Social Media Marketer

Job Title:- Senior NextJS Developer

Experience:- 5+ Years

Location:- Remote (Anywhere in india)

Work Mode:- WFH (Initial 3 months contract)

Notice Period:- Immediate joiner - 15 days

Primary Skills:

●5+ years of proven experience as a Frontend developer with a strong portfolio of previous 

work. 

●Proficiency in Next.js, React.js, and Tailwind CSS. 

●Familiarity with Material UI CSS is a strong plus. 

●Experience with Node.js is an added advantage. 

●Strong understanding of responsive design principles and mobile-first development. 

●Experience with front-end build tools, such as Webpack or Babel. 

●Solid understanding of version control systems, such as Git. 

●Experience with RESTful APIs and GraphQL. 

●Knowledge of state management libraries like Redux or Mobx. 

●Strong problem-solving skills and attention to detail. 

●An eye for design and a passion for delivering outstanding user experiences. 

●Experience with server-side rendering (SSR) and static site generation (SSG) using Next.js. 

●Familiarity with continuous integration and deployment (CI/CD) pipelines. 

●Experience with back-end development and database systems is a plus. 

Job Posting Status

We are hiring an experienced Frontend Engineer to help us keep growing. We develop AI enabled products and solutions that are geared to help accelerate the development of new cures and reduce inefficiencies in how healthcare information is managed. If you're dedicated and ambitious, Applied Informatics is an excellent place to grow your career. Don't hesitate to apply.

As a frontend developer who is proficient with React.js, HTML, CSS, SASS, your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (Redux). You should have experience in technologies like JavaScript, React JS & Redux, HTML and CSS.

Responsibilities ;

- Developing new user-facing features using React.js

- Building reusable components and front-end libraries for future use

- Translating designs and wireframes into high quality code

- Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills :

- Strong proficiency in CSS,SASS, JavaScript, including DOM manipulation and the JavaScript object model

- Thorough understanding of React.js and its core principles

- Experience with popular React.js workflows (Redux)

- Familiarity with newer specifications of EcmaScript

- Familiarity with RESTful APIs

- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

- Ability to understand business requirements and translate them into technical requirements.

- Ability to learn new technologies quickly.

The process: a quick phone screen, technical interview, take-home exercise then a zoom call with the team.

• Strong Experience in Java and related frameworks such as EJB, Spring and Spring Boot
• Strong Experience in REST API based Microservices development & integration that includes long running orchestration services
• Experience implementing services with modern authentication using OAuth 2.0, SAML, JWT
• Implementation Experience in RDBMS (DB2/PostgreSQL) and good SQL query knowledge
• Strong CI/CD experience with GitHub CI/CD or Jenkins or Maven
• Creating custom, general use modules and components which extend the elements and modules of core

-7+ years of experience in API automation and UI automation
-Experience in creating and maintaining CI/CD pipelines and infrastructure for automation and testing

-Must be able to demonstrate expertise with functional automated testing platforms

-Good understanding of OOD and SOLID design principles

-Understanding of basic architecture principles and architecture design and how it affects testing

- Strong knowledge and practical experience of continuous integration and continuous delivery concepts and practices

-Experience with managing and maintaining automated testing frameworks and tools used across teams

• Reviews design specifications to understand the scope, requirements, and function of the software product.
• Preparation of test data and execution of test cases (including functional, system, regression, performance, API and database layer etc.)
• Identifies appropriate processes, parameters, functions, and data to test and validate; parameters may include general function, the validity of results, accuracy, reliability, and compliance with industry standards.
• Lead and participate in test case reviews with Business, Developers, other team members
• Estimate, prioritize, plan and coordinate testing activities
• Ensure that user expectations are met during the testing process
• Design, develop and execute automation scripts using open source tools
• When a product does not perform within specifications, reporting defects to programmers while identifying and recommending solutions, improvements, and updates.
• Identifies, logs, and recreates error codes, bugs, and defects.
• Draft quality assurance policies and procedures
• Investigate production issues
• Conducts testing to ensure products perform according to product requirements and within established guidelines.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

Looking for talented and passionate people to be part of the team for an upcoming project at client location.

QUALIFICATION AND EXPERIENCE

• Preferably have a working experience of 4 Years and more , on production PostgreSQL DBs.
• Experience of working in a production support environment
• Engineering or Equivalent degree
• Passion for open-source technologies is desired

ADDITIONAL SKILLS

• Install & Configure PostgreSQL, Enterprise DB
• Technical capabilities PostgreSQL 9.x, 10.x, 11.x
• Server tuning
• Troubleshooting of Database issues
• Linux Shell Scripting
• Install, Configure and maintain Fail Over mechanism
• Backup - Restoration, Point in time database recovery
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.

RESPONSIBILITIES

• Monitoring database performance
• Optimizing Queries and handle escalations
• Analyse and assess the impact and risk of low to medium risk changes on high profile production databases
• Implement security features
• DR implementation and switch over

WHAT IS IN IT FOR YOU?