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Full-stack developer (AI-assisted development)

TechBiz Global

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At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Full-stack developer to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Responsibilities:

performance across all 6 portals

Prisma ORM

coordination with QA on data integrity

portal has distinct user roles and data access patterns

debug, and refactor

(test generation, documentation, migration scripts, code reviews)

workflows

quality gate criteria, and static analysis compliance (4,484+ issues being burned down in waves)

in addition to human reviewers

workflow automation interfaces

- Optimize application performance for millions of concurrent users - efficient database queries,
connection pooling, caching strategies (Redis/ElastiCache), lazy loading, and code splitting
• Design and implement scalable data access patterns - pagination, cursor-based queries, read
replicas, and query optimization for high-throughput workloads
• Build systems that handle tens of millions of sessions without degradation - connection management,
rate limiting, graceful degradation, and horizontal scaling patterns
• Profile and resolve performance bottlenecks across the full stack: frontend rendering, API response
times, database query plans, and cache hit ratios
• Collaborate closely with designers, product managers, and QA to deliver features rapidly
• Contribute to the Marcia Enabled ecosystem - building AI-powered features across the platform

Requirements

agentic coding tool) as your primary development environment. You must demonstrate fluency in

prompt engineering for code, sub-agent orchestration, multi-file refactoring via AI, and AI-driven test

generation.

tasks - writing tests, generating docs, running migrations, and reviewing PRs via AI.

completions, and rapid prototyping.

ORM (schema design, migrations, seeding)

millions of users with high concurrency. You must understand database query optimization,

connection pooling, caching strategies, horizontal scaling patterns, and how to profile and resolve

bottlenecks across the full stack.

database costs, right-sizing infrastructure, and writing efficient code that minimizes compute and

memory consumption at scale.

Platform (GKE, Cloud Run, BigQuery, Cloud Functions)

workflow requirement

code that passes static analysis

via Tailscale VPN, not local machines. SSH-based workflows required

level. Pushing secrets triggers alerts. Security consciousness is non-negotiable.

Nice-to-Have Skills:

Originally posted on Himalayas

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