Software Engineer II, Backend (Online Storage)
New
A
AffirmFinancial technology
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.Full-TimeMiddle
SalaryCAN base pay range per year: $133,000 - $183,000 $CAD.
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Job Details
- Experience
- 2+ years of experience as a software engineer.
- Required Skills
- AWSPythonKotlinKubernetesMySQLRedisTerraformDistributed Systems
Requirements
- Have 2+ years of experience as a software engineer.
- Have experience designing, developing, and launching backend systems.
- Be proficient in Python or Kotlin.
- Be familiar with distributed systems and technologies such as AWS, MySQL, Redis/Valkey, Terraform, and Kubernetes.
- Have production experience with Redis, Valkey, or a comparable in-memory store.
- Understand replication, persistence, cluster mode, eviction, and failure modes.
- Be able to reason about caching workloads, including hit rates, tail latency, hot keys, stampedes, and consistency with the source of truth.
- Have experience automating infrastructure operations with Terraform, Kubernetes, and Python.
- Have carried on-call for a stateful service and be able to take incidents from metrics to root cause and durable fix.
- Write clear, well-tested, extensible code and be comfortable navigating large codebases, debugging others’ code, and reviewing code.
Responsibilities
- Build and scale cache services on Redis and Valkey, owning cluster migrations end to end and delivering them in phases.
- Plan capacity and shards, configure failover and replication, upgrade cache clusters, and stage rollouts with rollback paths.
- Automate provisioning, configuration changes, and access through audited self-service workflows.
- Define SLOs and build alerting for hot keys, memory pressure, and replication lag.
- Use on-call findings to reduce keep-the-lights-on work and improve production operations.
- Partner with client teams on key design, TTLs, consistency, and client timeouts.
- Feed fleet data into the team roadmap and collaborate with product management, design, and analytics on decisions and trade-offs.
- Create and monitor metrics, escalate operational issues, and support on-call efforts.
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