Backend Engineer
at A network security company located at Mumbai
● Constant benchmarking for capacity and performance
● Documenting feature capability in detail
● Supporting marketing initiatives on the product / differentiators
● Test scenarios for faults / bugs
● On-call (only emergency - L4) support to customer issues
● Building best practices for customer scenarios
Who we are looking for
● Understand the larger picture and work for customer success
● Passionate to solve problems
● Understand the product life cycle

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Role Overview:
We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology
foundation for our Support Excellence function. This role sits at the intersection of engineering,
product, and operations ensuring that our internal teams and, eventually, our end users
experience seamless, efficient, and data-driven support.
You will lead a small but high-impact team of engineers, own the support tooling roadmap, and
implement solutions that handle ticket triage, data quality issues, automation, and integrations
with our healthcare SaaS platform.
This is a hands-on technical leadership role ideal for someone who thrives on solving
operational challenges through technology, building frameworks from scratch, and enabling
customer-facing and internal support teams to scale effectively.
Key Responsibilities
1. Build & Enhance Support Platform:
● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,
knowledge bases, and automation bots.
● Design and implement scalable support frameworks, ensuring fast triage, data-driven
escalation, and high-quality resolution.
● Integrate support tooling with product backend, CMS, and analytics systems to enable
context-aware assistance.
2. Technical Leadership & Delivery:
● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,
and coding standards.
● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,
maintainable solutions.
● Partner closely with Program Managers and Business Analysts to translate requirements
into technical execution.
3. Automation, Data & AI-Driven Support:
● Implement automation workflows (bots, routing, notifications) to reduce manual load and
optimize SLA adherence.
● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive
resolution.
● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).
● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.
● Restore transparency and speed between business stakeholders and tech teams.
4. Cross-functional Collaboration:
● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured
early in the roadmap.
● Serve as the engineering voice in discussions on escalation flows, release readiness, and
customer-facing support enablement.
● Collaborate with content and ops teams to power self-service experiences (knowledge
bases, FAQs, in-app help).
5. Documentation & Knowledge Management:
● Maintain technical documentation for support tooling, workflows, and integrations.
● Contribute to knowledge bases (internal + external) alongside ops and content teams.
● Foster a documentation-first culture to enable faster onboarding and smoother
collaboration.
What We’re Looking For
Must-Have
● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead
role.
● Proven track record in building internal platforms, support tools, or automation systems.
● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration
experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira
Service Management).
● Experience leading small teams and owning delivery from design → build → release.
● Excellent problem-solving skills with a bias for execution in fast-paced environments.
Nice to Have
● Exposure to SaaS or healthcare platforms with multi-tenant architecture.
● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).
● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).
● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).
Job Title: Lead Backend Developer
Location: Bengaluru, India
iAI Solution Pvt Ltd (https://iaisolution.com/),operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.
Position Summary:
- We are looking for a Lead Backend Developer with 4+ years of professional experience in Python-based development, especially using FastAPI and MongoDB. The ideal candidate is skilled in building and maintaining scalable, high-performance back-end services and APIs, has strong understanding of modern database design (SQL & NoSQL), and has experience integrating backend services with cloud platforms.
- Experience or interest in AI/ML projects is a strong plus, as our products often interface with LLMs and real-time AI pipelines.
- Key Responsibilities:
- Design, build, and maintain robust backend services using Python and FastAPI.
- Develop and maintain scalable RESTful APIs for internal tools and third-party integrations.
- Work with MongoDB, PostgreSQL, and Redis to manage structured and unstructured data efficiently.
- Collaborate with frontend, DevOps, and AI/ML teams to deliver secure and performant backend infrastructure.
- Implement best practices in code architecture, performance optimization, logging, and monitoring.
- Ensure APIs and systems are production-ready, fault-tolerant, and scalable.
- Handle API versioning, documentation (Swagger/OpenAPI), and error management.
- Optimize queries, indexes, and DB schema for high-performance data access.
- Maintain clean code with emphasis on object-oriented principles and modular design.
- Troubleshoot production issues and deliver timely fixes and improvements.
Qualifications:
- Overall Experience: 4+ years in backend software development.
- Python: Strong proficiency with object-oriented programming.
- Frameworks: Hands-on experience with FastAPI (preferred), Django.
Databases:
- MongoDB: Experience with schema design, aggregation pipelines, and indexing.
- Familiarity with SQL databases (PostgreSQL/MySQL).
- Experience with Redis and optionally Supabase.
API Development:
- Proficient in building and documenting REST APIs.
- Strong understanding of HTTP, request lifecycles, and API security.
Testing & Debugging:
- Strong debugging and troubleshooting skills using logs and tools.
Performance & Scalability:
- Experience optimizing backend systems for latency, throughput, and reliability.
Tools:
Git, Docker, Linux commands for development environments.
Must-Have Skills:
- Proficiency in Python and object-oriented programming
- Strong hands-on experience with FastAPI (or similar async frameworks)
- Knowledge of MongoDB for schema-less data storage and complex queries
- Experience building and managing REST APIs in production
- Comfortable working with Redis, PostgreSQL, or other data stores
- Experience with Dockerized environments and Git workflows
- Solid grasp of backend architecture, asynchronous programming, and performance tuning
- Ability to write clean, testable, and maintainable code
Good-to-Have Skills:
- Experience with asynchronous programming using async/await
- Integration with third-party APIs (e.g., Firebase, GCP, Azure services)
- Basic understanding of WebSocket and real-time backend patterns
- Exposure to AI/ML pipelines, model APIs, or vector DBs (e.g., FAISS)
- Basic DevOps exposure: GitHub Actions, Docker Compose, Nginx
- Familiarity with JWT, OAuth2, and backend security practices
- Familiarity with CI/CD pipelines and versioning
- Basic understanding of GraphQL or gRPC is a plus
Preferred Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Demonstrated experience delivering production-grade backend services
- Experience working in agile teams and using tools like Jira
- Familiarity with Agile/Scrum methodologies and sprint cycles
- Interest or experience in AI/ML-integrated systems is a plus
Perks & Benefits:
- Competitive salary with performance-based bonuses
- Opportunity to work on AI-integrated platforms and intelligent products
- Access to latest tools, cloud platforms, and learning resources
- Flexible working hours and hybrid work options
- Wellness initiatives and team-building activities
Integration Lead
Job Description
This role must be capable of building Dot net application and integration capabilities to enable microservice architecture. In addition to being hands on developer, the role requires the individual to leading and work with Dot net developers and integration developers, overseeing the end to end technical working to deliver features. Candidates who like to experiment and learn/discover new technologies, methods, tools with a direction to bring new capabilities to the product will be suitable
Key Responsibilities
- Perform Product Discovery proof of concepts as directed by Product manager
- Design, develop, and maintain both new and existing code, ranging from client-side development using JavaScript, HTML, and CSS, to server-side code using C# and ASP.NET MVC, Web API, Windows services, and ADO.NET for data persistence and retrieval.
- Write readable, extensible, testable code, while being mindful of performance requirements. • Create, maintain, and run unit tests for both new and existing code, with a goal of delivering defect-free and well-tested code to QA.
- Capable of developing restful services using Dot net framework and other integration tools
- Work with management to create and adhere to schedules, while maintaining flexibility to adapt to shifting market demands.
- Translate mockups and wireframes into functioning front-end code.
- Write and maintain documentation for new and existing features.
- Keep up-to-date on best practices and new technologies.
- Rapid prototyping, and presenting conceptual design and working prototypes to management.
- Conduct design and code reviews and collaborate to ensure your own code passes review.
- Work with Product Management to analyze require
Required Skills & Experience
- Experience in Dot Net framework preferably in cloud based platforms/infrastructure
- Experience in integration enablement preferably in REST APIs
- Experience in Database languages and stored procedures, database query optimization
- Experimental knowledge in a broad technical aspects like SSO (SAML2/Oauth2), Security, RPA, Microservices architecture
Qualifications
BE with 6+ years of experience in product development
Mandatory Criteria
- Strong knowledge of React Native fundamentals — components, hooks, navigation, and state management.
- Ability to build iOS and Android apps from the same codebase.
- Experience with Expo SDK for building, testing, and deploying apps.
- Familiar with Expo’s managed vs. bare workflow, push notifications, deep linking, and app store deployments.
- Understanding of mobile app performance optimization and experience integrating with REST/GraphQL APIs.
- Proficiency in local storage, offline sync, and permissions handling.
- Ability to implement pixel-perfect UI from Figma/Sketch with cross-device responsiveness.
- Hands-on experience with Git/GitHub workflows, CI/CD tools (Expo EAS, Fastlane), and testing frameworks (Jest, Detox).
- Comfort using VS Code, debugging tools, and running Docker, emulators, or local test servers without lag.
If interested kindly share your updated resume on 82008 31681
You will be working hands-on on a complex and compound product that has the potential to be used by millions of sales and marketing people around the world. Your contribution to delivering an excellent product platform that:
- enables quick iteration
- supports product customization
- and handles scale
What do we expect you to have?
- 2+ years of experience in backend engineering
- An intent to learn and an urge to build a product by learning different technologies
- Interest in writing complex, scalable, and maintainable backend applications
- Tech stack requirements:
Must haves
- Experience in building application server in Java (Spring / Spring boot) / NodeJS / Golang / Python
- Experience in using SQL databases and designing schemas based on application need
- Experience with container services and runtimes (docker / docker-compose / k8s)
- Experience with cloud paas (AWS / GCP / Azure cloud)
- Experience and familiarity with microservices’ concepts
- Experience with bash scripting
Good to have (Preferred)
- Preferred experience with org wide message queue (rabbitmq / aws sqs)
- Preferred experience with task orchestration services (apache airflow / aws step function)
- Preferred experience with infra as code (or system configuration) tools (terraform / chef / ansible)
- Preferred experience with build essential tools (make / makefile)
- Preferred experience with monitoring and tracing systems for performance / system / application monitoring (grafana + loki + prometheus / aws cloudwatch)
What will you learn?
- Building highly available, complex, compound, performant systems of microservices platform that acts as an API layer
- Industry-standard state-of-the-art tools + methodologies + frameworks + infra for building a product.
- Fable is not a trivial CRUD app. It requires a lot of consideration and care for building the API layer as the product is highly customizable per user.
- How different functions (sales, marketing, product, engineering) in a high-velocity product company work in synergy to deliver an iterative product in real life.
Who would you be working with?
- You would be directly working with the co-founder & CTO who has built multiple companies before and has built large teams in large-scale companies like ThoughtSpot, Unacademy, etc.
Position details
- Fully remote.
- 5 days/week (all public and government holidays will be non-working days).
- No specific work hours (we will sync over zoom over the course of the day).
Key Responsibilities:
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 2 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large scale social or location-based app.
* Optimize components for maximum performance across multiple devices and browsers
* Write performant REST APIs for both internal and external consumption
* Build micro services and their deployment process
* Work with problems of scale, leveraging technologies that are distributed in nature.
* Perform code reviews
- Excellent analytical and problem-solving skills
- Exposure in Python and backend development
Requirements:
- 3 -7 years of software development experience.
- Good grasp on programming fundamentals including OOP, Design Patterns and Data Structures.
- Excellent analytical, logical and problem-solving skills.
- Software Development Engineer.
- Good understanding of complexities involved in designing/developing large scale systems.
- Strong system design skills.
- Experience in technologies like Elasticsearch, Redis, Kafka etc.
- Good knowledge of relational and NoSQL databases.
- Familiarity with common machine learning algorithms. In-depth knowledge is a plus.
- Experience of working with big data technologies like Hadoop, Spark, Hive is a big plus.
- Ability to understand business requirements and take ownership of the work.
- Exhibit passion and enthusiasm for building and maintaining large scale platforms.









