Sr. Staff Software Engineer

Roles and Responsibilities

In this role, you will:

• Be responsible for providing technical leadership and defining, developing, and evolving software in a fast paced and agile development environment using the latest software development m and infrastructure
• Provide guidance to developers with either planning and execution and/or design architecture using agile methodologies such as SCRUM
• Work with Product Line Leaders (PLLs) to understand product requirements & vision
• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse
• Capture system level requirements by brainstorming with CTO, Sr. Architects, Data Scientists, Businesses & Product Managers
• Leads impact assessment and decision related to technology choices, design /architectural considerations and implementation strategy.
• Subject matter expert in processes and methodologies with ability to adapt and improvise in various situations. Expert in navigating through ambiguity and prioritizing conflicting asks.
• Expert level skills in design, architecture and development, with an ability to take a deep dive in the implementation aspects if the situation demands.
• Leads the architecture and design efforts across the product / multiple product versions and is an expert in architecting custom solutions off the base product.
• Expert in core data structures as well as algorithms and has the ability to implement them using language of choice when necessary as a value offering.

Education Qualification

• 14+ years' experience relevant to software development, validation, architecting in industry space.
• Hands on with application software development in Data Engineering and architecture.

Desired Characteristics

Technical Expertise:

• Experience in implementing data mesh architecture to transition from a centralized model to a decentralized, distributed approach, facilitating the scaling of data products.
• Proficient in designing and managing data architecture, with expertise in setting standards and best practices for data ingestion, curation, transformation, storage, consumption, and reporting layers.
• Data Mesh and Data Fabric: Understanding of data mesh and data fabric principles, enabling software composability and data-centric design trade-offs.
• Microservice Architecture: Understanding of microservice architecture and software development
• Kubernetes: Understanding of Kubernetes, including software development in an orchestrated microservice architecture. This includes Kubernetes API, custom resources, API aggregation, Helm, and manifest standardization
• Experience in designing and implementing data architectures and common data models.
• Experience in Performance optimization ,Data integration ,Data security
• Strong expertise in JAVA and Python
• Strong experience with Kubernetes and microservices architectures
• Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and Java coding principles .
• Experience in architecting and designing scalable, distributed systems architecture software products
• Experience in different architectural styles like SOA , Micro services and Distributed systems architecture.
• Experience with Data streaming technologies such as Apache Kafka
• Experience in Enterprise integration patterns with frameworks likeApache Camel, Talend, MuleSoft etc.