Senior Software Engineer, Stream Processing
MongoDB UK Limited · New York City · posted 8 days ago
Going rate £54,700UK median £56,914
Home Office going rates
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£51,064 to £72,018estimated
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
Sponsorship
Sponsorship chance
High
- Licensed for Skilled Worker
- Occupation is eligible for Skilled Worker
- Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks likely: licensed for Skilled Worker, and occupation is eligible for Skilled Worker.
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Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own.
The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages . We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine.
Position Expectations
Design, build, and deliver core components of the system in collaboration with other stakeholders
Help shape architecture, development practices, and escalation policies as the teams and the product grow
Mentor fellow engineers and assume ownership and accountability of projects
Qualifications
Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)
5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale
Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability
Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases
Strong sense of ownership, accountability, and pride
Nice to have
Hands‑on modern C++ experience in performance‑sensitive systems
Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
Information from public records, not immigration advice.