Lead Developer, Java Development

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What We'll Bring:

What You'll Bring:

• Design, develop, and maintain scalable, secure applications using Python and/or Java.
• Lead end‑to‑end SDLC activities: requirements analysis, architectural design, development, testing, deployment, and ongoing support.
• Define and implement software architecture patterns (microservices, event-driven design, layered architecture, domain-driven design).
• Build, deploy, and optimize applications on AWS and/or GCP (Compute, Storage, IAM, Networking, Serverless, CI/CD).
• Develop and integrate RESTful APIs, microservices, and distributed systems.
• Implement AI/ML features by using cloud-native AI services or integrating custom ML models (e.g., AWS SageMaker, GCP Vertex AI, or open‑source frameworks).
• Participate in architectural reviews, make technology recommendations, and drive technical decision‑making.
• Conduct code reviews, enforce coding best practices, and mentor junior team members.
• Troubleshoot production issues, identify root causes, and deliver reliable fixes.
• Maintain clear and comprehensive technical documentation.

• Minimum 6+ years of hands‑on experience in Python and/or Java.
• Strong understanding of SDLC methodologies including Agile/Scrum, CI/CD, DevOps practices.
• Solid grasp of software architecture concepts: scalability, performance, security, modularity, design patterns.
• Experience with cloud platforms:
  • AWS: EC2, Lambda, S3, RDS, DynamoDB, EKS, API Gateway, SageMaker
  • GCP: Compute Engine, Cloud Run, GKE, Cloud Functions, BigQuery, Vertex AI
• Practical exposure to AI in software development, such as:
  • Integrating LLM‑based features
  • Using AI APIs (AWS Bedrock, GCP Vertex AI, OpenAI, etc.)
  • Building ML pipelines or inference workflows
• Experience with relational and NoSQL databases.
• Strong understanding of containerisation and orchestration (Docker, Kubernetes).
• Good knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, etc.).
• Excellent problem-solving, debugging, and design skills.

Impact You'll Make:

Good to Have

• Experience with messaging systems (Kafka, Pub/Sub, RabbitMQ).
• Exposure to infrastructure‑as‑code (Terraform, CloudFormation).
• Hands-on experience with monitoring and observability tools (Prometheus, Grafana, CloudWatch).
• Security best practices for cloud‑native workloads.
• Knowledge of MLOps concepts.

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