Platform Engineer
Axi
| Company | Axi |
| Category | Engineering |
| Location | Bangalore |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Apr 2026 |
| Last verified | 8 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you do at Axi!
We are seeking an experienced Platform Engineer to join our Platform Development team. You will design, build, and run the internal platform that our product engineering teams depend on: secure, self-service Azure infrastructure delivered through GitOps and infrastructure as code, engineered for a 99.99% uptime target.
This is a hands-on engineering role with 7-10 years of experience expected. You will treat the platform as a product, owning its stability, performance, and running cost. Expect to spend your time automating away toil, shortening the path from commit to production, and making the platform both cheaper and more reliable quarter over quarter.
Your EDGE assignment/You will:
Build and operate our internal developer platform as a product, with paved paths, golden templates, and self-service capabilities for product teams
Design, implement, and maintain secure, scalable Azure infrastructure using Terraform
Own platform stability and availability against a 99.99% uptime target, including SLOs, error budgets, and capacity planning
Design for resilience: high availability, multi-zone deployments, graceful degradation, backup and disaster recovery, and regular failure testing
Drive cloud cost optimisation through rightsizing, autoscaling, reserved capacity, spot workloads, and removal of idle resources
Build cost visibility and accountability, tagging and attributing spend so teams can see and manage the cost of what they run
Run GitOps-based delivery on Kubernetes with FluxCD, keeping cluster state declarative, reviewable, and reproducible
Build and evolve Azure DevOps pipelines for reliable, low-friction deployments, including one-click releases, safe rollbacks, and parameterised builds
Package and standardise workloads with Docker and Kubernetes across environments
Improve observability across the platform with metrics, logs, traces, and actionable alerting so teams can see, measure, and debug their own services
Reduce operational noise: tune alerts, remove recurring failure modes, and run blameless post-incident reviews that lead to permanent fixes
Embed non-functional requirements such as security, performance, scalability, and cost into platform design by default rather than as an afterthought
Partner with product engineering teams to fold platform and operational concerns into design, build, and release
Provide Level 2/3 support for platform components, finding root causes and shipping permanent fixes
Continuously reduce manual work, cycle time, and operational overhead across the engineering organisation
Are you the one?
Experience
7-10 years of hands-on experience in platform engineering, infrastructure, or a closely related discipline.
Must-have skills
FluxCD, for GitOps-based continuous delivery on Kubernetes
Terraform, for infrastructure as code at scale
Azure cloud, including core services, networking, identity, and governance
Azure DevOps, including pipelines, repos, and release automation
Kubernetes, including deploying, operating, and troubleshooting production clusters
Docker, including container build, image hygiene, and runtime fundamentals
Running highly available production systems and holding availability targets such as 99.99%
Cloud cost management and optimisation on Azure