Quantsapp is India's first Option Trading Analytics platform on mobile. With
ever-growing users,
it makes us one of the fastest growing platform for options trading in India.
Quantsapp wants to accelerate its growth even more and capture new
countries which requires the development team to grow.
At Qauntsapp we are looking for a dynamic team mate to take up a role of
Server side development to support the brain behind the application.
Job Summary :
- You will be responsible for developing new logics / products / features as
described by the business / research team.
- An ideal candidate should be strong in mathematical processes like
optimizations, matrix algebra, differential equation, simulation process etc.
and should also possess decent hands-on experience on python, sql server and
preferably Aws. IIT graduation is a plus.
Responsibilities :
- Create algorithms from scratch
- Create products and backend API's as described by the business team
- Back-test and create hypothesis as desired by the research team
- Code the backend of logics for consumption by the UI team
- Deploy websockets, rest api's & dynamic tcp, udp based data flow
- Deployment and maintenance of codes with version control
Requirements :
- Should possess a good knowledge of advanced computing and mathematical
process
- Strong hands-on on Python and optionally Matlab
- Knowledge of databases like Sql & No Sql
- Ability to work with tight time lines
- In depth knowledge and good hands on experience on Pandas and Numpy
- Knowledge of Option Markets is a plus
- Excellent organizational and multitasking ability
- Experience on AWS Cloud is a plus

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Job Title: Deployment Lead (Python, Linux, AWS)
Location: Coimbatore
Overview
We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments.
Key Responsibilities
- Lead and manage deployment activities for all application releases across development, staging, and production environments.
- Develop and maintain deployment automation, scripts, and tools using Python and shell scripting.
- Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline).
- Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening.
- Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform).
- Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK.
- Collaborate with developers to improve code readiness for deployment and production reliability.
- Manage environment configurations and ensure consistency and version control across environments.
- Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes.
- Establish and enforce best practices for deployment, configuration management, and operational excellence.
Required Skills & Qualifications
- 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles.
- Strong proficiency in Python for automation and tooling.
- Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux).
- Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform).
- Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes.
- Strong understanding of CI/CD tools and automated deployment strategies.
- Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing.
- Expertise with monitoring, alerting, and logging solutions.
- Strong problem-solving and analytical skills; able to lead troubleshooting efforts.
- Excellent communication and leadership abilities.
Job Title: Backend Engineer – Python (AI Backend)
Location: Bangalore, India
Experience: 1–2 Years
Job Description
We are looking for a Backend Engineer with strong Python skills and hands-on exposure to AI-based applications. The candidate will be responsible for developing scalable backend services and supporting AI-powered systems such as LLM integrations, AI agents, and RAG pipelines.
Key Responsibilities
- Develop and maintain backend services using Python (FastAPI preferred)
- Build and manage RESTful APIs for frontend and AI integrations
- Support development of AI-driven features (LLMs, RAG systems, AI agents)
- Design and maintain both monolithic and microservices architectures
- Optimize database performance and backend scalability
- Work with DevOps for Docker-based deployments
Required Skills
- Strong experience in Python backend development
- Hands-on experience with FastAPI / Django / Flask
- Knowledge of REST APIs and microservices
- Experience with AI applications (LLM usage, prompt engineering basics)
- Database knowledge: MongoDB, PostgreSQL or MySQL
- Experience with Docker and basic cloud platforms (AWS/GCP/Azure)
- Hands-on experience with Redis for caching and in-memory storage
Good to Have
- Experience integrating payment gateways (Razorpay, Stripe, PayU, etc.)
- Exposure to event-driven architectures using RabbitMQ, Kafka, or Redis Streams
- Kubernetes
- Understanding of model fine-tuning concepts
- 5+ years of experience
- FlaskAPI, RestAPI development experience
- Proficiency in Python programming.
- Basic knowledge of front-end development.
- Basic knowledge of Data manipulation and analysis libraries
- Code versioning and collaboration. (Git)
- Knowledge for Libraries for extracting data from websites.
- Knowledge of SQL and NoSQL databases
- Familiarity with RESTful APIs
- Familiarity with Cloud (Azure /AWS) technologies
Kognitos is a cutting-edge automation platform that combines the power of Generative AI and Natural
Language Processing (NLP) to provide a conversational and intuitive experience for business users. As a
fully serverless, SaaS automation platform, Kognitos enables users to build, manage, and execute
automations in natural language, with the ability to process and understand domain-specific language.
Kognitos provides a detailed auditable view of its runs, allowing users to gain insights into why an action
happened or what might have gone wrong in case of an exceptional situation. Additionally, Kognitos's
conversational exception handling, powered by Generative AI, allows for quick and easy resolution of
unexpected system errors or business exceptions.
Responsibilities:
- Develop and maintain the backend infrastructure for our applications using Python and AWS Serverless
technologies.
- Collaborate with cross-functional teams to design and implement scalable and robust systems, including
microservices and cloud-based architectures.
- Ensure the reliability, scalability, and performance of the backend systems through monitoring and
optimization.
- Create and maintain database schema and queries to support the application features.
- Write unit and integration tests for the backend code and ensure code quality through code reviews.
- Continuously improve the software development process by incorporating best practices and modern
software development methodologies, such as Agile, DevOps, and CI/CD.
- Investigate and troubleshoot production issues and provide timely solutions to minimize downtime and
ensure smooth operations.
- Participate in architectural discussions and contribute to the development of technical solutions and best
practices.
- Stay up to date with the latest technologies and trends in software development and recommend
improvements to the technology stack to increase efficiency and scalability.
- Work in a fast-paced, collaborative environment with a focus on delivering high-quality software that
meets customer needs.
Required Experience/Skills:
- B.S. or higher degree in Computer Science/Engineering or similar field or equivalent work experience
- 4-20 years of industry experience (or equivalent)
- Proficient in Python programming language
- Experience with modern software development practices and methodologies, including Agile, DevOps,
and Continuous Integration/Continuous Delivery (CI/CD).
- Experience with large-scale distributed systems, microservices, and cloud-based architectures.
- Strong understanding of software design patterns, algorithms, data structures, and database technologies.
- A natural problem solver, with the ability to identify problems and lead the development of a solution.
Skills:
- Expertise in Python 3 on AWS serverless
- Experience in AWS serverless stack Appsync, Lambda, Cognito, API Gateway, DynamoDB, Elasticsearch, SQS, S3, Code commit & Code Deploy.
- Proficient in modern microservice-based architectures and methodologies.
- Experience in a database technology, preferably No-SQL such as AWS DynamoDB.
- Build human-centric UX with us using technologies like React, TypeScript, GraphQL, and CSS-in-JS.
- Experience building data processing pipelines (SQS, Kinesis, DynamoDB, AWS Lambda, or similar)
- Deep technical hands-on experience developing in REST/JSON or SOAP/XML, combined with strong knowledge of concepts such as CORs (Cross Origins Resources), headers, security, JSON and http concept.
- Experience with Github and advanced Github features (good to have).
- Must have worked as a part of Agile Teams and DevOps practices such as continuous Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
- 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
- Participate in brainstorming and technical ideation for projects with product, growth, and engineering
- You will design Scalable and Fault-Tolerant systems
- You will help Maintain critical and auxiliary systems (databases, cache ...)
- You will build Experiments that help validate hypotheses for the product
Experience:
2+yrs In your first 3 months, you will…
- Successfully onboard and create strong bonds with the current team
- Participate in brainstorming and technical ideation for projects with product, growth, and engineering
- Contribute to existing product features and experimentation
In your first 6 months, you will…
- Develop prototypes of new features or products using rapid iteration and experimentation as we explore new ideas
- Partner across the engineering team to ship features
In your first year, you will...
- Champion best-in-class engineering practices and systems for an emerging engineer team
- Help build a suite of features for the product
Our Ideal Hire:
- Learned best practices and has experienced the challenges and joys working at a startup
- Managed and maintained production code at increasing scales
- Feels strongly motivated by our mission
- Communicates complex problems and proposes solutions, in writing and in conversation
Expertise:
- Proficiency in any one language (ex: NodeJS / Go / Python)
- MySQL (design / indices / optimizing queries)
- Redis (types/ functionality/ use cases)
Hands-on experience:
- Handled scaling issue
- Good at debugging
Good to have:
- Kafka (or other stream-processing software)
- AWS
Do not apply if you are not:
- Ownership driven
- Curious in general
- Able to explain things in simple terms
- Self-motivated
- Use to work in the chaotic environment
- Highly proactive
- Willing to Mentor and humble to ask for collaboration
- Most important, Learn & Grow yourself!
- Hungry to grow anymore
About Strata
Strata is a commercial real estate investment platform that offers investors the opportunity to invest in pre-leased commercial assets such as offices, warehouses, and retail spaces across India.
We are one of the fastest-growing Fintech platforms in India and are backed by Elevation Capital, Mayfield, Kotak Investment Advisors, Gruhas (a venture by Nikhil Kamath of Zerodha), and DLF Family Office.
Our headquarter is in Bangalore, India.
We are a small yet close-knit team of 35+ people.
Job Description
- Collaborate with a team of engineers and managers to create applications used by our Investors, Channel Partners and Operations Team
- Write clean, self-documenting code that follows best practices and design patterns
- Provide creative ideas to improve our product and technology
- Think beyond the specifics of a ticket in order to delight customers or grow the business
- Be a self-starter that can, at times, take initiative and execute on projects with little direction
Minimum qualifications
- 3-5 years of experience
- Expert in Python with knowledge on at least one industry standard framework like Django, Flask, etc.
- Solid knowledge of developing backend applications
- Have a strong demonstrated ability to ship high-quality products
- Self-motivated, collaborative, and diligent work ethic
- Experience using Docker and cloud technologies such as Amazon Web Services (AWS)
- Database design skills









