Cloud DevOps Engineer

6+ years of experience with deployment and management of Kubernetes clusters in production environment as DevOps engineer.

• Expertise in Kubernetes fundamentals like nodes, pods, services, deployments etc., and their interactions with the underlying infrastructure.

• Hands-on experience with containerization technologies such as Docker or RKT to package applications for use in a distributed system managed by Kubernetes.

• Knowledge of software development cycle including coding best practices such as CI/CD pipelines and version control systems for managing code changes within a team environment.

• Must have Deep understanding on different aspects related to Cloud Computing and operations processes needed when setting up workloads on top these platforms

• Experience with Agile software development and knowledge of best practices for agile Scrum team.

• Proficient with GIT version control

• Experience working with Linux and cloud compute platforms.

• Excellent problem-solving skills and ability to troubleshoot complex issues in distributed systems.

• Excellent communication & interpersonal skills, effective problem-solving skills and logical thinking ability and strong commitment to professional and client service excellence.

Please Apply - https://zrec.in/7EYKe?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Senior DevOps Engineer / SRE

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:      4-6 years

Education:           B.Tech/MCA

Notice Period:     Immediately

​

About Us

At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.

Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.

We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.

Role Summary

We are seeking a Senior DevOps Engineer (SRE) to manage and optimize large-scale, mission-critical production systems. The ideal candidate will have a strong problem-solving mindset, extensive experience in troubleshooting, and expertise in scaling, automating, and enhancing system reliability. This role requires hands-on proficiency in tools like Kubernetes, Terraform, CI/CD, and cloud platforms (AWS, GCP, Azure), along with scripting skills in Python or Go. The candidate will drive observability and monitoring initiatives using tools like Prometheus, Grafana, and APM solutions (Datadog, New Relic, OpenTelemetry).

Strong communication, incident management skills, and a collaborative approach are essential. Experience in team leadership and multi-client engagement is a plus.

Ideal Candidate Profile

• Solid 4-6 years of experience as an SRE and DevOps with a proven track record of handling large-scale production environments
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong Hands-on experience with managing Large Scale Production Systems
• Strong Production Troubleshooting Skills and handling high-pressure situations.
• Strong Experience with Databases (PostgreSQL, MongoDB, ElasticSearch, Kafka)
• Worked on making production systems more Scalable, Highly Available and Fault-tolerant
• Hands-on experience with ELK or other logging and observability tools
• Hands-on experience with Prometheus, Grafana & Alertmanager and on-call processes like Pagerduty
• Problem-Solving Mindset
• Strong with skills - K8s, Terraform, Helm, ArgoCD, AWS/GCP/Azure etc
• Good with Python/Go Scripting Automation
• Strong with fundamentals like DNS, Networking, Linux
• Experience with APM tools like - Newrelic, Datadog, OpenTelemetry
• Good experience with Incident Response, Incident Management, Writing detailed RCAs
• Experience with Applications best practices in making apps more reliable and fault-tolerant
• Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
• Able to manage multiple clients and take ownership of client issues.
• Experience with Git and coding best practices

Good to have

• Team-leading Experience
• Multiple Client Handling
• Requirements gathering from clients
• Good Communication

Key Responsibilities

1. Design and Development:
2. Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
3. Collaborate with product and engineering teams to translate business requirements into technical specifications.
4. Write clean, maintainable, and efficient code, following best practices and coding standards.
5. Cloud Infrastructure:
6. Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
7. Implement and manage CI/CD pipelines for automated deployment and testing.
8. Ensure the security, reliability, and performance of cloud infrastructure.
9. Technical Leadership:
10. Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
11. Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
12. Lead technical discussions and contribute to architectural decisions.
13. Problem Solving and Troubleshooting:
14. Identify, diagnose, and resolve complex software and infrastructure issues.
15. Perform root cause analysis for production incidents and implement preventative measures.
16. Continuous Improvement:
17. Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
18. Contribute to the continuous improvement of development processes, tools, and methodologies.
19. Drive innovation by experimenting with new technologies and solutions to enhance the platform.
20. Collaboration:
21. Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
22. Communicate effectively with stakeholders, including technical and non-technical team members.
23. Client Interaction & Management: 
24. Will serve as a direct point of contact for multiple clients.
25. Able to handle the unique technical needs and challenges of two or more clients concurrently. 
26. Involve both direct interaction with clients and internal team coordination.
27. Production Systems Management: 
28. Must have extensive experience in managing, monitoring, and debugging production environments. 
29. Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.

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

● 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.

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

JD for Devops

Experience: 5+ years

👉 TL; DR: We at Sarva Labs Inc., are looking for Site Reliability Engineers with experience to join our team. As a Protocol Developer, you will handle assets in data centers across Asia, Europe and Americas for the World’s First Context-Aware Peer-to-Peer Network enabling Web4.0. We are looking for that person who will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams and hustle through the Main Net launch.

About Us 🚀

Imagine if each user had their own chain with each transaction being settled by a dynamic group of nodes who come together and settle that interaction with near immediate finality without a volatile gas cost. That’s MOI for you, Anon.

Visit https://www.sarva.ai/ to know more about who we are as a company

Visit https://www.moi.technology/ to know more about the technology and team!

Visit https://www.moi-id.life/ , https://www.moibit.io/ , https://www.moiverse.io/ to know more

Read our developer documentation at https://apidocs.moinet.io/

What you'll do 🛠

• You will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams to ensure an appropriate degree of automation for component assembly, deployment, and rollback strategies in medium to large scale environments
• Monitor components to proactively prevent system component failure, and enable the engineering team on system characteristics that require improvement
• You will ensure the uninterrupted operation of components through proactive resource management and activities such as security/OS/Storage/application upgrades

You'd fit in 💯 if you...

• Familiar with any of these providers: AWS, GCP, DO, Azure, RedSwitches, Contabo, Redswitches, Hetzner, Server4you, Velia, Psychz, Tier and so on
• Experience in virtualizing bare metals using Openstack / VMWare / Similar is a PLUS
• Seasoned in building and managing VMs, Containers and clusters across the continents
• Confident in making best use of Docker, Kubernetes with stateful set deployment, autoscaling, rolling update, UI dashboard, replications, persistent volume, ingress
• Must have experience deploying in multi-cloud environments
• Working knowledge on automation tools such as Terraform, Travis, Packer, Chef, etc.
• Working knowledge on Scalability in a distributed and decentralised environment
• Familiar with Apache, Rancher, Nginx, SELinux/Ubuntu 18.04 LTS/CentOS 7 and RHEL
• Monitoring tools like PM2, Grafana and so on
• Hands-on with ELK stack/similar for log analytics

🌱 Join Us

• Flexible work timings
• We’ll set you up with your workspace. Work out of our Villa which has a lake view!
• Competitive salary/stipend
• Generous equity options (for full-time employees)

• Works independently without any supervision
• Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
• Experience in deploying highly complex, distributed transaction processing systems.
• Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
• As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.

Required Experience, Skills, and Qualifications

• 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
• At least one End to End CI/CD Implementation experience
• Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
• Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
• Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
• Experience architecting interaction with services and application deployments on AWS
• Experience with Groovy and writing Jenkinsfile
• Experience with repository management, code scanning/linting, secure scanning tools
• Experience with deployments and application configuration on Kubernetes
• Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
• Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
• Experience with message buses (e.g. Apache Kafka, NATS)
• Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)