Mobile Application Testers

Job Description :

Position Name: Network Software Developer

Experience: 4 to 8 Years 

Work Mode: Work from Bangalore office (near Bellandur) all 5 days. 

Mandatory: 

1. 4+ years of work experience in Networking domain. 
2. Highly proficient in C and Linux environment.
3. Experience in working on Linux based large code base. 
4. Hands-on experience in working OpenWrt based router firmware. 
5. Hands on experience with IP and lower layer networking protocols.

Great to Have: 

• Experience in working on Qualcomm and MediaTek chipsets. 
• Experience in Linux device drivers and device trees.
• Experience in creating and applying Linux kernel patches.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

🔍 𝐑𝐨𝐥𝐞: Full-Stack Developer

📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Chennai

💼 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐋𝐞𝐯𝐞𝐥: 3 to 5 years

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞:

As a Full-Stack Developer at ClubSpot, you will:

🔧 Develop and maintain scalable backend systems using Node.js and PostgreSQL.

🌐 Build and optimize frontend components with React and TypeScript.

📡 Design, develop, and maintain APIs (GraphQL and REST) for efficient data communication.

🤝 Collaborate with cross-functional teams to ideate, design, and deliver new features.

💬 Participate in technical discussions and contribute to architectural decisions.

🧹 Write clean, scalable, and maintainable code adhering to best practices.

🛠️ Troubleshoot, debug, and optimize the platform for performance and scalability.

📚 Contribute to team growth through collaborative programming, code reviews, and knowledge sharing.

𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬:

🎓 At least 3 years of experience as a Full-Stack Developer, with strong backend and frontend expertise.

🔧 Proficiency in Node.js, TypeScript, and React for frontend development.

🗃️ Experience with relational databases like PostgreSQL.

📡 Solid knowledge of API development (GraphQL and REST).

☁️ Familiarity with cloud platforms, preferably AWS.

🔄 Strong understanding of system architecture and best practices in software development.

🧠 Exceptional problem-solving and communication skills, both technical and non-technical.

🐳 Knowledge of containerization technologies (Docker, Kubernetes).

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐔𝐬?

- Work in a collaborative, transparent environment.

- Learn and grow with cutting-edge technologies.

- Make a significant impact on a product transforming sports club management.

ABOUT EPISOURCE:

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.

What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.

ABOUT THE ROLE:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.

During the course of a typical day with our team, expect to work on one or more projects around the following;

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

• Designing and Developing web applications using Laravel 7 / 8
• Closely working front-end and back-end developers on projects.
• Hands on experience with handing MySQL queries
• Excellent logical and analytics skill
• Experience on handling and developing API end points
• Experience with Payment Gateway integrations and implementations
• Knowledge on any Frontend Framework - Bootstrap / Foundation / Backbone (Secondary skills, added advantage)

• Follow standard coding structure with Security first approach to avoid vulnerabilities such as SQL Injection and XSS
• Sound knowledge on integrating multiple payment gateway