Our award-winning technology powers conversations with customers for some of the world’s largest enterprises. We believe that combining the human touch with technology is the best way to create amazing customer experiences. When human abilities such as problem-solving, creative thinking and relationship building are enhanced with technology... magical moments happen.
The work
- At Glia, the data team (named Cerebro) is at the heart of all things data. You will be working with the team on establishing data contracts, designing ingestion pipelines- and optimal warehousing solutions
- Participating in hands-on (systems design, PR reviews, smaller implementations) work within the team
- Leading an established team of (currently) 6 engineers, partnering with the PM and other product teams, analysts and stakeholders to bring business-critical data solutions to life
- Own the vision and direction for Glia’s data architecture built on Snowflake, Redshift, Druid, S3 and dbt
- Leading strategic long-term initiatives and owning architectural roadmaps
- Actively supporting the growth of your team members
- Leading operational readiness improvements (observability, incident playbooks, tooling) within the team
The team’s setup
Team Cerebro is a dynamic cross-functional team that brings together skilled Engineers and product Managers and collaborates closely with Data Analysts to drive innovation and deliver high-impact solutions.
We have members in Tallinn and Tartu, Estonia, Poland, and Portugal, so our processes are optimized for remote collaboration.
We work in the Eastern European time zone (EET/EEST).
Our current tech stack
- Coding languages: Elixir, Ruby, SQL, Python
- Current Persistence Solutions: Amazon RDS for PostgreSQL, Apache Druid, Snowflake, S3
- Monitoring: DataDog
- CI/CD: Jenkins
- Infrastructure as Code: Terraform, Ansible
- Other: AWS services, Kafka, DBT, Amazon Quicksight, GitHub
Note: We are constantly evolving our tech stack to ensure the usage of the right tools for specific needs, and you will be part of the process of choosing new technologies.
Candidate requirements
- Experienced Software or Data Engineer at the senior level
- Experience working with distributed systems at scale
- Working experience as a Lead Engineer, Technical Lead or Engineering Manager
- Proactive, collaborative, open-minded and solution-oriented
- Production-first mentality
- Ability to inspire and influence
- Proficiency in either Redshift, Snowflake, dbt, Druid, Kafka or equivalent big data tech. (It's way more about the concepts you're confident in than the specific tech stack experience you have)
- Programming languages - we are a Ruby & Elixir shop to a large degree, but we welcome engineers with all backgrounds
Benefits
- Competitive salary
- Professional development support (trainings, courses, conferences, books, etc)
- Access to all the latest tools and equipment you’ll need
- Sports compensation, reimbursement for therapy, counseling sessions
- Team events: annual employee awards, internal hackathons, and a dozen cool events from cooking to the Glia olympic games :)
- Diversity: 25 countries represented
*Glia is an equal-opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
The Glia Talent Acquisition team is using only glia.com mailboxes for coordinating interviews, providing updates and sending documents. Our hiring process involves an introduction, and practical and team interviews, followed by a decision and offer. For more information, visit our Recruitment Privacy Notice page or contact our talent team via [email protected]
*Want to know more about working at Glia? Check our Glia's Career FAQs
Top Skills
What We Do
Glia enables companies to deliver an in-person customer experience online. With a single line of code, companies can identify and engage their highest-value web visitors through video, voice, chat, and CoBrowsing to increase online conversions and improve customer support.
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