About the role:

Sales Engineering at Samsara

As a Sales Engineer at Samsara, you’d be an integral part of a diverse team working to help modernize essential industries through the application of cutting edge IoT solutions.  Your work would directly contribute to a cleaner, more efficient and productive supply chain by creating safer roadways, reducing fuel consumption and emissions, and providing a consolidated platform for connecting operations.  Our daily customer engagements include conversations around how IoT can positively impact logistics management, workplace safety programs, fleet maintenance strategies, global asset management, and regulatory compliance.  This means a successful SE at Samsara will develop a thorough understanding of the application of IoT hardware and sensors, hands-on hardware installation strategies, managing data collection over carrier networks, presenting a robust cloud infrastructure, and building third-party system integrations (via our open API) to ensure the best technical solution is presented to Samsara customers.

This is a remote position, open to candidates in the MST or CST timezones in Alberta, Saskatchewan, or Manitoba. An ideal candidate will be located in Edmonton, Calgary, Regina, or Winnipeg metro areas.

This position requires domestic and international travel up to 30% of the time.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
• Become an expert on Samsara products: where the rubber of cutting-edge tech (IoT, AI, computer vision) meets the road of driving digital transformation for physical operations.
• Articulate to prospects how businesses like theirs use Samsara today to solve challenges common to their industry.
• Deliver the work products that get deals done.  Think discoveries, demonstrations, value assessments, proof of concept implementations, etc.
• Walk installers through any scenario, explaining best practices for installing Samsara products and helping build deployment plans.
• Write scripts against our open API that solve real-world problems for companies that deliver essential services (for example), and document them for your fellow SE’s to use.
• Open the door for deeper entrenchment into accounts (integration, upsell, cross sell) by becoming a consultant to your customers.
• Act as a liaison between Samsara’s product and sales teams, translating technical feedback and enrolling the right customers in our beta programs.

Minimum requirements for the role:

• Bachelors’ of Science degree from a 4 year accredited university 
• Professional French & English Fluency (both written and verbal)

• 2+ years experience working with customers in a pre-sales, technical consulting, solutions architect, customer success, or customer/product support capacity
• Ability to influence stakeholders based on your technical sales acumen and a solid understanding of business processes and change management
• Ability to explain complex technical concepts to non-technical audiences
• Previous experience managing hardware and/or software product evaluations
• Basic understanding of electronics and electrical systems
• Experience with the following concepts: technical consulting, cloud software, cloud-connected hardware, computer networking, business systems integration, automation and control systems

An ideal candidate also has:

• Bachelors’ of Science degree or advanced education in Electrical Engineering, Computer Science, Mechanical Engineering, Industrial Engineering, or related discipline

• Work experience in task automation scripting and transferring data between systems using Bash, Python, JavaScript, or equivalent language
• Work experience building solutions leveraging open API’s
• Understanding of vehicle diagnostic systems, including Controller Area Networks (CAN bus) and Power Take Off (PTO) applications
• Hobbyist interest in working with things driven by electronic systems (car audio installation/classic car restoration, home automation, building things with raspberry pi, arduino, etc.)
• Consistent track record of success selling complex technical solutions through strategic sales cycles

About the role

Syndio is transforming how companies understand and act on workplace equity — and as we launch new daily-use products into the market, the way we support customers needs to transform too. We're looking for a Senior Manager to define and own the vision for what customer support looks like in an agentic future: a lean, AI-native function that scales with product growth, stays close to customers, and serves as a high-signal feedback loop between users and engineering.

This is a rolling the sleeves builder role. You'll inherit a technically sharp, high-trust team and a clear mandate: architect a support function where intelligent AI agents handle the majority of interactions autonomously, human effort is reserved for what requires genuine judgment, and the gap between incoming ticket volume and resolved ticket volume is continuously closing — without proportional headcount growth.

You'll need to be as comfortable designing a multi-agent orchestration system as you are coaching a team member through a difficult customer conversation. The right person for this role sees agentic AI not as a tool to bolt onto existing processes, but as the foundation to build from.

What you'll own

Vision and strategy for agentic support. You'll define what the support function needs to look like as AI capabilities evolve — setting the architecture for how customer-facing agents, orchestration layers, and human escalation paths fit together. This isn't a roadmap you inherit; it's one you build and continuously refine as the technology and the product surface area change.

Customer-facing agent design and operations. You'll own the build-out of an AI-native support layer — designing the agents customers interact with, the knowledge bases that power them, the escalation logic that routes edge cases to humans, and the quality standards that govern all of it. You're not enabling a tool; you're designing a system.

Analytical rigor and business decision support. You'll own the metrics that matter: ticket inflow rates, autonomous resolution rates, escalation patterns, time-to-resolution, and the gap between incoming and resolved volume. You'll use this data to make and support business decisions — including when to deploy additional agent capacity, when to invest in knowledge base coverage, and where human support is still the right answer.

Team leadership and development. You'll manage, coach, and grow a team that operates at the intersection of technical investigation, customer empathy, and engineering partnership. You'll own performance development, create clarity on roles and expectations, and build a culture where people do their best work.

Agentic bug triage and resolution. You'll formalize how AI agents are used in the bug investigation and resolution workflow — defining which categories of issues are in scope for agent-assisted diagnosis, establishing human review gates, and working with engineering to make the workflow fast and safe.

Cross-functional partnership. Support sits at the center of the product feedback loop. You'll maintain strong working relationships with Engineering, Customer Success, and Product — ensuring that patterns in support data flow into sprint planning and that escalations move quickly when they need to.

Scaling for product growth. With multiple products launching in 2026, you'll own the readiness plan — ensuring agents, processes, and the team are prepared for a significant increase in ticket volume from daily-use products with larger, more diverse user bases.

What we're looking for

A vision for the agentic future of support. You have a clear, informed point of view on where AI-native support is heading — and the experience to back it up. You've thought deeply about multi-agent systems, orchestration, customer-facing agents, and where the human layer belongs in all of it.

Technical fluency. You don't need to be an engineer, but you need to be credible in technical conversations. You're comfortable reading logs, understanding how a web application works end to end, and forming a clear hypothesis about what's broken and why. Experience with observability tooling, agent orchestration platforms, or workflow systems is a strong plus.

AI and automation depth. You've built or operated AI-assisted support workflows with real production usage. You think natively about leverage points — where agents compound, where they break down, and how to design for both.

Analytical capability. You're fluent in support metrics and know how to build the instrumentation to track what matters. You can look at inflow vs. resolution trends and translate them into business recommendations with confidence.

Customer empathy and communication. You understand that every ticket represents a real person with a real problem. You set the standard for how your team and your agents communicate with customers — clearly, honestly, and with genuine care for their experience.

Operational rigor. You know how to design a workflow, measure what matters, and iterate. You've built support processes that scale — not just documented the ones that exist.

People leadership. You've managed high-performing teams and know how to develop ICs who are already excellent. You give feedback directly and create an environment where people grow.

Experience

• 8+ years in technical support, engineering operations, or a related function
• 2+ years managing people
• Demonstrated experience building or scaling support operations at a SaaS company
• Hands-on experience designing or operating AI-assisted support workflows, customer-facing agents, or multi-agent orchestration systems
• Hands-on experience with Zendesk or a comparable enterprise support platform at an operational or administrative level
• Experience working closely with engineering teams and contributing to cross-functional processes like sprint planning or incident review

What success looks like in year one

By the end of your first year, you've articulated and begun executing a clear multi-year vision for AI-native support. Customer-facing agents are handling the majority of L1 tickets autonomously. Agent-assisted workflows have materially shortened bug resolution cycles. You're tracking inflow and resolution rates with enough precision to make confident capacity recommendations. And the team is operating as a strategic function — not a help desk — with ticket volume growing and manual effort not growing with it.

• 💰 Competitive Compensation. For this role our base salary is targeted at $158-185k USD.
• 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 within the following approved East Coast states: CT, DC, FL, GA, MD, MA, NJ, NY, OH, PA, RI, SC, VT, and VA #LI-Remote 

Interview overview

Below you'll find an outline of the interview plan for our Senior Manager, Applications Support 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. Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
4. Final Interview - Engineering Leader - 30min

About the Role

We’re looking for a Staff Data Engineer to define the architecture and long-term evolution of Syndio’s data platform as we scale into AI-driven products.

This role owns the technical direction for how data is structured, standardized, modeled, and activated across the company, with a particular focus on enabling LLM-powered systems and decisioning workflows.

You will design, architect, and build data pipelines that produce the data products powering analytics, product experiences, and Syndio's LLM-powered systems. Your work will shape how data is used across the company and enable the development of Syndio's decision graph and AI capabilities. This includes solving complex challenges such as multi-tenant schema standardization, automated field mapping, retrieval-ready data modeling, and data pipelines for AI evaluation and feedback loops.

You will operate across pipeline architecture, platform design, and cross-functional data strategy, partnering closely with product, data science, and engineering leadership.

Why This Job is Exciting

• Define the data architecture behind AI for Pay Decisions and future decisioning systems
• Build the data foundation that powers LLM-based features, including the pipelines that feed retrieval, context generation, and evaluation workflows
• Own high-leverage problems like automated schema mapping and multi-tenant data standardization
• Establish standards for data contracts, modeling, and pipeline architecture across teams
• Design data governance into the platform through policy tagging, PII handling, and lineage tracking
• Build pipelines that support both batch analytics and the event-driven data flows behind AI workflows
• Shape how data is structured, delivered, and made reliable for stakeholders across Syndio, from analytics and product teams to the teams training and evaluating AI systems

About You

• Deep experience in data engineering, data platform, or distributed systems roles
• Proven track record designing and scaling data pipelines across teams or organizations
• Experience solving ambiguous, high-impact platform problems and building systems widely adopted across teams
• Strong ability to operate at both architectural and hands-on levels
• Cross-functional leadership and ability to influence technical direction

Required Areas of Deep Expertise

• Data modeling and schema design
• Pipeline architecture and orchestration
• Data warehouse and storage systems

Technical Experience

• Strong proficiency in Python and SQL
• Experience with data patterns for AI/LLM systems: retrieval-ready data modeling, vector storage, embedding pipelines, and evaluation datasets
• Cloud platforms: GCP (preferred), AWS, or Azure
• Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar
• Data transformation: dbt or equivalent modern transformation frameworks
• Relational databases: Postgres, MySQL, or similar
• Streaming and CDC ingestion patterns (Datastream, Debezium, Kafka, or similar)
• Data governance and lineage tooling

Nice to Have

• Experience building AI-native data platforms or developer tooling
• Experience with event-driven or streaming architectures
• Background in high-scale systems or large multi-tenant SaaS platforms
• Familiarity with compensation or HR data domains

How we work:

• We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You’ll be joining a small, ambitious team committed to high trust, low ego collaboration. It’s a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration.
• Applicants must currently reside within commuting distance of Calgary, Alberta, Canada for consideration. Relocation is not currently offered.
  • Kindly note, you must also be eligible to work in Canada legally, as we are NOT able to provide visa support or transfer at this time.

Why you'll love it here:

• 💰 Competitive Compensation. For this role our base salary is targeted at $180-195k CAD. 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.
• 🏝 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:

• By the 3rd Month, you will have a working knowledge of Syndio's data domain and existing pipeline architecture. You'll be making hands-on contributions to the data layer codebase, building familiarity with the systems you'll eventually evolve.
• By your 6th Month, you will take technical ownership of the AI data infrastructure, defining the architectural direction for how data is modeled and served to AI systems. You'll establish company-wide standards for data contracts and pipeline architecture, and lead solutions for our hardest data standardization challenges.
• By 9 months in, you will set the long-term technical direction for Syndio's data platform and AI-driven systems, with a focus on governance, PII handling, and lineage. As the SME, you'll mentor other engineers and break down complex platform initiatives for the team to execute.

The Interview Overview:

Below you'll find an outline of the interview plan for our Staff Data 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 min - Zoom interview with the Hiring Manager
3. Technical Evaluation - Take-home
4. 1.5 hrs - Meet the Team
5. 30 min - Final Interview

About the Team:

What You'll Be Doing:

• Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
• Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
• Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
• Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
• Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
• Contribute to technical discussions, code reviews, and system design sessions.
• Take ownership of features and projects, driving them from concept to production.

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

About the Cloud Payments team

Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:

• Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
• Calculates and generates daily customer bills for millions of customers worldwide
• Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
• Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems

We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.

The role

We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.

This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.

What you’ll do

In this role, you will:

• Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
• Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
• Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
• Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
• Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
• Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
• Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden

What we’re looking for

You may be a great fit if you:

• Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
• Understand core object‑oriented design principles and how to apply them to complex, evolving systems
• Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
• Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
• Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
• Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets

Nice to have (but not required):

• Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
• Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
• Familiarity with data-intensive applications, data pipelines, or data lakes
• Exposure to working with I/O frameworks like Reactor
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Prior exposure to MongoDB as a developer or operator

We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.

Working model & location

• Location: Canada
• Working model: Fully remote, with colleagues primarily across North American time zones

How we’ll support you

MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.

You’ll have opportunities to:

• Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
• Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
• Grow your career through mentorship, feedback, and stretch projects aligned with your interests

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: 1273389937

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 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

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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.

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This is a fully remote position. We are looking for someone who is able to travel to customers in their territory. 

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

We are seeking an experienced Staff Mobile Engineer to join our team. The successful candidate loves working with technology and has a proven track record of leading, building and delivering complex mobile applications. This role requires navigating ambiguity and shaping the long term direction of our mobile products.

You will work as part of our mobile team to redefine wealth management for both advisors and their clients. Our infrastructure is built with a Microservices approach and our tech stack includes React Native, with TypeScript, Node, Serverless, GraphQL, MongoDB, and AWS. 

As a key member of our Mobile team, you will be helping set the strategy for OneVests mobile applications by: (1) establishing and building patterns customer and client interactions, (2) designing and building customer and client mobile experiences, (3) building tooling, CI and releases processes that enable scalable and efficient delivery of enterprise applications to our customers.

What you’ll be doing:

• Building out the OneVest mobile application in React Native, using GraphQL APIs
• Partnering cross-functionally to collaborate on solution design, balancing technical excellence with delivery velocity
• Leading technical design and architecture of large-scale features by designing and breaking down complex epics into deliverable stories and tasks
• Continuously improving our codebase and developer experience by identifying and resolving systemic technical debt, adopting new/better practices and tools
• Owning the mobile lifecycle, from local development and automated testing to CI/CD and store deployments
• Mentoring and providing leadership through technical reviews for product stories and providing feedback to peers through code and architecture review
• Proactively managing project risks and cross-team dependencies while resolving complex technical issues and customer escalations
• Championing best practices across quality, patterns, tools and processes to ensure both OneVest and our platform scales for enterprise customers

Must Haves:

• 8+ years mobile development experience with a strong focus in React Native, and JavaScript/TypeScript
• Proven ability to architect, develop and maintain mobile applications for enterprise scale
• Experience with FastLane, Expo, App/Play stores, TestFlight, etc., for build, CI/CD, and deployment tools for react-native applications
• Proven ability to effectively contribute to technical strategy and roadmaps 
• Expertise in designing scalable and performant front end architectures integrating with complex GraphQL microservice backends
• Strong communication skills, capable of articulating complex technical decisions to a wide audience

Location: This role is open to candidates across Canada

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. 

Available Location: Calgary, Alberta, Canada

What you'll do as a Senior Solutions Engineer

The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. 

You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have experience in working in a pre-sales or other technical customer facing role supporting large enterprise accounts or acquiring new enterprise customers, as well as excellent verbal and written communication skills suited to explain the benefits of CloudFlare products and services to existing and potential customers. In this role you will be responsible for partnering with the sales team to understand customer requirements and provide sales support, prepare and deliver technical presentations and demos explaining the benefits of Cloudflare products to existing and potential customers, and run proof of concept trials for customers.

Specifically, we are looking for you to:

• Identify and map customer initiatives and business problems to Cloudflare solutions
• Build relationships and technical champions within customer accounts
• Develop and present customer presentations at every Enterprise Customer’s organization level
• Lead demo and proof-of-concept activities for Cloudflare prospects and customers
• Demonstrate your expertise of Cloudflare with your peers  through the creation of professional content, including white papers, blog posts and other knowledge sharing activities
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Basic Requirements

• Previous experience as a Solutions Engineer or other customer facing technical role with CDN, Security, Networking or SaaS
• Solid communication, written and presentation skills
• Ability to work on several projects and activities concurrently
• Highly driven individuals that are curious, team players and work with a sense of urgency
• Bachelor’s Degree or equivalent in relevant work experience
• The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

Examples of one or more desirable skills, knowledge and experience

• Fundamental understanding of customer network and/or application architectures. 
• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP.
• Understanding, knowledge or experience of application and/or network security 
• Understanding, knowledge or experiences with SaaS application environments
• Understanding, knowledge or experience with VPN and remote access challenges
• Understanding, knowledge or experience with SIEM and log analytics platforms 
• Client OS fundamentals and software distribution

Other desirable skills areas include:

• Experience interacting with senior level/executives to communicate a message of network and security transformation
• Routing, subnetting, split tunnels. SD-WAN, local internet breakout
• End user and application security risks - DDoS, malware, phishing, viruses
• Knowledge of competitive market  around CDN providers and internet security technologies

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

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

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.

Key Responsibilities

Skills, Knowledge and Expertise

Preferred Skills