Engineering Manager

Job Overview:

We are seeking a dedicated and efficient Receptionist to join our healthcare facility. The ideal candidate will play a crucial role in ensuring smooth operations by handling various front desk responsibilities. This includes addressing customer inquiries, scheduling appointments, collecting patient feedback, providing health insurance recommendations, and offering guidance on diagnoses.

Night Shift Only

Responsibilities:

1. Customer Service:

  - Addressing and resolving customer queries in a professional and courteous manner.

  - Assisting patients with appointment scheduling and maintaining their availability records.

2. Appointment Management:

  - Efficiently coordinating and fixing appointments for doctors based on patient preferences and availability.

3. Feedback Collection:

  - Soliciting feedback from patients to continuously improve the quality of services provided.

4. Health Insurance Recommendation:

  - Offering guidance and recommendations on suitable health insurance options to patients.

5. Diagnosis Guidance:

  - Providing basic information and guidance to patients regarding their diagnoses and treatments.

We are looking for a highly skilled Senior Software Engineer with over 5 years of experience in full stack development using React.js and Node.js. As a senior member of our engineering team, you’ll take ownership of complex technical challenges, influence architecture decisions, mentor junior developers, and contribute to high-impact products.

Key Responsibilities:

Design, build, and maintain scalable web applications using React.js (frontend) and Node.js (backend).

Architect robust, secure, and scalable backend APIs and frontend components.

Collaborate closely with Product Managers, Designers, and DevOps to deliver end-to-end features.

Conduct code reviews, enforce best practices, and guide junior developers.

Optimize application performance, scalability, and responsiveness.

Troubleshoot, debug, and upgrade existing systems.

Stay current with new technologies and advocate for continuous improvement.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

5+ years of experience in full stack development.

Strong expertise in React.js and related libraries (Redux, Hooks, etc.).

In-depth experience with Node.js, Express.js, and RESTful APIs.

Proficiency with JavaScript/TypeScript and modern frontend tooling (Webpack, Babel, etc.).

Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).

Solid understanding of CI/CD, testing (Jest, Mocha), and version control (Git).

Familiarity with cloud services (AWS/GCP/Azure) and containerization (Docker, Kubernetes) is a plus.

Excellent communication and problem-solving skills.

Nice to Have:

Experience with microservices architecture.

Knowledge of GraphQL.

Exposure to serverless computing.

Prior experience working in Agile/Scrum teams.

Hello candidates,

We are excited to announce an opportunity for React.JS professionals in Chennai. We are seeking skilled developers who are passionate about building cutting-edge web applications and contributing to a dynamic team environment.

As a React.JS developer with our company, you will have the opportunity to work on a range of exciting projects, collaborating with cross-functional teams to develop high-quality software solutions. You will be responsible for developing and maintaining front-end components that meet our clients' requirements and adhere to industry standards.

To be considered for this opportunity, you must have a strong understanding of React.JS and related web technologies such as HTML, CSS, and JavaScript. Additionally, experience with Redux and Node.js will be a significant advantage.

If you are looking for a challenging role in a dynamic work environment and have the necessary skills and experience to excel in this position, we encourage you to apply for this opportunity.

The 2018 Forbes Indonesia Choice Award winner and Galen Growth’s 2018 Most

Innovative HealthTech Startup in Asia. Ours is a secure health-tech platform with a mission to

simplifying access to healthcare by connecting millions of patients with licensed doctors, insurance, labs, and pharmacies in one mobile application.

Key Job Responsibilities:

• He/She is a responsive team player who can proactively contribute for building technical

strategies for applications and systems by promoting an understanding of the technology and

business roadmap.

• He /she is someone who thrives in a fun, fast-paced, dynamic, startup-like environment.
• Work very closely with various business stakeholders to drive the execution of multiple

business plans and technologies.

• Work closely with Product, Design, and Marketing to conceive features, plan projects, and

build roadmaps

• Prior experience with scalable Architecture managing team of minimum 5 engineers and

coaching, mentoring while maintaining a role with code development.

• Proven history of contributing to product strategy and shipping products with multi-functional

teams.

• Highly involved in recruitment while building team also leading app development for both

platforms

• Promote and support company policies, procedures, mission, values, and standards of ethics

and integrity.

Minimum Qualification:

• Total of 10+ years experience
• Experince in performance appraisal and people management.
• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections,

popular frameworks & libraries}, JVM, GC tuning, performance tuning)

• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard, REST

Express etc

• Worked on Relational data stores viz. MySQL, Oracle, or Postgres
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB, etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak, etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc

  Questions

  1. How many years of Techno-managerial experience do you have? 
  2. How many performance review cycles did you do?
  3. What is the size of the team that you've managed?

   

   

   

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server