Seeking to fill in a Lead Angular front end Software Engineer for immediate hybrid w2 contract opportunity with my direct client in Fort mill SC.
If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for hybrid work , skill stack and LinkedIn.
Reach me for more details. thanks.
If not, Appreciate any referrals.
Location: Fort Mill, SC – hybrid 3 days a week
Interview process: First step: Codility test, followed by 4 stages of interviews
Title: Senior Front End Developer
Role Overview
As a Senior Front End Developer, you will build and evolve enterprise-grade web applications with Angular as the primary framework and React as a key secondary capability. You’ll be a hands-on engineer who can deliver independently, shape implementation approaches, and proactively drive work forward—even when requirements are incomplete.
This role is for someone who is highly AI-proficient: you’ve used AI-assisted engineering tools to ship real production software, accelerate delivery, improve quality, and enhance developer workflows responsibly and securely.
You will work closely with product, UX, backend, platform, and QA to deliver scalable, maintainable, high-performing, and accessible front-end solutions aligned to business outcomes, especially in financial services contexts.
Minimum Requirements (Must Have)
- Front-end leadership & delivery
Significant experience delivering modern front-end applications in enterprise environments, with deep hands-on Angular expertise.
Strong TypeScript, HTML, CSS/SCSS/Tailwind; excellent component design and maintainability discipline
Proven ability to deliver independently: turning goals into shippable increments, managing ambiguity, and driving outcomes.
-Angular (dominant) + React (capable)
Strong Angular architecture knowledge (routing, DI, RxJS, state patterns, performance practices).
Working proficiency in React (Hooks, component patterns, state/data fetching approaches), able to contribute confidently in mixed ecosystems.
- High AI proficiency with real delivery outcomes
Demonstrated experience using AI tools in day-to-day engineering to ship production software (examples: accelerating feature development, refactors, test generation, code review support, documentation automation).
Ability to apply AI responsibly: secure-by-default practices, avoiding sensitive data leakage, validating outputs, and maintaining accountability.
- Quality, reliability & CI/CD
Experience with automated testing frameworks, CI/CD pipelines, and performance profiling/observability practices.
Strong approach to code review, technical documentation, and maintainable standards.
- Communication & stakeholder engagement
Excellent communication skills: explain technical decisions, trade-offs, and risks clearly to engineers and non-engineers.
Collaborative mindset: effective across teams and time zones; able to influence without authority.
- Finance / business acumen
Strong business thinking in financial services contexts: appreciation for correctness, auditability, resiliency, and performance expectations in regulated environments.
* GraphQL experience (e.g., Apollo Client) and/or strong API integration experience.
* Micro-frontend architecture exposure and/or module federation experience.
* Monorepo experience (e.g., Nx) and shared library ownership.
* Design systems / component libraries; ability to collaborate tightly with UX using tools such as Figma.
* Cloud exposure (e.g., AWS) and familiarity with production constraints in large organisations.
* Financial services domain experience (market data, indices, risk, trading workflows, reporting, compliance).
Key Responsibilities
1) End-to-end delivery & engineering excellence
Deliver front-end features from discovery to production, including implementation, testing, performance tuning, and operational readiness.
Build high-quality, maintainable UI code using modern Angular patterns, component-driven design, and strong TypeScript discipline.
2) AI-accelerated software delivery (must have real experience)
Use AI coding assistants effectively (e.g., pair-programming, refactors, test generation, documentation) while maintaining strong engineering judgement and code ownership.
Apply AI tools to increase throughput and quality: faster iteration cycles, better test coverage, improved readability, and reduced defects.
Contribute to team AI practices: prompt patterns, guardrails, secure usage, and measurable outcomes (e.g., cycle time, defect reduction, PR quality).
3) Modern Angular + React capability
4) Architecture contribution & cross-team collaboration
5) Proactive ownership & ambiguity handling
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