Senior Microservices & Cloud Engineer – AWS, Java, TypeScript, Kafka & AI Integration

Job Summary

Synechron is seeking an experienced Senior Software Engineer to lead the development and support of scalable, high-performance microservices and event-driven applications in cloud environments. This role focuses on delivering secure, reliable, and reusable solutions that support enterprise digital transformation initiatives. You will collaborate across teams to translate complex requirements into effective engineering deliverables, ensuring alignment with organizational standards and industry best practices, including observability, security, and emerging AI/ML solutions. Your efforts will enable operational excellence and scalable growth for the organization.

Software Requirements

Required:

• Proficiency in Java (version 8+) with experience in Spring Boot for building scalable, resilient microservices

• Strong skills in TypeScript, JavaScript (Node.js), and front-end frameworks such as React (TS)

• Hands-on experience designing microservices and event-driven architectures using Kafka, RabbitMQ, or similar messaging platforms

• Experience with AWS cloud services: EC2, Lambda, ECS/Fargate, RDS, DynamoDB, CloudFormation, CDK

• Containerization with Docker, orchestrated with Kubernetes

• Automation and CI/CD pipelines: GitHub Actions, TeamCity, Octopus Deploy

• Monitoring and observability: Prometheus, Grafana, CloudWatch, OpenTelemetry

• Security best practices including secrets management (HashiCorp Vault, AWS Secrets Manager) and certificate lifecycle management

Preferred:

• Experience integrating AI/ML models or ChatGPT for automation or support tools

• Familiarity with model management frameworks (e.g., MCP), enterprise analytics platforms, or advanced Kubernetes deployments

Overall Responsibilities

• Architect, develop, and maintain scalable microservices and event-driven systems supporting business operations

• Build resilient APIs, message streams, and serverless functions optimized for performance and reliability

• Implement and oversee observability strategies, including dashboards, KPI tracking, and alerting for system health

• Automate infrastructure provisioning, deployment, and environment management using IaC tools

• Solve complex technical challenges, address technical debt pragmatically, and optimize system performance

• Collaborate with product managers, solution architects, and security stakeholders to ensure compliance and security standards

• Lead technical reviews and mentor junior developers to uphold engineering best practices

• Incorporate emerging AI/ML capabilities to improve automation and intelligent support solutions

• Drive continuous improvement initiatives for system efficiency, security, and cost management

Technical Skills (By Category)

Programming Languages (Essential):

• Java (Spring Boot, version 8+)

• TypeScript, JavaScript (Node.js)

Preferred:

• Python or other scripting languages for automation

Frameworks & Libraries:

• Microservices: Spring Boot, Spring Cloud

• Messaging: Kafka, RabbitMQ

• Front-end: React (TypeScript), Next.js (preferred for full-stack development)

Cloud Technologies:

• AWS: EC2, Lambda, ECS, Fargate, RDS, DynamoDB, CloudFormation, CDK, CodePipeline, CodeBuild

• Cloud security, compliance, and multi-region deployment strategies

DevOps & Automation:

• CI/CD: GitHub Actions, TeamCity, Octopus Deploy

• Containerization: Docker, Kubernetes

• Infrastructure as Code: Terraform, CloudFormation, Ansible

Monitoring & Observability:

• Prometheus, Grafana, CloudWatch, OpenTelemetry

Security & Security Management:

• Secrets management (Vault, Secrets Manager)

• Secure API design, certificates, and compliance protocols

Experience Requirements

• 4–7+ years of professional experience designing, developing, and maintaining scalable microservices and event-driven architectures

• Proven track record deploying cloud-native solutions on AWS

• Experience working within enterprise environments supporting high-availability and security standards

• Familiarity with AI/ML tools and integrations (preferred)

• Demonstrated ability to troubleshoot, optimize, and maintain production systems at scale

Day-to-Day Activities

• Architect and develop microservices, APIs, and event-driven streams to meet functional and performance goals

• Optimize system latency, throughput, and scalability through profiling and tuning

• Automate infrastructure, CI/CD workflows, and deployment pipelines for rapid, reliable releases

• Monitor system health using observability tools, proactively resolving issues

• Collaborate with product and security teams to embed best practices and compliance standards

• Conduct code reviews, provide technical guidance, and mentor team members

• Lead troubleshooting, root cause analysis, and incident management in production environments

• Research and incorporate advanced cloud, security, and AI tools to evolve platform capabilities

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent

• 4+ years of experience in microservices, cloud-native development, and automation

• Industry certifications such as AWS Solutions Architect, Kubernetes Administrator, or DevOps Engineer are preferred

• Strong understanding of security, compliance, and observability standards in enterprise environments

Professional Competencies

• Critical thinking and analytical problem-solving in complex distributed systems

• Effective communication with technical and non-technical stakeholders

• Leadership qualities for guiding engineering teams and best practice implementation

• Results-driven mindset focused on operational stability, security, and performance

• Adaptability to evolving technologies, standards, and business requirements

• Innovative approach to integrating AI/ML and automation solutions