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.
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.
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom.
Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer: - Accellor is proud to be an equal opportunity employer.
We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic ● 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
