Senior Engineer

Fractal Analytics · Bengaluru

  • Experience5–9 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted10 Sept 2026
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About Fractal Analytics

Fractal Analytics is hiring in Bengaluru in technology software. This role looks for around 5+ years of experience.

Skills

  • Java
  • Spring Boot
  • Golang
  • REST APIs
  • Microservices
  • Azure
  • Amazon Web Services
  • Docker
  • Kubernetes
  • OAuth2
  • JWT
  • CI/CD
  • Azure DevOps
  • GitHub Actions
  • AWS CodePipeline
  • Git
  • Terraform
  • CloudFormation
  • ARM templates
  • REST APIs
  • gRPC
  • PostgreSQL
  • MySQL
  • MongoDB
  • DynamoDB
  • Cosmos DB
  • Grafana
  • Datadog
  • ELK
  • Kafka
  • Amazon Kinesis
  • Azure Event Hubs
  • Event-driven architecture
  • SQL
  • NoSQL
  • Object-oriented programming
  • Design patterns
  • System design

The role

A backend engineer at a technology software company designs Java, Spring Boot, and Kafka services for scalable distributed systems, while building cloud-native APIs and event-driven architectures. The role also applies Kubernetes and Terraform to deploy resilient services and infrastructure.

Full job description

Responsibilities:

Design, develop, and maintain RESTful APIs and microservices using Java (Spring Boot).

Implement scalable and resilient backend solutions hosted on Azure or AWS Cloud.

Collaborate with front-end engineers, data engineers, and DevOps teams to deliver end-to-end solutions.

Optimise application performance by tuning database queries, caching, and load balancing strategies.

Ensure security best practices for APIs, authentication, and authorisation (OAuth2 JWT, etc. ).

Develop CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or AWS CodePipeline.

Work with containerization and orchestration tools (Docker, Kubernetes, ECS, AKS, EKS).

Implement monitoring and logging using tools like CloudWatch, Azure Log Analytics, Azure Monitor, Datadog, or ELK.

Design and implement event-driven architectures using Kafka, Azure Event Hubs, AWS Kinesis, or similar streaming platforms for real-time data processing and asynchronous communication.

Build and maintain scalable message producers/consumers, ensuring reliable event processing, fault tolerance, retry mechanisms, and dead-letter queue (DLQ) handling.

Participate in Agile/Scrum ceremonies, code reviews, and provide mentorship to junior developers.

Ensure compliance with coding standards, best practices, and cloud-native architectures.

Requirements:

Bachelor's or master's degree in computer science, Engineering, or a related field.

6-9 years of backend development experience.

Strong expertise in Java (Spring Boot) or Golang for building microservices and APIs.

Hands-on experience with Azure (Functions, AKS, ADLS, Cosmos DB, Service Bus) or AWS (Lambda, ECS, S3 DynamoDB, SQS/SNS, RDS, API Gateway).

Strong knowledge of REST APIs, gRPC, and event-driven architecture.

Experience with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Cosmos DB).

Proficiency in CI/CD pipelines, version control (Git), and Infrastructure as Code (Terraform, CloudFormation, ARM templates).

Familiarity with observability tools (Grafana, Datadog, ELK stack, Cloud-native monitoring).

Hands-on experience with Kafka consumer groups, partitioning, offsets, schema management, and stream processing concepts for building high-throughput, low-latency distributed systems.

Understanding of message brokers/streaming platforms (Kafka, Kinesis, Event Hub).

Solid understanding of software engineering principles: OOP, design patterns, and system design.

Nice to Have:

Experience with serverless architectures (AWS Lambda / Azure Functions).

Exposure to DevSecOps practices and cloud security.

Familiarity with GraphQL or API gateways (Kong, Apigee, API Management).

Knowledge of Data Engineering / Big Data tools (Spark, Databricks, Glue) is a plus.