L #2998
Applications open
Full-Time Job
Backend Focused Full Stack Developer - Next.js Expertise
WSI ALM
About the role
A leading Digital Marketing Agency based in Toronto, Canada with 80+ professionals is looking for a highly motivated Senior Backend-Focused Full Stack Developer for the digital agency. Our website is www.almcorp.com
You will be working from home, reporting directly to the Canadian office.
We are building a multi-tenant SaaS CRM platform and are looking for a backend-focused engineer who can own features end-to-end, enforce architectural consistency, and ensure data integrity, performance, and scalability in production systems.
You will use AI tools as accelerators—but must have strong fundamentals to validate and guide them.
What you will do
- Design and improve a multi-tenant SaaS architecture using next.js, vercel and google cloud tech stack
- Ensure strict data isolation between customers
- Build and maintain APIs and backend services
- Identify and fix performance bottlenecks
- Work with AI-assisted development (with strong validation and ownership)
- Strong backend experience (Next.js, TypeScript, C#, Java, etc.)
- Experience with SaaS or multi-tenant systems
- Understanding of authentication & authorization (JWT, RBAC)
- API design (REST / GraphQL)
- Data modeling for multi-tenant systems
- Strong SQL skills (PostgreSQL or similar)
- Experience with query optimization and indexing
- Pagination / batching strategies
- Ability to troubleshoot slow or failing systems
- Automated testing (unit / integration / e2e)
- Multiple environments (dev / staging / prod)
- CI/CD pipelines
- Ability to prevent bugs, not just fix them
- Takes ownership of problems and solutions
- Thinks beyond code — understands systems
- Comfortable in a startup-style environment
Not A fit If
- You are primarily frontend-focused
- You rely on AI without understanding the output
- You have little experience with backend systems or databases
Good to Have
- Experience with Supabase, AWS, or Vercel
- Experience with Row-Level Security (RLS)
- Experience refactoring existing systems
Eligibility & process
Who can apply
Seniority: Entry level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for WSI ALM and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
WSI ALM Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for WSI ALM and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Java, JavaScript, TypeScript, SQL, Next.js, REST APIs, GraphQL, PostgreSQL) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
WSI ALM Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join WSI ALM as a Backend Focused Full Stack Developer - Next.js Expertise?
Highlight WSI ALM's market reputation, recent tech innovations, and how your skills in Java directly solve their team's objectives.
Highlight WSI ALM's market reputation, recent tech innovations, and how your skills in Java directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Chennai, India
Seniority: Entry level. Employment type: …
