Business Development/ Sales Enterprise

Job description :

Back-End Developer (B2B SaaS)

Location : Kashmere Gate, Delhi (Hybrid)

NP : Immediate Joiner

Experience : 2.5years to 4years

About Us :

Eazybe is transforming workplace communication by creating innovative tools on top of popular messaging platforms like WhatsApp, phone calls, and more. As we expand our reach into international markets, we're looking for dynamic sales professionals to join our team!

Key Responsibilities :

Backend Development: Write clean, maintainable, and efficient code for server-side applications.

API Design & Integration: Build and maintain RESTful or GraphQL APIs to support various front-end and mobile applications.

Database Management: Design, implement, and maintain robust databases, ensuring data integrity and security.

Performance Optimization: Optimize applications for maximum speed and scalability.

Collaboration: Work closely with front-end developers, product managers, and other team members to ensure seamless integration of functionalities.

Debugging & Troubleshooting: Identify and fix bugs, bottlenecks, and system issues.

Security: Implement best practices for securing backend systems and data.

Documentation: Prepare technical documentation and reports for system and code processes.

Qualifications :

- Proficient in solving Data Structures and Algorithms (DSA) problems.

- Demonstrated experience with platforms like LeetCode or similar competitive programming environments.

- Strong aptitude and problem-solving skills, with the ability to think critically and approach challenges creatively.

- A sharp analytical mindset with a proven ability to learn and adapt quickly.

- Proficiency in server-side programming languages such as Python, Node.js, Ruby, Java, PHP, or others.

- Experience with frameworks like Django, Express, Flask, Spring Boot, etc.

- Strong understanding of databases (SQL and NoSQL), such as MySQL, PostgreSQL, MongoDB, Redis, etc.

- Familiarity with API standards and development (REST, GraphQL).

- Knowledge of cloud platforms like AWS, Azure, Google Cloud, or others.

- Experience with version control tools like Git.

What We Offer :

- 12 days of Paid Time Off (PTO) annually

- 10 days of Working From Anywhere (WFA) annually

- Hybrid Work Model: 4 days in-office and 2 days from home

Convenient Office Location : Just a 7-minute walk from Kashmiri Gate Metro

- Candidates who meet the criteria will undergo 2 to 3 interviews and a possible paid work trial focusing on analytical and technical skills.

- If you're passionate about backend development and eager to work in a fast-paced, innovative environment, we want to hear from you.

Key Responsibilities

1. Architect & Design

• ○ Define and maintain service architecture in Go and Node.js, ensuring scalability, resilience, and low latency.
• Lead the creation and upkeep of comprehensive Entity-Relationship Diagrams (ERDs) and maintain an up-to-date data model library.

2. Team Leadership & Mentorship

• Manage, mentor, and inspire a diverse team of 5–10 backend engineers (“maverick” talent), fostering collaboration, autonomy, and ownership.
• Conduct regular code reviews, design discussions, and performance feedback sessions.

3. AI/ML Integration

• Collaborate with Data Science and ML engineers to integrate OpenAI models (e.g., GPT-4) for features like smart audio transcription, summarization, and recommendation.
• Work with DataStax (Cassandra) or similar NoSQL systems to power low-latency user analytics and AI inference pipelines.

4. Delivery & Quality

• Establish and enforce best practices for CI/CD, automated testing, performance benchmarking, and observability (metrics, logs, tracing).
• Own SLA/SLOs and incident response processes, driving rapid root-cause analysis and post-mortems.

5. Cross-Functional Collaboration 

• Partner with Product, UX, and DevOps to translate business goals into technical roadmaps and deliver on tight timelines.
• Evangelize backend and data architecture decisions across the engineering organization.

Must-Have Qualifications

● Technical Expertise:

1. 6+ years backend experience with Go and Node.js, building microservices in production.
2. Deep understanding of RESTful APIs, gRPC, message queues (Kafka/RabbitMQ), and event-driven architectures.

• Data Modeling:

1. Proven ability to author and maintain ERD documents, relational and NoSQL schema design (PostgreSQL, DataStax Cassandra).

● Team Leadership:

1. 2+ years managing high-performance engineering teams, with a track record of growing and mentoring “maverick” engineers.

● AI/ML Integration:

1. Hands-on experience integrating AI/ML models, preferably OpenAI APIs or
2. custom ML pipelines, into backend systems

● Operational Excellence:

1. Strong background in designing CI/CD pipelines (Jenkins/GitHub Actions), containerization (Docker/Kubernetes), and cloud services (AWS/GCP).

Nice-to-Have

● Experience with GraphQL or real-time streaming architectures (WebSockets).

● Familiarity with large-language‐model fine-tuning and hosting on infrastructure like AWS SageMaker or Azure ML.

● Background in user-centric analytics and personalization algorithms.

● Open source contributions in Go or Node.js ecosystems.

What We Offer

● Competitive salary with performance bonuses and equity options.

● Flexible work hours and hybrid work policy.

● Generous learning & development budget for conferences, courses, and certifications.

● A culture that values creativity, ownership, and rapid experimentation.

● Opportunity to shape the future of audio social in India’s biggest emerging markets.

• Greet and welcome visitors in a professional and friendly manner
• Answer and direct phone calls promptly and efficiently
• Manage the reception area, ensuring it is clean and organized
• Provide administrative support to various departments, including typing, filing, and scheduling meetings
• Assist with vendor management tasks, such as maintaining vendor records, processing orders, and resolving vendor inquiries
• Perform basic accounting tasks, including processing invoices, reconciling accounts, and preparing financial reports
• Assist with other ad-hoc tasks and projects as needed

Requirements:

• Diploma or equivalent or higher; additional education or certification in office administration or accounting is a plus
• Proven experience in a receptionist, administrative assistant, or similar role
• Strong communication and interpersonal skills
• Excellent organizational and time management abilities
• Proficiency in Microsoft Office suite (Word, Excel, Outlook)
• Basic knowledge of accounting principles and practices
• Ability to multitask and prioritize tasks effectively in a fast-paced environment

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

Roles and Responsibilities

Generation of business from Direct Accounts and achieving sales targets, specialized in IT sectors

Identifying new sales leads targeting international market

Knowledge of end to end life cycle of Recruitment, RPO, Managed Service ( MSP) and Staffing solutions

Researching organizations and individuals online (especially on social media) to identify new leads

Planning and overseeing new marketing initiatives

Strong networking in handling international market ( Europe, North America, APAC, UAE)

Mapping the prospect clients in IT industry and generate the leads

Going and meeting F2F with the HR and generate RPO & MSP business deals

Must be well versed with email marketing, lead generation, demand forecasting, market research, social media selling, sales enablement, sales funnel building, cold calling, LinkedIn reach out

Must have knowledge of the basis lead generation tools and processes

Have an insatiable thirst to be successful, drive to be the best, and motivation to make it all happen

Desired Candidate Profile

-Minimum 4+years of experience in selling staffing solution to international market

-Must have solid existing customers network and willingness to find new customers quickly.

-Must have very positive and result oriented attitude

-Must have ability to meet given targets

Remote

basic pay + Commission (On extra hours)

Job type : Part time /Full time

As per 5 yrs below is the tech stack that he should know around django:

·         Django forms

·         Django Rest APIs

·         Schedulers/Cron Jobs

·         Customising middlewares

·         Customising permission classes

·         Management commands

·         Fixtures

·         Multiple Environment handling

·         Multiple database integration

·         SQL and NoSQL database integration experience

·         Use of loggers or any logging mechanism

·         Signals

·         Push notifications over IOS/Android devices

·         Email notifications

·         Websockets

·         Unit testing

·         Caching

·         Payment gateway integration

AWS & Deployment Skills:

·         Deployment of Django over EC2 using Nginx or Apache2

·         Configuring the Django to run the services like websockets, celery

·         Using and configuring the RDS

·         Should know how to use S3 buckets

aws-lambda