Job Overview:
We are seeking a highly skilled MERN Full stack Staff Engineer (Architect) 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:
●Collaborate with the Engineering Group and Product team to understand
requirements and design comprehensive solutions.
●Optimize applications for maximum speed, scalability, and security.
●Implement security and data protection measures.
●Build high-quality, reusable code for both frontend and backend applications.
●Document and communicate application design, topologies, and architecture clearly
to peers and the business.
●Work closely with User Experience, Product Management, Engineering,
and Marketing teams to create outstanding web experiences.
●Partner with Engineering and other teams to develop new frameworks,
feature sets, and functionalities.
●Lead and coach team members, promoting thought leadership and project
excellence.
●Provide technical leadership, ensuring adherence to best software
engineering practices, such as TDD, continuous integration, delivery, and
deployment.
Must have experience requirements:
●Education and experience:
○Bachelor’s or Master’s degree in Computer Science, Engineering, or a related
field.
○Minimum of 10+ years of professional experience in full-stack
development.
●Technical Requirements:
○Proficiency in JavaScript, including ES6 and beyond, asynchronous programming, closures, and prototypal inheritance.
○Expertise in modern front-end frameworks/libraries (React, Vue.js).
○Strong understanding of HTML5, CSS3, and pre-processing platforms like SASS or LESS.
○Experience with responsive and adaptive design principles.
○Knowledge of front-end build tools like Webpack, Babel, and npm/yarn.
○Proficiency in Node.js and frameworks like Express.js, Koa, or NestJS.
○Experience with RESTful API design and development.
○Experience with Serverless.(Lambda, CloudFunctions)
○Experience with GraphQL.
○Experience with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).
○Experience with caching & search frameworks. (Redis, ElasticSearch)
○Proficiency in database schema design and optimization.
○Experience with containerization tools (Docker, Kubernetes).
○Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
○Knowledge of cloud platforms (AWS, Azure, Google Cloud).
○Proficiency in testing frameworks and libraries (Jest, vitest, Cypress,
Storybook).
○Strong debugging skills using tools like Chrome DevTools, Node.js debugger.
○Expertise in using Git and platforms like GitHub, GitLab, or Bitbucket.
○Understanding of web security best practices (OWASP).
○Experience with authentication and authorization mechanisms (OAuth, JWT).
○System Security, Scalability, System Performance experience
●Leadership & Team:
○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
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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