D
Datasite
Senior Backend Engineer
Skills
MongoDBPythonMicroservicesMachine LearningAIAWSElasticsearchWorkday
1 month ago
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Important information
Salary:
$118,800 – $207,200 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
24 September 2026
What they need
Who you are
- Minimum of 5+ years experience as a Software Engineer
- A Bachelor's degree in Computer Science/Engineering or equivalent work experience
- Solid experience with Python
- Strong understanding of Data Structures and Algorithms
- You have excellent communication and collaboration skills
- Experience working with and building user facing features
- Familiarity with AWS and its suite of services
- Experience working with event-driven microservice architectures in production environments
- Demonstrated experience in collaboration on features from the conceptual phase through to release
- Bonus points if you have experience with ElasticSearch or MongoDB
What the job involves
- We are looking for a Sr Backend Engineer (Python) to join our team! The ideal candidate is a passionate and experienced professional with a strong track record of developing efficient, high-performance technologies
- You'll bring your expertise in engineering principles, exceptional system design skills, and a product-focused mindset to enhance our data systems and applications, delivering even greater value to our enterprise users. If you're excited about contributing to a cutting-edge private company search engine, we want to hear from you!
- Craft high-quality code that meets our internal standards for style, maintainability, and best practices for scalable software systems. Uphold and advocate for these standards during code review
- You will work closely with a Full Stack team to deliver new user experiences
- Drive improvements to product quality, security, and performance that impact your team
- Optimize the runtime of our distributed system, including AWS services, databases, and our search engine. Your goal will be to achieve ambitious performance targets at all levels of our architecture, from the customer-facing API down to the lowest layer
- Collaborate with Machine Learning Engineers to develop new AI-powered features
- Design and deploy scalable data infrastructure within a distributed event-driven architecture
- Prototype and experiment with new technologies and tools as part of ongoing innovation efforts
Benefits
- Culture and benefits built around work-life balance
- Extensive resources to support physical and mental health
- Employee assistance program
- Generous retirement plans
- Incentives for referring new colleagues
- Learning, training and mentoring programs
- Cross-functional projects
- Stretch assignments to help you progress
- Receive feedback and earn bonuses from peers & managers
- Employee bonding activities
- ESG and charitable team initiatives
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