Join us on our exciting journey at Dataroid, the award-winning digital analytics and customer engagement platform!
Dataroid empowers leading brands to enhance every individual customer experience through deep customer insight, data science modelling, and omnichannel marketing.
As Turkey's fastest-growing data analytics platform, we embrace challenges, explore new technologies, and aim to impact industries globally by helping businesses harness data to create seamless customer experiences.
At Dataroid, our developers drive innovation, staying ahead of technology trends to deliver simple and seamless solutions. Already used by leading enterprises in finance, airlines, and retail, Dataroid reshapes the experience of over 100 million users.
Dataroid is in search of a DevOps Engineer who will be responsible for the overall health of multiple applications and their operating environments while interacting with development team members to design and deliver the applications with high availability and stability. When a problem occurs, you’ll be the person who analyzes and understands the problem and delegates it to the relevant people. You will apply your cloud and CI/CD skills working with cloud-based & on-prem resources to define standards and processes for the development and deployment of scalable, reliable applications. You will also be responsible for suggesting innovative solutions and carrying out proof of concepts such as automation of processes and improving integration points.
Qualifications & Experience
- BSc/MSc/PhD degree in Computer Science or a related field or equivalent work experience
- 1+ years of experience in DevOps Engineer or SRE role
- Proficiency in Unix/Linux environments such as Ubuntu and/or RHEL
- Understanding of large scale distributed systems and microservices architecture
- Experience with monitoring systems (Prometheus, Grafana, ELK Stack, collectord, splunk etc.)
- Experience with shell tools (vim, tmux, git, telnet, netcat, ssh, jq, docker-compose etc.)
- Programming and scripting skills (Shell, python, java, or nodejs)
- Experience with Docker, Kubernetes,
- Experience with Jenkins or other CI/CD automation build and deployment systems
- Proficiency with Git and Git branching models
Nice to have
- Experience with AWS, Azure, GCP, Alibaba, or Oracle Cloud
- Experience Ansible or similar IaC technologies
- Knowledge of messaging systems such as Kafka
- Knowledge of Relational and NoSQL data stores such as ElasticSearch, Postgres, Scylladb
- Knowledge of load balancers such as nginx, haproxy, F5 etc.
Why Dataroid?
🌟Great Compensation & Benefits: We provide an attractive compensation package, including private health insurance, company-supported pension plans, meal vouchers, commute assistance, remote work benefits, and a paid day off for your birthday.
💻Enhanced Workdays: Enjoy the flexibility of adaptable working hours. We offer online events, inspiring guest speakers, office snacks, a culture that limits unnecessary meetings, and many other perks designed to make your weekdays more enjoyable.
📚Growth & Learning: Your development is our priority, with access to premier online learning platforms like Udemy, digital libraries, and tailored training programs to support your career journey.
🚀Thriving Community: Be part of a vibrant and close-knit team that values connection. Enjoy happy hours, workshops, seasonal celebrations, and other events that bring us together.
🎯Open Dialogue: Our flat organizational structure fosters direct and transparent communication. Your ideas and feedback are always welcome, ensuring your voice is heard and valued.
FIND MORE ABOUT US 🔎
Our career page: https://www.dataroid.com/careers/
Our company page: https://www.dataroid.com/
We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.
Top Skills
What We Do
Dataroid is an enterprise-level digital analytics and customer engagement platform that helps enterprises to enhance every individual customer experience through deep customer insight, data science modelling, and omnichannel marketing