Amazon Web Services (AWS)
Jenkins
Kubernetes
GitHub
DockerWhy 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Zocket
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Amazon Web Services (AWS)About GradRight
Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. Our mission is to drive transparency and accountability in the global higher education sector and create significant impact using the power of technology, data science and collaboration.
GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions in an integrated manner. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner.
In the last three years, we have enabled students to get the best deals on a $ 2.8+ Billion of loan requests and facilitated disbursements of more than $ 350+ Million in loans. GradRight won the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India & was among the top 7 global finalists in The PIEoneer awards, UK.
GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions. It is led by alumni of IIT Delhi, BITS Pilani, IIT Roorkee, ISB Hyderabad and University of Pennsylvania. GradRight is a Delaware, USA registered company with a wholly owned subsidiary in India.
About the Role
We are looking for a passionate DevOps Engineer with hands-on experience in AWS cloud infrastructure, containerization, and orchestration. The ideal candidate will be responsible for building, automating, and maintaining scalable cloud solutions, ensuring smooth CI/CD pipelines, and supporting development and operations teams.
Core Responsibilities
Design, implement, and manage scalable, secure, and highly available infrastructure on AWS.
Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.
Containerize applications using Docker and manage deployments with Kubernetes (EKS, self-managed, or other distributions).
Monitor system performance, availability, and security using tools like CloudWatch, Prometheus, Grafana, ELK/EFK stack.
Collaborate with development teams to optimize application performance and deployment processes.
Required Skills & Experience
3–4 years of professional experience as a DevOps Engineer or similar role.
Strong expertise in AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, EKS, etc.).
Hands-on experience with Docker and Kubernetes (EKS or self-hosted clusters).
Proficiency in CI/CD pipeline design and automation.
Experience with Infrastructure as Code (Terraform / AWS CloudFormation).
Solid understanding of Linux/Unix systems and shell scripting.
Knowledge of monitoring, logging, and alerting tools.
Familiarity with networking concepts (DNS, Load Balancing, Security Groups, Firewalls).
Basic programming/scripting experience in Python, Bash, or Go.
Nice to Have
Exposure to microservices architecture and service mesh (Istio/Linkerd).
Knowledge of serverless (AWS Lambda, API Gateway).
GitJenkins
KubernetesDockerAmazon Web Services (AWS)Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.
YOU WILL:
- Plan for future infrastructure as well as maintain & optimize the existing infrastructure.
- Conceptualize, architect, and build:
- 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
- 2. Infrastructure using Docker, Kubernetes, and other serverless platforms;
- 3. Secured network utilizing VPCs with inputs from the security team.
- Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
- Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments.
- Triage release of applications/ Hotfixes to the production environment on a daily basis.
- Interface with developers and triage SQL queries that need to be executed in production environments.
- Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
- Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
- Scale Electum platform to handle millions of requests concurrently.
- Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery
PREREQUISITES:
- Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
- Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
- At least 2 years of experience in building and owning serverless infrastructure.
- At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
- Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
- Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
- Must have prior experience automating deployments to production and lower environments.
- Worked on providing solutions for major automation with scripts or infrastructure.
- Experience with APM tools such as DataDog and log management tools.
- Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
- Experience establishing and enforcing:
- 1. System monitoring tools and standards
- 2. Risk Assessment policies and standards
- 3. Escalation policies and standards
- Excellent DevOps engineering, team management, and collaboration skills.
- Advanced knowledge of programming languages such as Python and writing code and scripts.
- Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.
PythonDockerKubernetes A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
DockerKubernetesAmazon Web Services (AWS)Job Description
- Implement IAM policies and configure VPCs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Should act as Tech Lead and guide the junior members of team and mentor them
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on AWS Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on AWS
- Build, Deploy and Manage production workloads including applications on EC2 instance, APIs on Lambda Functions and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Qualifications
- Prefer to have at least 5+ years of IT experience implementing enterprise applications
- Should be AWS Solution Architect Associate Certified
- Must have at least 3+ years of working as a Cloud Engineer focused on AWS services such as EC2, CloudFront, VPC, CloudWatch, RDS, DynamoDB, Systems Manager, Route53, WAF, API Gateway, Elastic beanstalk, ECS, ECR, Lambda, SQS, SNS, S3 bucket, Elastic Search, DocumentDB IAM, etc.
- Must have a strong understanding of EC2 instances, types and deploying applications to the cloud
- Must have a strong understanding of IAM policies, VPC creation, and other security/networking principles
- Must have through experience in doing on prem to AWS cloud workload migration
- Should be comfortable in using AWS and other migrations tools
- Should have experience is working on AWS performance, Cost and Security optimisation
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on AWS using CodeBuild, CodeDeploy, etc. is an advantage
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerisation technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
DockerKubernetesAmazon Web Services (AWS)- Design, Develop, deploy, and run operations of infrastructure services in the Acqueon AWS cloud environment
- Manage uptime of Infra & SaaS Application
- Implement application performance monitoring to ensure platform uptime and performance
- Building scripts for operational automation and incident response
- Handle schedule and processes surrounding cloud application deployment
- Define, measure, and meet key operational metrics including performance, incidents and chronic problems, capacity, and availability
- Lead the deployment, monitoring, maintenance, and support of operating systems (Windows, Linux)
- Build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies
- Run incident resolution within the environment, facilitating teamwork with other departments as required
- Automate the deployment of new software to cloud environment in coordination with DevOps engineers
- Work closely with Presales, understand customer requirement to deploy in Production
- Lead and mentor a team of operations engineers
- Drive the strategy to evolve and modernize existing tools and processes to enable highly secure and scalable operations
- AWS infrastructure management, provisioning, cost management and planning
- Prepare RCA incident reports for internal and external customers
- Participate in product engineering meetings to ensure product features and patches comply with cloud deployment standards
- Troubleshoot and analyse performance issues and customer reported incidents working to restore services within the SLA
- Monthly SLA Performance reports
As a Cloud Operations Manager in Acqueon you will need….
- 8 years’ progressive experience managing IT infrastructure and global cloud environments such as AWS, GCP (must)
- 3-5 years management experience leading a Cloud Operations / Site Reliability / Production Engineering team working with globally distributed teams in a fast-paced environment
- 3-5 years’ experience in IAC (Terraform, K8)
- 3+ years end-to-end incident management experience
- Experience with communicating and presenting to all stakeholders
- Experience with Cloud Security compliance and audits
- Detail-oriented. The ideal candidate is one who naturally digs as deep as they need to understand the why
- Knowledge on GCP will be added advantage
- Manage and monitor customer instances for uptime and reliability
- Staff scheduling and planning to ensure 24x7x365 coverage for cloud operations
- Customer facing, excellent communication skills, team management, troubleshooting
KubernetesDockerAmazon Web Services (AWS)Karkinos Healthcare Pvt. Ltd.
The fundamental principle of Karkinos healthcare is democratization of cancer care in a participatory fashion with existing health providers, researchers and technologists. Our vision is to provide millions of cancer patients with affordable and effective treatments and have India become a leader in oncology research. Karkinos will be with the patient every step of the way, to advise them, connect them to the best specialists, and to coordinate their care.
Karkinos has an eclectic founding team with strong technology, healthcare and finance experience, and a panel of eminent clinical advisors in India and abroad.
Roles and Responsibilities:
- Critical role that involves in setting up and owning the dev, staging, and production infrastructure for the platform that uses micro services, data warehouses and a datalake.
- Demonstrate technical leadership with incident handling and troubleshooting.
- Provide software delivery operations and application release management support, including scripting, automated build and deployment processing and process reengineering.
- Build automated deployments for consistent software releases with zero downtime
- Deploy new modules, upgrades and fixes to the production environment.
- Participate in the development of contingency plans including reliable backup and restore procedures.
- Participate in the development of the end to end CI / CD process and follow through with other team members to ensure high quality and predictable delivery
- Participate in development of CI / CD processes
- Work on implementing DevSecOps and GitOps practices
- Work with the Engineering team to integrate more complex testing into a containerized pipeline to ensure minimal regressions
- Build platform tools that rest of the engineering teams can use.
Apply only if you have:
- 2+ years of software development/technical support experience.
- 1+ years of software development, operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- 2+ years of experience in public cloud services: AWS (VPC, EC2, ECS, Lambda, Redshift, S3, API Gateway) or GCP (Kubernetes Engine, Cloud SQL, Cloud Storage, BIG Query, API Gateway, Container Registry) - preferably in GCP.
- Experience managing infra for distributed NoSQL system (Kafka/MongoDB), Containers, Micro services, deployment and service orchestration using Kubernetes.
- Experience and a god understanding of Kubernetes, Service Mesh (Istio preferred), API Gateways, Network proxies, etc.
- Experience in setting up infra for central monitoring of infrastructure, ability to debug, trace
- Experience and deep understanding of Cloud Networking and Security
- Experience in Continuous Integration and Delivery (Jenkins / Maven Github/Gitlab).
- Strong scripting language knowledge, such as Python, Shell.
- Experience in Agile development methodologies and release management techniques.
- Excellent analytical and troubleshooting.
- Ability to continuously learn and make decisions with minimal supervision. You understand that making mistakes means that you are learning.
Interested Applicants can share their resume at sajal.somani[AT]karkinos[DOT]in with subject as "DevOps Engineer".
DockerKubernetesAmazon Web Services (AWS)PythonRequirements:
● Knowledge of building micro-services.
● Experience in managing cloud infrastructure with disaster recovery and security in
mind (AWS, GCP, Azure).
● Experience with High Availability clusters setup.
● Experience in creating alerting and monitoring strategies.
● Strong debugging skills.
● Experience with 0 downtime Continuous Delivery setup (Jenkins, AWS Code
Deploy, Team City, Go CD etc).
● Experience with Infrastructure as Code & Automation tools (Bash, Ansible,
Puppet, Chef, Terraform etc).
● Master of *nix systems, including working with docker, process & network
monitoring tools.
● Knowledge of monitoring tools like New Relic, App Dynamics etc.
● Experience with Messaging systems (RMQ, Kafka etc. ).
● Knowledge of DevOps Intelligence.
● Experience in setting up & driving DevOps initiatives in side the org Excellen.
● Good team player.
● Good to have experience in Kubernetes cluster management.
DockerKubernetesAmazon Web Services (AWS)Understanding of any scripting programming language.
Configuration and managing databases such as MySQL
Working knowledge of various tools, open-source technologies, and cloud services (AWS)
Implementing automation tools(Ansible, Jenkins) for deployment and provisioning IT infrastructure
Excellent troubleshooting of cloud systems.
Awareness of critical concepts in DevOps principles.
DockerKubernetes
Ruby on Rails (ROR)Role : DevOps Engineer
Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)
Location : Bangalore. 5 Days Working.
Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes
Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions
As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon