DevOps / Platform Engineer (Guru Pay, UAB)

Darbdavys: Guru Pay, UAB
Miestas: Vilnius
Paskelbta: 2026-10-25
💶 Nuo 4000 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis

Kandidatuoti šaltinyje (cv.lt) →

Job description:
Guru Pay is an EMI based in Lithuania, with a mission to deliver personalized, boutique financial services to B2B, B2C, and C2B customers. We are highly ambitious - focusing on speed, security, and top-tier quality in everything we do.
We are looking for a DevOps / Platform Engineer to own and evolve the shared infrastructure and delivery platform used by our engineering teams.
You will work across AWS, Kubernetes, CI/CD, infrastructure as code, security, and observability, helping our engineers ship safely and efficiently while keeping our platform reliable, secure, and scalable.
This is a hands-on role working closely with engineering teams, Security, and IT Operations.
Own and evolve our AWS infrastructure, managed through Terraform across all environments.
Operate and improve Kubernetes, databases, caches, messaging, networking, IAM, and other shared platform services.
Own CI/CD pipelines and deployment standards, making it easy for teams to build, test, deploy, and roll back services safely.
Build reusable golden-path templates and self-service tooling for engineering teams.
Own platform monitoring, logging, tracing, dashboards, and alerting, keeping observability useful and actionable.
Improve platform reliability through SLOs, restore testing, disaster recovery, capacity planning, and incident follow-ups.
Manage platform security, including access, secrets, vulnerability scanning, patching, certificates, and least-privilege controls.
Participate in and lead infrastructure incidents as part of the on-call rotation.
Monitor cloud usage and costs and identify opportunities to improve efficiency.
Track delivery and reliability metrics and work with engineering teams to continuously improve our platform.
Our Stack
Cloud: AWS - EKS, RDS, ElastiCache, MemoryDB, Amazon MQ, OpenSearch, DynamoDB, Lambda, Redshift Serverless, S3, SES, ECR, Route 53
Infrastructure: Terraform, Docker, Kubernetes
Delivery: Azure DevOps Pipelines
Observability: Datadog, CloudWatch, Tempo, Fluent Bit
Security: GuardDuty, Trivy, IAM/IRSA, security groups
Automation: Bash, Python and/or Go
Requirements:
Strong hands-on experience with AWS and Terraform, including managing existing/brownfield infrastructure.
Strong experience with Kubernetes, Docker, and CI/CD. Experience with Azure DevOps Pipelines is a plus, but comparable tooling is fine.
Experience operating production infrastructure handling sensitive, financial, or personal data.
Experience operating databases and managed services, including RDS failover, proxying, backups, and restore testing.
Strong understanding of cloud networking, IAM, security, monitoring, and incident response.
Experience running and improving an observability stack.
Ability to automate infrastructure and operational tasks using Bash and Python or Go.
Comfortable handling production incidents and communicating infrastructure concepts clearly to developers.
Business-level communication fluency in English.
Nice to have
Experience…

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