דרושים Staff Security Engineer Developer Productivity ב-Mongodb ב-ארהב

• Build and design new features for MongoDB Atlas
• Contribute to and lead complex technical projects
• Work closely with product and design teams, considering the user’s perspective while building technical solutions
• Work with customers and support engineers to fix issues
• Collaborate with team members to develop our codebase, best practices, and design principles
• Learn from and mentor other team members

• Has at least 5 years of professional software development experience
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Is comfortable working across the stack of a modern web application (e.g. React, TypeScript)
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Has led the launch of a new module and maintained it in production
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

• In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
• In 6 months, you'll have contributed to a large project
• In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

• Proficient in modern programming languages and techniques
• Eager to impact and envision the technological future of a complex system
• Experienced in developing distributed systems, cloud services and SaaS products
• Experienced in designing and maintaining search platforms or distributed databases is preferred but not required
• Experienced in debugging and profiling multithreaded JVM applications is preferred but not required

• Build and design our integrated search platform, written in Java
• Contribute to two leading open source platforms, MongoDB and Lucene
• Participate in product and design discussions
• Perform code reviews with peers and make recommendations on how to improve our code and software development processes
• Collaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projects

• In 3 months, you'll contribute to the improvement of our core "mongoT" repository
• In 6 months, you'll be working on features such as query features or platform improvements
• In 12 months, you'll be building POCs, designing new features, and collaborating with other teams from across the company on complex projects

Note: This role can be based out of our NYC office or remotely from anywhere in North America.

• 10+ years of experience building distributed systems
• Experienced and passionate about delivering and deploying a product with cross-team stakeholders
• Experience with building production-level code with a large user base, robust design structure, and rigorous code quality. Experience in C++ is required
• Understands modern computer architecture and internals to the degree that they can reason about how specific design choices play out in a system like MongoDB
• Excellent verbal and written communication skills and highly motivated to collaborate with colleagues and mentor junior engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Good computer networking fundamentals and a desire to improve them
• Has demonstrated industry success or academic research in areas such as
• High performance / low latency networking
• Performance tuning
• Building high performance distributed and concurrent systems.

We’re also investing in , a specialized backend service for building AI agents to help engineers debug tasks. Written in TypeScript, Sage is part of our push to bring AI-powered tooling to the heart of our developer productivity ecosystem.

• Design, build, and optimize web applications in React, GraphQL, and TypeScript, focusing on performance and user experience
• Lead development on Spruce and Parsley, delivering data-rich, highly interactive experiences that scale to massive CI workloads
• Collaborate with backend engineers working in Go and TypeScript to build seamless integrations between frontend and backend services
• Contribute to Sage, developing AI-powered agentic flows that help engineers debug tasks more effectively
• Ensure best practices in testing (Cypress), monitoring, and reliability
• Mentor team members and help shape the technical and cultural direction of our team

• 5+ years of strong experience in React and TypeScript
• Experience working with backend systems (experience in a statically typed compiled language like Go is a plus)
• Interest in developing agentic services and working with AI-powered developer tooling
• Track record of designing and implementing performant, large-scale web apps
• Familiarity with end-to-end testing frameworks such as Cypress or playwright
• Strong fundamentals in software engineering, including algorithms, data structures, and systems design
• Ability to thrive in environments with high impact and uncertainty, driving projects from 0→1 and beyond

• In three months, you’ll have contributed to Spruce or Parsley, shipping improvements in performance or user experience. You’ll understand the architecture and be in discussions about Sage’s AI-driven services
• In six months, you’ll have led development on a substantial feature in Spruce or Parsley, and contributed to Sage’s AI agentic workflows. You’ll be recognized as a go-to person for frontend performance and developer experience
• In twelve months, you’ll be initiating and leading projects that shape the future of developer productivity at MongoDB, across frontend, log analysis, and AI agentic services. You’ll mentor teammates and influence architectural direction on new greenfield projects.

This role can be based out of our New York City office or remotely in the region.

• Lead medium sized, full-stack projects from technical design to delivery
• Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)
• Own our , and exemplify them in your work
• Continue to learn and be curious in growing your career!

• 2+ years of professional experience building full-stack web applications
• Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.)
• Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus
• Excellent communication skills, both written and verbal
• Is collaborative, empathetic, and intellectually honest

• In 1 month you’ll have shipped code into production
• In 3 months, you’ll have collaborated and delivered on a project with other engineers on the team
• In 6 months, you’ll have led the technical design, execution, and delivery of a project

System Architecture & Development

• Lead the design, configuration, and customization of NetSuite to support R2R and accounting processes (GL, journals, allocations, consolidations, fixed assets, intercompany eliminations)
• Architect scalable NetSuite solutions that integrate seamlessly with upstream and downstream systems (e.g., procurement, billing, expense management, data lake)
• Develop and maintain SuiteScript, SuiteFlow, SuiteTalk (Web Services), and RESTlets to support automation and integrations

Process & Accounting Alignment

• Partner with Finance, Accounting, and Audit teams to translate accounting policies into system-enforced controls within NetSuite
• Act as the primary point of contact for Finance teams including Accounting, Tax, Treasury and RevOps
• Ensure compliance with SOX, GAAP, and audit requirements through configuration of role-based security, approvals, reconciliations, and audit trails
• Optimize financial close processes (journals, reconciliations, accruals, consolidations) to reduce close cycle time
• Build and enhance reporting frameworks (saved searches, financial reports, dashboards) to support accurate and timely financial reporting
• Support compliance and audit requirements through appropriate controls and documentation

Technical Leadership

• Serve as the subject matter expert (SME) for NetSuite R2R and OTC processes, guiding engineers, administrators, and analysts
• Serve as the primary technical advisor for business stakeholders
• Translate business requirements into scalable technical solutions with clear documentation
• Establish engineering best practices in NetSuite development, including coding standards, testing, version control, and deployment
• Drive system performance, scalability, and reliability improvements
• Mentor junior engineers and provide architectural oversight for NetSuite-related initiatives

Integration & Data Management

• Oversee integrations with external systems (e.g., payroll, banking, consolidation tools, CRM platforms like Salesforce, Coupa, Concur)
• Partner with Data Engineering teams to ensure accurate data flow into finance data lake/warehouse for analytics and compliance reporting
• Support data governance, master data management (chart of accounts, dimensions, entity hierarchy) in alignment with accounting standards

Required

• 10+ years of NetSuite development/engineering experience with a focus on General Ledger and accounting modules
• Strong knowledge of OTC and R2R processes including journal entries, close cycle, reconciliations, consolidations, and intercompany accounting
• Proficiency in SuiteScript 1.0/2.0, SuiteFlow, SuiteTalk, REST APIs, and NetSuite integration patterns
• Demonstrated experience implementing system-enforced financial controls and supporting SOX compliance
• Solid understanding of US GAAP and accounting workflows
• Experience with role-based security design, segregation of duties, and audit requirements

Preferred

• Experience with global accounting operations (multi-entity, multi-currency, consolidations)
• Bachelor’s degree in Computer Science, Information Systems, Finance, or related field (or equivalent experience)
• Familiarity with modern finance data stacks and BI/reporting tools
• Prior experience in a high-growth, SaaS or technology company
• Exposure to AI/automation in Finance (e.g., reconciliations, anomaly detection)

Soft Skills

• Strong problem-solving and cross-functional collaboration abilities
• Excellent communication skills, able to translate technical details into business terms
• Leadership mindset with the ability to mentor and influence stakeholders
• Detail-oriented with a commitment to accuracy and compliance

• Impact at Scale: Play a strategic role in modernizing Finance Technology for a growing global organization
• Innovation: Work at the intersection of Finance, Technology, and Compliance to deliver scalable impact
• Cross-Functional Collaboration: Partner with senior leaders in Finance, Procurement, and Technology to deliver systems that enable smarter decisions
• Opportunity to lead technical strategy and influence how core accounting processes are automated and optimized

Req: 3263255986

As a Lead Engineer, Inference Platform, you’ll be hands-on with design and implementation, while working with engineers across experience levels to build a robust, scalable system. The focus is on latency, availability, observability, and scalability in a multi-tenant, cloud-native environment. You will also be responsible for guiding the technical direction of the team, mentoring junior engineers, and ensuring the delivery of high-quality, impactful features.

• Partner with Search Platform and Voyage.ai AI engineers and researchers to productionize state-of-the-art embedding models and rerankers, supporting both batch and real-time inference
• Lead key projects around performance optimization, GPU utilization, autoscaling, and observability for the inference platform
• Design and build components of a multi-tenant inference service that integrates with Atlas Vector Search, driving capabilities for semantic search and hybrid retrieval
• Contribute to platform features like model versioning, safe deployment pipelines, latency-aware routing, and model health monitoring
• Collaborate with peers across ML, infra, and product teams to define architectural patterns and operational practices that support high availability and low latency at scale
• Guide decisions on model serving architecture using tools like vLLM, ONNX Runtime, and container orchestration in Kubernetes
• Provide technical leadership and mentorship to junior engineers, fostering a culture of technical excellence and continuous improvement within the team

• 8+ years of engineering experience in backend systems, ML infrastructure, or scalable platform development, and the ability to provide technical leadership and guidance to a team of engineers
• Expertise in serving embedding models in production environments
• Strong systems skills in languages like Go, Rust, C++, or Python, and experience profiling and optimizing performance
• Comfortable working on cloud-native distributed systems, with a focus on latency, availability, and observability
• Familiarity with inference runtimes and vector search systems (e.g., Faiss, HNSW, ScaNN)
• Proven ability to collaborate across disciplines and experience levels, from ML researchers to junior engineers
• Experience with high-scale SaaS infrastructure, particularly in multi-tenant environments
• 1+ years of experience serving as TL for a large-scale ML inference or training platform SW project

• Prior experience working with model teams on inference-optimized architectures
• Background in hybrid retrieval, prompt-based pipelines, or retrieval-augmented generation (RAG)
• Contributions to relevant open-source ML serving infrastructure
• 1+ years of experience in managing a technical team focused on ML inference or training infrastructure

• Be part of shaping the future of AI-native developer experiences on the world’s most popular developer data platform
• Collaborate with ML experts from Voyage.ai to bring cutting-edge research into production at scale
• Solve hard problems in real-time inference, model serving, and semantic retrieval — in a system used by thousands of customers worldwide
• Work in a culture that values mentorship, autonomy, and strong technical craft
• Competitive compensation, equity, and career growth in a hands-on technical leadership role