Senior Backend Developer

About Shyft Labs

At Shyft Labs, 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.

Shyft Labs 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, Type Script, Node.js, and Graph

QL remain core requirements for this role.

• 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, Graph
  
  QL, 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, Type Script, 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

• 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 Type Script
• 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, Cloud Front, 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

• 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…