{"id":720992,"url":"https://alion.io/job/shyftlabs-senior-backend-developer","title":"Senior Backend Developer","company":{"id":685982,"name":"Shyftlabs","domain":"shyftlabs.io","url":"https://alion.io/company/shyftlabs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":91,"open_postings":25,"ghost_share":0,"stale_share":0.36,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":131000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":255},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"Kanban","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-03-18T20:36:00Z","employer_posted_date":"2026-03-18","last_verified_at":"2026-10-31T04:37:30Z","board_verified":true,"closed_at":null,"days_open":226,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":226},"description":"About ShyftLabs\nAt 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.\nThe Opportunity\nShyftLabs 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.\nYou 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.\nThe 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.\nWhat You'll Do\nDesign and development of scalable, service-based architectures (front-end and back-end), while remaining hands-on in coding and delivery\n\nArchitect and implement system integrations across internal services and third-party platforms (REST, GraphQL, event streams, webhooks, ETL pipelines)\n\nCollaborate with Product to translate business requirements into technical solutions, defining scope, complexity, and dependencies\n\nDrive development across teams for services built in Node.js, TypeScript, JavaScript, and Python\n\nDesign and maintain API contracts, data models, and integration patterns to ensure consistency and reliability across systems\n\nBuild and optimize secure, high-performance, and highly available systems\n\nContribute to AI-enabled features and workflows, including integration of ML models, LLM APIs, or intelligent automation pipelines\n\nPartner with architects to define system design, integration strategies, and reusable frameworks\n\nProduce clear technical documentation (architecture diagrams, data flows, API specs, integration patterns)\n\nEstablish and enforce best practices in code quality, testing, and deployment\n\nLead code reviews, approve merges, and mentor engineers across teams\n\nTroubleshoot complex production issues and drive resolution across distributed systems\n\nOversee the end-to-end lifecycle of feature development-from design through deployment and monitoring\n\nWhat You Bring\n5+ years of experience building scalable, production-grade software systems across front-end and back-end\n\nBachelor’s degree in Computer Science or a related field\n\nStrong expertise in JavaScript and TypeScript\n\nProven experience with Node.js and GraphQL (required)\n\nDeep experience building and consuming RESTful APIs and distributed services\n\nStrong proficiency with tools and technologies such as Python, Docker, Git, SQL, and cloud-native architectures\n\nHands-on experience with GCP or AWS services (e.g., S3, CloudFront, EC2, RDS, Lambda, Batch)\n\nExperience designing and implementing system integrations (microservices, third-party APIs, event-driven architectures, messaging systems like Kafka/SQS)\n\nAbility to lead and deliver large, complex technical initiatives\n\nStrong understanding of software design patterns, system architecture, and data flow design\n\nExcellent communication skills, with the ability to articulate complex technical concepts clearly\n\nExperience working in Agile/Kanban environments and a strong understanding of the SDLC\n\nAdaptability and a proactive mindset in fast-paced, evolving environments\n\nNice to Have\nExperience working on or building tax, fintech, or compliance-related products (e.g., tax calculation engines, filing systems, regulatory platforms)\n\nExposure to AI/ML engineering, including integrating LLM APIs, building data pipelines for ML workflows, or deploying AI-driven features\n\nExperience with data platforms, data pipelines, or analytics systems\n\nFamiliarity with event-driven architectures and real-time data processing\n\nExperience designing multi-tenant or enterprise-grade SaaS platforms\n\nBackground in integration-heavy environments (e.g., ERP, financial systems, external data providers)\n\nSalary Range\n$100,000 - 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