What we’re looking forAs a Sr. Software Engineer, Integration, 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. Work timings-2.30pm till 10.30 pm ISTResponsibilities:● 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. Requirements● Bachelor’s degree in Computer Science or a related field.● 5+ years of professional software engineering experience, primarily focused on backend and distributed systems.● Strong proficiency in Java, Kotlin, and/or Python.● Experience designing and operating microservices-based architectures in production.● Hands-on experience with event-driven systems and asynchronous processing.● Experience with queuing and messaging systems (e.g., message queues, pub/sub, streaming).● Hands-on experience designing and building AWS-based systems.● Experience with relational and NoSQL database technologies, including schema design, data modeling, and performance optimization.● Solid understanding of software design patterns, integration patterns, and distributed data consistency models.● Experience designing and operating data export and ingestion workflows.● Proven experience delivering complex systems using Agile and modern SDLC practices.● Strong communication and cross-functional collaboration skills.Preferred QualificationsExperience with Kafka or equivalent streaming platforms.Experience with AWS-native messaging and data services (e.g., SNS/SQS, EventBridge, streaming, object storage).Experience building internal platforms or shared integration frameworks.Familiarity with data consistency, reconciliation, and recovery strategies across distributed systems.AWS certifications (Solutions Architect, Developer, or equivalent
What we’re looking for
As a Sr. Software Engineer, Integration, 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.
Work timings-2.30pm till 10.30 pm IST
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.
Requirements
● Bachelor’s degree in Computer Science or a related field.
● 5+ years of professional software engineering experience, primarily focused on backend and distributed systems.
● Strong proficiency in Java, Kotlin, and/or Python.
● Experience designing and operating microservices-based architectures in production.
● Hands-on experience with event-driven systems and asynchronous processing.
● Experience with queuing and messaging systems (e.g., message queues, pub/sub, streaming).
● Hands-on experience designing and building AWS-based systems.
● Experience with relational and NoSQL database technologies, including schema design, data modeling, and performance optimization.
● Solid understanding of software design patterns, integration patterns, and distributed data consistency models.
● Experience designing and operating data export and ingestion workflows.
● Proven experience delivering complex systems using Agile and modern SDLC practices.
● Strong communication and cross-functional collaboration skills.
Preferred Qualifications
- Experience with Kafka or equivalent streaming platforms.
- Experience with AWS-native messaging and data services (e.g., SNS/SQS, EventBridge, streaming, object storage).
- Experience building internal platforms or shared integration frameworks.
- Familiarity with data consistency, reconciliation, and recovery strategies across distributed systems.
- AWS certifications (Solutions Architect, Developer, or equivalent
