Forward Deployment Engineer

0-0 Annually Senior level Build AI-powered applications for enterprise customers using Generative AI, LLMs, MongoDB, and modern software architectures. Responsibilities include refactoring applications, migrating legacy databases, optimizing performance, developing microservices and intelligent automation, supporting AI adoption, and influencing product strategy. The role collaborates with engineering, product, and customer teams to deliver scalable solutions and requires substantial enterprise software engineering experience. The summary above was generated by AI

As a Senior Forward Deployed AI Engineer, you’ll work directly with enterprise customers on high-impact projects that leverage Generative AI, LLMs, and modern application development. You’ll be hands-on in helping organizations migrate legacy databases, modernize their architecture, and integrate AI-driven functionality into their applications. This is a rare opportunity to apply your software engineering expertise while driving AI adoption across industries. You’ll not only solve challenging, real-world engineering problems, but also influence MongoDB’s AI strategy and product direction.

This role will be based remotely anywhere within the U.S. or any MongoDB North America office, including Seattle, Denver, Raleigh, San Francisco, Palo Alto, New York, DC, etc. What You’ll Do

• Work with enterprise customers to refactor applications, migrate legacy databases, and optimize performance using MongoDB
• Prototype and build AI-powered features, leveraging LLMs and Generative AI frameworks to improve software development workflows and application functionality
• Apply modern software engineering practices to accelerate customers’ AI adoption, helping them implement microservices-based architectures, intelligent automation, and AI-enhanced applications
• Influence MongoDB’s AI and software development roadmap by sharing insights from real-world implementations and customer needs
• Collaborate across engineering, product, and customer teams to create scalable, resilient software solutions, Remote or Hybrid United States Easy Apply 101K-273K Annually Senior level 101K-273K Annually Senior level Big Data * Cloud * Software * Database Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases. Top Skills: AWSC++GCPJavaScriptAzureMongoDBPythonRaft MongoDB

Senior Software Engineer

Yesterday Easy Apply Remote or Hybrid United States Easy Apply 101K-273K Annually Senior level 101K-273K Annually Senior level Big Data * Cloud * Software * Database Develop and maintain MongoDB server workload resilience infrastructure in C++ or Rust. Design workload policies for rate limiting, prioritization, overload mitigation, availability, and performance. Write unit and integration tests, investigate failures, improve observability, diagnose and fix complex distributed-system issues, and lead technical projects. Collaborate across engineering teams, mentor junior engineers, participate in hiring, and improve operational readiness, monitoring, incident management, and rollout processes. Top Skills: C++JavaScriptMongoDBPythonRust, MongoDB

• 8+ years of experience in software engineering, with a proven track record of delivering impactful technical solutions for enterprise clients, preferably using Java, SQL, and Python
• An engineering degree in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering
• In-depth knowledge of AI/ML concepts, tools, and open-source development; experience designing and implementing AI-powered applications is highly preferred
• Proficient in test-driven development methodologies and familiar with monolithic vs. microservices architectures, including database migration and refactoring
• Strong problem-solving skills and a passion for tackling complex, “un-Googleable” challenges while driving innovation through software development
• Preferred qualifications: Academic research experience in parsing, AI/ML, or programming languages

About MongoDB

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $0.01-$0.01 USD, United States Easy Apply 151K-297K Annually Senior level 151K-297K Annually Senior level Big Data * Cloud * Software * Database Leads product strategy and execution for MongoDB Atlas Infinite, a disaggregated compute and storage platform. Owns customer experience, adoption, monetization, retention, roadmap discovery, GA readiness, and cross-team trade-offs. Partners with engineering, marketing, sales, support, and executives to validate workloads, resolve systemic product issues, develop multi-year bets, and align technical and commercial priorities. Mentors product managers and establishes consistent research, launch, and decision-making practices across the portfolio. Top Skills: AWSCloud DatabasesCloud InfrastructureDistributed Data SystemsMongodb AtlasProduct AnalyticsStorage Infrastructure

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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.

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