DevOps Engineer
Spektr provides an AI-powered platform.
Funding history
Investors
About Spektr
Spektr offers a complete compliance operations platform combining AI agents and configurable processes. Its AI agents execute tasks such as KYB, document review, ownership mapping, source-of-funds analysis, website checks, and false-positive reduction, while connected workflows collect data, trigger checks, update records, and automate follow-up actions across onboarding, monitoring, risk, remediation, enrichment, questionnaires, and scoring. Spektr serves fintechs, enterprise banks, and other financial institutions, with case studies involving payments, crypto-wallet, digital banking, leasing, and EV-charging businesses.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and maintain AWS infrastructure through infrastructure-as-code, support EKS clusters and microservices, and improve deployment pipelines. You will work with GitOps workflows, contribute to monitoring and alerting, troubleshoot production issues, and apply cloud-security practices alongside backend and security stakeholders.
Requirements
- 1–3 years of DevOps, SRE, platform, or backend engineering experience, or equivalent hands-on experience
- Working knowledge of AWS and Kubernetes
- Hands-on experience with Terraform or another infrastructure-as-code tool
- Experience with CI/CD pipelines, ideally GitHub Actions
- Comfort with Linux, Git, and a scripting language such as Bash or Python
- Ability to communicate technical incidents clearly
Responsibilities
- Build and maintain AWS infrastructure using Terraform and Terragrunt
- Support EKS clusters and microservices deployments
- Build and improve CI/CD pipelines using GitHub Actions
- Work with ArgoCD-driven GitOps workflows
- Contribute to monitoring, alerting, and dashboards
- Troubleshoot infrastructure and cluster-health issues
- Apply cloud-security best practices with AWS-native tooling
Hiring Process
Intro call with the Talent team (30 minutes) → technical interview (30 minutes) → technical interview (60 minutes)