Job Overview:
We are seeking a highly skilled Senior Fullstack Engineer to join our dynamic team. This role demands extensive experience in both frontend and backend development, along with a strong grasp of cloud technologies and database management. You will work closely with the Engineering team, Product team, and other stakeholders to design and implement scalable, secure, and high-performance solutions. As a technical leader, you will ensure adherence to best practices, provide mentorship, and drive cross-functional collaboration.
Responsibilities
Technical Ownership: Design and architect complex, scalable full-stack solutions across multiple teams and systems.
Hands-on Development: Write clean, maintainable, and efficient code primarily in React (frontend) and Node.js (backend).
Cross-Functional Collaboration: Work with product, design, QA, and DevOps to drive alignment and deliver business value.
Code & Design Reviews: Set and enforce coding standards, review code regularly, and guide design discussions.
Scalability & Performance: Optimize applications for speed, efficiency, and scalability across services and UIs.
Mentorship: Guide and upskill senior/staff engineers and engineering leads. Drive best practices and continuous learning.
Tech Strategy: Contribute to long-term technology vision, evaluate new tools/frameworks, and de-risk architectural decisions.
DevOps and CI/CD: Collaborate on infrastructure automation, deployment pipelines, and observability practices.
Security & Compliance: Ensure engineering outputs meet high standards of security, data privacy, and compliance (e.g., GLBA, GDPR,CCPA etc).
Must have experience requirements:
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
12+ years of software engineering experience, including 7+ years in full-stack development.
Deep expertise in React, Node.js, and TypeScript.
Proven experience architecting complex systems and influencing tech direction at scale.
Solid understanding of data structures, system design, API design, and microservices.
Experience with cloud-native apps, containers, and DevOps workflows.
Strong communication, mentorship, and leadership-by-influence skills.
Tech Stack:
Frontend: React, Redux/Context API, TypeScript, Tailwind/CSS-in-JS
Backend: Node.js, Express/Nest.js, TypeScript
API: REST, GraphQL
Database: PostgreSQL, MongoDB, Redis
Infra/DevOps: Docker, Kubernetes, GitHub Actions, AWS/GCP
Testing: Jest, Cypress, React Testing Library, Supertest
Leadership & Team:
Proven experience in coaching and mentoring a team of developers.
Proven track record of delivering complex projects successfully.
Ability to conduct code reviews and provide constructive feedback.
Experience in agile methodologies (Scrum, Kanban).
Ability to manage project timelines and deliverables effectively.
Excellent verbal and written communication skills.
Ability to explain technical concepts to non-technical stakeholders.
Strong analytical and problem-solving skills.
Ability to troubleshoot and resolve complex technical issues.
Experience in working with cross-functional teams (designers, product managers, QA).
Ability to quickly learn and adapt to new technologies and frameworks.
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health well-being
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices.
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