Technical Lead - Java

Your Opportunity:

Technical Lead

You will:

• Hands-on Coding & Code Review:

  Actively participate in coding and code reviews, ensuring adherence to best practices, coding standards, and performance optimization.

• High-Level and Low-Level Design:

  Create comprehensive architectural documentation that guides the development team and ensures the scalability and security of the system. Architect and integrate GenAI and LLM-based solutions into existing and new systems to enhance functionality and performance.

• Big Data & Data Lakes:

  Oversee the design and management of Big Data pipelines and Data Lake solutions. Implement best practices for data storage, retrieval, and processing to support large-scale AI and analytics applications

• Security Best Practices:

  Implement security strategies, including data encryption, access control, and threat detection, ensuring the platform adheres to the highest security standards.

• Compliance Management:

  Oversee compliance with regulatory requirements such as GDPR, including data protection, retention policies, and audit readiness.

• Disaster Recovery & Business Continuity:

  Design and implement disaster recovery strategies to ensure the reliability and continuity of the system in case of failures or outages.

• Scalability & Performance Optimization:

  Ensure the system architecture can scale seamlessly and optimize performance as business needs grow.

• Monitoring & Alerting:

  Set up real-time monitoring and alerting systems to ensure proactive identification and resolution of performance bottlenecks, security threats, and system failures.

• Cross-Platform Deployment:

  Architect flexible, cloud-agnostic solutions and manage deployments on Azure and AWS platforms.

• Containerization & Orchestration:

  Use Kubernetes and Docker Swarm for container management and orchestration to achieve a high degree of automation and reliability in deployments.

• Data Management:

  Manage database architecture using MySQL, MongoDB and ElasticSearch to ensure efficient storage, retrieval, and management of data.

• Message Queuing Systems:

  Design and manage asynchronous communication using Kafka and Redis for event-driven architecture.

• Collaboration & Leadership:

  Work closely with cross-functional teams including developers, product managers, and other stakeholders to deliver high-quality solutions on time.

• Mentoring & Team Leadership:

  Mentor, guide, and lead the engineering team, fostering technical growth and maintaining adherence to architectural and coding standards.

Work Location

You should have:

Education:

Experience:

Technical Expertise:

• Proficient in Java and related frameworks like Spring-boot
• Awareness of Generative AI, using in current projects
• Experience with databases like MySQL, MongoDB, ElasticSearch, and message queuing systems like Kafka, Redis.
• Deep knowledge of Generative AI concepts and expertise in deploying and fine-tuning Large Language Models.
• Proficiency in Big Data technologies (e.g., Hadoop, Spark) and Data Lake architectures.
• Hands-on experience with Docker and container orchestration tools like Kubernetes.
• Strong understanding of cloud platforms (AWS, Azure, or Google Cloud).
• Experience with monitoring tools (e.g., Prometheus, Grafana, ELK stack) and alerting systems for real-time issue detection and resolution.

• Compliance & Security:

• Hands-on experience in implementing security best practices.
• Familiarity with compliance frameworks such as GDPR and DPDP

• Architecture & Design:

  Proven experience in high-level and low-level architectural design.

• Problem-Solving:

  Strong analytical and problem-solving skills, with the ability to handle complex and ambiguous situations.

• Leadership:

  Proven ability to lead teams, influence stakeholders, and drive change.

• Communication:

  Excellent verbal and written communication skills.

Our Ideal Candidate:

The ideal candidate should possess a deep understanding of the latest architectural patterns, cloud-native design, LLM Models, and security practices. They should be adept at translating business requirements into scalable and efficient technical solutions. A proactive, hands-on approach to problem-solving and a passion for innovation are essential. Strong leadership and mentoring skills are crucial to drive a high-performance team and foster technical excellence.