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senior devops engineer

Mashreq

<div>
 As a Automation Architect DevOps you will be responsible for designing, automating, implementing and maintaining the infrastructure platform and tools necessary for the development, testing/deployment of software solutions. You will work closely with development and infrastructure teams to automate processes, streamline the build and release pipelines, and ensure the scalability and reliability of applications.
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Senior DevOps Engineer.MGN Pak - TECH - Digital Squad-Devops.Retail Banking Group-PAKCOE

Hiring Talent

VCONN (Pvt) Ltd is a managed IT Solution / Design / Services consultancy firm selectively serving businesses to help enhance their IT experience with secure and scalable IT architecture, automated systems, and efficient workflow. Our services include web registration and hosting, Database Management, IT support, Application Hosting, Cloud Computing and Subject Matter Expert (SMEs) to customers across multiple industries.Designation: DevOps EngineerReporting To: Senior Manager/CISOResponsibilities:<ul><li>Serve as a key contributor responsible for managing infrastructure, deployment pipelines, automation, and overall DevOps processes.</li><li>Collaborate closely with cross-functional teams (developers, QA, product, and infrastructure teams) to ensure efficient, reliable, and scalable software delivery.</li><li>Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible to provision, manage, and optimize cloud infrastructure.</li><li>Design, implement, and maintain CI/CD pipelines using platforms like Jenkins, GitLab CI/CD, GitHub Actions, or Travis CI to automate build, testing, and deployment workflows.</li><li>Manage and automate server configurations using tools such as Puppet, Chef, or Ansible, ensuring consistency and reliability across all environments.</li><li>Work with containerization technologies such as Docker, and manage containerized applications using orchestration platforms like Kubernetes.</li><li>Implement and maintain monitoring and logging solutions (Prometheus, Grafana, ELK/EFK Stack, CloudWatch, etc.) to proactively identify, diagnose, and resolve performance or stability issues.</li><li>Troubleshoot and resolve production incidents quickly to minimize downtime and ensure high availability.</li><li>Maintain well-structured and up-to-date documentation for infrastructure, processes, configurations, and deployment practices.</li><li>Continuously evaluate and adopt new tools, technologies, and best practices to drive improvements in automation, performance, and scalability.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>Basic understanding of Linux/Unix operating systems.</li><li>Familiarity with Git and CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).</li><li>Understanding of Docker and basic containerization concepts.</li><li>Basic scripting skills in Bash, Python, or Shell.</li><li>Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Strong problem-solving skills and the ability to work collaboratively within a team.</li><li>Eagerness to learn and grow in the DevOps domain, with a proactive mindset toward adopting new tools and practices.</li></ul>Application Question(s):<ul><li>Do you have hands-on experience with Linux servers?</li><li>Have you deployed any application?</li><li>What does CI in CI/CD actually ensure?</li><li>A Docker container exits immediately after starting. What is the MOST likely reason?</li></ul>Work Location: In person

DevOps Engineer

Techxudo

<div>
 
 
 Company Description
 
 
 
 Techxudo offers expert services in web and mobile applications, smart contracts, e-commerce, SEO, graphic designing, business development, and digital marketing. With years of experience and a 99% client satisfaction rate, we provide tailored solutions, rapid delivery, and ongoing support. Beyond our services, we empower businesses through free learning courses, webinars, and entrepreneurial opportunities. Join our community and experience unparalleled digital excellence that drives success.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a contract, on-site role for a DevOps Trainer, located in the Karachi Division. As a DevOps Trainer, you will be responsible for delivering technical training sessions, creating learning materials, mentoring participants, and explaining key concepts in DevOps and related technologies. Your role will involve hands-on demonstrations, evaluation of trainees' progress, and staying updated on industry best practices to ensure the quality and relevance of instruction provided.
 
 
 
 
 
 
 Location:
 
 
 
 
 ICMA
 
 NIPA, Karachi.
 
 
 
 
 
 
 Timings:
 
 
 
 6:00 PM - 9:00 PM
 
 (MON - FRI)
 
 
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
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 Strong understanding of Information Technology principles and infrastructure
 </li>
 <li>
 Experience in Teaching, Training, and Lecturing
 </li>
 <li>
 Knowledge in Software Development processes and practices
 </li>
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 Excellent communication and presentation skills for effective instruction delivery
 </li>
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 Ability to create and adapt course materials to meet diverse learning styles
 </li>
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 Passionate about empowering others through education and training
 </li>
 <li>
 Familiarity with DevOps tools, practices, and cloud platforms is a plus
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field is advantageous
 </li>
 </ul>
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DevOps Trainer

CodeNinja

<div>About CodeNinja
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
About the Role
The APM &amp; Observability Engineer sets up monitoring hooks (AppDynamics, HP BSM), correlates application metrics with load profiles, identifies bottlenecks at application, database, and infrastructure layers, and provides actionable tuning recommendations. This role ensures performance visibility across every layer of the Client's technology stack.
Key Responsibilities<ul><li>Configure and maintain monitoring hooks using AppDynamics, HP BSM, and/or Grafana for performance test observability.</li><li>Correlate application-level metrics (response times, error rates, thread pools) with infrastructure metrics (CPU, memory, DB connections) during load tests.</li><li>Identify bottlenecks at application, database, middleware, and infrastructure layers during performance cycles.</li><li>Provide specific, actionable tuning recommendations based on observed metrics and thresholds.</li><li>Set up centralised performance metrics dashboards for real-time visibility during test execution.</li><li>Support post-deployment smoke performance validation during low-traffic production windows.</li><li>Document monitoring setup and facilitate knowledge transfer for the Client's operations team.</li></ul> 
Requirements<ul><li> 
6+ years of APM/observability engineering experience.</li><li>Hands-on proficiency with AppDynamics, Dynatrace, or equivalent enterprise APM platforms.</li><li>Experience with Grafana, Prometheus, or ELK stack for dashboard creation and alerting.</li><li>Strong understanding of application architectures: microservices, API gateways, middleware, database layers.</li><li>Experience correlating distributed system metrics under load conditions.</li><li>Knowledge of HP BSM monitoring for infrastructure-level observability.</li><li>Preferred Certifications: AppDynamics Certified Professional, Dynatrace Associate, Grafana Certified.</li></ul>
Why Join CodeNinja?<ul><li>Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.</li><li>Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.</li><li>Collaborate with world-class QA professionals across onsite and offsite delivery models.</li><li>Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies.</li><li>Competitive compensation with performance-linked incentives and career progression pathways.</li><li>A culture that values technical excellence, ownership, and innovation without bureaucracy.</li></ul>
Disclaimer
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</div>

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
7A69crohYg</div>

Senior Data Engineer (AWS)

Al Rafay Consulting

Job Overview:We are looking for a Senior Python Developer to assist in building and maintaining backend services, APIs, and automation scripts for enterprise applications. The role involves collaborating with senior developers and AI/ML engineers to implement features, integrate tools, and support solutions such as chatbots and data automation.Key Responsibilities<ul><li>Develop Python-based backend services for AI-powered enterprise applications.</li><li>Build and maintain APIs, automation scripts, and data pipelines.</li><li>Collaborate with AI/ML engineers to integrate NLP, OCR, and LLMs into business tools.</li><li>Work on intelligent solutions like chatbot frameworks, document automation, and enterprise assistants.</li><li>Integrate with Microsoft technologies (SharePoint Online, Power Automate, Azure Cognitive Services).</li><li>Use Azure DevOps for CI/CD and project lifecycle tracking.</li><li>Participate in sprints, peer code reviews, and collaborative design sessions.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li>6&ndash;8 years of experience with Python (Flask/Django or similar frameworks).</li><li>Solid understanding of REST APIs, microservices, and backend architecture.</li><li>Experience with AI tools: NLP, OCR, or integration with language models (OpenAI, Azure OpenAI).</li><li>Familiarity with Microsoft ecosystem (Azure Functions, SharePoint, Power Platform).</li><li>Good understanding of databases (SQL/NoSQL), data extraction, and automation.</li><li>Version control systems (e.g., Git) and CI/CD tools (Azure DevOps) experience.</li><li>Strong debugging, analytical, and communication skills.</li></ul>Preferred Qualifications<ul><li>Experience with Microsoft Cognitive Services, Azure OpenAI, or Power Automate flows.</li><li>Familiarity with chatbot frameworks (e.g., Rasa, Bot Framework).</li><li>Understanding of information security and data privacy in enterprise environments.</li><li>Exposure to enterprise-scale automation or document processing projects.</li></ul>Experience:<ul><li>IT: 7 years (Required)</li></ul>Work Location: In person

Senior Python Developer

Jeeny

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a leading ride-hailing platform that strives to revolutionize daily commuting and transportation. Our app connects users with their preferred modes of transportation, making mobility accessible, convenient, and affordable for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Since our inception, we have grown exponentially and currently operate in Saudi Arabia and Jordan.
 
 
 At Jeeny, we value innovation, teamwork, and a passion for delivering exceptional user experiences. Join us in our mission to transform the transportation landscape.
 
 
 
 About the Role:
 
 
 
 We are looking for an
 
 ML Systems Engineer
 
 to build the services, interfaces, and automation required to reliably operate ML-powered features in production. This role is focused on transforming data science models into complete production systems, including APIs, feature pipelines, monitoring dashboards, and operational tooling.
 
 
 The ideal candidate will serve as the bridge between
 
 Data Science, QA, and DevOps
 
 , ensuring machine learning models are not only accurate, but also deployable, observable, scalable, and maintainable.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain production-ready systems for deploying machine learning models.
 </li>
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 Develop and manage APIs and backend services that power ML-driven features.
 </li>
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 Build and maintain feature pipelines to support model training and inference workflows.
 </li>
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 Create monitoring dashboards and observability tools to track model performance and system health.
 </li>
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 Automate ML deployment workflows and operational processes to improve reliability and efficiency.
 </li>
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 Collaborate closely with Data Science, QA, and DevOps teams to ensure smooth model integration and deployment.
 </li>
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 Improve system scalability, performance, and maintainability of ML-powered applications.
 </li>
 <li>
 Troubleshoot and resolve issues related to production ML systems and deployment pipelines.
 </li>
 <li>
 Implement best practices for versioning, testing, monitoring, and maintaining ML services
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in backend engineering, ML systems, or MLOps.
 </li>
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 Strong experience with Python and backend frameworks
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 Experience building and maintaining APIs and microservices.
 </li>
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 Familiarity with ML deployment workflows and model serving frameworks.
 </li>
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 Experience with data pipelines and workflow orchestration tools.
 </li>
 <li>
 Strong understanding of cloud platforms
 </li>
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 Experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Knowledge of monitoring and observability tools for production systems.
 </li>
 <li>
 Strong problem-solving skills and ability to work cross-functionally
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
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 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
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ML Systems Engineer

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