Lead Backend Engineer

Posted One Month Ago
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Bengaluru, Karnataka, IND
In-Office
Senior level
Big Data • Information Technology • Software • Consulting
The Role
Lead end-to-end architecture and develop scalable backend microservices using Java or Python. Design for high throughput, low latency, and fault tolerance; optimize performance with caching, sharding, load balancing, and concurrency. Define SLOs and SLIs, improve observability, lead incident response and root-cause analysis, and implement preventive engineering practices. Mentor engineers and promote strong development standards across distributed systems and production services.
Summary Generated by Built In
About Tarento:

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

We are looking for Lead Backend Engineers for our Bangalore office.

Tech Stack: Java or Python

About the Role:

• Hiring Lead Backend Engineers experienced in Java or Python.  
• Strong in distributed systems, microservices, HLD/LLD, and production ownership.  
• Must have product-company experience building scalable and reliable services.  

Key Responsibilities

• Lead end-to-end architecture and author HLD/LLD docs.  
• Build scalable microservices using Java (Spring Boot) or Python.  
• Design systems for high throughput, low latency, and fault tolerance.  
• Optimize performance using caching, sharding, load balancing, concurrency.  
• Define SLOs/SLIs and drive observability using metrics, logs, tracing.  
• Lead incident resolution, RCA, and preventive engineering.  
• Mentor other engineers and lead engineering best practices

Required Skills

• Expertise in Java or Python.  
• Strong DS/Algo and system design fundamentals.  
• Experience with microservices, distributed systems, REST/gRPC
• Datastores: Postgres/MySQL, Redis, and one NoSQL store
• Messaging: Kafka/Pulsar/RabbitMQ.  
• Cloud: AWS/Azure/GCP; Docker & Kubernetes.  
• Observability: Prometheus, Grafana, Open Telemetry

Nice-to-Have

• Event-driven architecture, DDD, or CQRS.  
• Terraform, service mesh (Istio), API Gateway patterns.  
• Elasticsearch/OpenSearch experience

Skills Required

  • Expertise in Java or Python
  • Strong data structures, algorithms, and system design fundamentals
  • Experience with microservices and distributed systems
  • Experience with REST or gRPC
  • Experience with PostgreSQL or MySQL, Redis, and one NoSQL datastore
  • Experience with Kafka, Pulsar, or RabbitMQ
  • Experience with AWS, Azure, or Google Cloud Platform
  • Experience with Docker and Kubernetes
  • Experience with Prometheus, Grafana, or OpenTelemetry
  • Product-company experience building scalable and reliable services
  • Experience with event-driven architecture, domain-driven design, or CQRS
  • Experience with Terraform, Istio, or API Gateway patterns
  • Experience with Elasticsearch or OpenSearch
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The Company
HQ: Stockholm
766 Employees
Year Founded: 2009

What We Do

Tarento is a Nordic-Indian IT services company that helps organizations navigate digitalization through enterprise applications, data and information management, mobile and custom solutions. Its offerings span digital, data, AI, cloud, consulting, software development, integration, testing, and application management. The company also builds scalable web and mobile apps, portals, platforms, and products for clients across industries, combining technology expertise with data-management capabilities.

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