All active Docker roles based in Calgary.
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Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:
We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.
We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.
This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.
In this role, you will:
You may be a great fit if you:
We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.
MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.
You’ll have opportunities to:
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 is an equal opportunities employer.
REQ ID: 1273389937
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
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
At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems.
We’re looking for a Fullstack Engineer (Level 3) to support the development and delivery of complex, integration-heavy platforms. This role is ideal for a solid engineer who enjoys hands-on development, can deliver features with some guidance, and is growing into owning larger parts of the system.
In this role, you will work as part of a cross-functional team, contributing across the stack while helping build reliable systems and solve integration challenges, including AI-native platforms such as agentic learning systems designed to enable human-centered learning in the Age of AI.
This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate with senior engineers to enhance existing systems and deliver high-quality features.
By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000.
What You’ll Do
Fullstack Development
Workflow & System Orchestration
Backend & API Engineering
System Reliability & Support
Collaboration & Growth
Required Skills & Experience
Nice to Have
Why Join Robots & Pencils?
At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment.
You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products.
If you enjoy building across the stack, solving real integration challenges, and growing within a high-performing, globally distributed team, we’d love to meet you.
Ready to apply?
Apply to Robots and Pencils
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 2025 Design Award winner for Inclusivity.
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.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
An Ideal Candidate Should Have
What we offer
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
• 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).
________________________________________
• 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 LanternCookies & analytics
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