Devops 2

Job Details:

• Role: Staff Engineer, ArgoCD
• Experience: 5.5-7.5 Years
• Employment Type: Full-time
• Work Mode: Gurugram (Hybrid)

Job Description

REQUIREMENTS:

• Strong hands-on experience with Kubernetes (K8s) administration, deployment, and troubleshooting
• Expertise in GitOps implementation using ArgoCD
• Strong experience with Crossplane for infrastructure provisioning and orchestration
• Hands-on experience with New Relic for monitoring, observability, and performance management
• Experience building and maintaining CI/CD pipelines and deployment automation
• Strong knowledge of Infrastructure as Code (IaC) using Terraform
• Experience working with AWS cloud services and cloud-native architectures
• Hands-on experience with Docker and containerization technologies
• Strong Linux administration and scripting skills
• Experience implementing platform reliability, security, and automation best practices
• Strong understanding of monitoring, logging, and observability frameworks

RESPONSIBILITIES:

• Manage, maintain, and optimize Kubernetes-based infrastructure and application deployments
• Implement and support GitOps workflows using ArgoCD
• Design and manage infrastructure provisioning using Crossplane
• Monitor platform performance, reliability, and user experience using New Relic
• Build, enhance, and maintain CI/CD pipelines for automated software delivery
• Collaborate with development and platform engineering teams to deliver scalable cloud-native solutions
• Implement Infrastructure as Code practices using Terraform and automation tools
• Ensure platform stability, security, scalability, and operational excellence
• Troubleshoot infrastructure, deployment, and performance-related issues
• Drive continuous improvement initiatives across DevOps processes, tooling, and automation practices
• Support cloud infrastructure management and containerized application environments on AWS
• Promote DevOps best practices, governance, and operational standards across teams

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields   

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.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders

Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services

Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies

Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies

Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)

Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies

Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc

Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline

Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost

Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution

Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred

Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.

Hands-on Experience with application build/release processes CI/CD pipelines

Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA

Additional Requirements:

Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral

Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice

Assist Sales and Marketing team in creating sales and marketing collateral

Write whitepapers and technology blogs to be published on social media and Intuitive website

Create case studies for projects successfully executed by Intuitive delivery team

Conduct sales enablement sessions to coach sales team on new offerings

Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams

Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings

Strong passion for modern technology exploration and development

Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills

Experience with Multi-cloud (Azure, GCP, OCI) is a big plus

Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus

Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus

We are looking for a DevOps Lead to join our team.

Responsibilities

• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment

Operations (Ops)

• Identity manual processes and automate them using various DevOps automation tools

• Maintain the organization’s growing cloud infrastructure

• Monitor and maintain DevOps environment stability

• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues

• Orchestrating builds and test setups using Docker and Kubernetes.

• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability

• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences

Requirements

• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.

• Candidate should have experience in ELK stack, Kubernetes, and Docker.

• Solid experience in the AWS environment.

• Should have experience in monitoring tools like DataDog or Newrelic.

• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.

• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.

• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.

• Candidates should demonstrate knowledge in handling distributed data systems.

Examples: Elastisearch, Cassandra, Hadoop, and others.

• Should have experience in GitLab- CIRoles and Responsibilities

Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Infrastructure Engineers to join our Engineering team.

More on this here - https://kutumbapp.com/why-join-us.html">https://kutumbapp.com/why-join-us.html

We’re excited if you have:

• Recent experience designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
• Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana, ELK (ElasticSearch + Logstash + Kibana), Jaeger, Kiali, and/or Loki
• Familiarity with open standards like OpenTelemetry, OpenTracing, and OpenMetrics
• Familiarity with Kubernetes and Istio as the architecture on which the observability platform runs, and how they integrate and scale. Additionally, the ability to contribute improvements back to the joint platform for the benefit of all teams
• Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment 
• Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates (think Argo & keptn)
• Hands-on experience working with AWS 
• Bonus points for knowledge of ETL pipelines and Big data architecture
• Great problem-solving skills & takes pride in your work
• Enjoys building scalable and resilient systems, with a focus on systems that are robust by design and suitably monitored
• Abstracting all of the above into as simple of an interface as possible (like Knative) so developers don't need to know about it unless they choose to open the escape hatch

What you’ll be doing:

• Design and build automation around the chosen tools to make onboarding new services easy for developers (dashboards, alerts, traces, etc)
• Demonstrate great communication skills in working with technical and non-technical audiences
• Contribute new open-source tools and/or improvements to existing open-source tools back to the CNCF ecosystem

Tools we use:

Kops, Argo, Prometheus/ Loki/ Grafana, Kubernetes, AWS, MySQL/ PostgreSQL, Apache Druid, Cassandra, Fluentd, Redis, OpenVPN, MongoDB, ELK

What we offer:

• High pace of learning
• Opportunity to build the product from scratch
• High autonomy and ownership
• A great and ambitious team to work with
• Opportunity to work on something that really matters
• Top of the class market salary and meaningful ESOP ownership

• Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
• Good experience on Build and release process and extensively involved in the CICD using

Jenkins

• Experienced on configuration management tools like Ansible.
• Designing, implementing and supporting fully automated Jenkins CI/CD
• Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
• Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
• Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Good knowledge in version control system in Git and GitHub.
• Good experience in build tools
• Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest

Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days

Job Descrtiption:

Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB

Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.

Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application

Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator

Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support,  implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.