Tech Lead - Datalab

• Supply Chain optimization,
• Pricing strategy,
• Service Fulfillment (e.g. warranty management, field service management, service parts management, knowledge management).

• Architect, design, and build microservices with a focus on scalability, maintainability, and high performance.

• Lead a team of software developers, conduct design reviews, code reviews, and mentor team members.

• Translate complex business requirements into technical specifications and deliverables.

• Collaborate with product managers, QA engineers, architects, and other stakeholders to ensure smooth execution of product roadmap items.

• Set coding standards and lead by example in writing clean, testable, and efficient code.

• Implement robust observability, logging, and monitoring practices.

• Contribute to platform-wide technical improvements, innovation initiatives, and architectural decisions.

• Promote DevOps practices and CI/CD pipelines to ensure quick and safe software delivery.

• Guide resolution of production issues with urgency and root-cause analysis.

• 9+ years of hands-on software development experience, including 3+ years in technical leadership roles.

• Strong programming expertise in Python with sound knowledge of object-oriented programming, design patterns, and system design.

• Proficient in designing and implementing microservices architectures and RESTful APIs with a DDD approach, from bounded contexts to deployment units and communication.

• Deep understanding of Docker, Kubernetes, Istio service mesh, and Calico for enhanced cluster functionality.

• Hands-on experience with Kubernetes serverless orchestration (Knative) to build cost-effective, scalable solutions.

• Solid platform engineering knowledge with a passion for evangelizing adoption and best practices.

• Experienced in CI/CD pipelines, focusing on code quality, security posture, and test coverage.

• Skilled with tools like GitHub Enterprise, Sonar, and Snyk for secure, high-quality code delivery.

• Created Python libraries using Poetry, with packaging compatible with tools like Artifactory.

• Proficient in AWS, with infrastructure automation using AWS CDK or similar IaC tools.

• Experienced in Aurora Postgres, DynamoDB, and effective data modeling for single-responsibility microservices.

• Familiar with both relational and non-relational databases and their use in scalable systems.

• Exposure to ML model management tools such as MLflow and Evidently.

• Comfortable working in Agile/Scrum environments and collaborating across globally distributed teams.

• Experience with multi-tenant system design, and running Jupyter notebooks in containerized environments.

• Understands how distributed systems function end-to-end and delivers secure, scalable solutions.

• Experience with observability and monitoring tools such as Loki, Tempo, Prometheus and Grafana.

• Always keeps his/her knowledge uptodate with new technologies in AWS and opensource

• You have good knowledge of machine learning lifecycle including how a ml model can be taken from development to production

• Familiarity with event-driven architectures and message brokers.

• Knowledge of end to end ml platforms like Kubeflow,SageMaker, H20, Metaflow..etc

• Ability to write simple ml experiments in Jupyter notebooks for demonstration of datascience workflows

• Knowledge of scientific packages like scikit, pytorch ..etc

• Work with the chief architects in understanding the technical architecture , reviewing , creating decision logs and taking forward the implementation.

• Ability to create custom solutions with Kubernetes and AWS by modifying open source components and guiding such implementations

• Passion for clean architecture, code quality, and mentoring junior developers.

• Strong experience with automated testing strategies and frameworks.

Syncron