Build and own full-stack features for Sentry’s Size Analysis and Snapshots products, from backend pipelines to frontend UI, ensuring efficient handling of large mobile build artifacts and visual diffing.
Compensation
We are obliged by law to quote the minimum wage of EUR 60,844,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The salary that Sentry offers you is adjusted to the current market situation and will be above the IT-KV.
Responsibilities
Build and tune backend services and task-based pipelines that ingest, analyze and compare builds
Extend product features end-to-end and propose further development
Own GitHub integration end-to-end, including PR status checks and webhooks
Ship frontend features such as treemaps, build comparisons and diff viewers
Deploy across regions, monitor metrics, logging, and handle on-call duties
employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage)
As a Silicon Architecture Graduate Intern, you will contribute to the definition and architecture of cutting‑edge silicon solutions, including hardware, firmware, and platform specifications.
Compensation
Annual Salary Range for jobs which could be performed in the US: $105,698.00-105,702.00 USD
Responsibilities
Assist in defining silicon architecture specifications based on product requirements and feature integration.
Support modeling and simulation tasks to evaluate performance, power, and trade‑offs for architectural decisions.
Collaborate with architects, design engineers, and validation teams to ensure feasibility and alignment with product goals.
Contribute to the development of high‑level models and tools for architectural analysis.
Explore GPU concepts such as SIMT, parallelism, and cache hierarchies to guide architectural improvements.
Design, implement, and maintain low-level driver abstractions and communication primitives for diverse accelerator hardware, ensuring high performance and reliability across NVIDIA, AMD, Apple Silicon, and emerging accelerators.
Locations (3)
United States
Canada
Los Altos, California, United States
Compensation
The estimated base salary range for this role to be performed in the US, regardless of the state, is $148,000.00–$270,000.00 USD.
Responsibilities
Implement and extend core driver abstractions across diverse hardware backends
Contribute to multi-accelerator and multi-node communication and collectives primitives
Improve diagnostics and error reporting across the asynchronous execution stack
Partner with peer teams to build and refine surfaces they consume
Participate in design discussions, code reviews, and collaborative software development
Lead and contribute to core infrastructure and shared functionality for Elasticsearch, ensuring performance, maintainability, and security across cloud, serverless, and on-premise deployments.
Locations (4)
Seattle, Washington, United States
Los Angeles, California, United States
San Francisco Bay Area, California, United States
New York City, New York, United States
Compensation
The typical starting salary range for this role is: $133,100—$210,600 USD. The typical starting salary range for this role in the select locations listed above is: $159,900—$252,900 USD
Responsibilities
Contribute to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch
Senior Java Engineer joining the Elasticsearch team to ensure that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure.
Compensation
The typical starting salary range for this role is: €67.000—€106.000 EUR
Responsibilities
Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch.
Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows.
Designing and implementing new horizontally-scalable features and APIs in Elasticsearch.
Solving difficult issues, including performance or concurrency issues, and proposing solutions.
Improving operation and observability of Elasticsearch cloud systems.
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