The fastest path to value with AI
Senior Database Engineer
Location
Ukraine
Posted
133 days ago
Salary
0
Seniority
Senior
Job Description
Senior Database Engineer
DataRobot
• Design, implement, and maintain database infrastructure using StatefulSets, Operators, and Helm charts to ensure databases are reliable, self-healing, and scalable. • Own the deployment lifecycle for database clusters by managing version control for Helm charts and configuration templates. • Support and administer production database systems by proactively instrumenting and monitoring performance, security, and availability within the containerized environment. • Perform zero-downtime upgrades and migrations for major and minor releases, developing and maintaining Helm hooks and custom scripts to automate complex stateful operations. • Manage and optimize performance for backend data stores, ensuring data consistency and integrity across pod life cycles. • Develop and maintain automation tools and scripts (Bash, Python) specifically focused on simplifying Kubernetes management tasks, such as provisioning users/secrets and monitoring cluster state.
Job Requirements
- 4+ years of experience managing large-scale, high-availability database systems (PostgreSQL / MongoDB)
- Python or Bash automation scripting
- Nice to have: Experience with Kubernetes & Helm
- Experience with advanced PostgreSQL HA concepts (e.g., streaming replication, Repmgr/Patroni) and/or MongoDB sharding and replication
- Experience with AWS, GCP, or Azure
- Experience in using version control systems, configuration management tools and IaaC such as Terraform, CloudFormation
- Experience using database tools such as pgAdmin, Pgbench, Robo3t, Studio3t, MongoDB Ops Manager and Mongo mirror
- Experience with prometheus, cloudwatch and monitoring tools both within kubernetes and external cloud managed infrastructure
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP) and more!
Related Guides
Related Job Pages
More Backend Engineer Jobs
• Join the team responsible for designing, developing, and deploying our flagship SaaS product, WEX FSM. • Build robust, scalable APIs that enhance our product and empower partners. • Partner with Product Managers to translate business requirements into technical reality. • Serve as a mentor to fellow engineers and enforce coding standards through rigorous code reviews. • Proactively reduce technical debt to keep our platform healthy and scalable.
Senior Backend Developer
Genesis TechDo you want to influence lives of millions of people worldwide? Join us!
• Побудувати надійну, масштабовану та швидку backend-архітектуру для AI-продукту, яка дозволить: • Обробляти великі обсяги даних і працювати зі складними ML-модулями • Забезпечити 99.9% uptime • Швидко запускати нові інструменти і фічі для клієнтів • Стати драйвером масштабування backend-частини продукт • Проєктування архітектури backend-сервісів (modular, scalable, fault-tolerant) • Розробка core-функціоналу : API, сервіси, інтеграції • Розробка та оптимізація data-pipelines (взаємодія з ML-сервісами) • Робота з базами даних : проєктування схем, оптимізація queries, performance tuning • Інтеграція зовнішніх API, сервісів та AI-модулів • Код-рев'ю та менторство молодших розробників • Розгортання сервісів (CI/CD) , участь в DevOps-процесах. • Забезпечення безпеки, логування, моніторингу • Технічне рішення складних задач, участь у продуктових плануваннях
Senior Backend Software Engineer, Data/ETL
RespondologyA social marketer's best friend: AI solutions for moderating unwanted content, surfacing insights, & engaging at scale
• Design and build data ingestion pipelines integrating with dozens of external sources (social platforms, third-party APIs, web scrapers) • Architect ETL workflows using Airflow and Kafka to process high-volume data streams (millions of records daily) • Collaborate with AI/ML engineers to ensure data quality and availability for Agentic RAG pipelines • Build and optimize multi-store data architecture: vector databases (Pinecone), relational databases (Postgres), and search engines (OpenSearch) • Develop and maintain integrations with social media platforms (Meta, LinkedIn, TikTok, X/Twitter) handling webhook ingestion and API polling • Optimize data freshness, throughput, and reliability across distributed systems • Participate in code reviews and contribute to backend services (FastAPI/Python, occasional Ruby on Rails)
• Collaborate with the Product team on our client business intelligence portal • Enhance the user experience of our state-of-the-art advertising CMS • Work with the data team to make our ad campaigns run more effectively and efficiently • Improve the user experience of our ads across our suite of web and mobile applications
