Backend DevOps Engineer

Job Title: Backend Devops Engineer

Location: Fully Remote

Duration: Direct Hire

Interview Process: The coding will be completed during the technical screening, followed by a final interview.

Overview:

We are looking for a highly experienced Core Team Engineer (Cloud & Platform) to join our core architecture team. In this role, you will be responsible for building scalable cloud infrastructure, distributed systems, and data engineering solutions that power mission-critical applications. This is a hands-on technical leadership role, requiring strong expertise in backend engineering, cloud platforms, and data pipelines, along with the ability to mentor and guide future hires.

Focus: Core platform architecture, cloud infrastructure, and distributed data, Java, Spring.

Key Skills:

• Cloud and Containers: Strong AWS (ECS, Fargate, EC2, S3, Secrets Manager, IAM), Docker, CI/CD pipelines
• Backend: Strong Java with Spring Boot / Spring Cloud for microservices
• Databases: PostgreSQL and MongoDB, schema design, SQL optimization
• Data Engineering: Kafka for streaming, ETL design and orchestration, connecting APIs to data lakes/warehouses
• Security: JWT / OAuth2 / token-based authentication, identity federation
• Analytics: Exposure to Snowflake, data warehouses, SQL for reporting
• Soft Skills: Effective communicator, strong documentation habits, able to mentor future hires

Job Responsibilities

• Designed, developed, and maintained subscription APIs leveraging Java 17, Spring Boot, and REST/GraphQL, powering subscription products for millions of digital media users.
• Designed and developed scalable, high-performance backend services in Java (Spring Boot) to support AI-driven retail platforms.
• Leveraged AI-assisted development tools to accelerate feature delivery and improve code reliability, test coverage, and observability metrics.
• Applied caching strategies and frameworks (Redis, Ehcache) to improve application response times and reduce database load.
• Containerized development using Docker and Kubernetes/OpenShift, enabling faster and more reliable deployments across environments.
• Designed and implemented event-driven architectures using Kafka/RabbitMQ, enabling reliable asynchronous processing at scale.
• Deployed monitoring and observability solutions (Datadog, Prometheus, ELK) for real-time insight into system health, latency, and payment success rates.
• Developed service-oriented backend services in TypeScript, ensuring scalability, maintainability, and compliance with enterprise best practices.
• Developed and maintained REST APIs, managing full API lifecycle (design, versioning, monitoring, deprecation) for internal and external integrations.
• Integrated security validation, encryption, and tokenization frameworks to protect sensitive customer and financial data across distributed systems.
• Containerized and orchestrated applications with Docker and Kubernetes, improving scalability and resilience of distributed systems.
• Developed automated test suites and CI/CD pipelines to validate functional, performance, and compliance requirements before deployment.
• Partnered with architecture and product teams to design APIs and orchestration pipelines that support embedded finance and monetization use cases.
• Drove continuous modernization of core payment services, aligning with enterprise cloud strategy and ensuring scalability, resiliency, and compliance across environments.
• Built event-driven orchestration components with smart routing, status tracking, and exception handling to ensure reliable and auditable payment flows.
• Engineered scalable, fault-tolerant services in cloud-native environments (AWS/GCP) using Java, Go, and Python, optimizing for latency, concurrency, and throughput.
• Implemented Test-Driven Development (TDD) practices to deliver high-quality, maintainable code, leveraging automated testing frameworks such as JUnit, Robot Framework, and Jasmine.
• Built and maintained scalable backend services in Java and Spring Boot, implementing secure and reliable REST APIs with dependency injection, configuration management, and security best practices.
• Built automated CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) integrated with SonarQube, Docker, and Kubernetes, improving release frequency and reliability.
• Developed real-time payment APIs and backend microservices enabling high-throughput transaction processing, account validation, and secure fintech integrations.