Cloud Software Engineer

Software Engineer Mid-level (L4 equivalent) 2-5 years

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About the role

You will build and operate the cloud infrastructure that every product team depends on, working at the intersection of software engineering and systems operations. Cloud engineers here treat infrastructure as software: versioned, tested, peer-reviewed, and deployed through pipelines like any other code. You will design landing zones, build deployment platforms, automate everything worth automating, and keep the cloud bill proportional to growth. Your customers are the engineers shipping product, and your success is measured in their velocity, the platform's reliability, and costs that stay under control as the company scales. You will also build the cost-attribution dashboards that show every team what it spends, since cloud bills grow silently and engineers optimize what they can see.

What you will achieve

Build infrastructure as code for core cloud environments using Terraform, with modular, tested, reusable configurations that product teams adopt confidently
Deliver deployment platforms including Kubernetes clusters and CI/CD pipelines that let product teams ship independently, safely, and quickly
Reduce cloud costs measurably through rightsizing, autoscaling policies, spot instance usage, and storage lifecycle management backed by billing data
Improve platform reliability with multi-AZ design, backup strategies, disaster recovery testing, and clear operational runbooks for every critical system
Cut developer toil through self-service tooling: environment provisioning, secret management, and database setup without ticket queues or waiting

What you will bring

Must-haves

2 to 5 years working with public cloud platforms (AWS preferred, GCP acceptable) supporting production workloads
Strong infrastructure-as-code skills with Terraform: module design, remote state management, and safe change workflows with plan reviews
Experience with Kubernetes: cluster operations, workload deployment, networking configuration, and production troubleshooting
Understanding of cloud networking fundamentals: VPCs, subnets, routing tables, load balancers, and DNS
Familiarity with IAM, security groups, and least-privilege access design applied consistently across cloud resources
Scripting and automation skills in Python or Bash for operational tooling, glue code, and runbook automation
BS in Computer Science or equivalent experience

Nice-to-haves

Cloud certifications such as AWS Solutions Architect or CKA demonstrating structured, validated knowledge
Experience with platform engineering: internal developer portals, golden paths, and paved-road architectures
Knowledge of cloud cost management tooling and FinOps practices applied at organizational scale
Familiarity with GitOps workflows using ArgoCD or Flux for declarative, auditable deployments