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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.
Within the first three months, you will have:
Within six months, you will have:
Within 12 months, you will have:
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 is an equal opportunities employer.
REQ ID: 425547
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.
Ready to apply?
Apply to MongoDB
OneVest is a fast-growing technology company on a mission to Power the World’s Wealth by revolutionizing how financial institutions deliver wealth management services. We are an innovative team that thrives on creativity, collaboration, and the pursuit of excellence. We’ve been listed as one of Forbes's best start-up employers, and named on the WealthTech100 list for 2024. OneVest is backed by notable investors including Salesforce Ventures, Allianz Life Ventures, TIAA Ventures, OMERS Ventures, Fin Capital, Deloitte Ventures, and more. If you’re passionate about finance, technology, and making a real impact, this is the perfect opportunity to be part of something big.
We are seeking an experienced Staff Mobile Engineer to join our team. The successful candidate loves working with technology and has a proven track record of leading, building and delivering complex mobile applications. This role requires navigating ambiguity and shaping the long term direction of our mobile products.
You will work as part of our mobile team to redefine wealth management for both advisors and their clients. Our infrastructure is built with a Microservices approach and our tech stack includes React Native, with TypeScript, Node, Serverless, GraphQL, MongoDB, and AWS.
As a key member of our Mobile team, you will be helping set the strategy for OneVests mobile applications by: (1) establishing and building patterns customer and client interactions, (2) designing and building customer and client mobile experiences, (3) building tooling, CI and releases processes that enable scalable and efficient delivery of enterprise applications to our customers.
What you’ll be doing:
Must Haves:
Location: This role is open to candidates across Canada
What It’s Like To Work With Us:
Sound like a good fit? Apply today!
Don’t meet every single requirement? We encourage you to apply anyways. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we would still like to review your resume. You may be just the right candidate for this or other roles.
OneVest is dedicated to fostering a diverse, equitable, and inclusive workplace. We encourage applications from individuals of all backgrounds, including those with visible and non-visible disabilities. If you require accommodations at any stage of the recruitment and selection process, please reach out to recruiting@onevest.com and we’ll be happy to support you.
AI Use In Our Hiring Process:
OneVest does not currently use AI to screen, assess, or select candidates as part of the recruitment process.
Ready to apply?
Apply to OneVest
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
An Ideal Candidate Should Have
What We Offer
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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• Develop and deploy Generative AI applications using:
• Azure OpenAI Service (GPT models, embeddings, fine-tuning)
• Azure AI Foundry for managing LLM lifecycle and deployment
• LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
• RAG pipelines using Azure AI Search and vector databases
• AI agents and MCP servers for task automation and reasoning
• Implement prompt engineering strategies and optimize LLM interactions.
• Build APIs and microservices to integrate AI capabilities into enterprise applications.
• Collaborate with architects and client teams to understand requirements and deliver solutions.
• Ensure code quality, performance, and security in cloud-native environments.
• Stay up to date with the latest in generative AI frameworks, tools, and best practices.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in software development, with a focus on AI/ML applications.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
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• Opportunity to build impactful generative AI solutions for enterprise clients.
• Access to exclusive Microsoft partner resources and training.
• A collaborative, innovative, and growth-oriented work environment.
• Competitive compensation and benefits.
• Career development in a rapidly evolving AI landscape.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to LanternWe are seeking an experienced Data Architect to join our team at Lantern. In this role you will play a crucial role in designing and implementing solutions that drive business insights for our clients. This role will be a key resource in our Business Analytics Practice. This role will be client facing, innovating with solutions from the Microsoft Data Platform stack including Fabric, Azure Synapse, Power BI, and SSAS.
The primary objective of this role is to assist our clients in establishing a data platform and data culture that enables them to leverage advanced reporting, analytics, and AI. The Data Architect will be responsible for working with our clients to understand their business and technical requirements, architecting analytics solutions, and providing technical guidance to our consulting team.
• Strategic Advisory, Technical Advisory, and Solution Architecting
• Collaborate with customers to understand their business needs, data challenges, and technical requirements.
• Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics, reporting, and machine learning.
• Conducting customer-facing strategic workshops and assessments of existing data platforms to create recommendations on how to best modernize their data platform using the Fabric and Azure Synapse.
• Architect end-to-end solutions that align with customer goals and maximize Fabric and Power BI capabilities.
• Solution Development
• Creating highly performant and scalable Data Warehouses and Lakehouses using Microsoft Fabric and Azure Synapse.
• Designing and building scalable and efficient data pipelines using Data Factory.
• Adding data validation and quality checks throughout data pipelines.
• Developing enterprise grade Power BI / Analysis Services semantic models.
• Optimizing existing ETL process and data transformations.
• Create technical documentation for solutions that have been built.
• Troubleshoot production systems, address technical issues, etc.
• Team leadership
• Staying up-to-date on the latest features and capabilities being released across Microsoft Fabric.
• Coaching team members around Microsoft Data Platform technology stack.
• Assisting in technical Sales conversations.
• Create growth and opportunity for our clients utilizing technical solutions from our partner, Microsoft.
• Has strong consulting skills gained through experience in a consulting organization.
• Excellent communication and customer service skills.
• Proven track record of working closely with clients to determine their needs and ensure their ongoing satisfaction.
• Genuine interest and ability to quickly switch between multiple clients and initiatives on a frequent basis.
• Experience in Agile software development as a team member.
• Strong meeting facilitation skills.
• Experience in all phases of product, software, and testing lifecycles.
• Able to serve as a liaison between both business and technical teams
• Strong proficiency in T-SQL and Data Warehousing
• Strong proficiency in Apache Spark and Delta Lake for Data Engineering
• Strong proficiency in Fabric or Azure Data Factory pipelines
• DAX, M/Power Query
• Data modeling – Kimball dimensional modeling, semantic/tabular models.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to Lantern• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in cloud solution architecture, with a strong focus on generative AI.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Deep understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure AI Foundry, Azure Functions, Azure AI Search, Azure Storage, and containers in Azure.
• Strong communication and stakeholder engagement skills.
•Experience with Azure AI Foundry or similar enterprise LLM lifecycle platforms.
• Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
• Experience with MLOps, CI/CD for AI workloads, and responsible AI practices.
• Familiarity with Semantic Kernel, or other orchestration frameworks.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to LanternCookies & analytics
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