Job Description
The Staff Engineer will play a key role in the design and development of key initiatives within the Experian Automotives domain. Experian Automotives team is one of the fastest growing areas with Experian and we are looking for a strong Software Engineer who thrives in a fast-moving environment. The candidate will work very closely with product owners, architects, and engineering teams to deliver high quality, scalable, cloud-based technology solutions.
Key Responsibilities and skillset:
- Design, Development and Testing of key programs within Automotive Engineering team
- Development of technical solutions that are built for quality, scale and performance.
- Collaborate with the business, product management and PMO on product roadmaps and quarterly planning sessions.
- Participate in code and design reviews to minimize rework and catch issues early in the process.
- Ensure stable Production operations with focus on uptime, performance and reliability.
- Work efficiently as a part of a global team of engineers ensuring effective collaboration, communication, and delivery.
- Primary Skillset:-Python, Django, Flask, Fast API, Microservices, AWS or Cloud Native Deployment, CI CD Tools Knowledge.
- Front end Technologies – React, TypeScript, Java, Spring framework,
Knowledge, Experience & Qualifications
- Bachelors, Computer Science or related field preferred or equivalent amount of experience, knowledge, and skills.
- 7 to 10 years of software development experience in designing and building Python Application, Python Based Chat-Bot Applications.
- Architect and design leading solutions with a strong focus on security.
- SOLID design principles
- Strong experience on Django, Flask, Fast API.
- Strong experience with Application development in a multi-platform environment with Python.
- Strong experience with AWS (preferred AWS certification)
- Strong experience with AWS technologies such as DynamoDB, S3 and Lambda server less technology
- Hands-on experience with AWS Bedrock, Glue, Athena
- Preferred experience in Python.
- Strong experience with tools such as Git, Jenkins, deployments using Docker
- Hands-on experience with event-based system processing such as Kafka
- In-depth understanding of Microservices, Event streaming, Data pipelines, and associated frameworks.
- Strong database programming skills, preferably in both SQL and NoSQL Databases.
- Able to work in a fast paced and dynamic environment and achieve results amidst constraints.
- Deep understanding of best design and software engineering practices, design principles and patterns and unit testing.
- Proven experience working in an Agile/Scrum environment.
- Experience with Trouble shooting tools preferably with Splunk, Datadog.
- Nice to Have Data Engineering and AI/ML/Gen AI Knowledge with Python.
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