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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.
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 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:
- Building out the OneVest mobile application in React Native, using GraphQL APIs
- Partnering cross-functionally to collaborate on solution design, balancing technical excellence with delivery velocity
- Leading technical design and architecture of large-scale features by designing and breaking down complex epics into deliverable stories and tasks
- Continuously improving our codebase and developer experience by identifying and resolving systemic technical debt, adopting new/better practices and tools
- Owning the mobile lifecycle, from local development and automated testing to CI/CD and store deployments
- Mentoring and providing leadership through technical reviews for product stories and providing feedback to peers through code and architecture review
- Proactively managing project risks and cross-team dependencies while resolving complex technical issues and customer escalations
- Championing best practices across quality, patterns, tools and processes to ensure both OneVest and our platform scales for enterprise customers
Must Haves:
- 8+ years mobile development experience with a strong focus in React Native, and JavaScript/TypeScript
- Proven ability to architect, develop and maintain mobile applications for enterprise scale
- Experience with FastLane, Expo, App/Play stores, TestFlight, etc., for build, CI/CD, and deployment tools for react-native applications
- Proven ability to effectively contribute to technical strategy and roadmaps
- Expertise in designing scalable and performant front end architectures integrating with complex GraphQL microservice backends
- Strong communication skills, capable of articulating complex technical decisions to a wide audience
Location: This role is open to candidates across Canada
What It’s Like To Work With Us:
- Culture: It’s fun, rewarding, fast-paced - and we build cool stuff, too!
- Vacation: 4 weeks of vacation in addition to a company wide shutdown between Christmas and New Year
- Flexibility: A flexible & hybrid working environment
- Health & Wellness: Comprehensive Group Health, Dental and Vision Benefit Plan right from the start
- Equity: Employee Stock Option Purchase Plan
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
Tech Lead, Web Core Product & Chrome Extension - Calgary, Canada
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
- Actively ship production code to the web products
- Work closely with your dedicated product team
- Participate in product discussions to shape the product roadmap
- Have the opportunity to work on new and exciting features that will impact millions of lives
An Ideal Candidate Should Have
- Experience. You've built and ship products that have scaled to thousands or millions of users
- Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
- Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript
What We Offer
- A fast-growing environment where you can help shape the culture
- An entrepreneurial crew that supports risk, intuition, and hustle
- A hands-off approach so you can focus and do your best work
- The opportunity to make an impact in a transformative industry
- A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
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.
Ready to apply?
Apply to Speechify
Generative AI Developer – Microsoft Azure AI Stack
Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Key Responsibilities
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Skills, Knowledge and Expertise
• 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.
Required Qualifications:
• 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).
________________________________________
What We Offer:
• 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 LanternEmbracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Data Architect
We 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.
Key Responsibilities
• 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.
Skills, Knowledge and Expertise
• 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.
Benefits
- A culture that both wows our customers and employees;
- Variety of challenging projects, and the ability to work with leading-edge technologies;
- Competitive salary & group benefits;
- Generous training and education opportunities;
- Diverse team social events;
- Be part of a team that believes in diversity, inclusion, and a fun atmosphere!
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 LanternSolution Architect – Generative AI (Azure AI Stack)
Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Key Responsibilities
This role is ideal for someone passionate about transforming business processes through large language models (LLMs), multi-agent orchestration, and scalable AI infrastructure.
Skills, Knowledge and Expertise
• 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.
Preferred 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 Lantern