Aiven
A Senior Software Engineer, Analytics at Aiven develops cloud operations platforms and managed analytics offerings, leveraging open-source technologies like PostgreSQL to bridge transactional and analytical processing. The role focuses on automating processes, optimizing query performance for OLTP and OLAP workloads, and mentoring engineers while maintaining high-quality code standards.
Headquarters
Helsinki, Southwest Finland, Finland
Company Size
201-500 employees
Founded
2016
Aiven is an AI-ready open source data platform that provides fully managed open-source data technologies across major cloud providers. It combines streaming, storage, and serving services — such as Kafka, PostgreSQL, ClickHouse, OpenSearch, Redis, and observability tools — to rapidly stream, store and serve data for analytics, applications, and machine learning. Aiven emphasizes simplicity, security, high availability, and multi‑cloud portability, handling provisioning, scaling, backups, and maintenance. Organizations use Aiven to accelerate data and AI projects without operating their own infrastructure while retaining open-choice software and cloud flexibility.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Aiven.
13% above the average for this role
Aiven Builds Fast-Growing Open-Source Managed Cloud Services Subscription Business
Jun 14, 2021
Lead deep work on PostgreSQL internals (index access methods, operator classes) to design, implement and evolve indexing strategies for largescale unstructured / semi-structured data. Extend PostgreSQL's query engine by analyzing execution plans, introducing BSON aware operators, custom scan nodes and new cursor/continuation semantics to match NoSQL query needs and ensure efficient execution at scale. Design and tune index pruning strategies that keep large tables and indexes lean without regressing query performance. Collaborate across the PostgreSQL, MongoDB, and Linux Foundation hosted DocumentDB communities to share vision, align on roadmap priorities, and contribute features that advance the open source DocumentDB engine. Profile and analyze distributed system to identify performance bottlenecks. Conduct and participate in design/code reviews and help shape and steer the team coding guidelines. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Experience with internals of PostgreSQL or similar Enterprise Database Management system, including Storage Engine and High Availability. Experience building Distributed Systems with strong guarantees. 2+ years of experience in designing, developing and shipping system level features in a large-scale cloud application or a backend distributed system. 2+ years of experience developing and maintaining high-performance libraries or software engineering with a focus on large distributed systems involving concurrency, storage systems or databases.
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