DEVOPS Engineer

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

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

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

Job Summary:

Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.

Key Responsibilities:

• Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).
• Build and maintain scalable ETL pipelines using AWS Glue and PySpark.
• Work on data migration tasks in AWS environments.
• Monitor and improve database performance; automate key performance indicators and reports.
• Collaborate with cross-functional teams to support data integration and delivery requirements.
• Write shell scripts for automation and manage ETL jobs efficiently.

Required Skills:

• Strong experience with MySQL, complex SQL queries, and stored procedures.
• Hands-on experience with AWS Glue, PySpark, and ETL processes.
• Good understanding of AWS ecosystem and migration strategies.
• Proficiency in shell scripting.
• Strong communication and collaboration skills.

Nice to Have:

• Working knowledge of Python.
• Experience with AWS RDS.

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.

What we are looking for

• Must have strong knowledge of Kubernetes and Helm3
• Should have previous experience in Dockerizing the applications.
• Should be able to automate manual tasks using Shell or Python
• Should have good working knowledge on AWS and GCP clouds
• Should have previous experience working on Bitbucket, Github, or any other VCS.
• Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
• Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
• Should have a good understanding of ELK Stack.
• Exposure on Jira, confluence, and Sprints.

What you will do:

• Mentor junior Devops engineers and improve the team’s bar
• Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
• Oversight of all server environments, from Dev through Production.
• Responsible for the automation and configuration management
• Provides stable environments for quality delivery
• Assist with day-to-day issue management.
• Take lead in containerising microservices
• Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
• Enables the automation of CI/CD
• Implement dashboard to monitors various
• 1-3 years of experience in DevOps
• Experience in setting up front end best practices
• Working in high growth startups
• Ownership and Be Proactive.
• Mentorship & upskilling mindset.
• systems and applications
• 
  what you’ll get
  • Health Benefits
  • Innovation-driven culture
  • Smart and fun team to work with
  • Friends for life

DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!

Hello superstar,

I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......

I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.

I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;

• We choose the most appropriate technology
• We choose competent developers in those technologies
• The architecture and data modeling are clearly defined in a ‘blueprint’ plan
• A DevOps environment and processes are set up and the developers understand what is required
• Proper tests are carried out to ensure everything works as intended
• There are processes for testers to follow and competent testers are selected to follow them
• Accessibility, localization, and internationalization are planned ahead of time
• Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
• Documentation and code reviews, refactoring and other quality assurance processes are undertaken
• Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
• Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications

I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.

Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response.  I look forward to hearing from you.

Warm wishes DevOps Evangelist,