**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Engineer based in India.** This is a hands-on software engineering role focused on designing, building, and maintaining scalable enterprise-grade applications within a complex, distributed technology environment. You will work on modern backend systems, contributing to the development of Java-based microservices and cloud-native applications that support critical business functions such as transaction monitoring and data controls. The role blends software development with DevOps and platform engineering practices, requiring strong ownership across the full software development lifecycle. You will collaborate closely with global engineering teams across time zones, ensuring high-quality, secure, and well-monitored systems in production. A key part of the role involves contributing to cloud and AI-driven capabilities that improve automation and engineering efficiency. You will also help enhance system reliability through observability, monitoring, and performance optimization. This position is ideal for an experienced engineer who enjoys solving complex distributed systems challenges and building robust, production-ready software at scale. ### Accountabilities: - Design, build, and maintain Java-based microservices and APIs to support enterprise applications and business-critical systems. - Develop and enhance cloud-native applications while ensuring scalability, reliability, and performance across environments. - Contribute to architecture discussions and technical design decisions, ensuring alignment with business and system requirements. - Implement DevOps practices including CI/CD pipelines, automated deployments, and infrastructure-as-code using tools such as Terraform. - Build and maintain observability solutions including monitoring, logging, alerting, and dashboards to ensure system health and reliability. - Collaborate with global engineering teams to integrate systems, resolve production issues, and ensure seamless delivery of features. - Leverage AI-assisted development tools to improve productivity, code quality, and development efficiency across the SDLC. ## Requirements: - 6+ years of professional software engineering experience with strong expertise in Core Java (8/11/17), Spring Boot, microservices, and API development. - Hands-on experience developing and operating cloud-native applications on AWS, Azure, or GCP. - Strong understanding of software engineering best practices including design patterns, code reviews, testing, and version control. - Experience with CI/CD tools and Infrastructure-as-Code (Terraform preferred). - Proven experience with observability and monitoring tools such as Prometheus, Grafana, Splunk, ELK, or equivalent platforms. - Familiarity with at least one database technology (e.g., Oracle, BigQuery) and distributed system architectures. - Experience working in globally distributed teams with strong communication and collaboration skills. - Strong debugging, analytical, and problem-solving abilities in complex systems environments. - Exposure to AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar platforms is highly desirable. - Understanding of cloud security principles and data protection practices is a plus. ## Benefits: - Comprehensive health insurance coverage for employees and dependents. - Life, accident, and hospitalization insurance for financial protection and well-being. - Flexible and generous leave policies, including gender-neutral parental leave and additional special leave options. - Employee assistance programs supporting mental health and family well-being. - Sponsorship for professional certifications, training, and continuous learning opportunities. - Access to complementary health screenings and wellness initiatives. - Flexible benefits structure designed to support individual needs and work-life balance. - Strong culture of learning, collaboration, and career development within global engineering teams. **How Jobgether works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) **Data Privacy Notice:** By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1