Senior Backend Developer

Software EngineeringEngineeringHybridFull-Timeposted 5mo ago

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity

ShyftLabs is looking for a Senior Developer to help design, build, and scale our next generation of data-driven platforms and systems. This role sits at the intersection of platform engineering, system integrations, and intelligent product development, and will play a key role in shaping how our products evolve.

You will work closely with Product, Architecture, and cross-functional engineering teams to plan and deliver new features, lead development efforts, and ensure seamless integration across internal and external systems. This includes building robust APIs, event-driven services, and third-party integrations, while also contributing to emerging AI-powered capabilities within our platforms.

The ideal candidate combines strong backend and frontend engineering skills with experience in distributed systems, integrations, and scalable architectures. JavaScript, TypeScript, Node.js, and GraphQL remain core requirements for this role.

What You'll Do

Design and development of scalable, service-based architectures (front-end and back-end), while remaining hands-on in coding and delivery

Architect and implement system integrations across internal services and third-party platforms (REST, GraphQL, event streams, webhooks, ETL pipelines)

Collaborate with Product to translate business requirements into technical solutions, defining scope, complexity, and dependencies

Drive development across teams for services built in Node.js, TypeScript, JavaScript, and Python

Design and maintain API contracts, data models, and integration patterns to ensure consistency and reliability across systems

Build and optimize secure, high-performance, and highly available systems

Contribute to AI-enabled features and workflows, including integration of ML models, LLM APIs, or intelligent automation pipelines

Partner with architects to define system design, integration strategies, and reusable frameworks

Produce clear technical documentation (architecture diagrams, data flows, API specs, integration patterns)

Establish and enforce best practices in code quality, testing, and deployment

Lead code reviews, approve merges, and mentor engineers across teams

Troubleshoot complex production issues and drive resolution across distributed systems

Oversee the end-to-end lifecycle of feature development—from design through deployment and monitoring

What You Bring

5+ years of experience building scalable, production-grade software systems across front-end and back-end
Bachelor’s degree in Computer Science or a related field
Strong expertise in JavaScript and TypeScript
Proven experience with Node.js and GraphQL (required)
Deep experience building and consuming RESTful APIs and distributed services
Strong proficiency with tools and technologies such as Python, Docker, Git, SQL, and cloud-native architectures
Hands-on experience with GCP or AWS services (e.g., S3, CloudFront, EC2, RDS, Lambda, Batch)
Experience designing and implementing system integrations (microservices, third-party APIs, event-driven architectures, messaging systems like Kafka/SQS)
Ability to lead and deliver large, complex technical initiatives
Strong understanding of software design patterns, system architecture, and data flow design
Excellent communication skills, with the ability to articulate complex technical concepts clearly
Experience working in Agile/Kanban environments and a strong understanding of the SDLC
Adaptability and a proactive mindset in fast-paced, evolving environments

Nice to Have

Experience working on or building tax, fintech, or compliance-related products (e.g., tax calculation engines, filing systems, regulatory platforms)

Exposure to AI/ML engineering, including integrating LLM APIs, building data pipelines for ML workflows, or deploying AI-driven features

Experience with data platforms, data pipelines, or analytics systems

Familiarity with event-driven architectures and real-time data processing

Experience designing multi-tenant or enterprise-grade SaaS platforms

Background in integration-heavy environments (e.g., ERP, financial systems, external data providers)

Salary Range

$100,000 - $140,000 (CAD)

Why You’ll Love Working at ShyftLabs

At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us.

Here’s what you can expect when you join our team:

-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.

-Downtown Toronto Office: Work in the heart of the city.

-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.

-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.