Lead Software Engineer - DATA & AI (genderneutral)

Mongodb

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 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. With offices worldwide and over 67,000 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 is an equal opportunities employer. REQ ID: 1273362479 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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $191,000—$265,000 CAD

Valtech

Lead Data Engineer - AI Search (all genders) Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The Role   We are looking for a Lead Data Engineer — AI Search (all genders) to join Valtech and lead enterprise-scale AI, search, and conversational platform initiatives.At Valtech, we design and build scalable, high-performance digital solutions at the intersection of cloud engineering, AI, data, and experience design. The Tech Lead is responsible for mature study and translating architecture into scalable and production-ready solutions. This role drives detailed technical design choices, secures delivery quality, and coordinates development and integration activities across multidisciplinary teams. You will thrive in this role if you: * Are comfortable owning architectural decisions and long-term technical strategy * Enjoy mentoring engineers and raising overall engineering maturity * Can clearly communicate technical trade-offs to both technical and non-technical stakeholders * Proactively identify risks, dependencies, and scalability concerns * Balance delivery needs with long-term platform health Key responsibilities * Define detailed technical design, components, interfaces, and integration patterns. * Lead development teams and enforce engineering standards and best practices. * Coordinate architecture, cloud/platform, data, QA, and business stakeholders. * Ensure delivery quality through testing, observability, and application security practices * Guide teams on GCP and AI Search implementation patterns * Lead technical discovery, estimation, and solution design workshops * Identify technical risks and propose mitigation strategies early * Ensure scalable, reliable, and production-ready AI solutions * Contribute hands-on in complex and high-impact technical areas * Support industrialization and operationalization of AI and search use cases Must have qualifications * 7+ years of professional software engineering experience in enterprise environments * Strong expertise in Google Cloud Platform (GCP) and AI ecosystems * Experience with AI Search, conversational AI, and generative AI integrations * Strong application architecture, API design, and enterprise integration experience * Solid understanding of cloud-native, microservices, and event-driven architectures * Experience with CI/CD pipelines, software quality, observability, and cloud security best practices * Experience working with Kubernetes and Infrastructure as Code * Technical leadership experience, including mentoring engineers and guiding technical decisions * Ability to collaborate across architecture, engineering, cloud, and data teams * Strong communication and stakeholder management skills * Experience delivering enterprise-scale digital solutions in Agile environments * Backend development experience with Java and/or Python * Advanced level of French and English If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits   This is a permanent position based in Paris/France with at least 3 days at the client office (Paris). Beyond a competitive compensation package, we offer: * Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German langu

Mongodb

Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution.  Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale.  Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects.  This is a technical role where you will be responsible for the success of complex Search Query feature development. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. WHAT YOU’LL DO * Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework. * Set project level strategy, architect features, and lead projects to successful execution * Identify, design, and implement features enhancing our query language, performance, and operability * Perform code reviews with peers and make recommendations on how to improve our software development processes * Influence and grow team members through active mentoring and leading by example WHAT WE LOOK FOR * 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background * Experienced in the development and maintenance of stateful distributed systems * Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others * Experienced in debugging and profiling multithreaded applications written in Java and Rust * Bonus: experience with designing high-volume query engines, such as a database, search system, or vector search system SUCCESS MEASURES: * In 3 months, you'll contribute to the improvement of our core "mongot" repository * In 6 months, you'll be working on projects 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 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 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. With offices worldwide and over 67,000 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: 2273449912 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: $126,000—$248,000 USD