Senior Software Engineer, Atlas Search Systems Careers at MongoDB - New York City, New York | Apply Now!
MongoDB
Senior Software Engineer, Atlas Search Systems Careers at MongoDB - New York City, New York | Apply Now!
Job Description
Role Overview
Join MongoDB's Atlas Search Systems team as a Senior Software Engineer in New York City! We're building the cloud-based distributed systems powering MongoDB Atlas Search—the leading NoSQL search solution for modern developer data platforms. Our team manages the complete lifecycle of search indexes: data ingestion, index building, partitioning, performance optimization, high availability, and backup management.
Atlas Search is rapidly gaining traction among Fortune 100 companies and AI-native startups. You'll contribute to core architectural improvements that make enterprise-grade search seamless for the largest workloads. This hybrid NYC role offers ownership of critical subsystems and leadership opportunities in one of the most innovative database teams worldwide.
MongoDB Atlas—the world's most widely available, globally distributed, multi-cloud database—powers 75% of Fortune 100 companies across AWS, Google Cloud, and Azure. Be part of redefining databases for the AI era.
Key Responsibilities at MongoDB
- Scale Atlas Search: Design and implement projects improving scalability for massive workloads and seamless customer experiences
- Build Distributed Systems: Develop cloud-native software managing search index lifecycle from ingestion to backup
- Lead Engineering Projects: Own subsystems and drive projects from concept through production deployment
- Shape Architecture: Help determine team roadmap and evolve core system architecture
- Collaborate Technically: Work with teams prioritizing sound decisions and customer-loved systems
- Optimize Performance: Enhance partitioning, index building, and performance for high-throughput search
- Ensure Availability: Build resilient systems with robust backup and recovery capabilities
- Mentor & Review: Conduct code reviews, participate in design discussions, and mentor engineers
- Drive Innovation: Contribute to architectural improvements accelerating customer adoption
Qualifications & Requirements
We're seeking experienced backend engineers passionate about distributed systems and MongoDB Atlas:
- 5+ years designing, building, testing, and maintaining industrial-strength backend software in complex codebases
- Proven experience with distributed systems and cloud services at scale
- Strong proficiency in modern statically typed languages; Java experience strongly preferred
- Excellent technical communication skills for collaboration and engineering mentorship
- Growth mindset with rapid learning through challenges and feedback
- Demonstrated ownership from design through production maintenance
Success Timeline: In 3 months, understand team operations and deliver improvements. By 6 months, review code and lead discussions. Within 12 months, lead projects with lasting impact on code, product, and processes.
Salary & Benefits
Senior Software Engineer compensation at MongoDB reflects market leadership:
- Base Salary: $180,000 - $260,000 (NYC market rate)
- Equity: Competitive RSU packages with significant upside
- Total Compensation: Includes bonus, benefits, and growth opportunities
- MongoDB University: Free access to world-class training platform
- Global Family Leave: Industry-leading parental and family support
- Wellness Programs: Comprehensive mental/physical health benefits
- Fertility Assistance: Family planning support
- Hybrid NYC: Modern offices with flexible work arrangements
- 401(k) Matching: Strong retirement savings plan
Why Join MongoDB?
MongoDB powers the next era of software with 60,000 customers including 75% of Fortune 100. Our Leadership Commitment guides decision-making and team culture. Join a company built for change that empowers innovation at market speed.
Work with Atlas Search—MongoDB's breakthrough full-text search for document databases. Contribute to systems handling petabyte-scale indexes across multi-cloud environments. Enjoy NYC hybrid model, global impact, and engineering excellence.
How to Apply
Ready to build the future of search at MongoDB? Apply now for immediate consideration! NYC candidates preferred for hybrid model. Req. ID: 4263322278. MongoDB is an Equal Opportunity Employer committed to diversity and accommodations.
Join thousands of engineers transforming databases for AI, cloud-native apps, and modern workloads. Apply today and shape the world's most loved developer data platform!
Locations
- New York City, New York, United States
Salary
189,000 - 286,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- MongoDB Atlasintermediate
- Atlas Searchintermediate
- Distributed Systemsintermediate
- Java Programmingintermediate
- Cloud Servicesintermediate
- NoSQL Databasesintermediate
- Search Indexingintermediate
- Scalable Backend Developmentintermediate
- Microservices Architectureintermediate
- Data Ingestion Pipelinesintermediate
- System Performance Optimizationintermediate
- High Availability Systemsintermediate
- Backup Managementintermediate
- Container Orchestrationintermediate
- DevOps Practicesintermediate
Required Qualifications
- 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in complex codebases (experience)
- Proven experience developing distributed systems and cloud services with a focus on scalability (experience)
- Strong proficiency in at least one modern statically typed programming language, with Java experience strongly preferred (experience)
- Excellent verbal and written technical communication skills for collaborating and mentoring engineers (experience)
- Growth mindset with ability to learn quickly through challenges, reflection, and feedback incorporation (experience)
- Strong sense of ownership from initial design through production maintenance (experience)
Responsibilities
- Design and implement projects that enhance Atlas Search scalability for massive workloads
- Build cloud-based distributed systems for search index lifecycle management
- Lead engineering projects and own critical subsystems within the Atlas Search platform
- Contribute to core architectural improvements driving customer adoption
- Collaborate with cross-functional teams to prioritize technical decision-making
- Develop data ingestion, index building, partitioning, and performance optimization features
- Manage availability, backup systems, and high-availability guarantees for search indexes
- Review code, participate in architecture discussions, and shape team roadmap
- Mentor junior engineers and drive continuous improvement in system reliability
Benefits
- general: Competitive base salary with equity packages
- general: MongoDB University for continuous professional development
- general: Global Family Leave and generous parental leave policy
- general: Fertility assistance and family planning support
- general: Employee affinity groups and inclusive culture programs
- general: Comprehensive wellness programs and mental health support
- general: Hybrid work model in New York City with flexible scheduling
- general: Medical, dental, vision insurance with premium coverage
- general: 401(k) matching and financial wellness benefits
Tags & Categories
Answer 10 quick questions to check your fit for Senior Software Engineer, Atlas Search Systems Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.
Related Books and Jobs
Senior Software Engineer, Atlas Search Systems Careers at MongoDB - New York City, New York | Apply Now!
MongoDB
Senior Software Engineer, Atlas Search Systems Careers at MongoDB - New York City, New York | Apply Now!
Job Description
Role Overview
Join MongoDB's Atlas Search Systems team as a Senior Software Engineer in New York City! We're building the cloud-based distributed systems powering MongoDB Atlas Search—the leading NoSQL search solution for modern developer data platforms. Our team manages the complete lifecycle of search indexes: data ingestion, index building, partitioning, performance optimization, high availability, and backup management.
Atlas Search is rapidly gaining traction among Fortune 100 companies and AI-native startups. You'll contribute to core architectural improvements that make enterprise-grade search seamless for the largest workloads. This hybrid NYC role offers ownership of critical subsystems and leadership opportunities in one of the most innovative database teams worldwide.
MongoDB Atlas—the world's most widely available, globally distributed, multi-cloud database—powers 75% of Fortune 100 companies across AWS, Google Cloud, and Azure. Be part of redefining databases for the AI era.
Key Responsibilities at MongoDB
- Scale Atlas Search: Design and implement projects improving scalability for massive workloads and seamless customer experiences
- Build Distributed Systems: Develop cloud-native software managing search index lifecycle from ingestion to backup
- Lead Engineering Projects: Own subsystems and drive projects from concept through production deployment
- Shape Architecture: Help determine team roadmap and evolve core system architecture
- Collaborate Technically: Work with teams prioritizing sound decisions and customer-loved systems
- Optimize Performance: Enhance partitioning, index building, and performance for high-throughput search
- Ensure Availability: Build resilient systems with robust backup and recovery capabilities
- Mentor & Review: Conduct code reviews, participate in design discussions, and mentor engineers
- Drive Innovation: Contribute to architectural improvements accelerating customer adoption
Qualifications & Requirements
We're seeking experienced backend engineers passionate about distributed systems and MongoDB Atlas:
- 5+ years designing, building, testing, and maintaining industrial-strength backend software in complex codebases
- Proven experience with distributed systems and cloud services at scale
- Strong proficiency in modern statically typed languages; Java experience strongly preferred
- Excellent technical communication skills for collaboration and engineering mentorship
- Growth mindset with rapid learning through challenges and feedback
- Demonstrated ownership from design through production maintenance
Success Timeline: In 3 months, understand team operations and deliver improvements. By 6 months, review code and lead discussions. Within 12 months, lead projects with lasting impact on code, product, and processes.
Salary & Benefits
Senior Software Engineer compensation at MongoDB reflects market leadership:
- Base Salary: $180,000 - $260,000 (NYC market rate)
- Equity: Competitive RSU packages with significant upside
- Total Compensation: Includes bonus, benefits, and growth opportunities
- MongoDB University: Free access to world-class training platform
- Global Family Leave: Industry-leading parental and family support
- Wellness Programs: Comprehensive mental/physical health benefits
- Fertility Assistance: Family planning support
- Hybrid NYC: Modern offices with flexible work arrangements
- 401(k) Matching: Strong retirement savings plan
Why Join MongoDB?
MongoDB powers the next era of software with 60,000 customers including 75% of Fortune 100. Our Leadership Commitment guides decision-making and team culture. Join a company built for change that empowers innovation at market speed.
Work with Atlas Search—MongoDB's breakthrough full-text search for document databases. Contribute to systems handling petabyte-scale indexes across multi-cloud environments. Enjoy NYC hybrid model, global impact, and engineering excellence.
How to Apply
Ready to build the future of search at MongoDB? Apply now for immediate consideration! NYC candidates preferred for hybrid model. Req. ID: 4263322278. MongoDB is an Equal Opportunity Employer committed to diversity and accommodations.
Join thousands of engineers transforming databases for AI, cloud-native apps, and modern workloads. Apply today and shape the world's most loved developer data platform!
Locations
- New York City, New York, United States
Salary
189,000 - 286,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- MongoDB Atlasintermediate
- Atlas Searchintermediate
- Distributed Systemsintermediate
- Java Programmingintermediate
- Cloud Servicesintermediate
- NoSQL Databasesintermediate
- Search Indexingintermediate
- Scalable Backend Developmentintermediate
- Microservices Architectureintermediate
- Data Ingestion Pipelinesintermediate
- System Performance Optimizationintermediate
- High Availability Systemsintermediate
- Backup Managementintermediate
- Container Orchestrationintermediate
- DevOps Practicesintermediate
Required Qualifications
- 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in complex codebases (experience)
- Proven experience developing distributed systems and cloud services with a focus on scalability (experience)
- Strong proficiency in at least one modern statically typed programming language, with Java experience strongly preferred (experience)
- Excellent verbal and written technical communication skills for collaborating and mentoring engineers (experience)
- Growth mindset with ability to learn quickly through challenges, reflection, and feedback incorporation (experience)
- Strong sense of ownership from initial design through production maintenance (experience)
Responsibilities
- Design and implement projects that enhance Atlas Search scalability for massive workloads
- Build cloud-based distributed systems for search index lifecycle management
- Lead engineering projects and own critical subsystems within the Atlas Search platform
- Contribute to core architectural improvements driving customer adoption
- Collaborate with cross-functional teams to prioritize technical decision-making
- Develop data ingestion, index building, partitioning, and performance optimization features
- Manage availability, backup systems, and high-availability guarantees for search indexes
- Review code, participate in architecture discussions, and shape team roadmap
- Mentor junior engineers and drive continuous improvement in system reliability
Benefits
- general: Competitive base salary with equity packages
- general: MongoDB University for continuous professional development
- general: Global Family Leave and generous parental leave policy
- general: Fertility assistance and family planning support
- general: Employee affinity groups and inclusive culture programs
- general: Comprehensive wellness programs and mental health support
- general: Hybrid work model in New York City with flexible scheduling
- general: Medical, dental, vision insurance with premium coverage
- general: 401(k) matching and financial wellness benefits
Tags & Categories
Answer 10 quick questions to check your fit for Senior Software Engineer, Atlas Search Systems Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.
Related Books and Jobs