Job Description
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.
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