hireVouch

Role Description We are rapidly growing GCP (Google Cloud Platform) consulting company based out of Toronto. We work with GCP's top customers (banking, telco, energy, retail, etc.) to help them with Cloud Transformation, Security, Analytics, ML, and Data Governance. Clients usually engage us to solve their most challenging business problems and help raise the bar at their organization. Why us? - People: We hire top-tier talent. Our team consists of ex-Googlers, YCombinator Alumni, and individuals that built software for 400M users. - GCP is the Best Cloud: Maybe we are biased, but GCP is the most cutting-edge cloud provider, building on technologies that have been pioneered by Google: BigQuery, K8s/Anthos, Vertex AI, etc. - Growth: We have doubled in size in the last 6 months, and are looking to double again this year. You will: - Develop the best cloud architecture solutions to help the key stakeholders accomplish their strategic goals. - Develop data solutions and processes to store, transform and retrieve company information. - Build data models and develop an Enterprise Data Model at a large scale. - Work with a team of cloud data engineers to install and configure information systems to ensure functionality. - Analyze structural requirements for new software, applications and process. - Migrate data from legacy systems to cloud solutions. - Design conceptual and logical data models and flowcharts. - Improve system performance by conducting tests, troubleshooting and integrating new elements. - Optimize new and current data systems. - Work with security and operations teams to define security and backup procedures. - Coordinate with key stakeholders of all data workstreams across departments to identify future needs and requirements. Qualifications - 10+ years of work experience designing, executing, and supporting data environments as a Data Architect, Data Scientist, Data Analyst or similar role. - In-depth understanding of data systems, process and structure principles. - Knowledge of data modeling methods such as dimensional modeling, Vault, Star Schema, etc. - Knowledge of data mining and segmentation techniques. - Effective communication skills (written and verbal) to properly articulate complicated cloud reports to management and other IT development partners. - Exceptional team building and leadership skills. - Experience in large-scale, secure, and high-availability solutions in Cloud environments such as Google Cloud (GCP). - Good understanding of GCP services such as IAM, and Google Cloud Storage buckets. Requirements - Passionate about delivering high-quality commercial software products and platforms to market. - Team player. We are a small team and enjoy working with each other and our clients - we would like to keep it the same way as we grow. - Strong understanding of modern software engineering processes. - Client-focused and passionate about delivering strong business values. - Able to communicate clearly and effectively with various audiences, including developers, clients, customers, partners, and executives. - Flexible and willing to use the right technology for each problem in the context of timelines and business goals. - Ability to complete the job regardless of the circumstance. Benefits - Flexible vacation policy. - Three weeks of vacation, plus we are closed over the winter holidays (+ ~1 week). - One team-building event each quarter. - Great health benefits with a $1500-$3000 HSA/WSA. - Certification opportunities. We will pay for your GCP certification as well as other relevant training and certifications. - Learning opportunities. We work across different industries, technologies and roles and will work with you to help you explore your interests. - Blogging, open source, meetups and conference opportunities. We will provide a platform and time for you to pursue your ideas. - Our organization values action over politics, and our management team is made up of engineers who thrive on achieving tangible results.

Role Description As a senior software engineer, you'll be stepping into a small, dynamic team in its scale-up phase. The engineering team is currently ~12 members strong and is led by the organization's CTO. The team allocates cycles to the projects with the largest market opportunity, and engineers move between projects in response to demand, as they share an underlying tech stack. Hiring is underway to accelerate the development of a highly anticipated visual content generation product with a full order book. Key responsibilities - Full stack software engineering: - Design and implement a wide variety of services including APIs, customer-facing dashboards, virtual browser orchestration services, and web scrapers. - System scalability & performance engineering: - Participate in technical design discussions to ensure systems scale effectively as usage volumes and feature complexity grow. - Prompt engineering: - Fine-tune LLM and VLM prompts to generate high quality text and visual content. - Cross-functional collaboration: - Work closely with product designers and customer-facing teams to ensure delivery roadmaps are aligned with market demand and customer feedback. - Continuous learning & adaptability: - Stay current with emerging technologies, frameworks, and industry best practices; experiment with new approaches to improve efficiency and strengthen the services over time. Qualifications - You have 5+ years of experience shipping production-grade, customer-facing software. - You have experience designing and implementing backend and frontend systems. - You have experience shipping and maintaining React web applications. - You have a fantastic command of English. Requirements - It's a bonus if you have experience founding or helping scale an AI and/or B2B SaaS venture. - You have experience with DevOps practices/technologies and development tooling. - You have experience with prompt engineering and fine-tuning. - You have experience with browser automation tools. Benefits - $150,000 - $200,000 CAD + equity.

Role Description This is a product-focused engineering role where you'll play a key part not just in building, but also in shaping our integration platform (supporting 250+ integrations). You'll have the opportunity to influence product direction, work closely with customers, and help make it easier for them to launch products powered by high-volume telematics data. As a Staff Engineer on our Product & Integrations team, you'll take a leading role in shaping the long-term vision of our integration platform. You'll not only design and deliver complex systems, but also drive technical strategy, set architectural direction, and influence how our platform evolves to support hundreds of diverse integrations. You'll partner closely with customers, product, and engineering leadership to ensure we're building the right abstractions and reusable components that scale with our growth. This is a role with broad ownership, where your leadership and judgment will raise the technical bar across the team and directly impact how customers succeed with high-volume telematics data. What you will do - Contribute to the integration framework and platform that supports 250+ integrations. - Scope, build, and implement new integrations to broaden the platform's reach. - Engage directly with customers to design and build new features that add value to our platform. - Build reliable, intuitive APIs that simplify customer implementations. - Create tooling and patterns that improve testing, observability, and platform reliability. - Monitor and optimize system performance, ensuring scalability as data volumes grow. - Contribute to code reviews and share best practices to uphold high standards across the team. - Perform technical demos and provide technical support directly to customers. Qualifications - 6+ years of building production systems. - 2+ years of experience with Node.js & TypeScript. - 4+ years of experience with AWS or similar cloud platforms. - Strong customer empathy with excitement to support new feature launches, troubleshoot directly with customers, and support technical sales. - Comfort working with and building integrations for systems with limited or unclear documentation. - Strong debugging and troubleshooting skills, especially in distributed systems. Requirements - Experience with serverless and/or event-driven architectures (e.g. AWS Lambda, SQS, Kafka). - Experience working with orchestration / workflow engines (e.g. Step Functions, Temporal). - Experience with JVM languages (for cross team work). Tech stack - Backend: Node.js (TypeScript) - AWS serverless architecture, including: Lambda, DynamoDB, S3, SQS, EventBridge, and Step Functions - Frontend: Next.js, React, TypeScript deployed on Vercel - Styling with Tailwind and shadcn - Infrastructure as Code: SST and AWS CDK - CI/CD: GitHub Actions - Technologies also used: Java, Python - Data streaming and lakehouse architecture, including: Kafka, Flink, Spark, Iceberg, and S3

Role Description We're supporting a remote-first team responsible for a comprehensive open-source developer platform that has processed over $5 billion in transaction volume. A pioneer in their space, their unified API and SDK layer simplifies the developer experience and underpins games and apps used by millions. Built on scalable, fault-tolerant services, the platform delivers indexing, relaying, and analytics pipelines engineered for millions of requests per minute. Now, backed by top-tier investors and fueled by continued growth, they are bolstering their team to build the scalability needed to keep pace with demand. As a key member of the platform engineering team, you will design, build, and optimize Go-based services that power core infrastructure: - Own core infrastructure services: - Architect, develop, and maintain Go-based services for data indexing, transaction relaying, metadata aggregation, and marketplace APIs. - Extend and evolve the platform toolchain for future extensibility. - Scalable, fault-tolerant design: - Design and implement services with high availability and resilience to handle millions of requests per minute. - Build robust architectural foundations so future engineers can build on your work with ease. - High-throughput optimization: - Tune databases and service configurations to support surging workloads and complex queries. - Cross-functional collaboration: - Partner with SDK, R&D, and product teams to define clear service interfaces. - Support internal teams consuming platform APIs. - Contribute to documentation and developer tooling used by clients. - Maintenance & innovation: - Rotate between refactoring, maintenance, and new feature development to balance platform stability with rapid delivery of capabilities. - Open-source contributions: - Contribute to shared libraries and tooling used across the ecosystem. Qualifications - 5+ years of software engineering experience, including at least 3 years building and operating Go services in production. - Deep expertise in designing and maintaining production-grade backend services at scale. - Experience working with distributed systems. - Practical experience with large-scale relational databases (e.g. Postgres). - Hands-on experience with cloud infrastructure providers such as AWS, GCP, or Azure. - A growth mindset; you actively seek out new technologies and enjoy solving complex problems. - Excellent communication skills. Requirements - Familiarity with blockchain data flows or Web3 development tooling is a bonus. - Contributed to open-source Go libraries or large-scale projects is a bonus. - Experience mentoring junior engineers or conducting thorough code reviews is a bonus. - Worked with container orchestration (Docker, Kubernetes) in production environments is a bonus.

Role Description We are looking for a Founding AI Engineer to take the lead on our intelligence layer. This isn't a role for running six-month research projects; you will be shipping production-ready LLM features into the hands of clinicians from day one. You will own the entire AI surface area—from architecture and model selection to evals and agent design. Qualifications - TypeScript Expertise: Deep proficiency in the language that powers our entire stack. - AI Production Experience: Proven experience shipping LLM/AI features in a production environment. - Experience: At least 3 years of full-time professional experience (excluding internships). - Communication: Ability to articulate complex technical ideas clearly and participate in healthy, ego-free feedback loops. Requirements - End-to-End AI Ownership: Own the AI lifecycle including architecture, model selection, evals, and agent design. - Production-First Mindset: Rapidly improve existing LLM features and ship new ones directly into clinical workflows. - Full-Stack Implementation: Work across the stack (TypeScript, React Native, NestJS) to ensure AI features are seamlessly integrated into the UI clinicians actually use. - Solve Unsolved Problems: Address genuine healthcare challenges like AI accuracy, context-awareness, and latency under real clinical constraints. - Strategic Partnership: Partner with founders to define the AI roadmap and establish high engineering standards. - Responsibility & Output: Maintain a high quality bar, ensuring all AI-generated or assisted code is fully understood and owned. Benefits - Open to Feedback: We view code reviews and suggestions as a way to make the product better, not as personal attacks. - Constructive Disagreement: We encourage speaking up if you see a better path forward; we choose the best solution for the product together. - Ownership of Output: We have zero tolerance for "AI slop." Whether you wrote it or an AI generated it, once you commit it, you own it. You must fully understand why you are committing a piece of code. - No Ego: We value humble, down-to-earth collaborators who are hyper-reactive to the needs of the product, not their own status.

Role Description We are seeking an exceptional Manager of Data Engineering to lead our talented team of data engineers in delivering innovative data solutions for our clients. The ideal candidate will have a strong background in data engineering, with expertise in cloud data technologies such as AWS, GCP, or Azure. This role requires a strategic thinker who can drive the design, development, and implementation of scalable data solutions while providing leadership and guidance to our team of data engineers. - Lead and manage a team of data engineers, providing mentorship, guidance, and support to ensure the successful delivery of client projects. - Collaborate closely with our consulting and sales teams to understand client requirements and develop tailored data solutions that address their specific needs. - Design, build, and maintain scalable data pipelines and infrastructure on cloud platforms such as AWS, GCP, or Azure. - Implement best practices for data management, including data governance, security, and compliance, to ensure the integrity and confidentiality of client data. - Serve as a subject matter expert on cloud data technologies, staying abreast of the latest advancements and industry trends to drive innovation in our solutions. - Define project scope, timelines, and deliverables, and track progress against key milestones to ensure timely and successful project delivery. - Foster a culture of collaboration, innovation, and continuous learning within the data engineering team and across the organization. Qualifications - Bachelor's or master's degree in computer science, engineering, or a related field. - Proven experience (5+ years) in a data engineering role, with a track record of successfully delivering data solutions on cloud platforms. - 2+ years in a leadership capacity. - Strong expertise in cloud data technologies such as AWS (Amazon Web Services), GCP (Google Cloud Platform), or Azure (Microsoft Azure). - Experience designing and implementing scalable data pipelines using tools such as Apache Spark, Apache Airflow, or similar technologies. - Solid understanding of data warehousing concepts and technologies, including relational and NoSQL databases. - Excellent leadership and communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and drive consensus. - Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality solutions that meet client needs. - Experience working in a consulting or client-facing role is a plus.

Role Description As a high-growth fintech startup, we're at the forefront of payments innovation, and we're looking for hungry, ambitious people to help us scale. If you thrive in a fast-moving, high-energy environment and want to be part of something big, we'd love to work with you. If you want real ownership, autonomy, and the chance to shape how sales are done from day one, this is that role. This is the first Account Executive and the beginning of our outbound sales motion. You will be the person who defines how our product is sold to SMBs at scale - which businesses convert best, what messaging breaks through, how objections are handled, and what actually gets deals closed. The work you do here will directly shape how we sign thousands of businesses over the next year. This is a hands-on, outbound-heavy role. You'll spend most of your time prospecting, cold calling, cold emailing, running demos, and closing. You'll own the full sales cycle end-to-end and turn real customer conversations into a repeatable outbound engine. You'll work closely with leadership to sharpen the pitch and turn what's working into playbooks. If you're successful, your fingerprints won't just be on deals - they'll be on our entire B2B engine. What You'll Do - Own full-cycle outbound sales, from cold prospecting to close - Sell to SMBs across multiple verticals - Run tight, high-quality demos that clearly explain our value - Write and iterate outbound messaging (email, phone, LinkedIn) - Build and manage your own pipeline - Track learnings: objections, ICP patterns, deal velocity, win/loss reasons - Work to shape: - Outbound strategy - Sales collateral - Target industries and personas - Early sales process and tooling - Act as the feedback loop between customers and product This Role Is a Fit If You - Thrive in outbound and don't need warm leads to be effective - Like ambiguity and enjoy building before things are "figured out." - Can switch from high-volume cold outreach to thoughtful, consultative selling - Want ownership and upside - Are motivated by results This Role Is Not a Fit If You - Prefer inbound-only or heavily scripted sales motions - Need a fully built playbook to succeed - Want a low-intensity role - Are uncomfortable being the first sales hire Requirements - 3+ years of experience in B2B sales (SDR or AE) - Strong hunter mentality with outbound-first experience - Excellent written and verbal communication skills - Comfortable selling without a set playbook - Strong intuition for customer pain points and value-based selling - Experience using CRM and sales tools (Salesforce, HubSpot, etc.) Nice to have - Experience selling to SMBs - Background in fintech, payments, or hospitality - Previous founding sales team or early sales team experience

Role Description Our client is looking for an experienced software engineer with a founder mindset to take a critical role in our rapidly growing early-stage startup. We believe software will be built 10x faster with teams leveraging the perfect combination of AI agents and collaborative tools. The platform we've built makes this future vision a reality, leading our company to an inflection point of growth. This role is an opportunity to join us early as we prepare to scale up in our market. - Be a critical part of technical and product roadmap, we expect all of our engineers to act like owners of the business, making decisions with a founder-like mentality. - Build products across our stack (using Typescript, Node, and more) that enable our customers to build web apps 10x faster. - Embrace our AI-first culture at every level. Find creative and novel ways to leverage AI at every part of the stack, from the React designer AI, to our network of asynchronous development agents, and for our own development processes. - Collaborate directly with our team and customers to ship high leverage features, while iterating as fast as possible. - Have a blast working at a quickly growing startup! Qualifications - Bachelor's Degree or equivalent experience. - Has professional experience building full-stack applications (at least 4 years of professional full-time development experience, React experience a plus). - Is extremely talented and good at what you do (You execute complex tasks in half the time of your peers). - Has professional experience building and owning production-grade products in real life (not pet projects or projects for clients). - Has a very product and customer focused mindset. - Has been bitten by enough code quality and maintenance issues in production codebases/systems to be opinionated on how they should be built. - Is self-driven and can roll with the punches in a fast-paced environment where priorities and requirements may change frequently. Requirements - Bonus points if you are an ex-founder OR worked at an early-stage startup previously (Series A or earlier). - Have an eye for visual design (or past experience in product design, Figma, etc).

Role Description Our client is a mission-driven, seed-stage startup modernizing emergency response communications, reducing 911 call wait times and improving public safety outcomes. Their core product is an AI-powered voice agent that autonomously handles incoming calls for government services, focusing on public safety and city service hotlines. The platform utilizes commercially available and open-source models to provide a sophisticated voice agent capable of triaging 911 calls, automating routine and non-emergent 911 calls, and handling 311 and government service calls. The company differentiates itself by focusing exclusively on 911/311 calls and integrating with existing emergency call center and dispatch workflows. R&D is organized into a single cross-functional delivery team led by the co-founder and CTO. Following the close of their seed round, the company is investing in their product velocity and is seeking a senior software engineer to join their budding engineering team. Key Responsibilities - Design and implement event-driven, real-time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations to ensure low latency, high throughput, and fault tolerance. - Collaborate on cloud-native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load balancing strategies, security best practices, and observability efforts. - Integrate LLMs and other emerging AI technologies, select and potentially fine-tune models, orchestrate deployments, and monitor performance. - Design, implement, and optimize audio processing pipelines for capabilities such as speech-to-text, text-to-speech, voice activity detection, endpointing, noise filtering, and emotion detection. - Guide architecture and design decisions, conduct code reviews, establish best practices, and coach team members to accelerate their technical growth while reinforcing a culture of continuous improvement. Tech Stack - Back-end: Python, Elixir (Phoenix, Membrane) - Database: PostgreSQL - Cloud provider: Azure - Machine Learning & AI services: OpenAI, LiveKit - Infrastructure as code / containerization: Terraform, Docker - Monitoring, alerting & observability: New Relic, incident.io Qualifications - 5+ years of experience in back-end or full-stack software engineering. - Experience with natural language processing (NLP), voice agents, conversational AI, or shipping LLM-enabled products/features to production. - Designed and implemented highly concurrent, fault-tolerant services. - Adaptable, resilient disposition suited to a dynamic startup environment. It's a Bonus If - You have helped build or scale a SaaS venture. - You have developed and/or integrated voice AI or audio processing solutions in production (ideally with LiveKit). - You have experience with telephony systems (PSTN, SIP protocols, PBX architectures). - You have experience with WebRTC technologies (peer-to-peer media streaming, signaling protocols, ICE/STUN/TURN for NAT traversal, data channels, and client-server integration). - You have experience with Vector databases and similarity search pipelines. - You have an acute interest in building impact-oriented technology and saving lives with software.

Role Description As a Senior Engineering Manager, you will be the linchpin between rapid execution and sustainable scaling. We are growing quickly, and we need a highly organized, empathetic leader to help us manage "process debt," streamline cross-functional workflows, and build an environment where our engineers can do their best work. You won't just be managing a team; you will be optimizing how we build. What You'll Do - Drive Efficiency: - Oversee and drive the efficiency and output of the team. - Ensure the whole team ships product at a strong pace while maintaining a slim team. - Build strong relationships with the full tech team to drive output holistically. - Lead & Mentor: - Directly manage, coach, and grow a team of high-performing engineers. - Conduct impactful 1:1s and guide career development. - Ensure your team feels valued and recognized. - Drive Cross-Functional Alignment: - Observe interactions between Engineering, Product, Design, Data, Care, and more. - Identify inefficiencies and guide teams to align better. - Ensure context is shared transparently and decisions don’t get lost in silos. - Tame the Chaos: - Bring exceptional organizational skills to engineering operations. - Identify bottlenecks and improve documentation standards. - Create clear, lightweight processes that speed us up. - Protect the Team: - Actively monitor team workloads to ensure high-quality work sustainably. - Guard against burnout and maintain healthy boundaries. - Champion Innovation: - Encourage your team to experiment with AI and new tooling. - Advocate for time to invest in Engineer-led initiatives. - Bring in Talent: - Play a major part in hiring for the engineering team. - Assist in sourcing and vetting mid-to-senior level developers and Staff+ level engineers. Qualifications - 3-5+ years of direct engineering management experience. - Experience leading teams through a period of rapid growth in a series B or C startup. - Thrived in a scaling startup environment. - Comfortable with ambiguity and shifting priorities. - Highly organized and a systems thinker. - Strong background in software engineering. - Empathetic leadership skills. Requirements - Ability to centralize information and clean up messy workflows. - Diligent at tracking ongoing work across the organization. - Possess technical credibility to guide architectural decisions. - Ability to cultivate psychological safety and foster open feedback. Benefits - A team that genuinely cares about the product and each other. - High autonomy to make decisions impacting the engineering organization. - Willingness to invest in being at the forefront of technology. - Encouragement to experiment with new tools and technologies.