Senior Backend / AI Systems Engineer, Automated Equity Research at Lotus1 Ltd · Remote only · 3 - 6 years · ₹13L - ₹18L / yr · Profitable · Remote only · Posted 13 Feb 2026

Job Description
We are building an institutional-grade, fully automated equity research and decision-support system for Indian equities (NSE/BSE).
This is a backend-first, audit-grade system designed to function like an automated Investment Committee.
This is NOT:
- A trading bot
- A dashboard project
- A scraping tool
- A basic ML demo
It is a production-grade automation platform with strict data integrity and governance.
Core Responsibilities
- Design and implement automated ingestion of official NSE/BSE filings and authorized data sources
- Build PDF download, hashing (SHA256), deduplication, and versioning pipelines
- Implement deterministic BUY / HOLD / SELL rule engines in Python
- Enforce evidence validation before any AI/LLM processing
- Build audit logs, provenance tracking, and replayable pipelines
- Develop fault-tolerant scheduling, retries, and monitoring
- Ensure zero manual data handling
Technical Stack
- Python (primary)
- PostgreSQL
- REST / Authorized APIs
- Automated schedulers
- LLM parsing tools (e.g., LlamaParse or equivalent)
- Cloud deployment (AWS/GCP preferred)
Requirements
- 6+ years of backend / systems engineering experience
- Strong experience in building automated data pipelines
- Experience with financial / regulatory / compliance systems preferred
- Proven ability to deliver production-grade systems
- Comfortable working independently or leading a small team
Evaluation Process
Shortlisted candidates will be required to complete a paid Proof-of-Concept phase before long-term engagement.
This is a long-term opportunity for engineers who want to build serious, defensible financial infrastructure.

About Lotus1 Ltd
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About PortOne
PortOne is building the reconciliation and data intelligence layer for payments across Korea and international markets. We are a Series B startup backed by Softbank and Hanwa Capital, powering multi-billion dollars in annualised settlement volume for 2,000+ merchants across Korea, Thailand, Singapore, Indonesia, and beyond.
We are building AI-native products for leading brands — intelligent automation layers on top of complex financial data pipelines. If you want to work at the intersection of fintech, data engineering, and applied AI, this is your role.
Culture and Values
* You will be joining a team that stands for making a difference.
* You will be joining a culture that identifies more with Sports Teams rather than a 9 to 5 workplace.
* Your will have peers who are/have
** Highly Self Driven with A sense of purpose
** High Energy Levels - Building stuff is your sport
** Ownership - Solve customer problems end to end - Customer is your Boss
** Hunger to learn - Highly motivated to keep developing new tech skill sets
Your Work Ethic
* You are an athlete and building apps is your sport.
* Your passion drives you to learn and build stuff and not because your manager tells you to.
* You obsess over correctness — a bug in a settlement figure or a silent data drop is not acceptable to you.
* You have an eye for detail that most engineers skip past, and you take pride in getting it exactly right.
* Your work ethic is that of an athlete preparing for your next marathon. Your sport drives you and you like being in the zone.
* You are NOT a clockwatcher renting out your time, and NOT have an attitude of "I will do only what is asked for"
What will you do?
- Build and maintain financial data ingestion pipelines that pull settlement and transaction data from marketplace platforms (Amazon, Shopee, TikTok, Qoo10, Rakuten) on behalf of large brands operating across multiple Asian markets.
- Own reconciliation workflows end-to-end — from raw marketplace data to verified, merchant-ready settlement reports — ensuring every figure is correct and every discrepancy is surfaced, not swallowed.
- Design and implement AI-native features that automate financial analysis: agentic triage of settlement mismatches, root-cause detection across large transaction volumes, and intelligent alerting for ops and merchant teams.
- Instrument data quality and health monitoring so that silent failures — missing records, schema shifts, delayed ingestion — are caught before they reach the merchant.
- Build APIs and tooling that enable PortOne's ops and merchant success teams to investigate, verify, and close financial discrepancies faster and with more confidence.
- Expand platform coverage by integrating new marketplaces and new report types, working closely with data formats that are often inconsistent, undocumented, or changing without notice.
- Uphold rigorous engineering standards — correctness in financial data is not negotiable, and you treat edge cases and off-by-one errors with the same seriousness as a production incident.
- Uphold high engineering standards across codebases and processes.
- Collaborate with product, design, infrastructure, and operations stakeholders.
Skills and Experience
* Have ideally 2 to 4 Years of experience shipping high quality products/live features and workflows
* Strong backend engineering foundation — Go (Preferred), Python, or equivalent; REST/gRPC APIs; database design.
* Understands how to build scalable, resilient, and observable distributed systems.
* Must have built data flows and applications end to end taking full ownership
Preferred Skills and Background
*Prior experience/built apps in golang backend
*Data and data engineering background — comfortable with data pipelines, ETL/ELT patterns, event-driven architectures, reconciliation logic, or analytical workloads.
*AI-native development — you build products where AI is a first-class component, not a bolt-on.
*AI agentic development — experience building or working with agent frameworks, tool-use patterns, LLM orchestration, or automated reasoning pipelines.
We’re building financial data systems that power real business decisions — and we need someone who knows how to make Django, PostgreSQL, Celery, and APIs play nicely at scale.
You know what clean, reliable backend systems look like — because you’ve built them. You’ve handled authentication quirks, rate limits, and webhooks; you build code that’s maintainable, performant, and correct.
If you’re curious about financial data, transactions, and KPIs, and enjoy turning numbers into insight, this role is for you. (Experience with banking or accounting APIs is a big plus.)
What You’ll Do
- Build and maintain Django-based systems using Celery for async and scheduled tasks
- Integrate and manage data from multiple APIs (banking, accounting, analytics, etc.)
- Design and optimize internal APIs
- Improve reliability, scalability, and performance
- Collaborate closely with product and frontend engineers
Your Profile
You’re an experienced backend engineer who is strong in all core areas of modern Python development:
- Python, Django, Django REST Framework
- Celery and asynchronous / distributed task handling
- PostgreSQL and robust data modeling
- Docker and containerized deployment workflows
- Unit testing (pytest or equivalent) and maintainable test structures
- Git, CI/CD, and reliable deployment automation
- API integrations (REST, OAuth, webhooks)
- Caching strategies & background job handling (preferred Redis experience)
- Solid understanding of security, permissions, and performance optimization
You’ve already built or scaled production-grade systems and can take ownership from architecture to deployment.
Experience with fintech or data integration systems is an advantage.
How We Work
We’re a small, remote-first team that values ownership over micromanagement.
You’ll have freedom in how you work — what matters is your impact.
Our daily language is English.
About finban
We’re building a platform that helps businesses understand and manage their financial performance in real time by connecting and analyzing data from banking, accounting, and analytics systems.
If you’ve built or scaled production Django systems before and love clean architecture — we’d love to see your work.
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About CK-12 Foundation
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To achieve this noble and ambitious vision, we at CK-12 are challenging the traditional model of education to transform it dramatically. Technology has opened up lots of opportunities to revolutionize education for the benefit of students, teachers and parents.
We have chosen to be non-profit so that we can effectively realize our mission and do the right thing! It also provides us with the ability to experiment with big and bold ideas. CK-12 is backed by Vinod Khosla, a renowned technology venture capitalist.
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Technology is key to scale education and we deeply believe in it. Come develop great solutions on our cloud-based (AWS) and AI-first platform delivering rich and interactive content.
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Backend Engineer
Basic
● Design, maintain, and monitor infrastructure for data products
● Design and develop RESTful APIs for the data infrastructure
● Design, implement and drive adoption of new analytic technologies and solutions
● Work closely with data scientists, front end engineers and peers to gather requirements and
develop solutions
● Handle and resolve issues escalated from the production operational environment.
● Troubleshoot performance, reliability, and scalability issues.
● Excellent Problem solving skills
● A Code Craftsman that follows best software development and coding practices delivering
understandable and maintainable code with thorough unit tests coverage
Requirements
● 10+ years of development experience with Java, Scala, and/or Python
● Experience with writing and executing queries on RDBMS and NoSQL databases. Working knowledge of MongoDB, MySQL. We are not looking for a DBA.
● Experience with ElasticSearch, OpenSearch, Vector Embeddings, and large-scale search systems.
● Experience designing and operating high-throughput, low-latency backend services in production environments.
● Experience with horizontal and vertical scaling strategies, load balancing, caching, rate
limiting, and performance optimization.
● Experience identifying and resolving application bottlenecks through profiling, monitoring, and performance tuning.
● Experience in virtualization technologies and deployment frameworks (familiarity with working on UNIX shell, Jenkins.)
● Bachelors or masters degree in computer science or equivalent
Desired
● Experience working with FastAPI/Pylons Web Framework.
● Familiarity with messaging and distributed processing systems such as RabbitMQ, Kafka, SQS, or Celery.
● Experience designing systems to support millions of requests, large datasets, and high-concurrency workloads.
● Adept at AI Coding assistants, leveraging them beyond prompting. Working experience in Skill and tool development and usage in AI Coding tools.
● Experience with AWS EC2, Redshift, RDS, S3
Job Description
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, SQL, CI/CD, and DevOps to design, develop, and maintain scalable data pipelines and data processing solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Develop data processing solutions using Python.
- Write complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain data ingestion and integration workflows.
- Implement data quality, validation, monitoring, and error-handling processes.
- Develop and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
- Collaborate with data analysts, data scientists, software engineers, and business teams.
- Optimize data pipelines for performance, reliability, and scalability.
- Troubleshoot production data issues and ensure timely resolution.
- Follow best practices for version control, code quality, testing, and deployment.
Mandatory Skills
- Python
- ETL
- SQL
- CI/CD
- DevOps
- Git / Version Control
- Strong problem-solving and debugging skills
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 5+ years of professional data engineering experience.
- Experience designing and building cloud-native data solutions.
- Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
- Strong SQL and Python programming skills.
- Experience with PostgreSQL or other relational databases.
- Experience orchestrating workflows using Apache Airflow or Cloud Composer.
- Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
- Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.
Preferred Qualifications
- Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
- Experience building multi-tenant SaaS platforms.
- Experience implementing metadata-driven governance, lineage, and data quality frameworks.
- Experience supporting AI, machine learning, or customer-facing analytics platforms.
- Experience with Kubernetes and Docker.
Data Engineer Short Hiring Post
🚨 Hiring: Data Engineer
🔹 Experience: 5–9 Years
🔹 Location: Bangalore / Hyderabad
🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling
🔹 Process: L1 Virtual → L2 F2F Karat Test
🔹 F2F: Bangalore / Hyderabad Location
🔹 Positions: Immediate requirement
⚠️ Note: Candidates must be available for F2F Karat immediately after L1.
#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners
About VerbaFlo.ai
VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.
Role Overview
We are looking for a Senior Backend Engineer to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.
Responsibilities
- Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
- Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
- Ensure the reliability, security, and performance of backend systems.
- Write clean, maintainable, and efficient code using modern backend practices.
- Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
- Own the end-to-end lifecycle of backend features, from architecture to deployment.
- Monitor production systems and resolve performance and scalability issues.
- Contribute to architectural decisions and help evolve our engineering best practices.
Requirements
- 4–6 years of experience in backend development in startups, preferably in SaaS or AI-driven products.
- Proficiency in Node.js, Python, or Go
- Deep understanding of RESTful API design.
- Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
- Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
- Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
- Experience with Git, CI/CD tools, and writing unit/integration tests.
- Strong problem-solving skills and a mindset geared toward performance and security.
- Excellent communication and collaboration abilities.
Why Join Us?
- Work directly with top leadership in a high-impact role.
- Be part of an innovative and fast-growing AI startup.
- Opportunity to take ownership of key projects and drive efficiency.
- A collaborative, ambitious, and fast-paced work environment.
- Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!
Job Summary
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.
Key Responsibilities
- Design, develop, and maintain ETL/ELT data pipelines.
- Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
- Develop automation scripts using Python for data processing and workflow optimization.
- Work with Linux environments for deployment, monitoring, and troubleshooting.
- Ensure data quality, integrity, and reliability across data platforms.
- Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
- Implement best practices for data security, governance, and documentation.
Required Skills
- Strong experience in Data Engineering concepts and ETL/ELT processes.
- Proficiency in SQL, including query optimization and database design.
- Strong programming skills in Python.
- Hands-on experience with Linux commands, shell scripting, and system administration basics.
- Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Familiarity with Git/version control.
- Strong analytical and problem-solving skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
- Experience with data warehousing solutions and big data technologies.
- Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Relevant certifications in cloud or data engineering are an added advantage.
Sr Backend Developer (Full Stack – Python / Django)
Preference: Please apply only if you are an IIT/NIT graduate and have strong hands-on experience in full-stack development with Python & Django.
Insurance/InsurTech experience is preferred. Strong engineering fundamentals and a willingness to learn the domain are more important.
Office location – Bangalore
Work mode – Onsite
Working Days – 5 days a week
Budget - 12-15 LPA
Work Experience - 2-5 years
Role Summary
We’re hiring Sr Backend Developers with strong full-stack Django expertise to own backend workstreams end-to-end and contribute to frontend development when needed. Hands-on Python/Django experience is essential.
(HTML, JavaScript, jQuery, CSS).
Key Responsibilities
Design, build, and maintain scalable backend services and APIs for Fuse-OS
Own medium-to-complex workstreams end-to-end: data models, APIs, background jobs, and light UI
wiring
Improve reliability, performance, observability, and maintainability of production systems
Apply sound engineering practices for multi-tenant SaaS (security, permissions, data isolation)
Collaborate closely with frontend, QA, and product/delivery to ship high-quality releases
Mentor other backend engineers through design discussions, pairing, and code reviews
Participate in architecture discussions and help evolve platform technical standards
Support production troubleshooting and continuous improvement of engineering quality
Required Skills & Qualifications
Solid experience with Django REST Framework, asynchronous job processing (e.g., Celery), Redis, and
PostgreSQL
Proven ability to design data models, write migrations, and ship maintainable APIs
Full-stack capability: HTML, JavaScript, jQuery, and CSS sufficient to complete UI wiring without blocking
frontend
Strong debugging skills across application, database, and background-job layers
Experience collaborating in Agile teams with clear quality standards and delivery cadence
Preferred / Nice to Have
Hands-on Selenium automation experience with Python (big plus)
AWS familiarity (compute, storage, messaging, monitoring, IAM basics) — optional but strongly preferred
Experience with multi-tenant architectures, containers, and production SaaS operations
Exposure to document/data processing pipelines, reconciliation-style systems, or enterprise integrations
Awareness of application security, RBAC, auditability, and privacy-by-design practices
Interest in AI-assisted product workflows and intelligent automation
What We Offer
Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)
Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring
Collaborative product and engineering culture focused on quality and customer outcomes
Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems
Job Overview
Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
- Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
- Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
- Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
- Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
- Ensure system reliability, security, and low-latency performance for mission-critical systems
- Lead technical design discussions, conduct code reviews, and mentor junior engineers
- Optimize database queries, implement caching strategies, and improve overall system performance
- Collaborate with cross-functional teams to deliver end-to-end product features
- Implement monitoring, logging, and observability solutions
Required Skills and Qualifications
- 2+ years of professional backend development experience
- Strong expertise in NodeJS and Python for production-grade applications
- Proven experience building RESTful APIs and microservices architectures
- Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
- Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
- Strong proficiency in PostgreSQL, including query optimization and schema design
- Hands-on experience with RabbitMQ and Kafka
- Experience with BigQuery or similar data warehousing solutions
- Solid understanding of distributed systems, scalability patterns, and high-traffic applications
- Strong knowledge of authentication, authorization, and security best practices
- Experience with Git, CI/CD pipelines, and modern development workflows
- Excellent problem-solving and debugging skills
- Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus
Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351






