Position: DevOps to the team
Company: MoveUp
Experience required: 5y
Category: DevOps
English level: upper
Published: 2022-12-01T00:00:00+02:00

The company is a cloud-native observability platform providing unified monitoring, troubleshooting, and security for modern DevOps teams and engineers. We empower engineers to find and resolve production issues faster by offering the world’s most popular and familiar open-source monitoring tools as an Enterprise-grade service.
As a DevOps Engineer your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to our customers. You will be responsible for the creation, monitoring, and automation of services’ cloud infrastructure and pipelines, while enabling and collaborating with product teams to efficiently deliver high-quality projects.
You will have endless opportunities for architecture design and implementation within AWS and Azure cloud infrastructures in a largely bottom-up and healthy debate team culture.
As a DevOps Engineer, you will help us in providing the highest quality full-stack management solution for companies all over the world. Manage super-large data ingestion and analytics pipeline running on AWS using cutting-edge technologies such as Kubernetes, ElasticSearch, Apache Kafka, Multi-Cloud Deployments, M3DB, etc.


Responsibilities

Work closely with developers in building analysis tools and production automation tools;
Work with multiple AWS and Azure services;
Manage, monitor, scale, and troubleshoot a distributed highly scalable, highly available, customer-facing software stack;
Participate in on-call rotation.


Requirements

3+ years of experience as a DevOps Engineer in a high throughput, business-critical SaaS environment;
Extensive experience working with AWS and Azure;
Extensive experience with containerized environments and microservices based on Docker, K8s, Helm;
Experience with IaaC, e.g. Terraform, CloudFormation;
Team Player & Strong communication skills.


Advantages

Experience with logging and monitoring systems based ElasticSearch, Kibana, Prometheus, Grafana, Jaeger;
Scripting and Development (GO, Python, Bash, Java, Kotlin, Node);
Experience with Kafka;
Configuration management such as Puppet, Ansible;
AWS MSK, EKS, AI Stack;
CI/CD (especially ArgoCD, GitHub Actions and flows, Jenkins).