Lead - DevOps at Classplus · Noida · 5 - 8 years · Raised funding · Posted 16 Dec 2022
Docker
Kubernetes
Amazon Web Services (AWS)
Javascript
Go Programming (Golang)
Python
Java
C++
RubyClassplus is India's largest B2B ed-tech start-up, enabling 1 Lac+ educators and content creators to create their digital identity with their own branded apps. Starting in 2018, we have grown more than 10x in the last year, into India's fastest-growing video learning platform.
Over the years, marquee investors like Tiger Global, Surge, GSV Ventures, Blume, Falcon, Capital, RTP Global, and Chimera Ventures have supported our vision. Thanks to our awesome and dedicated team, we achieved a major milestone in March this year when we secured a “Series-D” funding.
Now as we go global, we are super excited to have new folks on board who can take the rocketship higher🚀. Do you think you have what it takes to help us achieve this? Find Out Below!
What will you do?
• Define the overall process, which includes building a team for DevOps activities and ensuring that infrastructure changes are reviewed from an architecture and security perspective
• Create standardized tooling and templates for development teams to create CI/CD pipelines
• Ensure infrastructure is created and maintained using terraform
• Work with various stakeholders to design and implement infrastructure changes to support new feature sets in various product lines.
• Maintain transparency and clear visibility of costs associated with various product verticals, environments and work with stakeholders to plan for optimization and implementation
• Spearhead continuous experimenting and innovating initiatives to optimize the infrastructure in terms of uptime, availability, latency and costs
You should apply, if you
1. Are a seasoned Veteran: Have managed infrastructure at scale running web apps, microservices, and data pipelines using tools and languages like JavaScript(NodeJS), Go, Python, Java, Erlang, Elixir, C++ or Ruby (experience in any one of them is enough)
2. Are a Mr. Perfectionist: You have a strong bias for automation and taking the time to think about the right way to solve a problem versus quick fixes or band-aids.
3. Bring your A-Game: Have hands-on experience and ability to design/implement infrastructure with GCP services like Compute, Database, Storage, Load Balancers, API Gateway, Service Mesh, Firewalls, Message Brokers, Monitoring, Logging and experience in setting up backups, patching and DR planning
4. Are up with the times: Have expertise in one or more cloud platforms (Amazon WebServices or Google Cloud Platform or Microsoft Azure), and have experience in creating and managing infrastructure completely through Terraform kind of tool
5. Have it all on your fingertips: Have experience building CI/CD pipeline using Jenkins, Docker for applications majorly running on Kubernetes. Hands-on experience in managing and troubleshooting applications running on K8s
6. Have nailed the data storage game: Good knowledge of Relational and NoSQL databases (MySQL,Mongo, BigQuery, Cassandra…)
7. Bring that extra zing: Have the ability to program/script is and strong fundamentals in Linux and Networking.
8. Know your toys: Have a good understanding of Microservices architecture, Big Data technologies and experience with highly available distributed systems, scaling data store technologies, and creating multi-tenant and self hosted environments, that’s a plus
Being Part of the Clan
At Classplus, you’re not an “employee” but a part of our “Clan”. So, you can forget about being bound by the clock as long as you’re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is the perfect work vibe you’ve been looking for!
It doesn’t matter how long your journey has been or your position in the hierarchy (we don’t do Sirs and Ma’ams); you’ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the Doers! ✊🏼❤️
Are you a go-getter with the chops to nail what you do? Then this is the place for you.
Shubham Vishwakarma
Full Stack Developer - Averlon
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.
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- Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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Key Responsibilities :
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- Hands-on experience with Kubernetes and/or OpenShift.
- Cloud experience with AWS and/or Microsoft Azure.
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Amazon Web Services (AWS)The Role
As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that
keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and
observability that let a small, fast-moving team ship confidently — and you'll keep our AI and
data workloads reliable and affordable at scale.
This is a hands-on role with real ownership: you won't be maintaining someone else's setup,
you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make
deployment boring, incidents rare, and scaling a non-event. ---
What You'll Own
**CI/CD & developer experience**
- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with
confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible
automated testing, rollbacks, and release controls.
**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or
similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and
resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch
processing for the speech pipeline.
**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting,
on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and
processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in
transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security
requirements) for a product that handles sensitive customer conversations.
**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability
and spend. ---
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production
systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and
Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI,
Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong
automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog,
OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team.
Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch
pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data
pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud
ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. ---
Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real
scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data,
and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon