Position: DevOps engineer with DBA skills (AI/ML, Kubernetes, PostgreSQL)
Company: Dysnix
Experience required: 3y
English level: intermediate

🔹**Company**

Dysnix is a boutique company providing DevOps solutions delivery and cloud consulting services with 100% Senior and Architect teams emphasizing Kubernetes, AI/ML, Blockchain technologies. We cultivate secure, stable, well-tailored infrastructures for startups and enterprises and infuse industries with tech innovations

In 2021 Dysnix was named as TOP Global Cloud Consulting Company by Clutch providing outsourced IT solutions. In 2022 we became members of the Linux Foundation and CNCF (Cloud Native Computing Foundation). We are proud to enforce the largest open-source community with our participation.


🔹**Project Description**

The customer’s company develops a product that helps industrial companies to detect anomalies in reading from hundreds and thousands of IoT sensors by applying the latest cutting-edge AI, Big Data, and Machine Learning technologies. This SaaS company is a US-based startup, it is well-funded by US VC funds, has developed an MVP prototype for several pilot enterprise customers from the industrial manufacturing and chemical industry, and is now expanding its product offering to other customer segments.


🔹**Team**

The international team is geographically distributed across the US, Europe, and Asia. The core team is located in the US. This role will involve close collaboration with backend development and DevOps teams. 


🔹**Technical benefits of the position**

- Participate in product development that will be integrated with world-class companies
- Learn the latest AI, Big Data, and Machine Learning technologies
- Directly contribute the development of a completely new solution which is the most exciting part
- Become a member of a highly collaborative and experienced team in the innovative and fast-growing IoT industry. You will work closely with Senior DevOps architects and engineers as well as developers
- Get hands-on experience with Kubernetes, Microsoft Azure cloud environments, and related tools
- Optionally, you can also get an additional specialization as a DevOps engineer and continue to work with us in this role in the future.


🔹**Responsibilities**

- Implementation and maintenance of cloud Kubernetes infrastructure using automation tools like Terraform, Terragrunt, Helm, Helmfile
- Implementation, tuning, and architectural design of partitioned PostgreSQL databases using the TimescaleDB extension. The engineer will work within the rapid growth of the environment and must anticipate, and respond effectively to the needs of the project as they emerge
- Creation and administration of the PostgreSQL databases in multi node setup environments (including Docker and Kubernetes)
- Tuning and optimization of SQL performance to scale according to the increasing requirements. 
- Monitoring and automation of databases
- Upgrade of databases versions, applying fixes
- Ensuring appropriate storage and memory are available for the DBMS

🔹**Job requirements**

- 5+ years of relevant experience
- Experience with Kubernetes
- Hands-on experience with major cloud providers (AWS, GCP, Azure)
- Practical experience with Infrastructure as Code tools like Terraform
- Experience in PostgreSQL 9.6 and newer versions
- Knowledge of different types of database replication and partitioning 
- Strong understanding of command line and server administration
- Strong knowledge of Linux
- Knowledge of Bash, Python or other scripting languages
- English level B1+, practical experience is important

🔹**Desirable additional skills**

- Knowledge of TimescaleDB 
- Experience in database architecture, logical and physical design
- Experience in database performance optimization 
- Knowledge of other RDMBS or NoSQL 
- Knowledge of big data solutions and ETL/BI tooling 
- Microsoft Azure cloud experience

🔹**What's in it for you?**

- A competitive base salary
- The chance to get a permanent full-time position in a distributed team with a flexible work schedule
- Lack of micromanagement
- Paid vacation and sick days
- The fast and flexible hiring process 

🔹**Video**
There is an opportunity to familiarize yourself with the video of our co-founder and СTO Daniel Yavorovych by following the links.


Don't hesitate to share your CV with us, you're most welcome!