5 - 8 years
20 - 30 Lacs
Posted:1 month ago|
Platform:
Work from Office
Full Time
At Lovelocal, we're committed to building vibrant communities through the support of local Kirana stores. Our mission is to empower small businesses by providing them with the tools and resources they need to thrive in todays competitive market. By leveraging technology and fostering connections, we aim to enhance the local shopping experience while promoting sustainable practices.
Our leadership team consists of experienced professionals from diverse backgrounds who are passionate about supporting local businesses and communities. With a blend of expertise in technology, business development, and community engagement, our leaders are committed to fostering a collaborative and innovative environment.
As the Lead Software Engineer - Backend, you will architect, build, and scale robust backend systems that power Lovelocals platform. You will lead a team of engineers to design high-performance APIs, optimize databases, and integrate cutting-edge technologies like GenAI and real-time communication. Your work will directly influence the reliability, scalability, and innovation of our tech stack.
- Own end-to-end development of high-performance backend services in Go (Gin)/Python (FastAPI).
- Architect scalable databases (SQL/NoSQL) and real-time systems (WebSockets, Kafka, Redis).
- Deploy and optimize cloud-native apps on GCP (GKE, Cloud Run) using Docker/K8s.
- Mentor engineers, enforce best practices (CI/CD, monitoring via Prometheus/Grafana).
- Evaluate emerging tech (GenAI, vector DBs, GraphQL) for strategic adoption.
- Expertise in Go/Python, cloud-native development, and distributed systems.
- Strong expertise in distributed systems, microservices, and API design (REST/gRPC).
- Hands-on with GCP (GKE, Pub/Sub, Cloud SQL) + Kubernetes.
- Proven experience with real-time systems (WebSockets, Kafka, RabbitMQ).
- Deep knowledge of SQL (PostgreSQL/MySQL) & NoSQL (MongoDB/Firestore).
- Experience with GenAI pipelines, vector databases, and graph databases (Neo4j).
- Knowledge of gRPC, GraphQL.
- Active in tech communities (open-source, blogs, talks).
- Familiarity with Prometheus and Grafana.
- Databases : MySQL, MongoDB
- Cloud Services : Google Cloud Platform, AWS, Microsoft Azure
- Programming Languages : Python, Go
- Web Application Backend Frameworks : Flask, Django, FastAPI, Gin
- GenAI : LangChain, LLM integrations
- Observability : Prometheus, Grafana
- ETL Tools : Databricks Workflow, Apache Airflow
- Data Warehousing : Snowflake, Google Big Query
- Big Data Technologies : Apache Spark
- BI Tools : Tableau, QlikSense
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