&nbsp;
 </li>
 <li>
 Handle incident response, vulnerability scanning, and compliance with&nbsp;
 
 SOC 2, ISO 27001
 
 .&nbsp;
 </li>
 <li>
 
 Leadership &amp;&nbsp;Collaboration
 
 &nbsp;
 </li>
 <li>
 Mentor and guide junior DevOps and Cloud Engineers.&nbsp;
 </li>
 <li>
 Work closely with developers, QA, and product managers to streamline releases.&nbsp;
 </li>
 <li>
 Contribute to long-term cloud strategy and DevOps best practices.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 &nbsp;
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, IT, or related field.&nbsp;
 </li>
 <li>
 
 5+ years of DevOps experience
 
 , with at least&nbsp;
 
 3+ years in Azure environments
 
 .&nbsp;
 </li>
 <li>
 Expertise&nbsp;in:&nbsp;
 </li>
 <li>
 
 Microsoft Azure services
 
 &nbsp;(App Services, AKS, Functions, Networking, IAM).&nbsp;
 </li>
 <li>
 
 CI/CD pipelines
 
 &nbsp;(Azure DevOps, GitHub Actions, Jenkins).&nbsp;
 </li>
 <li>
 
 Infrastructure as Code
 
 &nbsp;(Terraform, Bicep, ARM Templates, Ansible).&nbsp;
 </li>
 <li>
 
 Containerization &amp; Kubernetes (AKS)
 
 .&nbsp;
 </li>
 <li>
 Strong knowledge of&nbsp;
 
 networking (DNS, VPN, Load Balancing, Firewalls)
 
 .&nbsp;
 </li>
 <li>
 Proficiency&nbsp;in scripting languages (PowerShell, Bash, Python).&nbsp;
 </li>
 <li>
 Excellent troubleshooting and problem-solving skills.&nbsp;
 </li>
 <li>
 Strong communication and leadership abilities.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Preferred Certifications
 
 &nbsp;
 
 <ul>
 <li>
 Microsoft Certified:&nbsp;
 
 Azure DevOps Engineer Expert
 
 &nbsp;
 </li>
 <li>
 Microsoft Certified:&nbsp;
 
 Azure Solutions Architect Expert
 
 &nbsp;
 </li>
 <li>
 Certified Kubernetes Administrator (CKA) or CKAD&nbsp;
 </li>
 <li>
 HashiCorp&nbsp;Terraform Associate&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 Performance Indicators
 
 &nbsp;
 
 <ul>
 <li>
 Stability, scalability, and security of Azure infrastructure.&nbsp;
 </li>
 <li>
 Efficiency and reliability of CI/CD pipelines.&nbsp;
 </li>
 <li>
 Reduced downtime and optimized system performance.&nbsp;
 </li>
 <li>
 Effective collaboration across teams.&nbsp;
 </li>
 <li>
 Compliance with security and audit standards.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 What We Offer
 
 &nbsp;
 
 <ul>
 <li>
 Competitive salary package with performance-based bonuses.&nbsp;
 </li>
 <li>
 Professional growth through certifications and training support.&nbsp;
 </li>
 <li>
 Opportunity to work with&nbsp;
 
 cutting-edge&nbsp;Azure &amp; DevOps technologies
 
 .&nbsp;
 </li>
 <li>
 A collaborative, innovation-driven work culture.&nbsp;
 </li>
 <li>
 Exposure&nbsp;to&nbsp;enterprise-scale projects.&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
</div>

Senior DevOps Engineer(Azure Specialist)

Cloudelligent

<div>Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise 
Job Timings: 8am-5pm Central Time (US) 
Location: Lahore
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. 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 experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.
Responsibilities<ul><li>
Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.</li><li>
Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.</li><li>
Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.</li><li>
Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.</li><li>
Create and improve current operational practices and procedures.</li><li>
Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.</li><li>
Responsible for training and mentoring junior DevOps engineers and new team members.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s in software/computer engineering, computer science or related field.</li><li>
Effective communication skills (proficiency in English language).</li><li>
5+ years of professional experience in DevOps engineering.</li><li>
4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)</li><li>
Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)</li><li>
Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)</li><li>
Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li></ul>
Technical Experience/Expertise<ul><li>
Strong hands-on expertise with solution architecting environments in AWS cloud space.</li><li>
Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.</li><li>
Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).</li><li>
Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.</li><li>
Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.</li><li>
Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).</li><li>
Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.</li><li>
Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.</li></ul>
Good to have<ul><li>
AWS Certified Solutions Architect Associate/Professional and/or AWS Certified DevOps Professional</li><li>
Certified Kubernetes Administrator (CKA)</li></ul>
yeZyw2Zozu</div>

Sr. AWS DevOps Engineer- Kubernetes Expertise

Siemens

<div><div><div><div><div><div>Job ID
</div><div>488190
</div></div><div><div>Posted since
</div><div>17-Dec-2025
</div></div><div><div>Organization
</div><div>Digital Industries
</div></div><div><div>Field of work
</div><div>Research &amp; Development
</div></div><div><div>Company
</div><div>SIEMENS INDUSTRY SOFTWARE (PRIVATE) LIMITED
</div></div><div><div>Experience level
</div><div>Experienced Professional
</div></div><div><div>Job type
</div><div>Full-time
</div></div><div><div>Work mode
</div><div>Office/Site only
</div></div><div><div>Employment type
</div><div>Permanent
</div></div><div><div>Location(s)
</div><div><ul><li>Lahore - Punjab - Pakistan
</li></ul></div></div></div></div></div><div><div><div><div><div><div>Siemens Digital Industries Software is a global leader in Electronic Design Automation (EDA) software, hardware, and design solutions. We partner with the world&rsquo;s leading producers of semiconductor microelectronic circuits and systems, enabling them to design and produce cutting-edge electronic products faster and more efficiently.
Are you an experienced Cloud Engineer looking to make a real impact? Siemens is seeking a skilled professional to join our team and help design, build, and operate secure, scalable, and highly available cloud platforms. In this role, you will work closely with cross-functional teams, drive automation initiatives, and strengthen our CI/CD and cloud-native ecosystem. If you enjoy tackling complex technical challenges in an agile, fast-paced environment, we&rsquo;d love to hear from you.
<div>Responsibilities:</div><ul><li>
Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi
</li><li>Implement, optimize, and monitor CI/CD pipelines to support fast and reliable software delivery
</li><li>Ensure cloud infrastructure meets requirements for security, scalability, availability, and performance
</li><li>Automate infrastructure provisioning and deployments using DevOps best practices
</li><li>Develop and maintain monitoring, logging, and alerting solutions (e.g., CloudWatch, Prometheus, Grafana, ELK)
</li><li>Collaborate with development and QA teams to ensure stable and efficient cloud operations
</li><li>Actively participate in a cross-functional Agile/Scrum team
</li><li>Troubleshoot cloud, network, and infrastructure-related issues
</li><li>Contribute to cost optimization, resource management, and performance tuning</li></ul><div>
Experience:</div><ul><li>
Bachelor&rsquo;s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Master&rsquo;s degree in a relevant technical discipline is preferred.</li><li>
6&ndash;8+ years of experience in Cloud Engineering, DevOps, Infrastructure Automation, or related roles
</li><li>Hands-on experience with AWS, Azure, or GCP (multi-cloud experience is a strong plus)</li><li>
Strong understanding of cloud platforms (AWS, Azure, GCP) and cloud-native architectures
</li><li>Proficiency with Infrastructure as Code and automation tools
</li><li>Solid experience with containers and orchestration (Docker, Kubernetes)
</li><li>Hands-on experience with CI/CD pipelines (GitLab, GitHub Actions, Jenkins, Azure DevOps)
</li><li>Familiarity with microservices, APIs, and distributed systems
</li><li>Strong Linux administration skills
</li><li>Proficiency in scripting or programming languages such as Python, Bash, or JavaScript
</li><li>Knowledge of cloud networking concepts (VPC, DNS, Load Balancers, VPNs)
</li><li>Experience implementing cloud security best practices and compliance controls
</li><li>Strong analytical, debugging, and problem-solving skills
</li><li>Experience managing Kubernetes clusters (EKS, AKS, GKE) and working with serverless technologies (AWS Lambda, Azure Functions, Cloud Run) is a plus.
</li><li>Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Dynatrace), GitLab CI/CD, and cloud cost management / FinOps practices is a plus.
</li><li>Contributions to open-source projects and/or holding cloud certifications (AWS Solutions Architect, Azure Solutions Architect, Google Associate Cloud Engineer) are considered a plus.</li></ul>
We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!<div>
Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.</div></div></div></div></div></div></div></div>

Senior Technical Lead

Confiz

<div>We are seeking a Senior/Principal Azure Infrastructure Engineer to join our Cloud Consulting Practice. In this role, you will partner with diverse clients to design, implement, and optimize Azure environments that support their digital transformation goals. As a senior technical leader, you will combine deep expertise in Microsoft Azure with consulting acumen&mdash;translating business requirements into scalable, cost-effective, and secure cloud solutions.
You will play a visible role in client engagements, thought leadership, and mentoring consultants while ensuring delivery excellence and lasting client value.
Responsibilities
<ul><li>Lead client engagements to assess current infrastructures, define cloud strategies, and architect Azure solutions tailored to business objectives.</li>
<li>Design and implement highly available, secure, and compliant Azure environments across IaaS, PaaS, and hybrid scenarios.</li>
<li>Build automation frameworks for deployment and management using Terraform, Bicep, and Azure DevOps pipelines.</li>
<li>Deliver infrastructure modernization projects, including migrations, governance frameworks, and landing zones.</li>
<li>Engage directly with client executives, architects, and technical teams to communicate solutions and recommendations.</li>
<li>Develop cloud adoption roadmaps and assist clients in operationalizing Azure environments with strong governance and cost management.</li>
<li>Act as a trusted advisor on Azure best practices, security, and architecture patterns.</li>
<li>Collaborate with cross-functional teams (cloud security, data, DevOps) to deliver complete cloud transformation initiatives.</li>
<li>Mentor consultants and engineers to build internal capability and strengthen client delivery teams.</li>
<li>Contribute to pre-sales, proposals, and thought leadership activities such as whitepapers, webinars, and client workshops.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience.</li>
<li>8+ years in IT infrastructure, including 5+ years focused on Azure architecture and deployment.</li>
<li>Proven experience implementing Azure solutions across multiple clients or environments.</li>
<li>Strong consulting background or experience in a professional services firm.</li>
<li>Expertise in Azure networking, governance, identity (EntraID), security, and cost management.</li>
<li>Proficiency in infrastructure automation and configuration tools (Terraform, Bicep, PowerShell, GitHub Actions).</li>
<li>Excellent stakeholder management and communication skills with both technical and non-technical audiences.</li>
</ul>
Preferred:
<ul><li>Microsoft Certified: Azure Solutions Architect Expert or Cloud Security Engineer Associate.</li>
<li>Experience with cloud migration projects, landing zone deployments, and hybrid integration.</li>
<li>Familiarity with containerization technologies (AKS, Docker) and DevOps practices.</li>
<li>Background in designing solutions for regulated industries (finance, healthcare, public sector).</li>
<li>Demonstrated thought leadership (e.g., presenting at conferences or publishing cloud content).</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Azure Infrastructure Engineer

PEARL

Department: Technical
 Work Arrangement: Remote
 Job Type: Independent Contractor, Full Time
 Work Schedule: US Time Zone (candidate expected to be flexible with the client's preference)
 Locations: Philippines, LATAM, and other remote regions with excellent English communication skills
 
About Pearl Talent: 
Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They're looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we've hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.
 Hear why we exist, what we believe in, and who we're building for: WATCH HERE
 
Why Work with Us?: 
At Pearl, we're not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers.
 
Role Overview: 
The Backend Engineer designs, builds, and scales server-side systems, data infrastructure, and integration pipelines that power modern applications across diverse industries including PropTech, AI-powered platforms, SaaS products, and data-intensive startups. This is often a foundational hire where you'll have true ownership in shaping backend architecture, working directly with technical leadership and cross-functional teams to build systems from the ground up. You'll architect scalable cloud infrastructure, implement robust ETL/ELT pipelines ingesting large data streams, manage search and AI integrations, and ensure reliability, performance, and security across all backend systems. This role requires engineers who combine deep technical expertise with systems thinking, building infrastructure that supports real-time product discovery, generative AI experiences, and high-volume data processing.
 
Your Impact: 
Your backend architecture will form the foundation enabling applications to scale from initial launch to millions of users without performance degradation. By building robust data pipelines and integration systems, you'll unlock value from diverse data sources, transforming raw data into actionable intelligence. Your infrastructure decisions will directly impact system reliability, cost efficiency, and development velocity across engineering teams. Through thoughtful API design and integration architecture, you'll enable seamless connections between systems, third-party services, and AI capabilities. Your work on search infrastructure and vector databases will power intelligent product discovery and AI-driven experiences. By establishing engineering best practices, monitoring systems, and security protocols, you'll create operational excellence that prevents outages and protects sensitive data.
 
Core Responsibilities: 
Backend Architecture & Cloud Infrastructure (30%)
 <ul>
<li>Design and implement scalable backend architecture supporting high-traffic applications</li>
<li>Set up and manage cloud infrastructure including VPCs, IAM, security groups, and networking (AWS preferred, GCP/Azure)</li>
<li>Implement Infrastructure as Code (IaC) using Terraform, Pulumi, or CloudFormation</li>
<li>Define backend architecture standards, API design patterns, and system integration strategies</li>
<li>Build cost-optimized cloud strategies balancing performance and infrastructure spend</li>
<li>Design microservices architecture or monolithic systems based on business requirements</li>
<li>Implement containerization strategies using Docker and orchestration with Kubernetes</li>
<li>Establish monitoring, logging, and observability frameworks for system health tracking</li>
<li>Ensure high availability, disaster recovery, and backup strategies</li>
</ul>
Server-Side Development & API Design (25%)
 <ul>
<li>Develop scalable server-side applications using Node.js, TypeScript, Python, or Golang</li>
<li>Build robust RESTful APIs and GraphQL endpoints with proper error handling and documentation</li>
<li>Implement authentication, authorization, and security protocols (OAuth, JWT, API keys)</li>
<li>Optimize backend performance for speed, efficiency, and resource utilization</li>
<li>Design database schemas and queries for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases</li>
<li>Build real-time features using WebSockets, Server-Sent Events, or streaming technologies</li>
<li>Implement caching strategies using Redis or Memcached for performance optimization</li>
<li>Write clean, maintainable, well-tested backend code following best practices</li>
</ul>
Data Integration & ETL/ELT Pipelines (25%)
 <ul>
<li>Build and scale ETL/ELT pipelines ingesting large data streams from diverse sources (REST, XML, EDI APIs)</li>
<li>Design resilient, idempotent data loaders that evolve with external data source changes</li>
<li>Deploy and manage orchestration tools (Airflow, Dagster, Prefect) for workflow automation</li>
<li>Build and maintain dbt pipelines with automated testing, CI/CD workflows, and version control</li>
<li>Implement data transformation logic ensuring data quality, validation, and error handling</li>
<li>Integrate streaming data platforms (Kafka, Kinesis, RabbitMQ) for real-time data processing</li>
<li>Design schema-flexible pipelines handling varying data structures gracefully</li>
<li>Manage data warehousing solutions (Snowflake, BigQuery, Redshift) for analytics and reporting</li>
</ul>
Search, AI & Advanced Integrations (15%)
 <ul>
<li>Manage search infrastructure including Elasticsearch or OpenSearch clusters for product discovery</li>
<li>Implement vector databases (Pinecone, Weaviate, Qdrant) supporting AI/ML features</li>
<li>Support AI integrations through embeddings, RAG (Retrieval-Augmented Generation), and LLM frameworks</li>
<li>Integrate with AI frameworks (LangChain, LlamaIndex) for intelligent application features</li>
<li>Build feature stores and model ops infrastructure supporting ML model deployment</li>
<li>Implement recommendation systems and semantic search capabilities</li>
<li>Optimize search relevance, ranking algorithms, and query performance</li>
<li>Support generative AI experiences with proper prompt engineering and context management</li>
</ul>
DevOps, Testing & System Reliability (5%)
 <ul>
<li>Implement CI/CD pipelines automating testing, building, and deployment processes</li>
<li>Establish automated testing frameworks (unit, integration, end-to-end) ensuring code quality</li>
<li>Monitor system performance using DataDog, Grafana, Prometheus, or CloudWatch</li>
<li>Implement security best practices including data encryption, secure API design, and vulnerability scanning</li>
<li>Optimize database performance through query optimization, indexing, and connection pooling</li>
<li>Manage system scaling strategies (horizontal, vertical) based on load patterns</li>
<li>Conduct code reviews and maintain engineering documentation</li>
<li>Ensure data quality, observability, and operational excellence</li>
</ul>
Requirements: 
Must-Haves (Required): 
<ul>
<li>Experience: 1-3+ years designing and building scalable backend systems and server-side applications</li>
<li>Programming Languages: Strong proficiency in Node.js, TypeScript, Python, or Golang</li>
<li>Cloud Platforms: Hands-on experience with AWS (preferred), GCP, or Azure including infrastructure setup</li>
<li>Database Expertise: Experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases</li>
<li>API Development: Proven experience building RESTful APIs with proper architecture and documentation</li>
<li>ETL/ELT Pipelines: Experience building data integration pipelines and handling diverse data sources</li>
<li>Infrastructure as Code: Familiarity with Terraform, Pulumi, CloudFormation, or similar IaC tools</li>
<li>System Design: Strong understanding of distributed systems, scalability patterns, and architecture principles</li>
<li>Problem-Solving: Excellent debugging, troubleshooting, and analytical skills</li>
<li>Code Quality: Commitment to clean code, testing, and engineering best practices</li>
<li>Communication: Strong written and verbal English with ability to explain technical concepts clearly</li>
<li>Collaboration: Experience working cross-functionally with product, frontend, and data teams</li>
</ul>
Nice-to-Haves (Preferred): 
<ul>
<li>5+ years of backend engineering experience including ETL/ELT pipeline development</li>
<li>Experience building systems from scratch as foundational engineering hire</li>
<li>Hands-on experience with orchestration tools (Airflow, Dagster, Prefect)</li>
<li>Knowledge of streaming platforms (Kafka, Kinesis, RabbitMQ)</li>
<li>Experience with data warehousing (Snowflake, BigQuery, Redshift)</li>
<li>Proficiency with search engines (Elasticsearch, OpenSearch, Algolia)</li>
<li>Experience with vector databases (Pinecone, Weaviate, Qdrant) and embeddings</li>
<li>Knowledge of ML/AI fundamentals including feature stores and model ops</li>
<li>Familiarity with AI frameworks (LangChain, LlamaIndex) for RAG implementations</li>
<li>Experience with dbt (data build tool) for data transformation workflows</li>
<li>Understanding of PropTech, real estate technology, or property management systems</li>
<li>Experience with Next.js, Express.js, NestJS, or similar backend frameworks</li>
<li>Knowledge of GraphQL API design and implementation</li>
<li>Familiarity with message queues and event-driven architectures</li>
<li>Experience with containerization (Docker) and orchestration (Kubernetes)</li>
</ul>
Tools Proficiency: 
Must-Haves (Required): 
<ul>
<li>Programming: Node.js, TypeScript, Python (strong proficiency in at least two)</li>
<li>Cloud Platforms: AWS (EC2, S3, Lambda, RDS, VPC), GCP, or Azure</li>
<li>Databases: PostgreSQL, MySQL, MongoDB, or equivalent SQL/NoSQL systems</li>
<li>Version Control: Git, GitHub, GitLab for code management</li>
<li>API Development: RESTful API design, Postman or similar testing tools</li>
</ul>
Nice-to-Haves (Preferred): 
<ul>
<li>Infrastructure as Code: Terraform, Pulumi, CloudFormation</li>
<li>Orchestration: Apache Airflow, Dagster, Prefect for workflow management</li>
<li>Streaming: Apache Kafka, AWS Kinesis, RabbitMQ</li>
<li>Data Warehousing: Snowflake, Google BigQuery, AWS Redshift</li>
<li>Search Engines: Elasticsearch, OpenSearch, Algolia</li>
<li>Vector Databases: Pinecone, Weaviate, Qdrant, Milvus</li>
<li>AI Frameworks: LangChain, LlamaIndex for LLM applications</li>
<li>Data Transformation: dbt (data build tool) for analytics engineering</li>
<li>Caching: Redis, Memcached for performance optimization</li>
<li>Monitoring: DataDog, Grafana, Prometheus, CloudWatch</li>
<li>CI/CD: GitHub Actions, CircleCI, Jenkins, GitLab CI</li>
<li>Containerization: Docker, Kubernetes, ECS/EKS</li>
<li>Backend Frameworks: Express.js, NestJS, FastAPI, Next.js API routes</li>
<li>Testing: Jest, Pytest, Mocha for automated testing</li>
<li>Message Queues: SQS, SNS, RabbitMQ for async processing</li>
</ul>
Benefits: 
<ul>
<li>Competitive Salary: Based on experience and skills</li>
<li>Remote Work: Fully remote — work from anywhere</li>
<li>Generous PTO: In accordance with company policy</li>
<li>Direct Mentorship: Access to global industry leaders</li>
<li>Learning & Development: Continuous growth resources</li>
<li>Global Networking: Work with international teams</li>
<li>Health Coverage (Philippines only): HMO after 3 months (full-time)</li>
</ul>
Our Recruitment Process: 
<ul>
<li>Application</li>
<li>Skills Assessment</li>
<li>Initial Screening</li>
<li>Top-grading Interview</li>
<li>Client Matching</li>
<li>Job Offer</li>
<li>Onboarding</li>
</ul>
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If you're a driven professional ready to work with exceptional founders building the next generation of world-class companies, we'd love to meet you. Apply now to unlock opportunities where your growth, impact, and success are our top priorities.

Backend Engineer - EG004

NETSOL Technologies Inc.

<div>
 
 
 Candidate should possess:
 
 
 <ul>
 <li>
 Deep expertise in
 
 bare-metal, virtualization, and cloud infrastructure
 
 (IaaS/PaaS), including architecture, capacity planning, and performance optimization
 </li>
 <li>
 Extensive hands-on and design-level experience with
 
 Microsoft Windows Server (2012&ndash;2025)
 
 and
 
 enterprise Linux distributions
 
 </li>
 <li>
 Strong command of
 
 core identity and infrastructure services
 
 , including
 
 Active Directory, DNS, DHCP
 
 , and their cloud equivalents
 </li>
 <li>
 Advanced understanding of
 
 network architecture and security
 
 , including
 
 routing, switching, firewalls, proxies/reverse proxies, load balancing, high availability, and clustering
 
 across on-prem and cloud environments
 </li>
 <li>
 Proven experience deploying, hosting, and tuning
 
 web and API-based applications
 
 using
 
 IIS, Apache, Nginx, and Kestrel
 
 in both VM and containerized environments
 </li>
 <li>
 Strong operational and architectural experience with
 
 database platforms
 
 such as
 
 Oracle, Microsoft SQL Server, MySQL, and PostgreSQL
 
 , including high availability, backup, and performance considerations
 </li>
 <li>
 Hands-on experience with
 
 cloud platforms
 
 (e.g., AWS, Azure, GCP), including networking, storage, security, and cost optimization
 </li>
 <li>
 Practical experience with
 
 containers and orchestration platforms
 
 (Docker, Kubernetes) and modern application delivery patterns
 </li>
 <li>
 Strong experience with
 
 DevOps practices
 
 , including
 
 CI/CD pipelines
 
 , infrastructure automation, and configuration management (e.g., Terraform, Ansible, ARM/Bicep, CloudFormation)
 </li>
 <li>
 Expertise in
 
 monitoring, logging, and observability
 
 using
 
 NMS/APM tools
 
 , with the ability to define SLIs, SLOs, and operational dashboards
 </li>
 <li>
 Solid understanding of
 
 enterprise storage technologies
 
 , including cloud-native and software-defined storage
 </li>
 <li>
 Strong working knowledge of
 
 LAN, WLAN, WAN
 
 , and hybrid connectivity models (VPN, site-to-site, private endpoints)
 </li>
 <li>
 Good command of
 
 security technologies
 
 , including IAM, secrets management, hardening, and compliance controls
 </li>
 <li>
 Strong understanding of
 
 client&ndash;server and distributed system architectures
 
 </li>
 <li>
 Proven ability to
 
 diagnose and resolve complex infrastructure, application, and performance issues
 
 across
 
 HP and Dell enterprise server platforms
 
 , cloud, and containerized environments
 </li>
 <li>
 Ability to
 
 lead by example
 
 , work independently, and make sound technical decisions under pressure
 </li>
 <li>
 
 Highly analytical, research-driven, and solution-oriented
 
 mindset with a focus on reliability and automation
 </li>
 <li>
 
 Excellent verbal and written communication skills
 
 , with the ability to collaborate effectively with development, security, and business stakeholders
 </li>
 </ul>
 
 
</div>

Senior Product Operations Manager

Algo

<div>Job Title: Sr. Cloud Engineer (Azure) 
Experience: 3&ndash;4 Years 
Location: Lahore-Onsite 
Type: Full-time 
Job Description:

We are looking for an experienced Azure Cloud Engineer who can independently manage complex Azure environments and work closely with development and data engineering teams. 


Key Responsibilities
<ul>
<li>Implement and manage cross-tenant Azure platform.</li>
<li>Design and manage complex networking Scenarios (Vnet, DNS, WAF etc).</li>
<li>Manage Azure Key Vault, secrets, and SSL certificate lifecycle.</li>
<li>Administer and support Synapse, Azure Data Factory, Azure Databricks pipelines and integrations.</li>
<li>Work with Azure Function Apps and Logic Apps in serverless architectures.</li>
<li>Support application deployment, performance &amp; optimization.</li>
<li>Collaborate closely with development and data engineering teams to understand and support.</li></ul></div>

Sr. Cloud Engineer (Azure)

Explore 513+ Cloud infrastructure engineer in Lahore this January. Find roles across top companies and apply now to boost your career.