Senior Software Engineer

What if you could build software that didn’t just scale, but transformed entire organizations?At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.Take a look at tactable.Io to learn more about our work and what sets us apart.The Role: Senior Software Engineer (Cloud, Data & APIs)
This is a hands-on, hybrid role designed for builders. As a Software Engineer, you’ll be part of a deeply technical team solving real-world data and infrastructure challenges for our enterprise clients, from scaling streaming pipelines and integrating APIs to designing high-availability cloud systems.You’ll have the opportunity to lead technical direction, mentor teammates, and rotate across domains that expose you to new tech, use cases, and industries. We're not just hiring you for a project. We’re investing in your long-term growth.If you love writing clean code, collaborating cross-functionally, and designing systems that make a real impact, you’ll thrive at Tactable.What You’ll Do
End-to-End Engineering
Build scalable, high-performance backend systems using Python, leveraging concurrent and distributed architecturesDesign and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache IcebergDevelop and maintain microservices that interact with both streaming and batch data sourcesIntegrate complex data systems using ETL/ELT processes, Spring Expressions, and custom APIsOptimize and manage datasets using Parquet, Hadoop, and modern query layers like DremioCollaborate with frontend teams to support integration of React-based user interfaces with backend APIsModernize and migrate legacy systems to cloud-native infrastructureTechnical Leadership
Guide architectural decisions involving data workflows, storage formats, and service patternsBreak down complex, cross-cutting tasks into structured delivery plansMentor junior and mid-level engineers on data engineering best practices, from streaming to transformation layersReview and document architecture choices and technical designs for transparency and alignmentClient & Project Exposure
Rotate across engagements (every 6-12 months) involving large-scale data and infrastructure challenges, often in banking, financial services, and regulated environmentsLead technical execution across greenfield builds, real-time analytics platforms, and high-throughput systemsAct as a hands-on engineering partner to client teams, building long-term technical trust and delivering meaningful impactWhat You Bring
Must-Have Experience
8+
years of extensive software/data engineering experience in production environmentsAdvanced expertise in Python, including performance optimization, concurrency, and service-oriented architectureDeep experience building scalable data pipelines with tools like
Spark, Kafka, Databricks,
and IcebergStrong working knowledge of
RDBMS
and
SQL,
plus hands-on experience with Parquet and big data file formatsFamiliarity with Hadoop -based ecosystems, large-scale data processing, and modern orchestration practicesExperience integrating backend services with React-based frontends (bonus if full-stack)Solid understanding of CI/CD workflows, API design, and cloud infrastructure fundamentalsBonus Points For
Exposure to LLM/AI-based data transformation toolsPrior experience with Java or JVM-based systems in mixed-language environmentsExperience with Dremio or similar data lake query enginesExperience working in highly regulated industries, especially finance or insuranceAbility to operate in hybrid/in-person environments and lead small technical teamsWhy You’ll Love This Role
Growth-First Culture
- From custom career paths to project rotation, we design roles around your goals, not just business needs.Full Ownership & Impact
- You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.Tight-Knit Team
- We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.Real Work, Real Users
- We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.Flexibility with Structure
- We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.Why This Might Not Be a Fit
If you’re looking for narrow responsibilities or prefer to stay in one tech domain long-termIf you want to work in a rigid hierarchy with formal titles and clear laddersIf you prefer a vendor-style relationship with clients rather than deep, embedded partnershipsSalary Range: $140,000 - $190,000 CAD, based on experience and role fitComprehensive health and dental planGenerous PTO and holidaysLaptop & home office equipment providedCareer coaching and personalized development plansRegular social events, team outings, and wellness activitiesHiring Process & Transparency
This role is for an active vacancy on our engineering team, not a future talent pool position.As part of our hiring process, we use AI-assisted screening tools. Candidates selected to move forward will complete an initial screening interview via an AI-based platform, followed by direct interviews with our engineering team.
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