Backend Engineer

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most systems work at a low scale.

Very few survive real production load, complex workflows, and enterprise edge cases.

We are building a platform that must:

• Scale from 500K → 20M+ interactions/month
• Handle complex insurance workflows reliably
• Become easier to deploy as it grows, not harder

This role exists to build the backend foundation that makes this possible.

What you’ll do

You will not just write services.

You will design and own core platform systems.

1. Scale the platform without breaking architecture

• Scale from 50K → 2M+ interactions/month
• Ensure:
• High availability
• Low latency
• Fault tolerance
• Avoid large rewrites — build systems that evolve cleanly

2. Build the workflow automation (WA) engine

• Design a flexible system with:
• States
• Stages
• Cohorts
• Dynamic workflows
• Ensure workflows:
• Handle edge cases reliably
• Can be configured easily
• Move from:
• Hardcoded flows → configurable execution engine

3. Build the insurance-specific data layer

• Design data models for:
• Policy states
• Claim workflows
• Consent tracking
• Ensure the system works across:
• Multiple insurers
• Multiple use cases
• Build a platform-first data layer, not use-case-specific hacks

4. Make deployment and setup simple

• Ensure workflows and data models are:
• Easy to configure
• Easy to launch
• Reduce friction for:
• Product teams
• Deployment teams

5. Create a compounding data advantage

• Build a data layer that:
• Improves with every deployment
• Captures structured signals
• Ensure data becomes a long-term edge, not just storage

6. Own production reliability

• Participate in on-call rotation across 3 engineers
• Ensure:
• Incidents are handled quickly
• Root causes are fixed permanently
• Build systems where reliability is shared, not individual

What success looks like

• Platform scales to 2M+ interactions/month smoothly
• Workflow engine supports complex, dynamic use cases
• Data layer enables fast deployment across accounts
• Edge cases are handled without constant firefighting
• System becomes easier to use as it grows
• Production issues are rare and predictable

Who you are

• You have 2-5 years of backend engineering experience
• You have built:
• Scalable systems
• Distributed services
• You think in:
• Systems
• Data models
• Trade-offs
• You are comfortable owning:
• Architecture
• Production systems

What will make you stand out

• Experience building:
• Workflow engines
• State machines
• Data-heavy platforms
• Strong understanding of:
• System design
• Distributed systems
• Failure handling
• Experience working in:
• High-scale production environments

Why join

• You will build the core backend of an AI platform
• Your work directly impacts:
• Scale
• Reliability
• Product capability
• You will design systems that move from:
• Use-case specific → platform-level infrastructure

What this role is not

• Not just API development
• Not limited to feature-level work
• Not disconnected from production realities

What this role is

• A system architect
• A builder of scalable platforms
• A driver of long-term technical advantage

One question to self-evaluate

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

Job Title: Node.js Developer

Experience: 4+ Years

Salary: Up to ₹12 LPA

Joining: Immediate

Gender Preference: Male candidates only

Requirements:

• Minimum 4 years of hands-on experience in Node.js development.
• Strong understanding of JavaScript (ES6+), RESTful APIs, and asynchronous programming.
• Experience with databases like MongoDB, MySQL, or PostgreSQL.
• Familiarity with Git and version control workflows.
• Strong problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced, collaborative environment.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 2+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle. 
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases.
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Requests, sklearn, Selenium
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good Humor

• A Bachelors or master’s degree in engineering.
• 2-4 years of experience in software product development.
• Excellent in Data structure, Algorithms & Problem-solving skills.
• Should be willing to code in Node.js/Java/Python/ROR/Golang
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Customer-focused, react well to changes, work with teams and able to multi-task.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment

• 3+ years of work experience as a Python Developer. 
• Sound understanding and knowledge of Python and its ecosystem libraries like pandas and numpy. Also be able to write modular code and understand the python packaging system. 

• Experience on web crawling, scraping (Scrapy,BeautifulSoup, Selenium) and web application development using Django/Flask Framework. 
• Experience on Data-Science; exposure to Theanos, Tensorflow, Pytorch (preferable) 
• Exposure to data mining, Pyspark (preferable) 

PLEASE ONLY APPLY FOR THIS JOB IF YOU ARE AN EXPERT IN NODE.JS

Addenda is a Dubai based Insurtech startup that utilises the blockchain to share life/medical/motor insurance information among a consortium of insurers. Our Products helps insurers avoids anti selection, non-disclosure, overexposure, and ensures transparency between the policy applicant and the insurance company.

We are looking for a NodeJS Backend Developer who is energetic, self-directed and self-motivated. You should possess a strong desire to learn and contribute solutions and ideas to a dynamic team.

Responsibilities 

- Development of all server-side logic and ensuring high performance and responsiveness to requests from the front-end. 

- Develop stable and secure RESTful APIs, Microservices, automated tests 

- Build reusable code and libraries for future use 

- Optimise backend for maximum speed and scalability 

- Collaborate with other team members and stakeholders for front-end or otherwise

Skills 

- Proficient understanding of Express.JS, Node.JS, MongoDB 

- In Depth Knowledge of creating Secure RESTful APIs, Web Services or micro services along with caching, content management capabilities 

- Knowledge of API Design and Development and Security Patterns on API’s using various Authentication mechanisms 

- Experience in Cloud Technology for Deployment of Services is a plus 

- Proficient understanding of code versioning tools, such as Git