Techwave Consulting Inc
Senior Java Architect
GDC Financial District, IN · Senior · Full-time
Sponsorship not specifiedDetected 26 days ago
JavaSpringGitNoSQLPostgreSQLMySQLMongoDBDynamoDBAWSGCPAzureDockerKubernetesTerraformCI/CDGitHub ActionsJenkinsDevOpsRESTKafkaRabbitMQOAuthMachine LearningLLMs
About the role
- This role blends deep technical expertise with consulting capability, delivery leadership, and the strategic use of modern AI tools to accelerate solutioning, improve quality, and enhance productivity.
Responsibilities
- Design microservices, cloud-native, and event-driven solutions.
- Lead client discovery sessions, architecture workshops, and technical discussions.
- Create HLDs, LLDs, architecture diagrams, and reusable reference architectures.
- Support pre-sales activities including solutioning, estimations, and technical proposals.
- Identify architectural risks and drive mitigation strategies.
- Use AI platforms and LLM-based tools to accelerate solution design, estimation, prototyping, and modernization assessments.
Requirements
- Bachelor's or Master's degree in Computer Science or related field
- 12+ years of software development experience
- 5+ years in architecture roles within services/consulting organizations
- Proven experience in client-facing technical leadership
- Experience delivering large-scale enterprise applications
- Experience with AI-assisted development tools and modern engineering accelerators
- Experience evaluating AI/ML solution components within enterprise ecosystems
Nice to have
- We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life.
- Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations.
- Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible.
- Define end-to-end architecture for enterprise-grade Java applications.
- Provide technical leadership to onshore/offshore teams.
- Ensure adherence to coding standards, governance models, and best practices.
- Ensure scalability, performance, security, and high availability.
- Leverage AI-assisted development tools (code generation, automated documentation, intelligent test generation, impact analysis) into engineering workflows.
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