About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. 75 min hands-on technical interview with a Senior Engineer.
4. 2-3 video interviews with key members of the Customer Success and Product teams.
5. 30 min interview with the SVP of Engineering - Data Strategy.

The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

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 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: 1273376291

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

The Interview Overview:

Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min - Phone call with a member of our Talent Team
2. 75 min - Zoom interview with the Hiring Manager
3. Skills Evaluation - Take-home Assignment
4. 75 hr - Technical Interview with Team
5. 30 min - Executive Interview

The Interview Overview:

Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min - Phone call with a member of our Talent Team
2. 75 min - Zoom interview with the Hiring Manager
3. Skills Evaluation - Take-home Assignment
4. 75 hr - Technical Interview with Team
5. 30 min - Executive Interview

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 

• Build and maintain backend services using Node.js (and some Python), including serverless architectures (e.g., AWS Lambda, API Gateway)  

• Develop and integrate APIs that support frontend applications and external systems  

• Contribute to frontend features and ensure smooth integration across the stack  

• Write clean, maintainable, and well-tested code with solid unit testing practices  

Workflow & System Orchestration 

• Contribute to workflows using orchestration tools (e.g., workflow engines, state machines)  

• Support event-driven processes and asynchronous system operations (e.g., SQS, EventBridge)  

• Help improve system reliability through error handling and retries  

Backend & API Engineering 

• Develop RESTful APIs and contribute to backend architecture  

• Integrate with third-party services and internal systems, including AI-driven platforms  

• Assist in optimizing performance and scalability of services (e.g., DynamoDB patterns)  

• Follow secure and reliable data handling practices  

System Reliability & Support 

• Troubleshoot issues in production environments with support from senior team members  

• Contribute to logging, monitoring, and debugging efforts  

• Assist with deployment and release processes in cloud-native environments (AWS, Docker)  

Collaboration & Growth 

• Work closely with cross-functional teams across global locations  

• Participate in code reviews and team discussions  

• Deliver assigned features end-to-end with guidance  

• Continue developing technical skills, including AI-assisted development tools  

Required Skills & Experience 

• 3–5 years of professional software engineering experience  

• Strong experience with Node.js  

• Experience building and maintaining fullstack applications  

• Basic to intermediate experience with cloud environments (AWS preferred)  

• Familiarity with API design and backend systems  

• Familiarity with databases (SQL and/or NoSQL)  

• Experience working in production environments  

• Solid unit testing practices  

• Experience with containerization (e.g., Docker)  

Nice to Have 

• Experience with Python  

• Exposure to event-driven architectures  

• Familiarity with AWS services (Lambda, DynamoDB, S3, SQS, etc.)  

• Exposure to workflow orchestration tools  

• Exposure to AI/LLM-based systems (e.g., LangChain, LangGraph)  

• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., CDK)  

• Experience working in collaborative, distributed teams  

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. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. 

We’re looking for a Senior Fullstack Engineer to help build and maintain modern applications that integrate backend services, orchestration systems, and scalable APIs. You will work across the stack using Node.js, contributing to backend services and supporting frontend integrations while working within established architectures.  

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 closely 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 

• Build and maintain backend services using Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)  

• Develop and integrate APIs that support frontend applications and external systems, including institutional platforms and AI-driven services  

• Contribute to frontend features using modern state management (e.g., Redux Toolkit with slices, async thunks, memoized selectors) and accessible, interactive UI patterns such as drag-and-drop with keyboard and screen reader support  

• Write clean, maintainable, and well-tested code, maintaining high test coverage (90%+ across unit and integration tests)  

Workflow & System Orchestration 

• Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines)  

• Contribute to event-driven processes and asynchronous system operations (e.g., message queues, distributed workflows)  

• Assist in improving reliability through better error handling and retries  

Backend & API Engineering 

• Develop RESTful APIs and support microservices architecture  

• Integrate with third-party services and internal systems, including large-scale institutional data platforms  

• Assist in optimizing performance and scalability of services using patterns such as NoSQL single-table design (composite keys, transactional writes)  

• Implement secure and reliable data handling practices  

System Reliability & Support 

• Troubleshoot issues in production environments with guidance from senior team members  

• Contribute to logging, monitoring, and debugging efforts  

• Support deployment and release processes in cloud-native environments  

Collaboration & Growth 

• Work closely with cross-functional teams across global locations, contributing to large-scale platforms such as next-generation degree planning systems for university partners  

• Participate in code reviews and team discussions  

• Take ownership of assigned features and tasks, delivering end-to-end solutions from UI to API to database  

• Continue developing technical skills and learning new technologies  

Required Skills & Experience 

• 4–6 years of professional software engineering experience  

• Strong experience with Node.js  

• Experience building and maintaining fullstack applications, including delivering features end-to-end across frontend, backend, and data layers  

• Exposure to workflow orchestration tools (e.g., Sequencer or similar systems)  

• Solid understanding of API design and backend systems  

• Experience working with cloud environments (AWS preferred), including serverless architectures  

• Familiarity with databases (SQL and/or NoSQL, including scalable design patterns)  

• Experience working in production environments  

Nice to Have 

• Experience with Python  

• Exposure to event-driven architectures  

• Familiarity with AWS services (Lambda, SQS, Step Functions, etc.)  

• Experience with CI/CD pipelines  

• Exposure to AI/LLM-based systems and data-driven platforms  

• Experience working in collaborative, distributed teams  

• Experience building user-centric platforms with modern, accessible frontend architectures  

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 such as platforms that modernize user experiences through real-time, data-driven guidance. 

If you enjoy building across the stack, solving real integration challenges, and being part of a high-performing, globally distributed team, we’d love to meet you. 

About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our base salary is targeted at $99-133k CAD. Final offer amounts are determined by factors such as experience and expertise.
• 🏆 Syndio Equity. So you can share in Syndio’s success.
• 🏝 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave. 
• 💊 Private Medical Coverage
• 🔌 Monthly Electronics Reimbursement
• 🏠 WFH Stipend
• 📍 Remote-First (within commuting distance of Calgary) #LI-Remote 

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Forward Deployed Engineering position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. Technical/Strategic Evaluation: A take-home or live case study focusing on:
• Designing a data ingestion plan for a complex client.
• Demonstrating how you leverage AI prompting to solve an implementation exception.
• Creating a "theoretical" plan for group setup and user adoption.
4. 45 min technical interview with a Senior Engineer to walk through your code or logic.
5. 2-3 video interviews with key members of the Customer Success and Product teams.
6. 30 min interview with the SVP of Engineering - Data Strategy.

About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $150-175k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝 Generous vacation policy.
• 🩺  Medical, Dental, Vision.
• 📍Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI.

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Senior Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. 45 min technical interview with a Senior Engineer to walk through your code or logic.
4. 2-3 video interviews with key members of the Customer Success and Product teams.
5. 30 min interview with the SVP of Engineering - Data Strategy.

About the Role

We are looking for a skilled and motivated Senior Site Reliability Engineer (SRE) who will design, implement, maintain, and evolve solutions that increase the reliability and availability of our applications and systems. We strive for close collaboration, shared ownership, and constant learning. As a Senior SRE, you will apply software principles to ensure our applications are designed to eliminate single points of failure, provide maximum observability, and experienced failures are resolved quickly and efficiently.

We are looking for someone who is passionate about SRE practices and methodologies to solve business requirements, constantly seeking new techniques, tools, and solutions to enhance our systems. As a startup in a fast-paced high growth environment, we are looking for an engineer that isn't bound by principles assigned to traditional engineering roles. You’ll be exposed to, develop skills in, and be responsible for work that may at times fall into the traditional world of platform, data, security, and software engineering. We use Kubernetes and Terraform almost exclusively in a 100% cloud-based environment, and are looking for an SRE who is still growing, comfortable in their knowledge of these technologies, and has relevant experience managing Kubernetes applications in an SRE role. 

• Be a critical member in our engineering organization designing, implementing, managing, and reviewing infrastructure and application operational and architectural state
• Design, implement, and operate production systems using best practices in automation, monitoring, and observability
• Collaborate with developers, SRE’s, and other engineers to ensure smooth deployments, minimize downtime, maximize observability, share knowledge, and contribute to continuous improvement initiatives
• Experiment with cloud infrastructure environments and services
• Technologies you will work with: GCP, Kubernetes, Terraform, Helm, Datadog, Python, Go, and more
• Participate in 24/7 on-call rotation- (https://status.synd.io/)

About You

• 5+ years of experience in Site Reliability Engineering or similar role operationalizing and maintaining cloud services
• Strong experience with Infrastructure as Code (IaC) tools such as Terraform
• Strong experience with Linux, Kubernetes, Helm and public cloud platforms such as GCP
• Experience with monitoring and alerting tools such as Datadog.
• Experience with CI/CD pipelines and GitOps model for deployment
• Ability to diagnose technical problems, debug code, and automate routine tasks
• Experience in Python and/or Go programming language is a plus
• Experience with security best practices for cloud deployments is a plus
• You are self-disciplined, self-motivated, and have strong sense of ownership, urgency, and drive
• You are available and willing to step in for emergency response and incident management
• You assume positive intent, are humble and eager, expect the best from yourself, value partnership over perfection, and provide grace and understanding in stressful situations

• 💰 Competitive Compensation. For this role our base salary is targeted at $130k-145k CAD. Final offer amounts are determined by factors such as experience and expertise
• 🏆  Syndio Equity. So you can share in Syndio’s success
• 🏝 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave
• 🏦 Pension Contribution
• 📍 Remote-First with opportunities for local meet-ups in Calgary #LI-Remote 

Role Progression

• Within 1 month, you’ll complete a comprehensive and supportive onboarding process and be able to make isolated contributions to the product, developer tooling, and infrastructure

• Within 3 months, you’ll have a grasp of the complete set of components (services, tools, configuration, etc.) that make up the product and infrastructure. You will continue to make contributions. You will be a full member of the on-call rotation.

• Within 12 months, you’ll be able to suggest and implement complex changes to the infrastructure, developer tooling, and capacity planning.

Interview overview

Below you'll find an outline of the interview plan for our Senior Site Reliability Engineer position. Please note that while this is what we expect the process to look like, we may ask you for supplemental information or require an additional step before making a final decision.

1. Recruiter Screen - 25min
2. Hiring Manager - 30min
3. Take-home Skills Evaluation
4. Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
5. Final Interview - Engineering Leader - 30min

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

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

• Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
• Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
• Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
• Work closely with data scientists and software engineers as a key member of the product development team
• Act as the model owner and subject matter expert when interfacing with Regulators and Customers
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
• Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

• 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

○  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

• Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
• Outstanding communication skills, well-versed in building executive-style presentations
• Ability to manage multiple/competing priorities and deliver on time
• Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
• Proficient in SQL, Excel, Python
• Must be legally eligible to work in Canada

Nice to Have:

• Exposure to insurance, real estate, and risk modeling
• Experience working with computer vision models

Why ZestyAI:

• Be a part of a well-funded growth-stage start-up
• Work with a high-performance product team and cutting-edge development team
• Market competitive comp and equity incentives to give you a stake in our future
• Remote-first policy
• Flexible Time Off
• Comprehensive benefits package
• Home office setup stipend
• Annual Learning and Development allowance
• An upbeat and collaborative work culture
• Company-sponsored outings and offsites

Analytics Engineer   

We are seeking an experienced Analytics Engineer to join our Data Solutions team in North America. This role will combine technical expertise with strategic vision to drive the adoption and optimization of Sigma across our client base and internal teams.  

Ideal candidates will be able to:  

• Lead the development and implementation of visualizations that communicate complex data analyses to non-technical audiences showcasing best practices and innovative approaches using tools such as  

• Establish and manage the Business Intelligence Center of Excellence, creating standards, guidelines, and training materials  

• Collaborate with cross-functional teams to design and implement data solutions that align with client business objectives  

• Manage the analytics engineering and visualization lifecycle, including research, proof of concepts, architecture, design, development, testing, and maintenance  

• Generate visualizations that communicate complex data analyses to non-technical audiences  

• Partner with client stakeholders to foster the adoption of best data management practices  

• Mentor and develop junior team members  

• Support sales cycles by leading scoping discussions and building proof of concept solutions  

• Stay current with Business Intelligence tools and visualizations updates and industry trends, sharing knowledge across the organization  

Qualifications:  

• 5+ years of experience in data analytics, business intelligence, or related field  

• 2+ years of experience in Sigma Computing with advanced proficiency in other tools such as PowerBI, Looker, Omni etc  

• Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Azure, AWS)  

• Experience with modern data stack tools such as dbt, Fivetran, Matillion, or similar  

• Familiarity with Python and other programming languages used in data analysis  

• Understanding of data architecture, data warehousing, and ETL/ELT processes  

• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences  

• Experience in consulting or client-facing roles  

• Track record of successful project delivery using Agile methodologies  

Personal Qualities:  

• Passionate about data and its potential to drive business value  

• Strong leadership and mentoring abilities  

• Proactive problem-solver with a results-oriented mindset  

• Adaptable and eager to learn new technologies and methodologies  

• Excellent interpersonal skills with a people-first mentality  

Join us in revolutionizing how businesses leverage Sigma and analytics to drive success!  

Key Responsibilities

Skills, Knowledge and Expertise

Key Responsibilities

Skills, Knowledge and Expertise

Preferred Skills

What You Will Do

As an Integration Consultant on our Data Solutions team, you'll be responsible for scoping, designing, implementing, and testing integration solutions across a wide range of enterprise platforms. Working closely with client partners, you'll develop relationships with key technical stakeholders while delivering measurable business value through well-architected, maintainable integrations. You'll contribute across the full project lifecycle, from pre-sales and discovery through deployment and client enablement, and collaborate with teammates across CLM, Salesforce, and Data practices.

Ideal candidates will be able to:

• Design and implement API-based integrations using REST and SOAP principles across cloud and on-premise systems
• Build and test integrations using middleware platforms including Workato, MuleSoft, Boomi, Celigo, or similar tools
• Use Postman (or equivalent) for API exploration, testing, scripting, and automation
• Develop integrations connecting platforms such as Salesforce, DocuSign CLM / SpringCM, Snowflake, NetSuite, Workday, and other enterprise business systems
• Translate client business requirements into clear integration specifications, field mappings, and data flow documentation
• Troubleshoot complex integration failures including authentication issues, payload formatting, and API versioning conflicts
• Support data migration projects involving staging, transformation, and validation of records across systems
• Contribute to pre-sales activities including scoping, estimation, and solution design

Qualifications

• Bachelor's degree or higher
• 3–6 years of professional consulting or relevant industry experience, including enterprise system implementations or integration development
• Solid understanding of API fundamentals — REST, SOAP, OAuth 2.0, JSON/XML, webhooks, and error handling patterns
• Hands-on experience with Postman for API testing, scripting, and collection-based workflows
• Experience configuring or developing on at least one major middleware platform (Workato, MuleSoft, Boomi, or similar)
• Familiarity with Salesforce data structures, APIs (REST, Bulk, Metadata), and data movement patterns
• Exposure to CLM platforms such as DocuSign CLM / SpringCM, Ironclad, or Agiloft is a strong plus
• Excellent communication skills — able to explain technical concepts clearly to both technical and non-technical audiences
• Ability to manage day-to-day client relationships and maintain a prioritized workstream independently

Nice to Have:

• Certifications in Workato, MuleSoft, Salesforce, or similar platforms
• Experience with SQL or Python for data transformation and scripting
• Exposure to CLM workflow configuration or document automation
• Exposure to CRM systems, sales processes, revenue pipelines, customer service, etc.
• Familiarity with CI/CD practices, version control (GitHub/Bitbucket), or agile delivery methodologies
• Knowledge of ERP systems such as NetSuite, SAP, or Workday in an integration context
• Experience with AI-assisted tooling or emerging integration patterns
• Experience migrating data into Salesforce

Location: Calgary Headquarters
Position Type: Internship (40 hours a week)
Term Length: 8 or 12 months starting May 2026
Reports to: Analyst 

About Orennia

Orennia provides an all-in-one platform for accurate data, predictive analytics and actionable insights across the energy transition. We drive faster capital allocation decisions and help our clients maximize returns across the solar, wind, storage, power, RNG, CCUS, clean fuels and hydrogen sectors. The technology that powers Orennia’s platform delivers an unparalleled experience, distilling information into actionable insights to give our clients a competitive edge.

As the world decarbonizes its energy stack, trillions in capital need to be deployed. Global investment in the energy transition must quadruple to over $5 trillion annually to stay on the 1.5°C pathway, according to the International Renewable Energy Agency. Without accurate data and predictive analytics, developers and investors will struggle to deploy capital efficiently and maximize returns. Orennia’s platform expedites the energy transition with effective and robust information for smarter capital allocation choices.

Why Join Orennia?

People are at the heart of the best technology companies. We’ve brought together some of the industry’s top experts and brightest minds in data orchestration, analytics, software development, and industry insights to uncover opportunities where others can’t. At Orennia, you’ll become part of a collaborative culture and do work that matters. We trust and support each other, ask hard questions and solve complex problems together. Guided by a spirit of inquiry, our team has a product-driven, continuous delivery mindset to drive our innovation forward.

The Opportunity

As an Analytics Intern, you will play a crucial role to build and enhance our analytical solution and leverage it to interact directly with clients and help answer some of the hardest questions facing the energy transition industry and investors today. Reporting directly to one of our Analysts, our work is a collaborative team, providing you with the opportunity to work across departments, levels and with a variety of experts and perspectives. Our people are passionate and have a strong belief in our mission. Our efforts impact individuals and communities, all the while working toward a net-zero future.

If you’re hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we’d love to hear from you.

What You’ll Do

• Contribute to market analysis across the energy transition sector, including power and renewables, energy storage, CCUS, hydrogen, renewable fuels, climate risk, and EV mobility.
• Compile and maintain large datasets that contribute to the development of advanced analytical models.
• Develop advanced analytical models that leverage large data sets to provide insights to our clients.
• Work closely with the Analytics team to create customized solutions to our clients' most pressing and complex problems.
• Participate in conference calls, virtual and in-person meetings with clients and prospects, leveraging and demonstrating our solutions. 

Who You Are

• You are currently a 3rd or 4th year student enrolled in a Bachelor's degree in Engineering/Mathematics/ Finance, and returning to school after the internship term.
• You have strong analytical ability including statistical methods and optimization concepts. Programming, database and software skills (Excel, VBA, Python, SQL) considered an asset.
• You are hungry to learn and contribute. Our organization is growing, and this role is an exceptional opportunity to grow with us.
• Deep intellectual curiosity with a results-focused relentless pursuit of answers. Ability to work in a fast-paced start-up environment, embrace change and ambiguity.
• You are excited about working in a fast-paced scale-up environment and embracing change and ambiguity.

Why You’ll Love Orennia

At Orennia, you'll join a high performing, people-focused team where everyone has a role to play. We offer our regular, full-time employees a competitive total rewards package, comprehensive health, dental and vision benefits, a savings program that includes company matching, and a learning and development budget to master your craft. In addition, we offer generous time off with regular company holidays, paid vacation days and paid sick days.

We thank all applicants in advance for their interest and for taking the time to apply; however, only applicants invited for an interview will be contacted.

Orennia is an Equal Employment Opportunity (EEO) employer. We are committed to creating a diverse and inclusive workplace where all employees and applicants are treated fairly and with respect, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, marital status, veteran status, or any other characteristic protected by applicable provincial, federal, state, or local law.

We believe in fostering a work environment that promotes equal opportunities for all individuals and strive to eliminate any barriers to employment and advancement. We are dedicated to providing equal opportunities in hiring, promotions, compensation, benefits, training, and all other aspects of employment.

Location: Calgary Headquarters (Hybrid/Remote)
Position Type: Full time, salaried
Reports to: VP, Analytics Engineering