Principal Devops Engineer/ Architect

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Please Apply - https://zrec.in/IGpwc?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:             DevOps Intern

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:     6+ Months

Education:           B.Tech/MCA/BCA

Notice Period:     Immediately

We are seeking a motivated and talented DevOps Intern to join our dynamic team. As a DevOps Intern, you will have the opportunity to work closely with our experienced DevOps engineers to support and improve our development and deployment processes. This is an excellent opportunity for someone looking to kick-start their career in DevOps and gain hands-on experience in a fast-paced, innovative environment.

Below is a detailed description of the roles and responsibilities, expectations for the role.

Tech Stack :

• Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
• Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
• ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
• Helm: Expertise in Helm for managing Kubernetes applications.
• Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
• Debugging and Troubleshooting: The DevOps Intern must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.

Key Responsibilities:

• Assist in the development, deployment, and maintenance of cloud infrastructure.
• Collaborate with development and operations teams to automate and improve the CI/CD pipeline.
• Monitor system performance and troubleshoot issues to ensure high availability and reliability.
• Implement and maintain configuration management tools.
• Participate in code reviews and contribute to improving development practices.
• Assist in the creation of documentation for processes and procedures.
• Support the team in managing and maintaining development and production environments.

Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.
• Added advantage if prior internship experience and have completed DevOps course or certification.
• Basic understanding of cloud platforms (AWS, Azure, GCP) and cloud services.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
• Basic knowledge of scripting languages (Python, Bash, etc.).
• Understanding of version control systems (Git, SVN).
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and processes.

Preferred Qualifications:

• Experience with containerization technologies (Docker, Kubernetes).
• Knowledge of infrastructure as code (Terraform, Ansible).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
• Previous internship or project experience in DevOps or related fields.

What We Offer:

• Hands-on experience with modern DevOps tools and practices.
• Mentorship and guidance from experienced professionals.
• Opportunity to work on real-world projects and make a tangible impact.
• Collaborative and supportive work environment.
• Potential for future full-time opportunities based on performance.

Internship Details:

• Duration: 6 months of internship which can be converted to full-time employment based on performance
• Location: Gurgaon
• Mode: In Office

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.

You will make an ideal candidate if you have: 

• Experience of building a range of Services in a Cloud Service provider

• Expert understanding of DevOps principles and Infrastructure as a Code concepts and techniques

• Strong understanding of CI/CD tools (Jenkins, Ansible, GitHub)

• Managed an infrastructure that involved 50+ hosts/network 

• 3+ years of Kubernetes experience & 5+ years of experience in Native services such as Compute (virtual machines), Containers (AKS), Databases, DevOps, Identity, Storage & Security

• Experience in engineering solutions on cloud foundation platform using Infrastructure As Code methods (eg. Terraform)

• Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools

• Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams

• Good leadership and teamwork skills - Works collaboratively in an agile environment

• Operational effectiveness - delivers solutions that align to approved design patterns and security standards

• Excellent skills in at least one of following: Python, Ruby, Java, JavaScript, Go, Node.JS

• Experienced in full automation and configuration management

• A track record of constantly looking for ways to do things better and an excellent understanding of the mechanism necessary to successfully implement change

• Set and achieved challenging short, medium and long term goals which exceeded the standards in their field

• Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences

• Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same

• A successful track record of delivering complex projects and/or programmes, utilizing appropriate techniques and tools to ensure and measure success

• A comprehensive understanding of risk management and proven experience of ensuring own/others' compliance with relevant regulatory processes

Essential Skills :

• Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including compute, devops, databases, storage & security

• Demonstrable experience of Linux administration and scripting preferably Red Hat

• Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools

• Experience working within an Agile environment

• Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Node.JS

• Server administration (either Linux or Windows)

• Automation scripting (using scripting languages such as Terraform, Ansible etc.)

• Ability to quickly acquire new skills and tools

Required Skills :

• Linux & Windows Server Certification

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

Creates, modifies, and maintains software applications individually or as part of a team.  Provides technical leadership on a team, including training and mentoring of other team members.  Provides technology and architecture direction for the team, department, and organization.

• Develops software applications and supporting infrastructure using established coding standards and methodologies
• Sets example for software quality through multiple levels of automated tests, including but not limited to unit, API, End to End, and load.
• Self-starter and self-organized - able to work without supervision
• Develops tooling, test harnesses and innovative solutions to understand and monitor the quality of the product 
• Develops infrastructure as code to reliably deploy applications on demand or through automation
• Understands cloud managed services and builds scalable and secure applications using them
• Creates proof of concepts for new ideas that answer key questions of feasibility, desirability, and viability
• Work with other technical leaders to establish coding standards, development best practices and technology direction
• Performs thorough code reviews that promote better understanding throughout the team
• Work with architects, designers, business analysts and others to design and implement high quality software solutions
• Builds intuitive user interfaces with the end user persona in mind using front end frameworks and styling
• Assist product owners in backlog grooming, story breakdown and story estimation
• Collaborate and communicate effectively with team members and other stakeholders throughout the organization
• Document software changes for use by other engineers, quality assurance and documentation specialists
• Master the technologies, languages, and practices used by the team and project assigned
• Train others in the technologies, languages, and practices used by the team
• Trouble shoot, instrument and debug existing software resolving root causes of defective behavior
• Guide the team in setting up the infrastructure in the cloud.
• Setup the security protocols for the cloud infrastructure
• Works with the team in setting up the data hub in the cloud
• Create dashboards for the visibility of the various interactions between the cloud services
• Other duties as assigned

• BA/BS in Computer Science, a related field or equivalent work experience

• Mastered advanced programming concepts, including object oriented programming
• Mastered technologies and tools utilized by team and project assigned
• Able to train others on general programming concepts and specific technologies
• Minimum 8 years’ experience developing software applications

• Must be expert in advanced programming skills and database technology
• Must be expert in at least one technology and/or language and proficient in multiple technologies and languages:
• (Specific languages needed will vary based on development department or project)
• .Net Core, C#, Java, SQL, JavaScript, Typescript, Python
• Additional desired skills:
  • Single-Page Applications, Angular (v9), Ivy, RXJS, NGRX, HTML5, CSS/SASS, Web Components, Atomic Design
  • Test First approach, Test Driven Development (TDD), Automated testing (Protractor, Jasmine), Newman Postman, artillery.io
  • Microservices, Terraform, Jenkins, Jupyter Notebook, Docker, NPM, Yarn, Nuget, NodeJS, Git/Gerrit, LaunchDarkly
  • Amazon Web Services (AWS), Lambda, S3, Cognito, Step Functions, SQS, IAM, Cloudwatch, Elasticache
  • Database Design, Optimization, Replication, Partitioning/Sharding, NoSQL, PostgreSQL, MongoDB, DynamoDB, Elastic Search, PySpark, Kafka
  • Agile, Scrum, Kanban, DevSecOps
• Strong problem-solving skills
• Outstanding communications and interpersonal skills
• Strong organizational skills and ability to multi-task
• Ability to track software issues to successful resolution
• Ability to work in a collaborative fast paced environment
• Setting up complex AWS data storage hub
• Well versed in setting up infrastructure security in the interactions between the planned components
• Experienced in setting up dashboards for analyzing the various operations in the AWS infra setup.
• Ability to learn new development language quickly and apply that knowledge effectively

• You have a Bachelor's degree in computer science or equivalent
• You have at least 7 years of DevOps experience.
• You have deep understanding of AWS and cloud architectures/services.
• You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
• You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
• You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
• You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
• You have a track record of delivering successful solutions and collaborating with others.
• You take security into account when building new systems.