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Sr. Software Engineer-Integration

Accellor
Hyderabad, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
JavaKotlinPythonAWSKafka
Free

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JavaKotlinPython
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What we’re looking for

As a Sr. Software Engineer, Integration (VMO), you will be a senior technical contributor responsible for designing, building, and operating cloud-native integration services and APIs . This is a hands-on software engineering role focused on writing high-quality code and building distributed systems that integrate products, data platforms, and enterprise applications.

You will work closely with enterprise applications and finance teams to deliver API-first, event-driven architectures on AWS as the primary execution platform.

Responsibilities

  • ● Design, build, and operate cloud-native microservices on AWS to support enterprise integrations and APIs.
  • ● Write high-quality, production-grade software in Java, Kotlin, and/or Python, applying proven software engineering patterns and best practices.
  • ● Architect and implement event-driven and asynchronous systems using messaging and streaming platforms (e.g., Kafka or AWS-native equivalents).
  • ● Apply distributed systems and integration patterns (e.g., idempotency, retries, backpressure, eventual consistency) to build resilient services.
  • ● Design API-first services that expose well-defined domain capabilities for product, data, and enterprise consumers.
  • ● Build and operate large-scale data exports and ingestion pipelines, supporting batch and near-real-time use cases.
  • ● Integrate with external SaaS platforms (Salesforce, Zuora Billing/RevPro, NetSuite, etc.) using custom-built services, APIs, and events.
  • ● Design systems with strong emphasis on observability, fault tolerance, security, and operational excellence.
  • ● Participate in architecture and design reviews, contributing to microservices and event-driven architecture standards.
  • ● Design and manage data persistence layers, selecting appropriate database technologies based on access patterns and scale.
  • ● Drive DevOps best practices including CI/CD, infrastructure as code, and automated testing.

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