Java Tech Lead

Job title: Java Tech Lead
Role is onsite
Years of experience required: 12-16

Mandatory skills:
Java, Microservices, AWS, Database, Kafka

Job Summary
Senior Java Full Stack Developer with 12+ years of experience in designing, developing, and deploying enterprise-scale applications using Java, Spring Boot, Microservices, Kafka, and AWS Cloud. Proven expertise in building cloud-native, event-driven, and highly scalable distributed systems for Banking, Financial Services, and Enterprise domains. Strong experience across the full software development lifecycle, including architecture, development, testing, CI/CD, containerization, and cloud deployment.

Responsibilities

• Design and implement robust Java based microservices that process and serve complex geospatial data while maintaining high performance and reliability for enterprise applications.
• Develop and optimize Spring Boot services that integrate geospatial libraries and data sources to deliver efficient spatial queries and analytical features for business users.
• Configure and manage AWS EC2 environments to host and scale Java microservices that support geospatial workloads with strong focus on availability and cost efficiency.
• Collaborate with product owners and geospatial analysts to translate domain requirements into technical designs and implementation plans that align with organizational objectives.
• Review and refactor existing Java and Spring Boot codebases to enhance modularity, maintainability, and adherence to best practices across microservices architecture.
• Implement secure interfaces and APIs that enable reliable data exchange between geospatial services, external systems, and client applications following industry security standards.
• Monitor application performance and resource utilization on AWS EC2 instances and propose improvements that enhance throughput, stability, and user experience.
• Coordinate with quality engineering teams to define test strategies for microservices including unit, integration, and performance testing for geospatial processing flows.
• Prepare detailed technical documentation that covers architecture decisions, deployment configurations, and operational procedures for Java and Spring Boot services.
• Mentor team members on advanced Java concepts, microservices patterns, and effective use of Spring Boot features to maintain consistent engineering quality.
• Engage with stakeholders to plan delivery milestones, estimate effort, and ensure that geospatial solutions are delivered on schedule and within defined quality expectations.
• Ensure compliance with organizational governance standards, data protection guidelines, and regulatory requirements in all geospatial solution components.
• Drive continuous improvement initiatives by identifying opportunities to adopt emerging tools, frameworks, and patterns that enhance geospatial capability within the organization.

Qualifications

• Demonstrate strong proficiency in core and advanced Java concepts including multithreading, collections, and performance optimization applied to geospatial processing scenarios.
• Exhibit hands-on expertise with Spring Boot for building microservices including dependency injection, RESTful services, configuration management, and observability.
• Show practical experience designing and deploying microservices architectures that handle high volume and low latency geospatial data transactions.
• Apply working knowledge of AWS EC2 for provisioning, configuring, and managing compute resources that host Java based microservices in production environments.
• Utilize experience with geospatial concepts such as coordinate reference systems, vector and raster data, and spatial indexing to design effective solutions.
• Display familiarity with relational and NoSQL data stores commonly used for geospatial applications and design schemas that support efficient spatial queries.
• Use strong understanding of CI and CD practices to automate build, test, and deployment pipelines for Java and Spring Boot microservices.
• Demonstrate ability to analyze complex problems in geospatial workflows and propose practical and scalable technical solutions.
• Communicate effectively with cross functional teams and stakeholders to ensure clear understanding of geospatial solution capabilities and constraints.
• Maintain focus on quality and maintainability by adhering to coding standards, conducting reviews, and encouraging continuous learning within the team.
• Leverage prior experience of eight to twelve years in Java development to guide architectural decisions and ensure resilient microservices solutions.
• Prefer exposure to additional cloud native services such as container orchestration and monitoring tools that complement AWS EC2 deployments.
• Value experience working in office based agile environments where close collaboration and quick feedback cycles are essential for project success.

Certifications Required: Preferred certifications include AWS Certified Developer Associate or AWS Certified Solutions Architect Associate and Java focused credentials such as Oracle Certified Professional Java Programmer.

Technical Skills

Backend

• Java 8/11/17/21
• Spring Boot, Spring MVC, Spring Cloud
• Microservices Architecture
• RESTful APIs, GraphQL
• Hibernate, JPA, JDBC
• OAuth2, JWT, Spring Security
• Design Patterns, Domain Driven Design (DDD)

Messaging & Streaming

• Apache Kafka
• Event-Driven Architecture
• Kafka Streams

Cloud & DevOps

• AWS (EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, CloudWatch, IAM)
• Docker, Kubernetes
• Jenkins, GitHub Actions
• Terraform, CloudFormation
• Maven, Gradle

Databases

• Oracle
• PostgreSQL
• MySQL
• MongoDB
• Cassandra
• Redis

Monitoring & Logging

• Splunk
• ELK Stack
• Grafana
• Prometheus

Tools & Methodologies

• Git, Bitbucket
• Jira, Confluence
• Agile/Scrum
• JUnit, Mockito, Postman, SonarQube