Altenar is an international IT company founded in 2011, with offices in Malta, Greece, Georgia, the Isle of Man, and Uruguay. We specialize in high-load software development and provide one of the best technology solutions for the iGaming industry worldwide.
Job Description
The NoSQL Datastore Engineer / Performance Engineer shall work closely with various Technology teams to deliver reliable, scalable and serviceable technical environments that implement Altenar’s product portfolio. The role shall be highly specialist and focused on system performance. The right candidate will be passionate about measurement and driven by performance evidence / system data in their decision-making. The candidate shall be comfortable with statistics, hypothesis testing, and able to digest and reference specialist system architecture documentation to tune our datastores and data structures. The role shall work on continuous system performance improvement independently, but will also participate in Problem Analysis exercises in the normal course of operation.
The typical activities and responsibilities expected of this team are:
- Collaborate formally with software developers to review the datastore client/driver configuration
- Review query design and performance - C# focus
- Review datastore cluster configurations for availability, scalability and latency
- Drive configuration changes with the Automation team to implement improvements
- Plan for datastore server/cluster upgrades including sandbox testing to prove performance suitability
- Participate in load-test planning and measurement
- Participate in software architecture design process especially by consulting other software developers on the applicable datastore use paradigms
- Implement and maintain security measures to protect data integrity
- Stay current with industry trends and best practices
The qualities and skills expected in this role are:
- Bachelor's degree in Computer Science or related field
- Comfortable reading and interpreting code and algorithms written in one of the main 3GLs
- Knowledgeable of the architecture, deployment method, operation, maintenance and tuning of any of the datastores mentioned later
- Proven experience with the relevant paradigms associated with the use of the specific datastores that you are an expert in (ex: event-driven architectures, pub/sub, fan-out queues, etc)
- Comfortable working with our existing metrics / measurement / telemetry management systems to acquire, visualise and alert on performance metrics that you identify and/or design.
- Comfortable with statistical concepts and analysis (percentiles, standard deviation, distribution curves, etc)
- Prior experience in high-volume, scale-out environments as a performance engineer is a distinguishing factor
- Knowledgeable in the optimization/tuning of cluster configuration and database structures (and, where relevant, indices/hashmaps)
- Excellent troubleshooting and problem-solving skills
- Comfortable with Linux-based operating systems and the relationship to hardware performance (ex: storage performance, network I/O)
- Relevant technical certifications are strongly preferred
- Comfort with Ansible/Terraform/Git-based workflows is considered a plus
We are looking for experience in any number of these domains and will offer competitive roles to establish a solid core of expertise and support in all areas:
Redis Open-source:
- Specifically expertise in high-availability, and scale-out using Redis Sentinel and/or Redis Cluster, as well as performance monitoring
MongoDB:
- Optimize database performance through indexing, tuning, and clustering
- Collaborate with developers and other teams to ensure proper integration of MongoDB databases
- Strong background in database architecture, data modeling, and performance tuning
- Troubleshoot and resolve database-related issues
- Handling MongoDB at scale
Kafka:
- Use of schema registries
- Experience with data pipelines and the organization of topics and partitions
- Durability, high-availability, recovery
- Having worked with Kafka Streams, KSQL, and Kafka Connect is a bonus
RabbitMQ:
- Exchange and queue configuration and provisioning
- External consumer governance
Elasticsearch / Opensearch:
- Paradigms for use in distributed, microservice architectures
- Use at scale in a log-based alerting context
Benefits:
- Stable and flexible working environment
- Career growth opportunity
- Training and professional development events
- Health insurance for employees and close family members
- Teamwork and accountability
- Sense of community and defined company culture
- International work environment
- Diverse workplace
- Gym reimbursement after successfully passing probationary period