Cloud Analyst Level 1

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.

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data

protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent

troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.

Responsibilities Include:

Review proposed feature requirements

Create test plan and test cases

Analyze performance, diagnosis, and troubleshooting

Enter and track defects

Interact with customers, partners, and development teams

Researching customer issues and product initiatives

Provide input for service documentation

Required Skills:

Bachelor's degree in Computer Science, Information Systems or related discipline

3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience

Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB

Experience with technologies such as REST, Angular, Messaging, Databases, etc.

Strong troubleshooting skills and issue isolation skills

Possess excellent communication skills (written and verbal English)

Must be able to work as an individual contributor within a team

Ability to think outside the box

Experience in configuring infrastructure

Knowledge of CI / CD

Desirable skills:

Programming skills in scripting languages (e.g., python, bash)

Knowledge of Linux administration

Knowledge of testing tools/frameworks: TestNG, Selenium, etc

Knowledge of Identity and Security

Why LiftOff? 

We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.

Many on the team are serial entrepreneurs with a history of successful exits.

As a Devops Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.

Must Have 

*Work experience of at least 2 years with Kubernetes.

*Hands-on experience working with Kubernetes. Preferably on Azure Cloud.

*Well-versed with Kubectl

*Experience in using Azure Monitor, setting up analytics and reports for Azure containers and services.

*Monitoring and observability

*Setting Alerts and auto-scaling

Nice to have

*Scripting and automation

*Experience with Jenkins or any sort of CI/CD pipelines

*Past experience in setting up cloud infrastructure, configurations and database backups

*Experience with Azure App Service

*Experience of setting up web socket-based applications.

*Working knowledge of Azure APIM

We are a group of passionate people driven by core values. We strive to make every process transparent and have flexible work timings along with excellent startup culture and vibe.

We are looking for a tech enthusiast to work in challenging environment, we are looking for a person who is self driven, proactive and has good experience in Azure, DevOps, Asp.Net etc. share your resume today if this interests you.

Job Location: Pune

About us:

JetSynthesys is a leading gaming and entertainment company with a wide portfolio of world class products, platforms, and services. The company has a robust foothold in the cricket community globally with its exclusive JV with Sachin Tendulkar for the popular Sachin Saga game and a 100% ownership of Nautilus Mobile - the developer of India’s largest cricket simulation game Real Cricket, becoming the #1 cricket gaming franchise in the world. Standing atop in the charts of organizations fueling Indian esports gaming industry, Jetsysthesys was the earliest entrant in the e-sports industry with a founding 50% stake in India’s largest esports company, Nodwin Gaming that is recently funded by popular South Korean gaming firm Krafton.

Recently, the company has developed WWE Racing Showdown, a high-octane vehicular combat game borne out of a strategic partnership with WWE. Adding to the list is the newly launched board game - Ludo Zenith, a completely reimagined ludo experience for gamers, built in partnership with Square Enix - a Japanese gaming giant.

JetSynthesys Pvt. Ltd. is proud to be backed by Mr. Adar Poonawalla - Indian business tycoon and CEO of Serum Institute of India, Mr. Kris Gopalakrishnan – Co-founder of Infosys and the family offices of Jetline Group of Companies. JetSynthesys’ partnerships with large gaming companies in the US, Europe and Japan give it an opportunity to build great products not only for India but also for the world.

Responsibilities

- As a Security & Azure DevOps engineer technical specialist you will be responsible for advising and assisting in the architecture, design and implementation of secure infrastructure solutions

- Should be capable of technical deep dives into infrastructure, databases, and application, specifically in operating, and supporting high-performance, highly available services and infrastructure

· Deep understanding of cloud computing technologies across Windows, with demonstrated hands-on experience on the following domains:

· Experience in building, deploying and monitoring Azure services with strong IaaS and PaaS services (Redis Cache, Service Bus, Event Hub, Cloud Service etc.)

· Understanding of API endpoint management

· Able to monitor, maintain serverless architect using function /web apps

· Logs analysis capabilities using elastic search and Kibana dashboard

· Azure Core Platform: Compute, Storage, Networking

· Data Platform: SQL, Cosmo DB, MongoDB and JQL query

· Identity and Authentication: SSO Federation, ADAzure AD etc

· Experience with Azure Storage, Backup and Express Route

· Hands-on experience in ARM templates

· Ability to write PowerShell & Python scripts to automate IT Operations

· Working Knowledge of Azure OMS and Configuration of OMS Dashboards is desired

· VSTS Deployments

· You will help assist in stabilizing developed solutions by understanding the relevant application development, infrastructure and operations implications of the developed solution.

· Use of DevOps tools to deliver and operate end-user services a plus (e.g., Chef, New Relic, Puppet, etc.)

· Able to deploy and re-create of resources

· Building terraforms for cloud infrastructure

· Having ITIL/ITASM standards as best practise

· PEN testing and OWASP security testing will be addon bonus

· Load and performance testing using Jmeter

· Capacity review on daily basis

· Handing repeated issues and solving them using ansible automation

· Jenkin pipelines for CI/CD

· Code review platform using sonarqube

· Cost analysis on regular basis to keep the system and resources optimum

· Experience on ASP.Net, C#, .Net programming is must.

Qualifications:

Minimum graduate (Preferred Stream: IT/Technical)

Role Summary

In this role, you will lead the DevOps function at the organisation and work through all

facets of software development: design, prototype, implementation, testing and

documentation.

Responsibilities

• Design, prototype, implement, test and troubleshoot deployment strategies
• BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
• preferred.
• Design continuous integration and delivery pipelines using latest tools and platformsv
• Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
• Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
• VPN, GKE.
• Create high level deployment design (HLSD) documents and outline software solutions
• Strong DevOps Management experience with focus on server-side development and
• database design
• Optimize application for maximum speed and scalability
• Strong understanding of web technologies, web services, communication protocols,
• (REST, SOAP API’s) and a proven track record in developing communication between
• desktop applications and web services
• Knowledge of Agile software development methodologies
• Cooperating with the back-end developer in the process of building the RESTful API

Qualification

• Experience with working on code enhancements within a large, complex software
• system
• Create server side deployment primarily in the Cloud, Collaboration space
• 10+ years of relevant experience in developing and managing web/app products.
• Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
• Go
• Hands-on experience in deploying and managing highly scalable cloud applications
• using AWS,Google Cloud
• Assure that all user input is validated before submitting to back-end
• Basic understanding of cloud security and hands on experience in building secure
• systems.
• Prepare accurate implementation task lists / time estimates and deliver assignments as
• per functional specifications, quality standards and project schedulesvvvv

• Proficient in Java, Node or Python
• Experience with NewRelic, Splunk, SignalFx, DataDog etc.
• Monitoring and alerting experience
• Full stack development experience
• Hands-on with building and deploying micro services in Cloud (AWS/Azure)
• Experience with terraform w.r.t Infrastructure As Code
• Should have experience troubleshooting live production systems using monitoring/log analytics tools
• Should have experience leading a team (2 or more engineers)
• Experienced using Jenkins or similar deployment pipeline tools
• Understanding of distributed architectures

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs 

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills