DevOps Engineer

Role & Responsibilities

• Develop and deliver automation software to build and improve platform functionality
• Ensure reliability, availability, and manageability of applications and cloud platforms
• Champion adoption of Infrastructure as Code (IaC) practices
• Design and build self-service, self-healing, monitoring, and alerting platforms
• Automate development and testing workflows through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers)
• Build and manage container hosting platforms using Kubernetes

Requirements

• Strong experience deploying and maintaining GCP cloud infrastructure
• Well-versed in service-oriented and cloud-based architecture design patterns
• Knowledge of cloud services including compute, storage, networking, messaging, and automation tools (e.g., CloudFormation/Terraform equivalents)
• Experience with relational and NoSQL databases (Postgres, Cassandra)
• Hands-on experience with automation/configuration tools (Puppet, Chef, Ansible, Terraform)

Additional Skills

• Strong Linux system administration and troubleshooting skills
• Programming/scripting exposure (Bash, Python, Core Java, or Scala)
• CI/CD pipeline experience (Jenkins, Git, Maven, etc.)
• Experience integrating solutions in multi-region environments
• Familiarity with Agile/Scrum/DevOps methodologies

We are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.

This person MUST have:

• B.E Computer Science or equivalent

• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.

• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.

• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.

• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.

• Experience configuring/maintaining one monitoring tool.

• Excellent verbal & written communication skills.

• Candidates with certifications - AWS, GCP, CKA, etc will be preferred

• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.

• Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
  
  

Location: Remotely, anywhere in India.

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
  
  

Position:

• Full time/Direct

• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.

• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

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

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities:

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Implement consistent observability, deployment and IaC setups
• Patch production systems to fix security/performance issues
• Actively respond to escalations/incidents in the production environment from customers or the support team
• Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Participate in infrastructure security audits

Requirements:

• At least 5 years of experience in handling/building Production environments in AWS.
• At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
• Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.

Position: Senior DevOps Engineer (Azure Cloud Infra & Application deployments)   

Location:

Hyderabad  

Hiring a Senior

DevOps engineer having 2 to 5 years of experience.  

Primary Responsibilities   

Strong Programming experience in PowerShell and batch

scripts. 

Strong expertise in Azure DevOps, GitLab, CI/CD, Jenkins and

Git Actions, Azure Infrastructure. 

Strong

experience in configuring infrastructure and Deployments application in

Kubernetes, docker & Helm charts, App Services, Server less, SQL database, Cloud

services and Container deployment. 

Continues

Integration, deployment, and version control (Git/ADO).  

Strong experience in managing and configuring RBAC, managed identity and

security best practices for cloud environments. 

Strong verbal and written communication skills. 

Experience with agile development process. 

· 

Good analytical skills  

Additional Responsibility.  

Familiar with

various design and architecture patterns. 

Work with modern frameworks and design patterns. 

Experience with cloud applications Azure/AWS.  Should have experience in developing solutions and plugins and should have used XRM Toolbox/ToolKit.

Exp in Customer Portal and Fetchxml and Power Apps and Power Automate is good to have.

Company Name: Petpooja!

Location: Ahmedabad

Designation: DevOps Engineer

Experience: Between 2 to 7 Years

Candidates from Ahmedabad will be preferred

Job Location: Ahmedabad

Job Responsibilities: - -

• Planned, implement, and maintain the software development infrastructure.
• Introduce and oversee software development automation across cloud providers like AWS and Azure
• Help develop, manage, and monitor continuous integration and delivery systems
• Collaborate with software developers, QA specialists, and other team members to ensure the timely and successful delivery of new software releases
• Contribute to software design and development, including code review and feedback
• Assist with troubleshooting and problem-solving when issues arise
• Keep up with the latest industry trends and best practices while ensuring the company meets configuration requirements
• Participate in team improvement initiatives
• Help create and maintain internal documentation using Git or other similar applications
• Provide on-call support as needed

Qualification Required:

1. You should have Experience handling various services on the AWS cloud.

2. Previous experience as a Site reliability engineer would be an advantage.

3. You will be well versed with various commands and hands-on with Linux, Ubuntu administration, and other aspects of the Software development team requirement.

4. At least 2 to 7 years of experience with managing AWS Services such as Auto Scaling, Route 53, and various other internal networks.

5. Would recommend if having an AWS Certification.

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• AWS Cloud, CICD, Serverless setups, Monitoring Setup
• Performance setup, scalability in hands experience, Linux expertise, DevOps Operations

• AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.