Remote opportunity at
AlphaSenseSenior Engineer, Software
This senior engineering role sits on the search platform behind AlphaSense's market intelligence products. The platform covers billions of documents, and the engineer would help keep…
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About This Role
This senior engineering role sits on the search platform behind AlphaSense's market intelligence products. The platform covers billions of documents, and the engineer would help keep search quick, dependable and suitable for enterprise clients who depend on it for research. Day to day, the work involves distributed systems that process several hundred queries every second and return results within milliseconds. The engineer would architect and tune that infrastructure, guide a…
Job Description
This senior engineering role sits on the search platform behind AlphaSense's market intelligence products. The platform covers billions of documents, and the engineer would help keep search quick, dependable and suitable for enterprise clients who depend on it for research.
Day to day, the work involves distributed systems that process several hundred queries every second and return results within milliseconds. The engineer would architect and tune that infrastructure, guide a move from aging systems to a modern design with no service disruption, and set up monitoring, testing and release practices that surface problems before customers notice them.
Applicants should have run distributed systems in production for at least five years. The posting also expects familiarity with partitioning, replication and consistency models, a background in high-traffic or big-data platforms, and skill at finding and resolving slowdowns anywhere in the stack. Exposure to streaming data flows, data pipelines or database engine internals rounds out the expected profile.
Bonus experience includes working with search engines such as Vespa, Elasticsearch or Solr, operating Kubernetes and infrastructure as code, information retrieval or ranking work, blending keyword and vector retrieval, and tuning JVM applications. The role is listed as remote and open to people in India and Europe. The company was founded in 2011, is based in New York City, and reports more than 2,000 staff and over 6,000 enterprise clients. No salary or benefits are described in the posting.
Responsibilities
- Architect and tune infrastructure that indexes billions of documents and handles heavy query loads
- Steer the shift from legacy platforms to a modern design without outages
- Put monitoring, testing and release practices in place to catch faults early
- Analyze performance from hardware up to application code, weighing cost against speed
Requirements
- Five or more years running distributed systems in production
- Hands-on work with high-volume data platforms
- Understanding of partitioning, replication and consistency models
- Proven skill at diagnosing and fixing bottlenecks throughout the stack
- Background in data pipelines, live processing or database engines
- Ability to build observable systems with alerts and dashboards
Qualifications
- Practical use of Vespa, Elasticsearch or Solr
- Working knowledge of Kubernetes, custom resource definitions and infrastructure as code
- Interest in information retrieval, ranking or recommendation engines
- Experience blending lexical and vector retrieval
- Tuning JVM-based services
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this role based?
The listing marks the role as remote, with openings for candidates in India and Europe.
What experience does the role require?
At least five years running distributed systems in production, plus work with large-scale or high-throughput data platforms.
Is the role full time?
Yes, the listing is full time. The posting does not state a salary.
How do I apply?
The posting does not describe the application process.
Sample Interview Questions
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