Tucows Inc.

Role Description We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support. You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager. What You’ll Do - SQL & Business Analysis: - Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. - Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time. - Diagnostic & Advanced Analytics: - Go beyond dashboards to explain why metrics move. - Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques. - Business Intelligence & Self-Service Analytics: - Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. - Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. - Train business users to leverage these tools confidently. - Finance Partnership & Compliance: - Serve as the primary analytical partner to the Finance team. - Own financial reporting, reconciliation, and forecasting workflows. - Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented. - Data Quality & Cross-Functional Collaboration: - Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. - Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues. Qualifications - 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment. - Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse. - Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users. - Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows. - Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued. - Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions. - Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools. - Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills. - Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment. - Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus. Nice to Have - Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics. - Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures. - Looker, Snowflake, dbt, or cloud platform certifications. Salary and Benefits - The base salary range for this position is $79,650 - $88,500. Range shown in $CAD for Canadian residents. Other countries will differ. - Range may vary on a number of factors including, but not limited to: location, experience and qualifications. - Tucows believes in a total rewards offering that includes fair compensation and generous benefits.

Role Description We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization. What You Will Be Doing - Data Modeling & Pipelines: - Design, develop, and maintain complex data models in our Snowflake data warehouse. - Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform. - Snowflake Intelligence Integration: - Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. - Develop AI solutions that harness these capabilities to extract valuable business insights. - Advanced SQL & Analysis: - Design and build advanced SQL queries to retrieve and manipulate complex data sets. - Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making. - Business Intelligence (BI): - Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. - Leverage Looker’s conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries. - Cross-Functional Collaboration: - Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. - Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams. - Programming & Automation: - Write efficient Python code for data analysis, data processing, and automation of recurring tasks. - Skilled in shell scripting and command-line tools to support data workflows and system tasks. - Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling). - Visualization & Presentation: - Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. - Tailor communication of complex analyses to diverse audiences. - Innovation & Best Practices: - Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics. - Develop and implement innovative ideas to continuously improve our analytics stack and practices. Qualifications - Bachelor’s degree in Computer Science, Statistics, or a related field; Master’s degree preferred. - 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics. - Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets. - Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models. - Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions). - Experience with Snowflake’s Data Cloud platform and familiarity with its advanced AI capabilities is highly preferred. - Strong skills in Looker data visualization and LookML or similar BI tools. - Experience with AI agents or generative AI tools to optimize workflows and service delivery is a plus. - Experience with real-time data processing and streaming technologies for handling continuous data flows. - Proficient in Python for data analysis and manipulation, with the ability to write clean, efficient code. - Familiarity with ETL processes and workflow orchestration tools for automating data pipelines. - Experience with cloud platforms and services for data storage, compute, and deployment. - Solid understanding of code versioning and continuous integration/continuous deployment processes in a data engineering context. - Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment. - Excellent communication and presentation skills, with critical thinking and problem-solving abilities. - Experience implementing data governance best practices, ensuring data quality and consistency. Requirements - Contributions to open-source projects or active participation in data community initiatives. - Experience with applying Artificial Intelligence/Machine Learning techniques in analytics. - Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments. - Knowledge of additional programming or query languages that can be applied in analytics workflows. - Certifications in relevant data technologies or cloud platforms demonstrating your expertise. Benefits - The base salary range for this position is $73,800 to $82,000. - Tucows believes in a total rewards offering that includes fair compensation and generous benefits.

Role Description We’re looking for a highly motivated Talent Acquisition Sourcer with a proven track record of success in high-volume recruitment. You’re someone who thrives on finding the right talent quickly and efficiently—without compromising quality or candidate experience. You’ll support large-scale hiring needs by owning the full-cycle recruitment process across multiple roles in the US region, helping us refine how we attract, engage, and hire top talent at speed. This is a 6 month contract to start and is a remote role for applicants based in Canada. What You’ll Do - Lead recruitment for high-volume roles across multiple geographies for sales profiles. - Design and execute proactive sourcing strategies (Indeed, job boards, communities, referrals, social etc.) to build pipelines of qualified candidates. - Screen, assess and engage candidates; manage interview coordination, feedback loops, and candidate experience end-to-end. - Track, analyze and report recruiting metrics (time to hire, source effectiveness, funnel conversion) and drive continuous improvement. - Champion employer-brand initiatives that attract volume talent while reflecting our mission and culture. - Maintain systems (ATS, job posting platforms) and ensure compliance and consistency, especially in global contexts. - Be agile and responsive: adjust tactics based on shifting hiring needs, market dynamics and internal priorities. Qualifications - 2+ years of high-volume recruitment or sourcing experience, ideally in a fast-paced environment or scale-up. - Proven track record of filling large numbers of roles efficiently while maintaining strong candidate experience. - Deep sourcing skills: Boolean search, talent mapping, pipeline development, passive candidate outreach, and creative usage of AI. - Comfortable with metrics: you use data to drive decisions and improve results. - Excellent communication and stakeholder management skills—working across timezones, geographies and seniority levels. - Experience with or willingness to adapt to remote/distributed environments. - Familiarity with ATS systems (we use Greenhouse), recruitment platforms and digital sourcing tools (Indeed or other top of funnel tools). - A curious, always-learning mindset, with an ability to switch between strategy and hands-on execution. Nice to have - Experience recruiting in US market for high volume sales positions. Requirements - The base salary range for this position is $60,000 to $65,000 annually, with a $200 commission per hire. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Benefits - Tucows believes in a total rewards offering that includes fair compensation and generous benefits. Company Description At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality. We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people. Tucows and its subsidiaries participate in the E-verify program for all US employees. Learn more about Tucows, our businesses, culture and employee benefits on our site.

Tucows Domains is the world’s largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS). As part of Tucows—one of the world’s largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team. If this sounds exciting to you, join the herd! About the Opportunity We’re looking for a passionate Intermediate Software Engineer specializing in Artificial Intelligence to join our growing team. In this role, you’ll help shape and build innovative AI-powered systems that transform how users interact with domain-related tools and services. You’ll work both with your team of forward-thinking engineers and with colleagues across business functions to prototype, develop, and deploy intelligent solutions using both commercial and open-source models along with modern infrastructure. This is a remote position open to applicants in Canada. What You’ll Do - Design and build AI-driven features for our domain services platform using Python and Golang. - Integrate and fine-tune open-source models with cutting-edge architectures via tools like Ollama. - Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services. - Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features. - Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models. - Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team. - Implement software solutions with “intelligent” features, helping teams automate tedious and repetitive tasks. Key Skills and Experience - Bachelor’s degree in software engineering, computer science, or related field, with strong proficiency in Python and Golang. - 3+ years of professional software engineering experience in production environments. - Solid understanding of modern AI/ML/LLM concepts, particularly transformer-based and open-source models. - Hands-on experience with frameworks such as TensorFlow, Hugging Face, or similar. - Experience using open-source models (e.g., LLaMA, Mistral, Mixtral) in real-world applications. - Strong foundation in software design principles and service-oriented architecture. - Experience contributing to scalable system and component-level architecture. - Ability to design and build RESTful APIs for model serving and AI-enabled workflows. - Understanding of API best practices, including versioning, security, and error handling. - Working knowledge of relational and/or SQL databases and data modeling for AI use cases. - Experience with containerization and cloud-native deployment of AI services. - Strong collaboration, communication skills, and enthusiasm for emerging AI technologies. The base salary range for this position is $100,350 - $111,500. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality. We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Tucows and its subsidiaries participate in the E-verify program for all US employees. Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Wavelo is a SaaS business on a mission to make telecoms a breeze. We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster. As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! About the Opportunity We are looking for a highly skilled Database Reliability Engineer (DBRE) with deep expertise in PostgreSQL at scale. In this role, you will design, operationalize, and optimize the data persistence layer that powers large-scale, mission-critical systems. You’ll work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across the database environment. This is a hands-on engineering role focused on building resilient data infrastructure—well beyond traditional database administration. This role is a remote position open to applicants based in Canada. What You’ll Do Architecture, Reliability & Performance - Design, implement, and operate highly available PostgreSQL clusters (physical/logical replication, sharding, partitioning, failover automation) - Optimize query performance and indexing strategies - Perform capacity planning, growth forecasting, and workload modeling - Own high-availability strategies, including: - Automatic failover - Multi-region deployments - Disaster recovery Automation & Tooling - Build and maintain automation for: - Provisioning and configuration - Backups and recovery - Failovers - Vacuum tuning - Schema management - Use tools such as Terraform, Ansible/SaltStack, Bash, Python, etc. - Develop monitoring and alerting systems for PostgreSQL clusters Operations & Incident Response - Lead response during database incidents (e.g., performance regressions, replication lag, deadlocks, bloat, storage failures) - Conduct root-cause analysis and implement long-term fixes Cross-Functional Collaboration - Partner with software engineers to: - Review SQL queries - Optimize schemas - Ensure effective use of PostgreSQL features - Provide guidance on: - Database design patterns - Migrations and version upgrades - Best practices Knowledge, Skills & Abilities - Deep understanding of PostgreSQL internals: - MVCC, WAL processing, vacuum behavior, locking, query planning - Experience designing and operating highly available database clusters with automated failover - Strong performance tuning skills (query optimization, indexing, workload tuning) - Ability to diagnose database and system issues: - Query plans, I/O, memory usage, WAL growth, table/index bloat - Experience with backup and recovery strategies: - Point-in-time recovery (PITR), durability planning - Familiarity with observability and monitoring: - Metrics, alerting, and performance dashboards (Grafana) - Understanding of distributed systems concepts: - Service discovery, consensus (e.g., Consul) - Strong Linux systems knowledge (performance tuning, resource management) - Experience with scripting and infrastructure-as-code automation - Strong troubleshooting and problem-solving skills in production environments - Knowledge of: - Security, compliance, encryption, auditing, access control - Ability to work independently in high-availability, production-critical systems - Familiarity with AI-assisted tools (e.g., Claude, Windsurf, GitHub Copilot) Qualifications Required - 7+ years of hands-on PostgreSQL experience in large-scale, high-volume production environments - Strong expertise in PostgreSQL internals: - WAL, MVCC, vacuum tuning, query planner, indexing, logical replication - Advanced SQL and strong schema design and query optimization skills - Solid experience with Linux systems and networking fundamentals - Experience building automation using Go or Python - Experience with monitoring tools such as: - Prometheus, Grafana, Datadog, PMM, pg_stat_statements Preferred (Nice to Have) - Experience with connection pooling and load balancing: - PgBouncer, HAProxy - Experience with high-availability solutions: - Patroni or similar tools - Exposure to event streaming and CDC: - Kafka, Debezium - Experience supporting 24/7 production environments - Experience with PostgreSQL backup tools: - Barman, pgBackRest, WAL-G - Familiarity with Traefik or similar infrastructure components ​​The base salary range for this position is $126,100 to $140,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality. We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people. Tucows and its subsidiaries participate in the E-verify program for all US employees. Learn more about Tucows, our businesses, culture and employee benefits on our site here.