ServiceMax

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

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.

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).

Responsibilities:

• Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
• Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
• Creating the Architecture Diagrams and documentation for various pieces
• Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response

Requirements:

• 3 - 5 years of professional experience as a DevOps / System Engineer.
• Strong knowledge in Systems Administration & troubleshooting skills with Linux.
• Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
• Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
• Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
• Experience in Infrastructure as code development using Terraform.
• Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
• Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
• Experience with GIT Version Control Software.
• Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
• Strong interpersonal and communication skills; ability to work in a team environment.

• AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
• Setup and management of a Kubernetes cluster, including writing Docker files.
• Experience working in and advocating for agile environments.
• Knowledge in Microservice architecture.

Must Have skills :

Experience in Linux Administration

Experience in building, deploying, and monitoring distributed apps using container systems (Docker) and container orchestration (Kubernetes, EKS)

Ability to read and understand code (Java / Python / R / Scala)

Experience AWS and tools

Nice to have skills:

Experience in SAS Viya administration

Experience managing large Big Data clusters

Experience in Big Data tools like Hue, Hive, Spark, Jupyter, SAS and R-Studio

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.