Senior Software Engineer, Platform at Terrabase · Remote only · 3 - 15 years · ₹20L - ₹60L / yr (ESOP available) · Bootstrapped · Remote only · Posted 23 Jun 2026

Experience: 5+ years building and operating production-grade Python services.
Location: Remote
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Why This Role Matters
Every insight Terrabase delivers travels through a Python service you will own. Our platform powers real-time agent workflows, multi-connector data pipelines, sandboxed execution, and versioned artifact delivery, all streaming live to enterprise customers. Reliable async workers, low-latency APIs, and precise observability are not nice-to-haves here. They decide whether customers trust the system.
Your mission: keep this engine reliable and scale it as we grow.
What You Will Do
Own the FastAPI platform. Design, extend, and operate the core services powering agent orchestration, connector management, schema resolution, streaming chat, and sandboxed execution. Async handlers, SSE and WebSocket support, Pydantic v2 validation, SQLAlchemy with Alembic migrations against PostgreSQL.
Build and scale async workers. Operate Celery workers backed by Redis and RabbitMQ for schema fetching, task routing, stuck-task detection, and real-time notifications. Understand failure modes at the worker level, not just the API level.
Own the context layer pipeline. Build and operate the ingestion pipeline that processes enterprise documents, extracts and ranks business concepts, and builds the structured knowledge layer that agents reason over. This covers connector integrations, chunking strategies, and the data contracts between upstream sources and the agent layer.
Manage data connections at scale. Build and harden runtime connectors to Snowflake, DuckDB, Databricks, BigQuery, and other warehouse and SaaS sources. Handle encrypted credentials, OAuth flows, and live schema discovery. Make connections stay alive, fail cleanly, and recover fast.
Instrument everything. Own the observability stack: Prometheus and Grafana, structured logging with correlation IDs, OpenTelemetry tracing, health endpoints. P99 latency and error budgets are yours to define and defend.
Ship and operate on AWS. Docker-based deployments, Nginx, Terraform, GitHub Actions CI/CD. Write runbooks and post-mortems anyone can use to debug at 2am. Harden secrets management and SOC 2 logging.
Collaborate across teams. The platform serves LangGraph-based agent workflows and React frontends. Design API contracts that enable sub-second streaming responses and zero-downtime releases.
What We Are Looking For
- 5+ years building and operating production Python services
- Strong bias for ownership: you identify problems, propose fixes, and drive them to closure without supervision
- Deep FastAPI expertise: async handlers, dependency injection, middleware, SSE streaming, WebSocket
- Solid Celery and Redis knowledge: retry logic, task routing, idempotency, worker failure recovery
- Hands-on with Docker, Linux, and AWS deployment
- Experience with Terraform or equivalent infrastructure-as-code tooling
- Production observability mindset: Prometheus, Grafana, structured logging, distributed tracing, alerting
- Proficient with type hints, pytest, and modern Python packaging
- PostgreSQL, SQLAlchemy, and Alembic in production
- Clear communicator: your design docs and PRs show first-principles thinking
Bonus Points
- Experience with Snowflake, DuckDB, or Databricks connector patterns
- Prior work integrating LangGraph or LangChain workflows into a production API layer
- Exposure to document processing pipelines, chunking, retrieval, or knowledge graph construction
- Contributions to open-source backend or infrastructure tooling
- Experience operating under SOC 2 or equivalent compliance requirements
Life at Terrabase
Sharp, fully remote team shipping to enterprise customers weekly. Real ownership, generous cloud budgets, and a culture that prizes reliability over ceremony.
Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

About Terrabase
About
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Role Overview:
We are seeking a backend-focused Software Engineer with deep expertise in REST APIs,
real-time integrations, and cloud-based application services. The ideal candidate will build
scalable backend systems, integrate real-time data flows, and contribute to system design
and documentation. This is a hands-on role working with global teams in a fast-paced, Agile
environment.
Key Responsibilities:
• Design, develop, and maintain REST APIs and backend services using Python, FastAPI,
and SQLAlchemy.
• Build and support real-time integrations using AWS Lambda, API Gateway, and
EventBridge.
• Develop and maintain Operational Data Stores (ODS) for real-time data access.
• Write performant SQL queries and work with dimensional data models in PostgreSQL.
• Contribute to cloud-based application logic and data orchestration.
• Containerize services using Docker and deploy via CI/CD pipelines.
• Implement automated testing using pytest, pydantic, and related tools.
• Collaborate with cross-functional Agile teams using tools like Jira.
• Document technical workflows, APIs, and system integrations with clarity and
consistency.
• Should have experience in team management
Required Skills & Experience:
• 8+ years of backend or integrations engineering experience.
• Expert-level knowledge of REST API development and real-time system design.
• Strong experience with: Python (FastAPI preferred), SQLAlchemy.
• PostgreSQL and advanced SQL.
• AWS Lambda, API Gateway, EventBridge.
• Operational Data Stores (ODS) and distributed system integration.
• Experience with Docker, Git, CI/CD tools, and automated testing frameworks.
• Experience working in Agile environments and collaborating with cross-functional
teams.
• Comfortable producing and maintaining clear technical documentation.
• Working knowledge of React is acceptable but not a focus.
• Hands-on experience working with Databricks or similar data platforms.
Education & Certifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field (required).
• Master’s degree is a plus.
• Certifications in AWS (e.g., Developer Associate, Solutions Architect) or Python
frameworks are highly preferred.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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
Responsibilities
● Architect and build end-to-end backend services and APIs.
● Integrate with external systems such as insurers, payment gateways, and other
partners.
● Ensure high observability, performance, and reliability across systems.
● Write clean, reusable, and maintainable code with a focus on scalability.
● Implement comprehensive test coverage and maintain code quality.
● Manage database design, migrations, scripting, and administration.
Experience & Skills
● 2-8 years of experience in backend development.
● Hands-on experience with low-level & high-level system design.
● Proven experience building scalable, secure backend systems (APIs, middleware, caching).
● Proficiency in Python, Django, Django REST Framework (DRF), PostgreSQL, Redis,
Celery, and basic HTML/CSS.
● Experience developing RESTful APIs.
● Familiarity with AWS or other major cloud platforms is a plus.
● Strong sense of ownership, problem-solving ability, and leadership qualities.
About Juicelabs
Where creative engineering meets applied AI.
We build vertical, AI-native tools that unlock fresh insights and creative superpowers for clients in advertising, ecommerce, and beyond. We're a nimble team of founders and builders obsessed with using AI to solve real problems in ways that didn't exist eighteen months ago.
The Opportunity
A year ago, we would have posted this as a backend role. That role doesn't really exist any more.
Code has become nearly invisible. Agents write it, test it, and iterate on it faster than anyone could read it. What's left is the work above it: deciding what's worth building, designing systems that hold up at 10x, and building the setup that turns a clear spec into working software.
That's the job. At your level, it isn't one system. It's several workstreams, running at once.
You'll work directly with our Cofounder/CTO on products going from zero to one, with AI at the core of both what we build and how we build it. Real ownership, real scope, and an unusual amount of leverage: one engineer with good judgment and a well-tuned agent setup now ships what a small team used to.
What you'll do
- Own multiple workstreams in parallel. Two or three features of the same product moving at once, each with its own scope, edge cases, and failure modes. You decide where your attention goes this week, and nothing goes stale.
- Run a fleet, not a single agent. Design the setup that makes high-throughput work possible: how work gets broken down, specced, and run across many agents at once, so output scales without things breaking.
- Design the system. Service boundaries, data models, failure modes. Make the architectural calls before a line gets generated, and be able to explain the trade-off six months later.
- Write the spec. PRDs and technical designs are the new source code. A vague spec produces confidently wrong software, fast. Scope, edge cases, non-goals, what "done" means.
- Own it end to end. Ideation → design → build → deploy → monitor → iterate, including functional UX. Nobody hands you tickets.
- Set the workflow. Bring your harness: CLAUDE.md, AGENTS.md, subagents, custom commands, eval loops — whatever makes agents reliable rather than merely impressive. We want to steal your good ideas.
What we're looking for
- High agency. You see the gap and close it. You don't wait for direction, and you don't need to be chased for follow-through. This is the single trait we screen hardest for. And you can do it across several workstreams at once, without dropping threads.
- Real system design depth. You can reason about consistency, caching, queues, and scale — and about complexity, because you need to know when an elegant-looking solution is quietly quadratic. LeetCode ninja not required. Being able to explain why this won't blow up at 10x, very much required.
- Clear thinking, put to paper. You get the thinking straight first, then write it down so nobody has to guess: PRDs, design docs, PR comments. Writing is most of how you'll direct both humans and models, and muddy thinking on paper becomes muddy software.
- You've shipped to production. Deployed things, monitored them, been paged by them, fixed them. Docker, CI/CD, cloud infra. Our stack is mostly Python (FastAPI), Postgres, GCP/AWS — but we care more about how you think than which framework you've memorised.
- You orchestrate AI, not just use it. Not "I've tried Copilot," and not just "I use Claude Code." You've run multiple agents in parallel and developed opinions: how to split work so they don't step on each other, where they excel, where they confidently lie, how you structure a repo so they don't wander, and how you verify what comes back at volume.
- Startup energy. Multiple hats, fast cycles, and the judgment to balance "ship it now" against "will this survive contact with real users?"
Experience
3–6 years of professional experience (full-time positions, excluding internships).
Location / How to apply
On-site at our office in HSR Layout, Bangalore.
Apply through this posting, or email us with a link to the best thing you've built.
Key Responsibilities
● Lead the architecture, design, development, and delivery of scalable backend services
using Python.
● Own technical direction and architectural decisions for backend systems and services.
● Design and build robust RESTful APIs, microservices, and distributed systems
capable of handling high-scale workloads.
● Design and implement real-time communication systems, including WebSocket-based
services, where required.
● Drive system performance, scalability, reliability, availability, and security.
● Lead performance optimization, capacity planning, monitoring, debugging, and
production issue resolution.
● Establish and promote best practices around code quality, testing, observability, CI/CD,
and production readiness.
● Collaborate closely with frontend, product, DevOps, infrastructure, and other
cross-functional teams to deliver end-to-end solutions.
● Mentor and provide technical guidance to engineers, contributing to overall team growth
and engineering excellence.
● Review code and architecture designs, identify technical risks, and drive improvements
across backend systems.
● Take ownership of complex technical problems and deliver reliable, maintainable,
production-grade solutions.
Required Skills & Qualifications
● 5+ years of software engineering experience, with significant experience in backend
development.
● Strong expertise in Python and experience building production-grade backend
applications.
● Proven experience designing and developing REST APIs and microservices
architectures.
● Strong understanding of distributed systems, scalability, fault tolerance, and
high-availability architectures.
● Hands-on experience with WebSockets and real-time backend integrations.
● Strong experience with SQL/NoSQL databases, caching systems, and data-intensive
applications.
● Experience with performance optimization, monitoring, logging, debugging, and
production operations.
● Strong understanding of software engineering principles, design patterns, and clean
architecture.
● Proven ability to lead technical initiatives and make sound architectural decisions.
● Strong communication, collaboration, and technical leadership skills.
● Experience mentoring engineers and conducting effective code and design reviews.
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
Job Title: Platform Engineer
Location: Bangalore(Onsite)
Experience Level: 3-8
Salary Range: 20-30LPA
Description:
Join a team building an AI-native enterprise platform that helps businesses make faster, smarter and more consistent operational decisions using AI, enterprise data and workflow automation.
Design and build the core platform for enterprise decision workflows. Develop reusable workflow and decision runtimes. Build scalable, cloud-native distributed systems and event-driven architectures. Design enterprise-grade APIs and platform services. Build integrations with systems such as SAP and Oracle. Develop secure multi-tenant services with authentication and RBAC. Build and manage AWS cloud infrastructure and deployment systems. Implement monitoring and observability for production systems. Support both cloud and on-premise deployments. Enable faster onboarding and deployment of new enterprise workflows.
Requirements:
- Strong hands-on experience with Python
- FastAPI
- PostgreSQL
- Docker
- AWS
- Practical experience with Redis
- Kafka/event streaming
- REST APIs
- CI/CD
- Git
- Good understanding of Kubernetes
- Distributed systems
- Event-driven architecture
- Enterprise SaaS
- Microservices
- Strong backend engineering fundamentals
- Ability to design scalable, reliable and production-ready systems
Senior Software Engineer – Backend
Company: House of EdTech (Goenka Kachave LLP)
Location: Bangalore, Hybrid
Job Type: Full-Time
Experience: 5+ Years
About the Role
House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.
You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.
What You'll Do
- Design and develop scalable backend services and REST APIs.
- Build reliable systems capable of handling high traffic and large data volumes.
- Own backend features from design and development through deployment and monitoring.
- Work with microservices, databases, and distributed systems.
- Identify and solve performance, scalability, reliability, and security challenges.
- Participate in system design and architecture discussions.
- Conduct code reviews and contribute to engineering best practices.
- Mentor junior and mid-level engineers.
- Monitor production systems and troubleshoot incidents.
What We're Looking For
- 5+ years of professional backend development experience.
- Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
- Experience building and operating large-scale distributed systems.
- Strong understanding of REST APIs, microservices, and databases.
- Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
- Strong software engineering fundamentals, including security, reliability, testing, and code quality.
- Experience with system design, architecture, and technical decision-making.
- Strong communication and cross-functional collaboration skills.
- Experience mentoring engineers is a plus.
Why Join House of EdTech?
- Work on products impacting millions of learners.
- Solve challenging backend and scalability problems.
- Take significant ownership of architecture and engineering decisions.
- Opportunity to grow into technical leadership and architectural ownership.
- Work in a fast-growing technology environment.
We are seeking a Senior Full Stack Engineer to join our team in a long-term contractor capacity to continue development of a production-grade platform hosted on AWS.
This application supports policy processing, third-party integrations, compliance workflows, reporting, and intelligent automation capabilities. The ideal candidate is a strong software engineer first, capable of contributing across the full stack while helping scale and evolve the platform.
This role requires someone who can step into an existing system, understand complex workflows quickly, and independently deliver high-quality solutions.
Responsibilities
• Design, develop, and maintain full-stack application features across frontend and backend systems
• Build and support integrations with third-party systems and APIs
• Develop workflow-driven processes using Temporal
• Build scalable APIs and backend services using Python
• Maintain and optimize relational databases using PostgreSQL
• Develop reporting and analytics capabilities using charting libraries
• Contribute to AI-enabled features and integrations within the platform
• Improve CI/CD pipelines and deployment processes
• Participate in architecture discussions and help shape long-term technical direction
• Work closely with business and technical stakeholders to deliver production-ready solutions
Required Qualifications
Engineering
• at least 7+ years of full stack software engineering experience
• Strong proficiency in Python
• Strong frontend development experience with modern web frameworks
• Strong backend API development experience
• Experience designing and building scalable applications
• Strong understanding of software architecture and best practices
• Experience working in complex, integrated systems
Workflow and Orchestration
• Proven experience with Temporal
• Experience building and managing workflow orchestration patterns
• Familiarity with asynchronous processing and event-driven systems
Database and Reporting
• Strong experience with PostgreSQL
• Strong SQL and data modeling experience
• Experience building reporting dashboards and analytics features
• Experience with charting libraries such as Chart.js, D3.js, or Plotly
DevOps
• Experience with CI/CD pipelines
• Familiarity with containerized deployments
• Experience with cloud environments and modern development workflows
Preferred Qualifications
• Experience in insurance, surplus lines, or compliance-based applications
• Experience integrating with third-party vendors and external APIs
• Experience with AI tooling, LLM integrations, and context engineering
• Experience building intelligent automation features
What We Are Looking For
• Self-driven and highly autonomous
• Strong problem-solving ability
• Comfortable with ownership and accountability
• Able to contribute with minimal supervision
• Strong communication skills in English
• Comfortable working U.S.-based business hours
Ideal Candidate
A senior full stack engineer who can quickly contribute to an active production system, own features end-to-end, and help expand a platform that sits at the center of complex business workflows and integrations. Send resume with projects and contact information.
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!












