The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273362479

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263333172

About the team

The SRE team was recently formed with the goals of establishing first-class observability tools and primary owners of all things production.

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with R&D to improve and optimize availability.

• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring
• Conduct periodic on-call duties and emergency response

What You'll Bring

• At least 3+ years of experience as an SRE, Infra Backend in a SaaS environment.
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Configuration management, such as Ansible/Chef/Puppet/ArgoCD
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab/Phabricator/gerrit
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Participated in Kubernetes migration projects
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

About the team

The SRE Incident Response team is responsible for handling critical application\infrastructure alerts, orchestrating the war room process and enabling first class observability and alerting systems. 

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

On-call coverage is 7 days a week, starting at noon, with the shift ending at 6:00pm. 

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with engineering and DevOps to improve and optimize availability.

• Manage and participate in incident war rooms, escalating and coordinating response for critical workflow alerts.
• Perform deep-dive troubleshooting for application, transaction, and general technical issues.
• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring

What You'll Bring

• At least 3+ years of experience as an SRE incident response engineer
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.