Lead DevOps Engineer

Role - IT Cloud Engineer/ Devops

• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

Job Title : Azure DevOps Engineer

Experience Required : 7+ Years

Work Mode : Remote / Hybrid

Location : Remote

Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)

Interview Mode : Face-to-Face or Virtual

Open Positions : 2

Job Description :

We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.

Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.

Key Responsibilities :

• Manage deployments for Dynamics 365 and proxy applications
• Run and maintain ADO pipelines and GitHub Actions
• Ensure proper status updates on ADO Boards and deployed work items
• Coordinate with QA teams to execute smoke testing post-deployment
• Communicate deployment progress across team channels effectively
• Monitor deployment cycles, approval gates, logs, and alerts
• Ensure smooth integration of infrastructure and DevOps practices

Mandatory Skills :

• Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
• Proven expertise in building pipelines using Azure DevOps and GitHub.
• Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
• Hands-on with Azure services like :
• App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
• vNet, Managed Identity, KeyVault, AppConfig, App Insights.
• Basic Azure Fundamentals Certification (AZ-900).
• Excellent communication skills in English.

Nice to Have :

• Experience in managing large enterprise-scale deployments.
• Familiarity with branching strategies and monitoring tools.
• Exposure to Approval Gates and Deployment Governance.

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)

NOTE- This is a contractual role for a period of 3-6 months.

Responsibilities:

● Set up and maintain CI/CD pipelines across services and environments

● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity

● Manage cloud environments (staging, production) with cost and reliability in mind

● Ensure secure access, role policies, and audit logging

● Contribute to internal tooling, CLI automation, and dev workflow improvements

Must-Haves:

● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering

● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)

● Proficiency in writing scripts (Bash, Python) for automation

● Good understanding of system monitoring, logs, and alerting

● Strong debugging skills, ownership mindset, and clear documentation habits

● Infra monitoring tools like Grafana dashboards

Looking out for GCP Devop's Engineer who can join Immediately or within 15 days

Job Summary & Responsibilities:

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

Experience working on billing and budgets for a GCP project - MUST

Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE

Experience in implementing the recommendations on GCP

Architect Certifications on GCP - MUST

Excellent communication skills (both verbal & written) - MUST

Excellent documentation skills on processes and steps and instructions- MUST

At least 2 years of experience on GCP.

Basic Qualifications:

● Bachelor’s/Master’s Degree in Engineering OR Equivalent.

● Extensive scripting or programming experience (Shell Script, Python).

● Extensive experience working with CI/CD (e.g. Jenkins).

● Extensive experience working with GCP, Azure, or Cloud Foundry.

● Experience working with databases (PostgreSQL, elastic search).

● Must have 2 years of minimum experience with GCP certification.

Benefits :

● Competitive salary.

● Work from anywhere.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Araali Networks is seeking a highly driven DevOps engineer to help streamline the release and deployment process, while assuring high quality.

Responsibilities:

Use best practices to streamline the release process

Use IaC methods to manage cloud infrastructure

Use test automation for release qualification

Skills and Qualifications:

Hands-on experience in managing release pipelines

Good understanding of public cloud infrastructure

Working knowledge of python test frameworks like pyunit, and automation tools like Selenium, Cucumber etc

Strong analytical and debugging skills

Bachelor’s degree in Computer Science

About Araali:

Araali Networks is a SaaS based cybersecurity startup that has raised a total of $10M from well known investors like A Capital, Firebolt Ventures and SV Angels, and and through a strategic investment by a publicly traded security company.

The company is disrupting the cloud firewall market by auto-creating nano-perimeters around every cloud app. The Araali solution enables developers to focus on features and improves the security posture through simplification and automation. 

The security controls are embedded at the time of DevOps. The precision of Araali controls also helps with security operations where alerts are precise and intelligently routed to the right app team, making it actionable in real-time.

Role:

• Developing a good understanding of the solutions which Company delivers, and how these link to Company’s overall strategy.
• Making suggestions towards shaping the strategy for a feature and engineering design.
• Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.  
• Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
• Acting as the Lead Engineer on a project. Helps ensure others follow Company processes, such as release and version control.
• An active member of the team, through useful contributions to projects and in team meetings.
• Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.

Requirements:

• Acquired strong proven professional programming experience.
• Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
• Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS 
• Proven track record and expert in one of the field - DevOps/Frontend/Backend
• Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
• Experience with at least one of the Database systems - RDBMS and NoSQL
• Ability to document requirements and specifications.
• A naturally inquisitive and problem-solving mindset.
• Strong experience in using AGILE or SCRUM techniques to build quality software.
• Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.

• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.

A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. Xoxoday works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.