
• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.

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- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
ROLES AND RESPONSIBILITIES:
- Plan, schedule, and manage all releases across product and customer projects.
- Define and maintain the release calendar, identifying dependencies and managing risks proactively.
- Partner with engineering, QA, DevOps, and product management to ensure release readiness.
- Create release documentation (notes, guides, videos) for both internal stakeholders and customers.
- Run a release review process with product leads before publishing.
- Publish releases and updates to the company website release section.
- Drive communication of release details to internal teams and customers in a clear, concise way.
- Manage post-release validation and rollback procedures when required.
- Continuously improve release management through automation, tooling, and process refinement.
IDEAL CANDIDATE:
- 3+ years of experience in Release Management, DevOps, or related roles.
- Strong knowledge of CI/CD pipelines, source control (Git), and build/deployment practices.
- Experience creating release documentation and customer-facing content (videos, notes, FAQs).
- Excellent communication and stakeholder management skills; able to translate technical changes into business impact.
- Familiarity with SaaS, iPaaS, or enterprise software environments is a strong plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive salary package.
- Opportunity to learn from and work with senior leadership & founders.
- Build solutions for large enterprises that move from concept to real-world impact.
- Exceptional career growth pathways in a highly innovative and rapidly scaling environment.
Wissen Technology is hiring for Devops engineer
Required:
-4 to 10 years of relevant experience in Devops
-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline
-Good to have exposure on Github or Gitlab
-Open to work from hashtag Chennai
-Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Chennai
Website : www.wissen.com
Wissen Thought leadership : https://lnkd.in/gvH6VBaU
LinkedIn: https://lnkd.in/gnK-vXjF
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
About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
What you’ll be doing at Novo:
● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues
Stacks you eat everyday ( For Devops Engineer )
● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.
The Key Responsibilities Include But Not Limited to:
Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.
Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.
Understand and explain the effect of product architecture decisions on systems.
Identify issues and/or opportunities for improvements that are common across multiple services/teams.
This role will require weekend deployments
Skills and Qualifications:
1. 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work.
2. Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).
3. Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.
4. Advance experience with core microservice technology (RESTFul development).
5. Working knowledge of using Advance AI/ML tools are pluses.
6. Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure
7. Bachelors or Master’s degree in Computer Science or equivalent related field experience
Key Behaviours / Attitudes:
Professional curiosity and a desire to a develop deep understanding of services and technologies.
Experience building & running systems to drive high availability, performance and operational improvements
Excellent written & oral communication skills; to ask pertinent questions, and to assess/aggregate/report the responses.
Ability to quickly grasp and analyze complex and rapidly changing systemsSoft skills
1. Self-motivated and self-managing.
2. Excellent communication / follow-up / time management skills.
3. Ability to fulfill role/duties independently within defined policies and procedures.
4. Ability to balance multi-task and multiple priorities while maintaining a high level of customer satisfaction is key.
5. Be able to work in an interrupt-driven environment.Work with Dori Ai world class technology to develop, implement, and support Dori's global infrastructure.
As a member of the IT organization, assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting, perform coding, and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development, maintenance, and system standards.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in a specialized area. BS or equivalent experience in programming on enterprise or department servers or systems.
-
Working with Ruby, Python, Perl, and Java
-
Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
-
Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
-
Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
-
Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
-
Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
-
Demonstrate awareness of DB management, server related work, Elasticsearch.
-
Selecting and deploying appropriate CI/CD tools
-
Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
-
Experience working on Linux based infrastructure
-
Awareness of critical concepts in DevOps and Agile principles
-
6-8 years of experience
At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time.
SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations.
Day to day responsibilities include:
- Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
- Work on Linux/Unix OS and Multi tech application patching
- Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
- Create and modify scripts or applications to perform tasks
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it.
- Managing release of the sprint.
- Educating team of the best practices.
- Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
- Implementing cost effective measure on cloud and minimizing existing costs.
Skills and prerequisites
- OOPS knowledge
- Problem solving nature
- Willing to do the R&D
- Works with the team and support their queries patiently
- Bringing new things on the table - staying updated
- Pushing solution above a problem.
- Willing to learn and experiment
- Techie at heart
- Git basics
- Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
- Basic Linux handling
- Docker and orchestration (Great to have)
- Scripting – python (preferably)/bash
- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution











