Sr Devops Engineer

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.

Key Responsibilities:

• Build and Automation: Utilize Gradle for building and automating software projects. Ensure efficient and reliable build processes.
• Scripting: Develop and maintain scripts using Python and Shell scripting to automate tasks and improve workflow efficiency.
• CI/CD Tools: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Harness, Github Actions, Jenkins, and other relevant technologies. Ensure seamless integration and delivery of code changes.
• Cloud Platforms: Demonstrate proficiency in working with cloud platforms including OpenShift, Azure, and Google Cloud Platform (GCP). Deploy, manage, and monitor applications in cloud environments.

Share Cv to

Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Primary Skills:

Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS

Additional Skills Required:

• Should have experience working with Jenkins, Git, Gerrit
• Should have Good understanding of AWS Security and execution.
• Should have Good python skills
• Should have experience of working with GIT, Gerrit, Jira, Confluence,
• Exposure to messaging systems Rabbit MQ
• Exposure to Html, Groovy, Javascript, shell scripting
• Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
• Exposure to Android skills.
• Should have experience in working with cloud-native architecture.
• Experience with log stash and elastic search
• Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
• May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
• Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
• Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation

Key Responsibilities:

• Perform a Technical Lead role for DevOPs development and support teams.
• Need to communicate & coordinate with both offshore and onsite teams
• Should translate business requirements into project plans and workable item/activities
• Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
• Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
• Understand the current applications and technical architecture and improvise them as needed.
• Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc

Please Apply - https://zrec.in/GzLLD?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 Engineer AWS

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:     2-4 years

Education:           B.Tech/MCA/BCA

Notice Period:     Immediately

Infra360.io is searching for a DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As a DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure. 

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 Engineer 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:

• CI/CD and configuration management
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environment's infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Infrastructure as a code (IaC)
• Keeping the cost of the infrastructure to the minimum
• Setting up the right set of security measures
• CI/CD and configuration management
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environment's infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Infrastructure as a code (IaC)
• Keeping the cost of the infrastructure to the minimum
• Setting up the right set of security measures

Ideal Candidate Profile:

• A graduation/post-graduation degree in Computer Science and related fields
• 2-4 years of strong DevOps experience with the Linux environment.
• Strong interest in working in our tech stack
• Excellent communication skills
• Worked with minimal supervision and love to work as a self-starter
• Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
• Experience with version control systems like Git
• Strong experience of Amazon Web Services (EC2, RDS, VPC, S3, Route53, IAM etc.)
• Strong experience with managing the Production Systems day in and day out
• Experience in finding issues in different layers of architecture in production environment and fixing them
• Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
• Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
• Experience in automation tools like Ansible/SaltStack and Jenkins
• Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
• Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
• Experience with managing/mentoring small team of 2-3 people (desirable)
• Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
• Experience in logging tools Like ELK/Loki.

ketteQ is a supply chain planning and automation platform. We are looking for an experienced AWS Devops Engineer to help manage AWS infrastructure and automation.  This job comes with a attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:

Duties & Responsibilities

• Deployment, automation, management, and maintenance of AWS cloud-based production system
• Build a deployment pipeline for AWS and Salesforce
• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Work collaboratively with software engineering to define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as cloud formation template
• Ensure configuration and compliance with configuration management tools
• Administer and troubleshoot Linux based systems
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization

Requirements

• At least 5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, Fargate, S3, Cloud Formation)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Solid foundation of networking and Linux administration
• Experience with Docker, GitHub, Jenkins, Cloud Formation and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Database experience to help with monitoring and performance; PostgreSql experience preferred
• AWS certification preferred

Education

• Bachelors in Engineering or related field

Job role

Anaxee is India's REACH Engine! To provide access across India, we need to build highly scalable technology which needs scalable Cloud infrastructure. We’re seeking an experienced cloud engineer with expertise in AWS (Amazon Web Services), GCP (Google Cloud Platform), Networking, Security, and Database Management; who will be Managing, Maintaining, Monitoring, Handling Cloud Platforms, and ensuring the security of the same.

You will be surrounded by people who are smart and passionate about the work they are doing.

Every day will bring new and exciting challenges to the job.

Job Location: Indore | Full Time | Experience: 1 year and Above | Salary ∝ Expertise | Rs. 1.8 LPA to Rs. 2.64 LPA

About the company:

Anaxee Digital Runners is building India's largest last-mile Outreach & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach the remotest parts of India, on-demand.

We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Anaxee is one of the very few venture-funded startups in Central India | Website: www.anaxee.com

Important: Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities (You will enjoy the process):

#Triage and troubleshoot issues on the AWS and GCP and participate in a rotating on-call schedule and address urgent issues quickly

#Develop and leverage expert-level knowledge of supported applications and platforms in support of project teams (architecture guidance, implementation support) or business units (analysis).

#Monitoring the process on production runs, communicating the information to the advisory team, and raising production support issues to the project team.

#Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management

#Developing and implementing technical efforts to design, build, and deploy AWS and GCP applications at the direction of lead architects, including large-scale data processing and advanced analytics

#Participate in all aspects of the SDLC for AWS and GCP solutions, including planning, requirements, development, testing, and quality assurance

#Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures

#Educate teams on the implementation of new cloud-based initiatives, providing associated training as required

#Build and maintain operational tools for deployment, monitoring, and analysis of AWS and GCP infrastructure and systems; Design, deploy, maintain, automate & troubleshoot virtual servers and storage systems, firewalls, and Load Balancers in our hybrid cloud environment (AWS and GCP)

What makes a great DevOps Engineer (Cloud) for Anaxee:

#Candidate must have sound knowledge, and hands-on experience, in GCP (Google Cloud Platform) and AWS (Amazon Web Services)

#Good hands-on Linux Operating system OR any other similar distributions, viz. Ubuntu, CentOS, RHEL/RedHat, etc.

#1+ years of experience in the industry

#Bachelor's degree preferred with Science/Maths background (B.Sc/BCA/B.E./B.Tech)

#Enthusiasm to learn new software, take ownership and latent desire and curiosity in the related domain like Cloud, Hosting, Programming, Software development, security.

#Demonstrable skills troubleshooting a wide range of technical problems at application and system level, and have strong organizational skills with eye for detail.

#Prior knowledge of risk-chain is an added advantage

#AWS/GCP certifications is a plus

#Previous startup experience would be a huge plus.

The ideal candidate must be experienced in cloud-based tech, with a firm grasp on emerging technologies, platforms, and applications, and have the ability to customize them to help our business become more secure and efficient. From day one, you’ll have an immediate impact on the day-to-day efficiency of our IT operations, and an ongoing impact on our overall growth

What we offer

#Startup Flexibility

#Exciting challenges to learn grow and implement notions

#ESOPs (Employee Stock Ownership Plans)

#Great working atmosphere in a comfortable office,

#And an opportunity to get associated with a fast-growing VC-funded startup.

What happens after you apply?

You will receive an acknowledgment email with company details.

If gets shortlisted, our HR Team will get in touch with you (Call, Email, WhatsApp) in a couple of days

Rest all the information will be communicated to you then via our AMS.

Our expectations before/after you click “Apply Now”

Read about Anaxee: http://www.anaxee.com/

Watch this six mins pitch to get a better understanding of what we are into https://www.youtube.com/watch?v=7QnyJsKedz8

Let's dive into detail (Company Presentation): https://bit.ly/anaxee-deck-brands

Must-Have’s:

• Hands-on DevOps (Git, Ansible, Terraform, Jenkins, Python/Ruby)  

Job Description:

• Knowledge on what is a DevOps CI/CD Pipeline

• Understanding of version control systems like Git, including branching and merging strategies
• Knowledge of what is continuous delivery and integration tools like Jenkins, Github
• Knowledge developing code using Ruby or Python and Java or PHP 
• Knowledge writing Unix Shell (bash, ksh) scripts

• Knowledge of what is automation/configuration management using Ansible, Terraform, Chef or Puppet

• Experience and willingness to keep learning in a Linux environment
• Ability to provide after-hours support as needed for emergency or urgent situations

Nice to have’s:

• Proficient with container based products like docker and Kubernetes

• Excellent communication skills (verbal and written)

• Able to work in a team and be a team player
• Knowledge of PHP, MySQL, Apache and other open source software
• BA/BS in computer science or similar