Senior Software Engineer

Looking to grow your career with a global leader?

Join the Indian unit of a multi-billion dollar German MNC (owned by Schneider Electric) that offers:

·      High Growth: 20% YoY expansion building world-beating software.

·      True Balance: Peak performance with a 4.1 Glassdoor rating for work-life balance.

Apply to the job below!

Job Title: Senior Backend Engineer (.NET Core)

Location: Nashik, India

Employment Type: Full time

Experience: 8+ years

The job  

We are looking for a Senior Backend Engineer (.NET Core) to join our team. This is a hands-on individual contributor role with additional responsibility to guide and mentor backend engineers across senior, mid, and junior levels.

The ideal candidate should have strong experience in .NET Core (8.0+), microservices architecture, API design, and cloud-native development on Azure. The candidate will actively contribute to platform-level backend services, shared components, and integrations across EcoTools and Unify initiatives, while helping establish backend engineering best practices across the team.

Key responsibilities 

- Design, develop, and maintain scalable backend services and APIs using .NET Core (8.0+).

- Build microservices-based backend APIs and tools aligned with EcoTools platform architecture.

- Develop secure and high-performance REST APIs used by micro frontend applications and other services.

- Contribute to backend architecture decisions, including service design, API standards, authentication, and data access patterns.

- Integrate backend services with platform services such as authentication, messaging, logging, and shared Unify components.

- Ensure backend solutions meet non-functional requirements (performance, scalability, reliability, and security).

- Guide and mentor backend engineers through code reviews, design discussions, and architectural best practices.

- Collaborate with frontend engineers, DevOps, and platform teams to ensure seamless system integration.

- Implement unit and integration tests to ensure high code quality and reliability.

- Contribute to CI/CD pipelines, deployment automation, and observability improvements.

- Participate in technical documentation, ADR discussions, and architectural governance reviews.

- Support engineering teams in troubleshooting production issues and improving system stability. 

Essential requirements

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

- 6–9 years of hands-on backend development experience using .NET Core / ASP.NET Core.

- AI Skill Level: Has built or contributed to AI-powered features. Understands prompt, design, evaluation, guardrails, and failure modes.

- Have hands on in spec/skill driven agentic AI development. 

- Strong expertise in REST API design, microservices architecture, and distributed systems.

- Experience working with Azure cloud services (App Services, Azure SQL, Event Hub, Service Bus, or similar).

- Solid understanding of authentication and authorization mechanisms (OAuth2, JWT, OpenID Connect).

- Experience with database technologies such as SQL Server, PostgreSQL, or NoSQL systems.

- Strong knowledge of clean architecture principles, SOLID design patterns, and scalable backend design.

- Experience working in Agile software development environments.

- Strong communication and collaboration skills.

- Strong problem-solving skills, debugging, and performance optimization skills, ownership mindset, and ability to collaborate across teams. 

- Experience working in Agile software development methodologies.

- Ability to manage responsibilities independently and deliver results within deadlines.

Desired skills and competencies

- Experience with distributed application frameworks such as Dapr.

- Exposure to event-driven architectures and messaging systems.

- Familiarity with API Management, gateway patterns, and platform integrations.

- Experience working with large-scale SaaS platforms and micro services architectures.

- Exposure to AI-assisted development tools and modern engineering practices.

Founding Engineer (Bangalore)

The problem:

Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.

What you will own

Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:

• A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
• An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
• A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
• ERP connectors, GST validation logic, and a write-back layer that closes the loop

What we need

• Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
• Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
• LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
• Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
• Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
• You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history

Good to have, not mandatory

• Built an agentic pipeline with multiple stages
• Any fintech, P2P domain experience - even tangential
• Worked at a startup with under 20 people
• Has a GitHub, blog, or writeup that shows how you think about a hard technical problem

What you get

• The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
• Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
• Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
• No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why

Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.

The founders

One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.

Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.

Hiring For SDE II - Python (Remote)

The Impact you will create:

• Build campaign generation services which can send app notifications at a speed of 10 million a minute

• Dashboards to show Real time key performance indicators to clients

• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds

• Building highly available & horizontally scalable platform services for ever growing data

• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability

• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed

• You will build backend services and APIs to create scalable engineering systems.

• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.

• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.

• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.

• Identify and improvise areas of improvement through data insights and research.

Primary Responsibilities

• End-to-end ownership of product development, from design, through implementation, testing, deployment, and maintenance

• Translating high-level requirements and end-user use cases into design proposals, decomposing complex features into smaller, short-term deliverable tasks

• Maintaining constant focus on scalability, performance and robustness of architecture

• Designing and implementing logging, monitoring and alerting systems for existing and new infrastructure

• Documenting API's and architecture design

• Mentor and guide juniors on their path to become solid developers

  
  
  

What we look for?

• 4+ of industry experience in technical leadership roles

• Solid knowledge of Python, SQL, NoSQL, shell scripting and Linux operating environment

• End-to-end experience in design and development of highly scalable enterprise and cloud data products

• Ability to challenge and redefine existing architecture to create robust, scalable and reliable products

• Hands-on experience with design and troubleshooting of scalable web services, queue based systems, distributed databases and streaming services

• Experience with modern DevOps technologies such as kOps, Kubernetes and Docker, CI/CD, monitoring and autoscaling
  
  
  

CTC: up to 40 LPA

Mandatory Criteria (Can't be neglected during screening) :

Need candidates from Growing startups or Product based companies only

1. 4–6 years experience in backend engineering

2. Minimum 2+ years hands-on experience with:

• TypeScript
• Express.js / Nest.js

3. Strong experience with MongoDB (or MySQL / PostgreSQL / DynamoDB)

4. Strong understanding of system design & scalable architecture

5. Hands-on experience in:

• Event-driven architecture / Domain-driven design
• MVC / Microservices

6. Strong in automated testing (especially integration tests)

7. Experience with CI/CD pipelines (GitHub Actions or similar)

8. Experience managing production systems

9. Solid understanding of performance, reliability, observability

10. Cloud experience (AWS preferred; GCP/Azure acceptable)

11. Strong coding standards — Clean Code, code reviews, refactoring

If interested kindly share your updated resume at 82008 31681

• Programming Language: Python (Strong knowledge)
• Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
• Memory Management: Reference Counting, Global Interpreter Lock (GIL)
• Distributed Computing: Dask, Apache Spark (Preferred)
• Data Processing: NumPy
• Inter-Service Communication: GRPC, REST API
• Containerization & Orchestration: Docker, Kubernetes
• Software Development Practices: Code Optimization, Debugging, Performance Tuning
• Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed

Skills And Expertise

• Python, 
• Multithreading, 
• Multiprocessing, 
• Dask, Apache Spark, 
• NumPy, 
• REST API, 
• Docker, 
• Kubernetes, 
• Code Optimization

3 years Minimum Experience Required (Vacancies 5)

Location:- Chandigarh IT Park (WFO)

Shift Timings:- UK Shift

Responsibilities:

• Develop, test, and maintain robust and scalable Python applications.
• Work collaboratively with cross-functional teams to design and implement new features.
• Ensure the performance, quality, and responsiveness of applications.
• Implement server-side logic, database integration, and system architecture.
• Choose and work with one of the following frameworks: Flask, Django, or Fast API.
• Utilize databases such as SQL, Post SQL, or MongoDB to support application development.
• Demonstrate proficiency in Linux or Ubuntu server environments.
• Knowledge of containerization tools, particularly Docker, for deployment and scalability.
• Implement and optimize caching strategies using Redis or Celery (a plus).
• Participate in the planning and implementation of Continuous Integration/Continuous Deployment (CI/CD) processes.
• Stay updated on industry trends and emerging technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Python Developer with 3-5 years of hands-on development.
• In-depth knowledge of at least one of the following frameworks: Flask, Django, or Fast API.
• Strong expertise in databases such as SQL, Post SQL, or MongoDB.
• Familiarity with Linux or Ubuntu server environments.
• Proficiency in containerization tools, particularly Docker.
• Experience with Redis cache or Celery is a strong plus.
• Understanding of CI/CD processes and tools.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to thrive in a fast-paced and dynamic work environment.

• 6+ years of experience with expertise in Django CMS, Python, REST framework, AI framework
• MySQL Db usage, SQL queries
• Experience in using scraping tools.
• Microservices
• Docker and Kubernetes hands-on experience
• AWS Redis cache integration
• Deployment on AWS cloud, auto-scale
• Work will be rotational Shifts/ UK Shift
• Must be flexible to work on weekends/stretch for some hours

We are an IIT Bombay incubated, early stage healthcare start up developing a mobile based Ai technology to help reduce health risks for women during their pregnancy. Our Founders are Harvard and Columbia University alums with extensive experience in digital health in the US and India.

Role: Back end developer ( Python + Flask/Django, Location Mumbai, Marol):

Must have:

• 1-4 years hands on experience in Core Python with preferably Flask framework for complex web and mobile applications. 
• Deployment experience
• Must have experience with Mongodb, MySQL and AWS
• Experience in Redis, Aerospike 
• Good command of API development and deployment ( G Unicorn, Supervisor, Jenkins) Algorithms, system design, OOPS concepts.
• Agility and flexibility to in start up environement with focus on customer, excellent communication skills, and high level of responsibility and responsiveness.
• Project management, scheduling, allocation and delivery.
• Proven experience in agile development, sprint planning and backlog management.

Good to Have:

Experience in Machine Learning, Dialogflow or Rasa for NLP,