Front End Developer( Need Local to MD Only) Skype Interview

Key Success Factors:

• We have received many client declines on submitted profiles due to several reasons
• 1) All Required skillsets are indeed required. The CV must list these skills imbedded into the body of the resume at the job where they did the work. It can also be listed in their skillset summary listing but it still needs to be listed within the actual job where the skill was used.
• 2) All Ideal skillsets are preferred for the client. If candidate has some of these Ideal skills, they will be positioned ahead of other candidates. These ideal skills must be listed within the CV at the job where they actually did the work. It should also be listed in their Skills Summary section
• 3) Resume must match their linkedin profile. At least the Company name, work duration and position title
• 4) Always list their Linkedin Profile URL. if they do not have one, then ask them why and indicate reason in the space of the BIO
• 5) Make sure when they answer the Table skillset questions that they do that in their own words and is specific to the question being asked. No AI answers allowed.
• 6) Always attach their DL, Work Auth if applicable and key certifications. Ensure their DL address matches what they stated in the BIO
• 7) The billrate must not be higher than the stated maximum. They have a strict budget on these roles. If you have any issues, let me know
• 8) If they are selected to move to the next step, they will receive an email with an SJA (Smart Job Application) link. They should promptly complete the information within the link by using their own words and it must be technically concise and detailed. If their answer looks like it was AI generated, they will be declined. Please inform each candidate accordingly.

BIO Profile info:
.Name (lower case letters only, First + Lastname):
.Ph number:
.Email:
.LinkedIn url:
.Work authorization:
.Name & Zip code where they physically live today:
.Open to Relocation: Yes
.Max Travel %:
.Preferred work (W2/Direct Hire, Contract, C2C, C2H, 1099):
.Start availability:
.Any upcoming vacation plans:
. English Communication skill level (1-10):
. Hourly rate (C2C, 1099 or W2):

. Base Salary goal (range)

Full Stack Engineer with a strong frontend and cloud focus to support a FinTech client in building a next-generation Feedback Loop Labelling application for surveillance and analytics pipelines. This is an opportunity to join a small, high-impact team developing the first version of a micro-application within a modern Surveillance Command Center platform.

In this role, you will work closely with product managers, backend engineers, and cross-functional stakeholders to design and deliver a scalable, user-friendly solution that enables the generation of high-quality ground truth datasets. The ideal candidate will have a strong foundation in modern web development, cloud-native architectures, and agile delivery practices, along with the ability to adapt quickly in a fast-paced environment.

This position offers exposure to advanced data pipelines, machine learning workflows, and real-time analytics, making it ideal for engineers who want to work at the intersection of cloud, data, and intelligent systems.

Responsibilities

• Collaborate with product, engineering, and business stakeholders to interpret requirements and design scalable web applications.
• Develop and implement full-stack solutions using modern frontend frameworks and cloud-native backend services.
• Build responsive, high-performance user interfaces that integrate seamlessly with existing enterprise platforms.
• Design and develop RESTful APIs and backend services in Python.
• Leverage AWS cloud services to build scalable, secure, and resilient applications.
• Ensure code quality, maintainability, and performance through best engineering practices.
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.
• Develop and maintain automated unit, component, and integration tests.
• Support the team in managing releases and shepherding solutions through the SDLC to production.
• Continuously improve application performance, usability, and reliability.
• Collaborate with data and ML teams to support labelled data workflows and feedback loop systems.
• Adapt to evolving priorities and contribute to innovative solutions in a dynamic environment.

Qualifications

Required:

• Bachelor s degree in Computer Science, Computer Engineering, or a related technical discipline.
• 5+ years of experience building production-quality, full-stack, multi-tier web applications.
• 3+ years of experience developing modern web frontends using Angular.
• 2+ years of experience building RESTful backend services using Python.
• Experience working with SQL and relational database systems.
• 3+ years of hands-on experience developing and deploying solutions on AWS.
• Experience working in Agile and Scrum environments with CI/CD practices.
• Strong understanding of software engineering fundamentals, including design, testing, and code quality.
• Experience writing automated unit, integration, and component tests.
• Ability to work in fast-paced environments and adapt to changing priorities.

Preferred:

• Experience working with data pipelines integrated with machine learning models.
• Exposure to big data technologies such as Spark, Kafka, Flink, or similar.
• Familiarity with supervised machine learning, labelled datasets, and feedback loop systems.
• Experience working in financial services, compliance, or surveillance domains.
• Experience building data-driven or analytics-focused applications.
• Strong problem-solving skills and interest in emerging technologies.