Devops Engineer at US Based Product MNC · Chennai · 7 - 13 years · Posted 13 Mar 2023

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

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Job Title : DevOps Engineer
Experience : 3+ Years
Location : Indiranagar, Bengaluru (Work From Office – 5 Days)
Employment Type : Full-Time
Work Timings : 11:00 AM to 7:00 PM IST
Notice Period : Immediate Joiners Preferred
Role Overview :
We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.
The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.
This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.
Key Responsibilities :
- Design, deploy, and manage scalable infrastructure using Kubernetes.
- Build and maintain CI/CD pipelines for efficient and automated deployments.
- Manage and optimize cloud environments (preferably GCP).
- Implement Infrastructure as Code using Helm/Terraform.
- Monitor system performance and ensure high availability and reliability.
- Handle bug fixes, system improvements, and performance optimization.
- Collaborate with engineering teams to design scalable microservices architecture.
- Implement logging, monitoring, and alerting solutions.
- Ensure security best practices including IAM, secrets management, and network policies.
Mandatory Skills :
- Strong hands-on experience with Kubernetes.
- Expertise in Helm Charts.
- Experience with Google Cloud Platform (GCP).
- Hands-on experience with ArgoCD or similar CI/CD tools.
- Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
- Experience in database hosting and scaling.
Nice to Have :
- Exposure to other cloud platforms (AWS/Azure).
- Experience with modern DevOps and automation tools.
- Ability to quickly learn and adapt to new technologies.
Team & Work Scope :
- No dedicated DevOps team currently – high ownership role.
- Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
- Opportunity to shape DevOps practices and infrastructure from scratch.
Preferred Candidate Profile :
- 3+ years of relevant DevOps experience.
- Strong problem-solving and debugging skills.
- Experience working in fast-paced startup environments.
- Understanding of scalability, security, and performance optimization.
- Good communication and collaboration skills.
Hiring Process :
- Profile Screening
- GT Assessment
- Technical Interview – Round 1
- Technical Interview – Round 2
- Final Round (if required with US team)
Azure DevOps Engineer
Experience
5-10 years of hands-on experience in Platform Engineering, Cloud Engineering, SRE, DevOps or Infrastructure Engineering roles.
Priority 1 – Must Have (Hands-On)
Azure Cloud Platform
· Strong hands-on experience supporting Azure workloads in production environments.
· Experience designing, building and supporting Azure infrastructure using Terraform.
· Good understanding of Azure networking and connectivity patterns.
· Experience supporting:
Ø AKS
Ø Application Gateway
Ø Azure Traffic Manager
Ø Key Vault
Ø Azure Monitor / Log Analytics
Ø Managed Identities
Ø Service Principals
Ø Private Endpoints
Ø VNets, NSGs and Route Tables
Kubernetes / AKS
- Strong practical experience operating and supporting AKS.
- Ability to troubleshoot:
Ø Pod failures
Ø Ingress issues
Ø DNS issues
Ø SSL/TLS certificate issues
Ø Network routing issues
Ø Performance and availability incidents
- Experience with:
Ø Helm
Ø Ingress Controllers
Ø Cluster upgrades
Ø Scaling
Ø Monitoring
Terraform
· Strong hands-on experience writing and maintaining Terraform.
· Experience creating reusable modules.
· Experience managing:
· State files
· Remote backends
· Environment promotion
· Infrastructure lifecycle
Linux & Scripting
· Strong Linux administration fundamentals.
· Practical experience troubleshooting production issues.
· Bash scripting mandatory.
· Python desirable.
Application Support / Troubleshooting
Must be comfortable supporting business applications end-to-end.
Priority 2 – Highly Desirable
GitHub & DevOps Platform
Hands-on experience with:
· GitHub Enterprise
· GitHub Actions
· Shared workflows
· Reusable pipelines
· Repository onboarding
· Branch protections
· GitHub security features
Experience supporting:
· Runner issues
· Disk space issues
· Network connectivity issues
· Dependency failures
· Self-hosted runners lifecycle management
API Management
Pipeline failures
GitOps
Experience with:
· ArgoCD
· GitOps deployment models
· Kubernetes deployment automation
Monitoring & Observability
Experience working with:
· Prometheus
· Grafana
· Azure Monitor
· Log Analytics
· Application Insights
Applicants must read the JD and understand the JD throughly
Job Title: Database & DevOps Engineer
Location: Chennai, Tamil Nadu (On-site/Hybrid)
Experience: 2+ years -
Job Summary
We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.
Key Responsibilities
Database Management
• Install, configure, monitor, and maintain SQL and NoSQL databases.
• Manage database backup, recovery, replication, and disaster recovery.
• Optimise performance through indexing, query tuning, and monitoring.
• Ensure database security, integrity, and availability.
• Troubleshoot database issues and provide timely resolutions.
DevOps, Infrastructure & AI Operations
• Design, implement, and maintain CI/CD pipelines.
• Automate infrastructure provisioning using Infrastructure as Code tools.
• Deploy and manage applications across cloud and on-premises environments.
• Configure and maintain containerised applications using Docker and Kubernetes.
• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.
• Configure and manage GPU-enabled infrastructure for AI workloads.
• Support model serving, vector databases, and AI application APIs.
• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.
• Maintain Linux servers and automate routine operational tasks.
• Implement secure management of credentials, secrets, model endpoints, and data access.
• Collaborate with development and AI teams to streamline deployment and release processes.
Mandatory Skills
• 2+ years of hands-on experience in Database Administration and DevOps.
• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.
• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.
• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.
• Experience with Docker and Kubernetes.
• Experience with AWS, Azure, or GCP.
• Knowledge of Terraform and Ansible.
• Strong Linux administration and shell-scripting skills.
• Experience with Prometheus, Grafana, ELK Stack, or Nagios.
• Working knowledge of networking, security, SSL/TLS, and load balancing.
• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.
• Experience deploying Python-based AI/ML services and APIs.
• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.
• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.
• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.
• Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.
Technical Stack
• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases
• Cloud: AWS, Azure, GCP.
• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps
• Containers and IaC: Docker, Kubernetes, Terraform, Ansible
• Monitoring: Prometheus, Grafana, ELK Stack, Nagios
• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA
• Operating Systems: Linux—Ubuntu, CentOS, Red Hat
Soft Skills
• Excellent communication and collaboration skills.
• Strong ownership and accountability.
• Ability to work effectively in a fast-paced Agile environment.
• Proactive approach to troubleshooting and continuous improvement.
• Ability to manage multiple priorities and deliver on time.
Review Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
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
We’re hiring a DevOps Engineer who’s passionate about automation, reliability, and scaling infrastructure for modern cloud-native applications. If you thrive in dynamic environments and love problem-solving at scale, we’d love to meet you!
🔧 Key Responsibilities
- Manage and support production systems with on-call rotations
- Deploy and maintain scalable infrastructure on AWS (ECS, EC2, EKS, S3, RDS, ELB, IAM, Lambda)
- Build infrastructure using Terraform
- Manage and monitor Kubernetes clusters and Docker containers
- Automate deployment and configuration using Ansible or similar tools
- Ensure systems reliability using robust monitoring and alerting tools
- Work with Linux OS, and network protocols like HTTP, DNS, SMTP, LDAP
- Manage services like Nginx, HAProxy, MySQL, SSH
- Collaborate with development, QA, and product teams
- Document systems and infrastructure best practices
✅ Required Skills
- 4+ years in DevOps, SRE, or Systems Administration
- Hands-on experience with AWS, Kubernetes, Docker
- Proficient with Terraform, Ansible, and Linux systems
- Strong understanding of networking, system logs, and debugging
- Excellent communication and documentation skills
Title: Azure Cloud Developer/Engineer
Exp: 5+ yrs
Location: T-Hub, Hyderabad
Work from office (5 days/week)
Interview rounds: 2-3
Excellent comm skills
Immediate Joiner
Job Description
Position Overview:
We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.
Key Responsibilities:
- Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
- Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
- Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
- Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
- Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
- Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
- Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
- Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
- Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
- Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
- Work with Azure Key Vault for secrets and certificate management.
- Explore multi-cloud strategies, integrating AWS services where necessary.
Key Skills Required:
- Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
- Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
- Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
- Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
- Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
- CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
- Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
- Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
- Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
- Strong understanding of containerization, orchestration, and microservices architecture.
Certifications (Preferred):
Required:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure DevOps Engineer Expert
Nice to Have (AWS Experience):
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified DevOps Engineer – Professional
Nice to Have Skills:
- Experience with multi-cloud environments (Azure & AWS).
- Familiarity with container security tools (Aqua Security, Prisma Cloud).
- Experience with GitOps methodologies using tools like ArgoCD or Flux.
- Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).
Benefits
Why Join Us?
- Competitive salary with performance-based incentives.
- Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
- Access to training programs, workshops, and learning resources.
- Comprehensive health insurance coverage for employees and their families.
- Wellness programs and mental health support.
- Hands-on experience with large-scale, innovative cloud solutions.
- Opportunities to work with modern tools and technologies.
- Inclusive, supportive, and team-oriented environment.
- Opportunities to collaborate with global clients and cross-functional teams.
- Regular performance reviews with rewards for outstanding contributions.
- Employee appreciation events and programs.
Senior Software Engineer I - DevOps Engineer
Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Senior Software Engineer within the Release Engineering team at Sumo Logic, your task will be to develop and sustain automated tooling for the release processes of all our services. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services. Your role is integral to our overarching strategy of enhancing software delivery and progressing Sumo Logic’s internal Platform-as-a-Service.
What you will do:
• Own the Delivery pipeline and release automation framework for all Sumo services
• Educate and collaborate with teams during both design and development phases to ensure best practices.
• Mentor a team of Engineers (Junior to Senior) and improve software development processes.
• Evaluate, test, and provide technology and design recommendations to executives.
• Write detailed design documents and documentation on system design and implementation.
• Ensuring the engineering teams are set up to deliver quality software quickly and reliably.
• Enhance and maintain infrastructure and tooling for development, testing and debugging
What you already have
• B.S. or M.S. Computer Sciences or related discipline
• Ability to influence: Understand people’s values and motivations and influence them towards making good architectural choices.
• Collaborative working style: You can work with other engineers to come up with good decisions.
• Bias towards action: You need to make things happen. It is essential you don’t become an inhibitor of progress, but an enabler.
• Flexibility: You are willing to learn and change. Admit past approaches might not be the right ones now.
Technical skills:
- 4+ years of experience in the design, development, and use of release automation tooling, DevOps, CI/CD, etc.
- 2+ years of experience in software development in Java/Scala/Golang or similar
- 3+ years of experience on software delivery technologies like jenkins including experience writing and developing CI/CD pipelines and knowledge of build tools like make/gradle/npm etc.
- Experience with cloud technologies, such as AWS/Azure/GCP
- Experience with Infrastructure-as-Code and tools such as Terraform
- Experience with scripting languages such as Groovy, Python, Bash etc.
- Knowledge of monitoring tools such as Prometheus/Grafana or similar tools
- Understanding of GitOps and ArgoCD concepts/workflows
- Understanding of security and compliance aspects of DevSecOps
About Us
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Candidate must have a minimum of 8+ years of IT experience
IST time zone.
candidates should have hands-on experience in
DevOps (GitLab, Artifactory, SonarQube, AquaSec, Terraform & Docker / K8")
Thanks & Regards,
Anitha. K
TAG Specialist
4 – 6 years of application development with design, development, implementation, and
support experience, including the following:
o C#
o JavaScript
o HTML
o SQL
o Messaging/RabbitMQ
o Asynchronous communication patterns
Experience with Visual Studio and Git
A working understanding of build and release automation, preferably with Azure DevOps
Excellent understanding of object-oriented concepts and .Net framework
Experience in creating reusable libraries in C#
Ability to troubleshoot and isolate/solve complex bugs, connectivity issues, or OS related
issues
Ability to write complex SQL queries and stored procedures in Oracle and/or MS SQL
Proven ability to use design patterns to accomplish scalable architecture
Understanding of event-driven architecture
Experience with message brokers such as RabbitMQ
Experience in the development of REST APIs
Understanding of basic steps of an Agile SDLC
Excellent communication (both written and verbal) and interpersonal skills
Demonstrated accountability and ownership of assigned tasks
Demonstrated leadership and ability to work as a leader on large and complex tasks













