StockX | Platform Engineer | bangalore

3 weeks ago

bangalore, India StockX Full time

Why you’ll love this role

● StockX Platform Engineering team has built a world-class foundation on which all StockX

Engineering depends. As a member of the Platform Engineering team, you will build, maintain,

and improve this platform; working with Engineering Teams, IT, and Security to discover,

design, and implement new technologies and solutions.

● Platform Engineering team's mission is to build and operate foundational components which

enable engineering teams to rapidly deliver robust, production-ready services.

● You'll be building tools that empower all engineers (including PE team) to run operationally

excellent services. This is a unique role where you'll also get to work on infrastructure vertical aswell.

● We use cutting-edge tools and services like Gloo, EKS, LaunchDarkly, Terraform, Datadog, and plethora of AWS services to build resilient and scalable platforms that accommodate our rapid growth.

● As software engineer in the team, you will be empowered to take ownership of technology

decisions and solutions while playing a pivotal role in establishing a successful engineering

culture at a fast-growing company.

● Decision making ownership and clear OKRs to ensure success

● If you're a curious engineer, who loves solving problems, wearing multiple hats, and learning

new things, join us

● Position to be based in Bangalore with hybrid in office/WFH


What you’ll do

Responsibilities include but not limited to:

● Research and implement cutting edge technology that can be applied to handle massive scale

and collaborate with engineers throughout StockX to ensure we are using standard

methodologies to build scalable, secure, and operationally sound systems.

● Take responsibility for the performance and uptime of the services owned by the team by

collecting metrics, participating in on-call rotations, monitoring production systems, debugging

issues as they come up, and responding with a sense of urgency.

● Work on projects and implementations around DevOps, SRE, Cloud Architecture etc.

● Help define the way engineers at StockX contribute to a robust, cohesive, low-latency API.

● Work autonomously and within loosely defined requirements.

● Work with other engineering teams to identify needs, improvements, and opportunities.

● Build tooling to allow teams to automate routine cloud deployment, administration, and

monitoring tasks.

● Mentor other software engineers to help bolster overall team competency.

● Work with engineers to build standard local/non-production environments for systems across

the organization to enable expedited development and testing.


About you

● Software Engineer: Overall, 3-5 years of relevant experience.

● Strong experience with one or more languages used by the team (Typescript/JavaScript/Node.js,

GoLang) or equivalent experience in another language and a willingness to learn.

● Extensive implementation experience of various AWS services (EKS, RDS, EC2, S3, IAM,

CloudTrail, AWS Organizations, Elasticache etc.)

● Excellent working knowledge on Kubernetes, docker, helm.

● Experience in developing and operating CI and CD pipelines (using Harness, Circle-CI, Jenkins,

GitHub Actions, GHAS, Helm, etc.) to automate the delivery of working code to production.

● Experience with Infrastructure as Code tools, preferably terraform.

● Experience in managing any RDS Database from database and query optimizations perspective.

● You have built highly resilient and scalable services.

● Possess a strong understanding of what makes a system scalable and how to avoid future

bottlenecks.

● Experience with most of these technologies and concepts:

○ Languages/Ecosystems:

■ NodeJS, and related build systems

■ Golang, and related build systems

■ Java/Kotlin/JVM

■ Bash

■ Linux

■ Docker

■ Kafka

■ Terraform

○ CI tooling:

■ CircleCI

■ GitHub Actions

■ Alternatively, deep experience with another CI system/tooling

○ CD tooling:

■ Kubernetes

■ Helm

■ Continuous Delivery/Deployment practices

■ Multi-Account AWS Organizations

■ DataDog or equivalent observability tooling

■ Test Driven Development

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