DevOps Engineer

NexGen Cloud Bangladesh
Remote
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AI Summary

DevOps Engineer responsible for ensuring the Hyperstack platform's smooth operation, automation, and observability. Key responsibilities include owning core DevOps engineering tasks, maintaining observability tooling, and supporting Kubernetes operations. The ideal candidate will have hands-on Kubernetes experience, strong automation and scripting skills, and a cross-functional mindset.

Key Highlights
Own core DevOps engineering tasks across the Hyperstack platform
Maintain and improve observability tooling
Support Kubernetes operations across two contexts
Key Responsibilities
Own core DevOps engineering tasks across the Hyperstack platform
Maintain and improve observability tooling
Support Kubernetes operations across two contexts
Act as a first responder for platform incidents
Build and improve internal tools consumed by other teams
Technical Skills Required
Kubernetes Prometheus Grafana Automation Scripting
Benefits & Perks
Competitive salary
Annual discretionary bonus scheme
Employee wellbeing benefits
25 days of holiday, plus public holidays
Fully remote working
Real ownership and autonomy
Broad scope
Greenfield opportunities
Clear career progression and growth opportunities
Nice to Have
Experience in a SaaS, cloud infrastructure or GPU/AI compute environment
Familiarity with GitOps workflows and release pipeline tooling
Exposure to OpenStack-based infrastructure or GPU cloud environments

Job Description


Location: Bangladesh

Department: DevOps / Platform Engineering

About Nexgen Cloud

NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world’s most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature.

We’re a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practise what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like.

THE ROLE: DevOps Engineer

This role exists to ensure the Hyperstack platform — including Hyperstack GPU Cloud, AI Studio and the Investor Portal — is kept running, automated and observable as it scales. As the DevOps team acts as a bridge across every function in the business, from Engineering and Product to Revenue Ops, Finance and Customer Experience, we need a capable engineer who can own automation, incident response, observability and internal tooling without waiting to be directed.

This is a role for someone who builds first and documents second — someone who finds a manual process and replaces it, who picks up a production incident and drives it to resolution, and who enjoys the visibility that comes from working across an entire business.

What You’ll Be Doing

Rather than a long checklist, here’s what success in this role looks like:

  • Own core DevOps engineering tasks across the Hyperstack platform: automation, incident response, release pipeline support and internal tooling — reducing manual burden and keeping the platform healthy as it scales.
  • Maintain and improve observability tooling (Prometheus, Grafana and the broader monitoring stack) to ensure platform health and early incident detection.
  • Support Kubernetes operations across two contexts: as a managed product sold to customers, and as the underlying infrastructure powering NexGen Cloud’s own platform.
  • Act as a first responder for platform incidents alongside the CX team — triaging issues, reviewing code, and confirming whether problems are bugs or expected behaviour.
  • Build and improve internal tools consumed by other teams including Revenue Ops, Finance, Engineering and CX — working closely with the full-stack engineer and release manager.
  • Identify and eliminate manual workload through automation and self-service tooling as the business continues to scale.
  • Collaborate across a globally distributed, remote-first team and communicate clearly with non-technical stakeholders.

About You

We’re more interested in how you think and work than in a perfect CV. You’ll likely come from a DevOps, Platform Engineering, SRE or Cloud Operations background and bring a combination of the following:

Essential

  • Hands-on Kubernetes experience in production — both managed/hosted K8s as a product and self-managed clusters.
  • Active experience with Prometheus, Grafana and related observability tooling; able to maintain and improve monitoring of a live platform.
  • Strong automation and scripting skills — able to build or improve tooling that reduces manual workload across multiple teams.
  • Proven incident response experience in live environments; comfortable being a first responder alongside non-technical colleagues.
  • Cross-functional mindset — comfortable building tools and processes that serve Engineering, CX, Revenue Ops and Finance without being siloed.

Nice to Have

  • Experience in a SaaS, cloud infrastructure or GPU/AI compute environment.
  • Familiarity with GitOps workflows and release pipeline tooling.
  • Exposure to OpenStack-based infrastructure or GPU cloud environments.
  • Experience working in a distributed, remote-first team across multiple time zones.

What We Offer

  • Competitive salary and annual discretionary bonus scheme.
  • Employee wellbeing benefits.
  • 25 days of holiday, plus public holidays.
  • Fully remote working — no office requirement, no geographic constraint.
  • Real ownership and autonomy, with the trust to take initiative and experiment.
  • Broad scope — this role touches every team in the business, giving you exposure well beyond a typical DevOps position.
  • Greenfield opportunities to improve tooling, automation and observability — not just maintenance.
  • Clear career progression and growth opportunities in a fast-growing company.
  • A collaborative, international culture built on trust, transparency and ownership.
  • The chance to work on a cutting-edge GPU cloud platform used for real AI, ML and HPC workloads — where Kubernetes is central to how the product is built and sold.

MORE INFORMATION

Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and exciting news from the neocloud space.

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