IT Support

Role & Responsibilities

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

Key Responsibilities-

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

Ideal Candidate

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in **Python or Bash**
• Understanding of monitoring, incident management, and cloud security basics

Nice to Have-

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

Job Title : ServiceNow Analyst - Configuration Management Database (CMDB) & Discovery

Experience : 5+ Years

Location : Gurgaon (Onsite)

Type : Full-Time

Work Schedule : 5 Days Working

Job Summary :

We are looking for an experienced ServiceNow Analyst - to manage and optimize the Configuration Management Database (CMDB), Discovery, and Service Mapping processes.

The ideal candidate will have strong expertise in ServiceNow Discovery, infrastructure mapping, and backend integration.

Mandatory Skills : ServiceNow CMDB, ServiceNow Discovery & Service Mapping, ITSM processes, API integration, Infrastructure understanding (on-prem/cloud), Data governance, ITIL fundamentals, Troubleshooting, and Configuration management.

Key Responsibilities :

• Manage and maintain CMDB integrity and accuracy.
• Administer ServiceNow Discovery and Service Mapping tool.
• Design, deploy, and troubleshoot infrastructure mapping (on-prem/cloud).
• Implement data governance, audit, and reconciliation procedures
• Collaborate with cross-functional IT teams to resolve mapping/discovery issues.
• Generate reports, dashboards, and documentation for configuration management.

Required Skills :

• 5+ Years of experience in ServiceNow.
• 3+ Years in Discovery & Service Mapping.
• Strong understanding of CMDB, APIs, infrastructure components.
• ITIL Foundation certification preferred.
• Excellent communication and problem-solving skills.
• Experience working in agile and collaborative environments.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team.

In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts.

This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment.

Requirements

Preferred Technical Qualifications

• 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable).
• Familiarity with container technologies such as Docker and Kubernetes.
• Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Programming experience in Python, Java, or another language used in DevOps workflows.
• Understanding of cloud platforms such as AWS, Azure, or GCP
• Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills

Collaboration Skills:

• Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals.
• Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions.

Effective Communication:

• Ability to communicate technical concepts clearly to team members and stakeholders.
• Desire to improve documentation and presentation skills to share ideas effectively.

Problem-Solving Mindset:

• Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments.
• Interest in learning how to diagnose and resolve issues in containerized and
•  distributed systems.

Adaptability and Continuous Learning:

• Strong desire to learn emerging DevOps tools and practices in a dynamic environment.
• Commitment to staying updated with trends in cloud computing, DevOps, and

Team-Oriented Approach:

• Enthusiastic about contributing to a collaborative team environment and supporting
• overall project goals.
• Open to feedback and actively sharing knowledge to help the team grow.

Certifications (Optional but Preferred)

• Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation
• certification
• Any beginner-level certifications in DevOps or cloud services are a plus. 
• Any AWS Certification

Why Join Aivar?

At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries.

About Diversity and Inclusion

We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics.

5 to 10 years of software development & coding experience

Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have. 

Experience troubleshooting AWS policy or permissions related errors during resource deployments \

Programming experience; preferred Python, PowerShell, bash development experience \

Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)

Have configuration management experience (Chef, Puppet, or Ansible)

Worked in a Development Shop or have SDLC hands on Experience

Familiar with how to write software, test plans, automate and release using modern development methods

AWS certified at an appropriate level

As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.

• Development of automation scripts and pipelines for deployment and monitoring of new production environments.

• Development of automation scripts for upgrades, hotfixes deployments and maintenance.

• Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.

• Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.

• Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.

• Write Knowledge articles to document known issues and best practices.

• Conduct regression tests to validate solutions or workarounds.

• Work in a globally distributed team.

What achievements should you have so far?

• Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.

• Experience with containerization, deployment, and operations.

• Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).

• Good experience with Linux systems and Shell scripting.

• Basic cloud experience, preferably oriented on MS Azure.

• Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).

• Good Networking skills and experience.

• Having Terraform or CloudFormation knowledge will be considered a plus.

• Ability to analyze a task from a system perspective.

• Excellent problem-solving and troubleshooting skills.

• Excellent written and verbal communication skills; mastery in English and local language.

• Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.

Do Your Thng 

https://doyourthng.com/ 

DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

Role: DevOps 

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Job Description:

We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.

Required Experience

• Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
• Experience working with Continuous Integration and Continuous Deployment Pipeline
• Exposure to managing LAMP stack-based applications
• Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
• Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
• Ability to take ownership on the carried-out work
• Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
• Experience deploying Docker based applications
• Experience with AWS services.
• Excellent verbal and written communication skills

Desired Experience

• Exposure to AWS, google cloud and Azure Cloud
• Experience in Jenkins, Ansible, Terraform
• Build Monitoring tools and respond to alarms triggered in production environment
• Willingness to quickly become a member of the team and to do what it takes to get the job done
• Ability to work well in a fast-paced environment and listen and learn from stakeholders
• Demonstrate a strong work ethic and incorporate company values in your everyday work.

Experienced with Azure DevOps, CI/CD and Jenkins.

Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.

Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.

Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.

Demonstrable experience with the following technologies:

Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.

Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.

Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.

Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.

Ability and desire to quickly pick up new technologies, languages, and tools

Excellent communication skills and Good team player.

Passionate about code quality and best practices is an absolute must

Must show evidence of your passion for technology and continuous learning

• 3+ years experience leading a team of DevOps engineers
• 8+ years experience managing DevOps for large engineering teams developing cloud-native software
• Strong in networking concepts
• In-depth knowledge of AWS and cloud architectures/services.
• Experience within the container and container orchestration space (Docker, Kubernetes)
• Passion for CI/CD pipeline using tools such as Jenkins etc.
• Familiarity with config management tools like Ansible Terraform etc
• Proven record of measuring and improving DevOps metrics
• Familiarity with observability tools and experience setting them up
• Passion for building tools and productizing services that empower development teams.
• Excellent knowledge of Linux command-line tools and ability to write bash scripts.
• Strong in Unix / Linux administration and management,

KEY ROLES/RESPONSIBILITIES:

• Own and manage the entire cloud infrastructure
• Create the entire CI/CD pipeline to build and release
• Explore new technologies and tools and recommend those that best fit the team and organization
• Own and manage the site reliability
• Strong decision-making skills and metric-driven approach
• Mentor and coach other team members