Senior DevOps Engineer

Come join us and be part of our exciting journey at Dataroid!

The award-winning digital analytics and customer engagement platform Dataroid empowers leading brands to better understand every individual customer experience and take real-time actions. Leveraging unified customer data platform, behavioral analytics, application monitoring, and data science modelling capabilities, Dataroid enables marketers, product owners, and technology professionals to gain real-time visibility of customer journeys and gather customer intelligence.

As Turkey’s most exciting and fast-growing data analytics platform, we welcome new challenges. We are curious to explore new technologies and ready to impact industries globally. We are on a mission to help businesses unleash the potential of digital with data and create seamless customer experiences across multiple channels. And we need a great team to do that!

At Dataroid, development is the heartbeat of our service offering. Our developers are technology enthusiasts who follow technology trends closely to be one step ahead all the time. Every day they use their technological know-how to create something new. By incorporating new technologies into product and service design, they help us create radically simple and seamless experiences. 

The position in a nutshell 

As a Senior DevOps Engineer, you 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 
• 5+ 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
• Experience with relational and NoSQL data stores such as ElasticSearch, Postgres, Scylladb, Druid etc.
• Experience Ansible or similar IaC technologies
• Knowledge of load balancers such as nginx, haproxy, F5 etc. 
• Proficiency with Git and Git branching models
• Familiarity with Kafka, Zookeeper, Nexus
• Experience with AWS, Azure, GCP, Alibaba, or Oracle Cloud

Nice to have

• Knowledge of messaging systems such as Kafka (+ zookeeper), RabbitMQ etc. 
• Knowledge of NoSQL databases such as Couchbase, MongoDB, DynamoDB etc. 
• Knowledge of ELK Stack (ElasticSearch, Logstash, Kibana) 
• In-Memory Cache Systems (Hazelcast, Redis, Memcache etc.) 
• Monitoring (Prometheus, Grafana, collectord, etc.) 
• Knowledge of load balancers such as nginx, haproxy etc. 
• Experience with shell tools (vim, tmux, git, telnet, netcat, ssh, jq, docker-compose etc.) 
• Knowledge of other cloud providers such as Azure, GCP, Alibaba Cloud etc. 
• Experience in Continuous Integration / Continuous Delivery tools and infrastructure automation (Terraform, CloudFormation etc.) 
• Code development in Python, Ruby, Go, Java, nodejs 
• Configuration Management tools such as Chef, Ansible, SaltStack, Puppet 
• Experience with AWS EC2, ECR, ALB, Route53, S3 etc. 

The enterprise level digital analytics and engagement platform Dataroid helps enterprises to enhance every individual customer experience through deep customer insight, data science modelling, and omnichannel marketing.

Dataroid is already used by medium to very large enterprises in financial services, airlines and retail to reshape the experience of over 100 million users.