Full-Stack TypeScript Engineer
WanderSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- 5+ years of professional experience as a Full stack Developer
- Strong proficiency in Node.js and TypeScript
- Hands-on experience with Next.js and React.js
- Solid knowledge of PostgreSQL, MongoDB, Cassandra, and Elastic Cache
- Proven experience in AWS cloud deployments (S3, EKS, RDS)
- Familiarity with distributed systems, containerization (Docker/Kubernetes), and microservices
- Excellent problem-solving skills and ability to work in a fast-paced environment
- Strong communication and collaboration skills
Responsibilities
- Design, develop, and maintain end-to-end web applications (backend + frontend)
- Build RESTful and GraphQL APIs using Node.js and TypeScript
- Develop dynamic and responsive UI components with React.js and Next.js
- Work with databases including PostgreSQL, MongoDB, Cassandra, and caching solutions like Elastic Cache
- Manage deployments on AWS cloud services such as S3, EKS, and RDS
- Optimize system performance, ensure application security, and implement best coding practices
- Collaborate with product managers, designers, and QA teams to deliver high-quality solutions
- Troubleshoot, debug, and upgrade existing systems while ensuring scalability
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the compensation like for this Senior Fullstack Developer role?
ShyftLabs offers a competitive salary alongside a strong insurance package.
Is this position remote or does it require office work?
This information is not specified in the job description.
What key skills are required for this Senior Fullstack Developer position?
Candidates need 5+ years of fullstack experience, strong proficiency in Node.js and TypeScript, hands-on experience with React.js and Next.js, solid knowledge of databases like PostgreSQL, MongoDB, Cassandra, and Elastic Cache, and proven AWS deployment experience with S3, EKS, and RDS.
What is the company culture like at ShyftLabs?
ShyftLabs is a growing data product company founded in 2020 that works with Fortune 500 clients, focuses on innovation to accelerate business growth, and prides itself on employee growth with extensive learning and development resources.
What makes a strong candidate for this role?
A strong candidate has 5+ years of fullstack experience, proficiency in Node.js, TypeScript, React, Next.js, specified databases, AWS deployments, plus familiarity with distributed systems, containerization, microservices, excellent problem-solving, and strong communication skills for a fast-paced environment.
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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