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Experience: 5+ years building and operating production-grade Python services.
Location: Remote
To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag8eyxvIdQ5YQCku/form
We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.
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.
Strong Software Engineer, Engineering Manager Profiles
Mandatory (Experience) – Must have minimum 4+ years of hands on experience in software development
Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in backend development using Java / Node.js / Go / Python (any 1) OR 3+ YOE in frontend Development using React / Angular / Vue (any 1)
Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.
Mandatory (Tech Skills) – Must have a solid understanding of microservices architecture, APIs, and cloud platforms (AWS / GCP / Azure).
Mandatory (DevOps Skillset) – Must have hands-on experience working with Docker, Kubernetes, and CI/CD pipelines.
Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)
Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)
Mandatory (Note): No hire policy from Sprinklr
Python Developer
Location: Hyderabad (Apple Office)
Experience: 8+ years (Retail / E-commerce preferred)
Budget- 1.9 lpm + GST
Contract: 1 Year + Extendable
Job Responsibilities / Requirements:
- 8+ years of proven experience, preferably in retail or e-commerce environments.
- Strong expertise in Python development.
- Excellent communication skills with the ability to collaborate across multiple teams.
- Hands-on experience with Container & Orchestration: Kubernetes, Docker.
- Expertise in Infrastructure Automation via Kubernetes YAML configurations.
- Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
- Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
- Experience with Monitoring & Logging: Splunk, Grafana.
- Immediate Joiners Preferred – Urgent Support Required.
We are looking Python intern/developer role. We are looking for candidates who are strong in core Python skills, able to work independently, and strong in developing logic.
The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.
Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.
Actively participates with other consultants in problem-solving and approach development.
Responsibilities :
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
Perform data analysis to validate data models and to confirm the ability to meet business needs.
Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.
Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.
Coordinate with Data Architects, Program Managers and participate in recurring meetings.
Help and mentor team members to understand the data model and subject areas.
Ensure that the team adheres to best practices and guidelines.
Requirements :
- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.
- Experience with Spark optimization/tuning/resource allocations
- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.
- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).
- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.
- Have a deep understanding of the various stacks and components of the Big Data ecosystem.
- Hands-on experience with Python is a huge plus
POST - SENIOR DATA ENGINEER WITH AWS
Experience : 5 years
Must-have:
• Highly skilled in Python and PySpark
• Have expertise in writing Glue jobs ETL script, AWS
• Experience in working with Kafka
• Extensive SQL DB experience – Postgres
Good-to-have:
• Experience in working with data analytics and modelling
• Hands on Experience of PowerBI visualization tool
• Knowledge and hands-on on version control system - Git Common:
• Excellent communication and presentation skills (written and verbal) to all levels
of an organization
• Should be results oriented with ability to prioritize and drive multiple initiatives to
complete work you're doing on time
• Proven ability to influence a diverse geographically dispersed group of
individuals to facilitate, moderate, and influence productive design and implementation
discussions driving towards results
Shifts - Flexible ( might have to work as per US Shift timings for meetings ).
Employment Type - Any
- Mandatory skills -PHP Experience.
- Experience in web application development and web developer.
- Good Knowledge of PHP, MySQL, jQuery, Javascript, HTML5, CSS3, XML
- Good debugging skills .
- Expertise in MVC Frameworks and good technology exposure of CI/Larvel frameworks added advantage.
Technical Skills Desired:
- Must have experience in either of JavaScript frameworks: Angular
- Must have experience in either of backend software development [J2EE, Spring Boot, Spring core, JPA]
- Must have experience in designing/implementing Hibernate/ORM, Restful web services, Micro Services using Java
- Knowledge with relational/ NoSQL databases (e.g., Oracle, MySQL, MongoDB)
- Knowledge with versioning (Git or SVN) /build tools (Maven/Ant/Gradle/Junit), Unit testing & code coverage tools is desired
- Knowledge of App / Web servers (NGINX / Tomcat / Jboss Wildfly)
- Understands the process of new application development and has the ability to apply these concepts with minimal mentoring and supervision.
- Advanced knowledge experience using any of IDE (e.g., Eclipse, SonarQube, STS, VS Code)
- Knowledge on Cloud platform, technologies & deployments is an added advantage
- Resolves technical issues through debugging, research, and
- Must have experience with Agile tools
Functional Skills Desired:
- Good knowledge in product development domains
- Knowledge in Finance and Insurance domain preferred
- Maintain quality and ensure responsiveness of
- Complete application development by coordinating requirements, schedules, and activities contributing to team meetings;
- Troubleshooting development and production problems across multiple environments and operating platforms.
- Collaborate with the rest of the engineering team to design and launch new features
- Understanding and implementation of security and data
- Ensure designs are in compliance with specifications and standards and best industry
- Usage of Process tools – JIRA, TFS, HP QC or any other agile tools, also knowledge of CMM Level 3 development process.
- Self-motivated & working independently with minimal
- Maintain code integrity and
- Experience working with graphic designers and converting designs to visual
- Follow the coding standards for java and angular
Technical Skills Good to Have:
- Usage of troubleshooting tools like J Profiler, J Meter or application performance tuning
- Exposure to Non-web-based developments, for both mobile and
- Development experience using Docker, Kubernetes, Containerization etc in AWS or other cloud platforms
- Willing to take up proof of concepts and showcase the technical capability
- Usage of design tools Visio or draw io
- Usage of CI/CD pipeline
We are looking for a driven, talented full-stack developer, obsessed with coding to join our development team. We have been called the hottest SaaS startup in the interior design space many times, so if you join us, you’ll have the rare opportunity to build a product like Canva from scratch! Not just that, you’ll get to learn various exciting technologies that power products like Figma.
So if you’re smart, curious about new digital technologies, and moonstruck about the quality of your code: You have a love-hate relationship with code bugs – you hate to see them, but if they do pop up once in a while, you are amazingly efficient at throwing them out of your code, with love. - this job is yours!
Requirements:
- 3 years experience on MongoDB, Express, VueJs/ react.js and NodeJs(MEVN stack)
- Hands-on with JavaScript with detailed knowledge of browser peculiarities
- working experience on Node.js/Python/Java, on the server; Express JS; MongoDB and VueJs/react.js/NuxtJs on client side.
Oh and just like everyone else, we love bonuses too. Any work experience in the below would be a sweet add on:
- Experience with cloud technologies such as AWS
- Creating robust and secure RESTful web services in XML and JSON, JavaScript, jQuery










