
🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀
📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks

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We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.
The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.
Required Experience
- 6 – 10 Years of overall IT experience
- Strong experience in AIOps / MLOps / DevOps engineering
- Hands-on enterprise experience in Azure Cloud platform engineering
Key Responsibilities
AIOps / MLOps
- Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
- Ensure AI platform reliability, governance, security, and model performance optimization.
- Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
- Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
- Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
- Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
- Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
- Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts
Preferred Skills
- Python, MLflow, Model Registry, Experiment Tracking
- Azure DevOps & Azure Cloud
- Azure Machine Learning
- LLMOps / Generative AI operationalization
- AI model deployment and lifecycle management
- AI Gateway and Model Serving architectures
- Azure OpenAI & Azure AI Foundry
- MCP Server implementation and configuration
- CI/CD Automation & AKS
Soft Skills
- Strong communication and stakeholder management
- Good troubleshooting and problem-solving skills
- Ability to work independently and drive ownership
- Strong collaboration and documentation skills
Role & Responsibilities
Responsibilities:
- Infrastructure at Scale
- Design and evolve our cloud-native infrastructure (AWS/Kubernetes), ensuring availability, performance, and cost efficiency across regions and products.
- Platform & Developer Experience
- Build internal tools and platforms that help engineers deploy, monitor, and scale their services independently — with minimal friction and maximum confidence.
- CI/CD & Release Automation
- Architect secure, fast, and scalable CI/CD pipelines across multiple environments using tools like GitHub Actions, and Jenkins.
- Reliability Engineering
- Champion observability, SLOs, and incident response practices. Drive a culture of proactive performance monitoring and resilient system design.
- Security & Governance
- Integrate DevSecOps practices — from policy-as-code and automated audits to secure secrets management and vulnerability scanning.
- Mentorship & Thought Leadership
- Guide and mentor DevOps and SRE engineers. Partner closely with platform developers on infrastructure strategy, deployment patterns, and production readiness.
Ideal Candidate
- Strong Principal DevOps Engineer Profile
- Mandatory (Experience 1): Must have 10+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned) in B2B SAAS companies
- Mandatory (Experience 2): Must have worked in Principal / Staff / Lead DevOps / SRE / Platform Engineer role and demonstrated org-level ownership - setting infra roadmap, defining DevOps charter, or structuring the platform function not just domain-level technical ownership
- Mandatory (Experience 3): Must show evidence of strategic authorship, defined multi-year infra/platform strategy, drove company-wide architectural shifts as an initiator (not implementer), or directly interfaced with VP Eng / CTO / product leadership on infra direction
- Mandatory (Experience 4): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
- Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
- Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
- Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
- Mandatory (Leadership): Must demonstrate leadership experience in an individual contributor capacity having mentored senior engineers, driven cross-team technical alignment, or anchored org-wide initiatives without having moved into a people management or engineering manager role
- Mandatory (Company): Strong B2B SaaS product companies only
- Preferred (Education): B.Tech in Computer Science or related fields
Greetings!
Wissen Technology is hiring for Kubernetes Lead/Admin.
Required:
- 7+ years of relevant experience in Kubernetes
- Must have hands on experience on Implementation, CI/CD pipeline, EKS architecture, ArgoCD & Statefulset services.
- Good to have exposure on scripting languages
- Should be open to work from Chennai
- Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Bangalore
Website : www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: https://www.linkedin.com/company/wissen-technology
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.
Role & Responsiblities
- DevOps Engineer will be working with implementation and management of DevOps tools and technologies.
- Create and support advanced pipelines using Gitlab.
- Create and support advanced container and serverless environments.
- Deploy Cloud infrastructure using Terraform and cloud formation templates.
- Implement deployments to OpenShift Container Platform, Amazon ECS and EKS
- Troubleshoot containerized builds and deployments
- Implement processes and automations for migrating between OpenShift, AKS and EKS
- Implement CI/CD automations.
Required Skillsets
- 3-5 years of cloud-based architecture software engineering experience.
- Deep understanding of Kubernetes and its architecture.
- Mastery of cloud security engineering tools, techniques, and procedures.
- Experience with AWS services such as Amazon S3, EKS, ECS, DynamoDB, AWS Lambda, API Gateway, etc.
- Experience with designing and supporting infrastructure via Infrastructure-as-Code in AWS, via CDK, CloudFormation Templates, Terraform or other toolset.
- Experienced with tools like Jenkins, Github, Puppet or other similar toolset.
- Experienced with monitoring functions like cloudwatch, newrelic, graphana, splunk, etc,
- Excellence in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment.
- Proven track record in cloud computing systems and enterprise architecture and security
• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
- Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
- Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
- Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
- Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
- Design and implement DevOps processes for new projects following the department's objectives of automation.
- Collaborate on projects with development teams to provide recommendations, support and guidance.
- Work towards full automation, monitoring, virtualization and containerization.
- Create and maintain tools for deployment, monitoring and operations.
- Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
- Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
- Maintain 24/7 availability for responsible systems and be open to on-call rotation.










