About Us

We’re looking for a Staff Engineer -  User Experience (Backend) to join our Patient Platform team and shape the systems that power patient-facing experiences across our health technology platform. This team owns the APIs, orchestration services, and communication infrastructure that enable secure, reliable interactions between patients and our platform (Email, SMS, notifications).

We are at a critical stage of growth, scaling our platform, modernizing legacy services, and strengthening our event-driven architecture to support increasing patient volume and communication complexity. This role will play a central part in defining how our backend systems evolve as we scale.

As a Staff Engineer -  User Experience (Backend), you will be the technical authority for the Patient Platform domain, translating architectural strategy into scalable, production-ready distributed systems in partnership with cross-functional teams. You will drive the evolution of our API-first architecture (including BFF and orchestration patterns), define and enforce API contracts, and modernize tightly coupled services into scalable, event-driven components. 

This is an opportunity for a senior technical leader who thrives in ambiguity, moves pragmatically, and enjoys balancing hands-on engineering with architectural influence.

You will strengthen reliability, observability, and fault tolerance across distributed systems, scale and harden our patient communication platform (Email, SMS, notifications), and design secure systems handling sensitive patient and identity data in regulated environments. Additionally, you will champion best practices in automated testing, CI/CD, and secure development while elevating engineering standards through mentorship, design reviews, and technical leadership.

This is a fully remote role, open to candidates based in Ontario, with flexibility to collaborate across Pacific and Eastern time zones.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! 

What You’ll Do

• Lead design and modernization of our patient-facing backend services
• Drive API design best practices, including BFF and orchestration patterns
• Define and enforce API contracts and cross-service communication standards
• Design and implement event-driven workflows using AWS EventBridge and async messaging
• Improve reliability and fault tolerance of communication pipelines (email, SMS, notifications)
• Ensure secure authentication and authorization is consistently implemented across APIs
• Untangle tech debt and make high-leverage decisions that improve engineering velocity
• Design secure, scalable systems that handle sensitive patient and identity data
• Mentor engineers across the team and elevate system design standards
• Collaborate cross-functionally with Product, Architecture, Security, QA, Clinical, and Frontend teams
• Communicate complex technical concepts clearly to cross-functional stakeholders and leadership, influencing architectural direction and product decisions
• Advocate for improvements in developer experience, testing practices, and system observability

What You’ll Bring

• 10+ years of backend engineering experience, including platform or high-scale distributed systems
• Strong experience in Python (FastAPI, Flask) or similar modern backend frameworks
• Deep expertise designing event-driven architectures in AWS (EventBridge, SQS/SNS, Lambda, ECS)
• Experience building and operating async task processing systems (e.g., Celery or similar)
• Proven ability to define and govern REST and/or GraphQL APIs at scale
• Strong understanding of service boundaries, microservices, and async service-to-service communication
• Experience designing highly observable systems (metrics, tracing, alerting — e.g., Datadog or similar)
• Experience implementing secure authentication and authorization (OAuth2, JWT, service-to-service security)
• Experience working with Postgres, DynamoDB, and distributed caching systems (e.g., Redis)
• Familiarity with Infrastructure as Code (Terraform/CDK) and mature CI/CD practices
  Experience designing systems in regulated environments handling sensitive data (HIPAA, PHI/PII)
• Excellent technical communication skills and demonstrated cross-team architectural influence
• Ability to operate effectively in ambiguity and drive clarity across teams

Nice to Have

• Experience building or scaling communication platforms (email delivery systems, SMS gateways, notification orchestration)
• Familiarity with BFF patterns supporting React or modern frontend applications
• Hands-on experience with contract testing frameworks (e.g., Pact)
• Experience navigating the challenges of a startup transitioning into a scale-up
• Experience with healthcare or regulated environments (HIPAA, PHI/PII)
• Familiarity with security and privacy standards (e.g., HIPAA, ISO 27001, ISO 13485)

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
• The base salary for this role ranges from $180,000- $210,000 in local currency, depending upon experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

Overview:

Guidepoint’s Engineering team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new products to optimize the seamless delivery of our services.

This position is hybrid in Toronto.

What You’ll Do:

• Service Decomposition — Breaking apart a monolithic enterprise application into well-bounded, independently deployable services. You'll define service boundaries, design APIs and contracts between them, and plan a phased migration strategy that keeps the business running while the architecture evolves.
• Data Migration — Leading the migration from a large, centralized multi-tenant database to smaller, domain-specific databases. This includes designing the target schemas, building migration tooling, handling data integrity and validation, and coordinating cutover with minimal downtime.
• Developer Experience & Standards — Establishing patterns, shared libraries, and CI/CD practices that make it easy for the rest of the engineering team to build on the new architecture with confidence.

What You Have

• 8+ years of experience in backend or full-stack engineering, with a demonstrated history of owning and delivering complex technical initiatives in enterprise environments.
• Architect Mindset with IC Ownership — You operate independently, make sound technical decisions, and drive projects from design through delivery without needing to be managed.
• Modernization Expertise — You have a track record of migrating or re-architecting legacy codebases into modern, maintainable systems without disrupting business continuity.
• Builder of New Services — You can design, build, and ship greenfield services end-to-end with production-grade quality.
• Fast-Paced Execution — You thrive in environments that value speed and iteration. You unblock yourself and move quickly without sacrificing quality.
• AI-Augmented Engineering — You actively leverage AI-assisted development tools (Cursor, etc.) to accelerate your workflow, and you know how to validate and monitor AI-generated output to ensure correctness and reliability.
• Backend & APIs — Strong Python proficiency with hands-on FastAPI experience.
• Ability to design and build performance, well-structured REST and GraphQL APIs.
• Databases — Deep experience with relational databases — PostgreSQL and/or SQL Server. Proficient in schema design, query optimization, and migrations.
• Messaging & Events — Working knowledge of asynchronous messaging patterns using RabbitMQ, Azure Service Bus, and/or Azure Event Hub.
• Infrastructure & CI/CD — Experience with containerized deployments on Kubernetes (K8s) and building/maintaining CI/CD pipelines (Azure DevOps, or similar).
• Frontend — Comfortable contributing to frontend codebases in React and TypeScript. You don't need to be a frontend specialist, but you can ship UI changes when needed.
• Observability — Hands-on experience with Datadog or equivalent platforms for monitoring, logging, distributed tracing, and alerting in production systems.

What We Offer:  

The annual base salary range for this position is $160,000 - $180,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid Time Off
• Comprehensive benefits plan
• Company RRSP Match
• Development opportunities through the LinkedIn Learning platform

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

#LI-SP1

#LI-HYBRID

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

We are a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits. 

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

What's in it for you:

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

• Gym discounts 

• Employee and Family Assistance program 

• Virtual wellness events 

• Conferences & training budget 

• Regular internal training programs 

• Financial planning with 3% matching Pension  

• Competitive salary 
• Annual bonus structure 

For a career where you can drive our business and shape your future, apply now. 

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.

You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.

What You’ll Do

• Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
• Explore, analyze, and prepare large datasets for modeling and experimentation
• Design, build, and validate statistical, predictive, and machine learning models
• Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
• Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
• Lead data modernization & migration projects at large enterprises
• Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
• Stay current with emerging data science, AI, and machine learning techniques and tools

Qualifications

• Minimum 5+ years of experience in a data science, machine learning, or solution architect roles
• Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
• Solid foundation in statistics, probability, and machine learning techniques
• Experience designing and managing the build-out of  cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift)
• Familiarity with model deployment, monitoring, and lifecycle management
• Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
• Experience collaborating with data engineering teams on production-grade solutions
• Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in
• Excellent communication and presentation skills
• Experience working in agile, consulting, or cross-functional environments

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package
• Socials, Outings & Retreats
• Retirement Planning
• Parental Leave Program
• Annual tech & travel allowance
• Culture of Learning & Development
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

High-Level Overview

Benevity is seeking a talented Senior Staff Developer, who has an extensive record of hands-on Full Stack Development and Architecture experience. This role, reporting to the Director of Engineering, plays a crucial part in shaping and executing on the technical strategy across different teams and layers of the technology organization.

What you'll do:

Mixture of leadership and technical background

• Full stack solution design expert for technology initiatives using public cloud platforms  spanning multiple teams and domains within the organization.
• Demonstrated experience in one or more of the following domains: 
• Data processing & lifecycle management
• Multi-region data distribution and compliance management
• Data quality, observability, audit
• Content & digital asset management
• Personalized search solution and indexing strategy
• Domain driven design patterns
• Ensure security best practice across the technology stack using cloud native solution design.
• Create and maintain technical documentation related to architecture, decisions record, and implementation processes.
• Drive higher performance, agility and time to market by promoting the adoption of industry standard tools and processes across teams.
• Ideate and implement Proof of Concepts for technical and product advancement.
• Work with Principal Architects to lead the technical direction of our organizational strategy through implementing robust, extendable, and reusable architecture patterns.
• Provide mentorship and guidance to senior and staff developers, encouraging continuous learning and professional development through practical, hands-on examples and constructive feedback, and fostering a collaborative and inclusive team environment.
• Collaborate with product managers, staff developers, and other stakeholders to translate business requirements into technical specifications.

What you'll bring:

• 8+ years of scalable  development experience, with lead and software design accountabilities.
• 2+ years in a leadership role on building scalable platforms, technology transformation and modernization initiatives.
• Solid understanding of software architecture, design patterns, and principles
• The ability to connect designs to implementation with an API-first approach expertise with loosely coupled systems, and domain driven design
• Experience with event-driven architecture and decoupled services
• Proficiency in agile methodologies, Infrastructure-as-Code, DevSecOps best practices, and automated test frameworks
• Comfort with abstract problem-solving and ambiguous challenges
• Well versed in adapter architecture and integration design patterns
• AI driven development with ethical and secured software delivery practice
• Proven track record of building performant, scalable and cost effective products
• Proficiency in Object-Oriented programming methodologies, particularly using Java and Python programming languages. 
• Experience with application frameworks such as Spring Boot and FastAPI
• Strong experience domain driven database design to manage datasets using relational, document and warehouse database engines
• Ability to improve velocity and impact by eliminating technical debt.
• Hands-on experience with designing and implementing enterprise technology and data engineering solutions
• Well versed in integration patterns.
• Extensive experience with cloud-native infrastructure in AWS and GCP cloud platforms. Familiarity with Azure is a plus.
• Experience building scalable and automated software delivery supply chain using CI/CD concepts using technologies such as GitHub Actions and Jenkins 
• Experience in configuration driven data engineering knowledge developing scalable and extensible ETL and ELT based data processing.
• Commitment to continuous improvement in code, processes, and team development
• Excellent communication skills, translating user needs into actionable technical plans
• Degree in Computer Science, Computer Engineering or equivalent professional experience

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

WHAT YOU'LL DO

Join the AI Platform team at Braze to build and scale BrazeAI Decisioning Studio - a reinforcement learning platform at the forefront of AI Decisioning. The platform runs continuous experimentation and personalizes customer engagement at the individual level, helping brands move from rule-based campaigns to autonomous, self-optimizing interactions. You'll work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.

Main responsibilities:

• Build and maintain critical services and subsystems on our AI platform, balancing performance with cost-effective operations
• Implement cloud-native solutions that ensure reliability, scalability, and fault tolerance
• Troubleshoot production incidents end-to-end, going deep to identify root causes and implement durable fixes
• Contribute to observability practices using Sentry and Datadog to proactively detect issues and minimize downtime
• Collaborate with data scientists, ML engineers, and product teams to translate real-world use cases into platform capabilities
• Improve developer experience by streamlining workflows, enhancing tooling, and supporting MLOps best practices

Tech stack:

• Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, Streamlit
• Platform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, Terraform
• Workflows & Orchestration: Airflow, RabbitMQ, Celery
• CI/CD: GitHub Actions, Jenkins
• Observability: Sentry, Datadog

Why this role:

• Production ML at scale: no toy datasets or notebook demos; you’re building infrastructure that powers real AI workloads
• Engineering rigor: unit and integration tests, modular design, CI/CD, pair programming, and code reviews are how we work, not aspirations
• Learn continuously: deep exposure to ML system architecture, end-to-end ML workflows, and reinforcement learning systems

WHO YOU ARE

• 2-4 years of experience in platform engineering, infrastructure, or a related backend role
• Solid understanding of platform architecture, particularly in ML or data-intensive environments
• Hands-on experience with Kubernetes and cloud infrastructure (GCP preferred)
• Ability to troubleshoot complex distributed systems under pressure
• Writes clean, modular code with a focus on testable APIs and maintainable design
• Experience working with AI coding assistants. Understands effective prompting strategies and can articulate when these tools add value versus when they're not appropriate
• Clear communicator who can work across technical and non-technical stakeholders
• Proactive problem solver who identifies issues and works around obstacles without waiting for direction

For candidates based in Ontario, the pay range for this position at the start of employment is expected to be between CA$125,280 and CA$235,736/year with an expected On Target Earnings (OTE) between CA$139,200 and CA$258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Rumble Cloud is seeking a Principal Software Architect (Python) to own the design and hands-on implementation of our Self-Service Cloud Portal and Cloud Console, the primary interfaces customers use to manage their cloud environments. Our stack is built on OpenStack and Ceph, with a customer surface that includes a self-service portal, an enhanced open-source cloud console, and integrated CRM/ERP-based billing and account management.

This role combines architectural leadership with significant day-to-day coding. You will define the architectural roadmap, guide the team in building scalable, maintainable services, and personally deliver high-quality Python code. Partnering with backend, Golang, and React/TypeScript teams, you will ensure cohesive design, strong performance, and an excellent developer and customer experience, while helping prioritize work and mentoring engineers without direct people management responsibilities.

Key Responsibilities
Architecture and Technical Vision

• Define, document, and communicate architectural patterns, standards, and best practices for backend services, microservice integration, and portal-wide interoperability.
• Evaluate the current codebase (including CRM/billing integration and cloud console frontend) and chart a practical path toward a scalable, maintainable architecture.
• Design architectures that support multi-tenant SaaS scale, observability, reliability, and future extensibility.
• Maintain architecture diagrams, service specifications, and operational design records for cross-functional transparency.
• Collaborate with platform and infrastructure teams to align service design with Rumble Cloud OpenStack/Kubernetes-based runtime environment.

Hands-On Development
• Contribute clean, efficient Python code (e.g., FastAPI, SQLAlchemy, Jinja2) for key backend components; this role requires sustained coding, not occasional guidance.
• Build and extend backend functionality that interfaces with RESTful APIs and SQL databases.
• Partner with Golang service teams and frontend developers (React/TypeScript) for seamless integration across the product ecosystem.
• Analyze product requirements and implement new features end-to-end, proactively identifying and addressing potential issues.

Planning, Prioritization, and Delivery
• Translate product-level requirements and customer needs into actionable roadmaps, epics, and tickets.
• Help prioritize features and technical debt based on impact, dependencies, and realistic timelines.
• Drive continuous improvement in the delivery lifecycle, including code review practices, release automation, and GitHub/GitHub Actions workflows.
• Help design and implement an SDLC and SSDLC with repeatable processes for planning, development, testing, deployment, and security review.
• Identify risks and blockers early and work with stakeholders to resolve them before they affect delivery.

Mentorship and Team Guidance
• Guide senior and mid-level engineers through design reviews, pair programming, and technical planning.
• Document designs and mentor engineers to grow their architectural thinking and engineering skills.
• Communicate technical decisions and trade-offs clearly to both engineering and non-technical stakeholders.
• Collaborate with other teams and departments on integrating new functionalities and services.

Qualifications
Required Qualifications
• Expert-level Python development experience, including SQLAlchemy, Jinja2, and modern API frameworks (e.g., FastAPI, Flask, Gunicorn).
• Strong experience designing and implementing RESTful APIs and resource servers, including working with incomplete or minimal SDK documentation.
• Experience designing and implementing authentication and authorization mechanisms such as OAuth2 and OpenID Connect.
• Strong understanding of relational databases (PostgreSQL, MySQL), ORM patterns, and schema design.
• Demonstrated experience architecting distributed systems or service-oriented architectures at production scale.
• Proficiency with object-oriented and functional programming concepts.
• Proficiency with containerized development (Docker) and cloud-native deployment environments (Kubernetes).
• Hands-on familiarity with Git-based workflows, including GitHub, pull requests, and CI/CD pipelines.
• Ability to synthesize product-level requirements into actionable technical roadmaps and system designs.
• Excellent communication and mentoring skills, with a track record of guiding engineering teams toward delivery excellence.
• Demonstrated ability to act as a hands-on technical leader while maintaining architectural oversight across multiple services and teams.
• Strong problem-solving and debugging skills across complex, distributed systems.
• Ability to work effectively in a fast-paced environment, balancing immediate delivery needs with long-term architectural goals.
• Willingness to learn, be challenged, and contribute in a dynamic, fast-paced environment, with a passion for cloud-native development and open-source tooling.

Preferred Qualifications
• Strong Go (Golang) programming experience, with the ability to contribute to and review Go-based services.
• Familiarity with OpenStack APIs, services, or the broader OpenStack ecosystem.
• Familiarity with Ceph or other distributed storage systems.
• Experience with the Odoo ERP/CRM platform, including module development, customization, or integration into SaaS products.
• Background working with or extending open-source cloud console or dashboard projects.
• General familiarity with public cloud concepts (e.g., AWS, Google Cloud, Microsoft Azure).
• Experience building SaaS in a multi-tenant environment, including tenant isolation, usage metering, and self-service provisioning.
• Experience with OpenStack or Kubernetes API development, control panel design/architecture, and test-driven development with Pytest.
• Experience working within public cloud / IaaS products
• Intermediate experience or higher in 1 or more programming languages (ie: Go, C, C++, Python, Rust)
• Experience working with Rocky or Ubuntu in live environments.
• Experience working with MySQL and/or PostgreSQL 

Annual Compensation Range: 

$150,000 - $186,000 CAD base + benefits + equity (If based in Canada)

$160,000 - $195,000 USD base + benefits + equity (If based in the United States)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience.

This posting refers to an active vacancy within the organization.

S'more about the team

The Production Scheduling Technology team builds and maintains the platform that powers how HelloFresh plans, sequences, and optimizes production across our operations. Our team has developed the first iteration of the next-generation internal system with a planning engine that now automates the end-to-end planning process – a system with deep impact on how millions of meals move through our network.

As we continue evolving this system, extending its capabilities, and preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack fluency to support and enhance our internal application.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Lettuce share what this role will be responsible for

• Build, enhance, and co-own the Python-based algorithmic engine that drives automated planning, including deterministic logic and constraint-based components
• Design, develop, and maintain backend services using FastAPI, ensuring scalable, reliable API interactions with our internal application
• Work end-to-end across architecture, implementation, deployment, and operations within our modern technology ecosystem (EKS, RDS, S3, ElastiCache, Glue, etc.)
• Collaborate closely with engineers, analysts, and planners to translate domain knowledge into robust, maintainable system logic
• Contribute to the evolution of the platform toward event-driven patterns using technologies like Kafka
• Support frontend needs for our internal React application, ensuring seamless integration between FE and BE layers
• Improve reliability through automated testing, performance tuning, and thoughtful system design
• Guide as well as learn through pairing, design discussions, and knowledge sharing to help strengthen collective ownership across a strong, team-first environment
• Participate in shaping the future direction of an advanced system

Sound a-peeling? Here's what we're looking for

• Build, enhance, and co-own the Python-based algorithmic engine that drives automated planning, including deterministic logic and constraint-based components
• Design, develop, and maintain backend services using FastAPI, ensuring scalable, reliable API interactions with our internal application
• Work end-to-end across architecture, implementation, deployment, and operations within our modern technology ecosystem (EKS, RDS, S3, ElastiCache, Glue, etc.)
• Collaborate closely with engineers, analysts, and planners to translate domain knowledge into robust, maintainable system logic
• Contribute to the evolution of the platform toward event-driven patterns using technologies like Kafka
• Support frontend needs for our internal React application, ensuring seamless integration between FE and BE layers
• Improve reliability through automated testing, performance tuning, and thoughtful system design
  
  

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

Working Conditions

It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process. 

Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.