Full Stack Engineer - Java, AWS

Overview

Full Stack Engineer role building a data platform on the cloud to support Asset Management's data analytics and discovery needs, covering new development, enhancements, maintenance and support.

What you'll do

• Develop and deliver high quality, timely and maintainable software solutions in an Agile environment that meet functional and non-functional business requirements.
• Contribute to multi-functional tasks as part of a robust Agile team.
• Build quality solutions that align with the technology blueprint and standard methodologies to solve business problems, driving design, development and ongoing support.
• Work with the distributed team and provide technical direction in building solutions.
• Participate in knowledge sharing sessions, code reviews and design reviews.
• Demonstrate software engineering excellence through continuous integration, continuous deployment, and Acceptance Test Driven Development.
• Provide on-call production support on a rotation basis.
• Gain domain expertise in the functional and technical areas of focus.
• Keep current with the IT blueprint, frameworks and technologies that would benefit the team and improve productivity.

What you'll need

• BE/MCA.
• Relevant experience of 2-4 years for SE, or 4-6 years for SSE.
• Good object oriented programming skills.
• Java 8 and related frameworks such as Spring Framework.
• At least one ORM tool (Hibernate or myBatis).
• JMS and/or REST/Web Services.
• Angular JS or any equivalent JavaScript based UI framework such as jQuery or Node JS.
• SQL/PL SQL.
• Hands-on experience with any test automation tool.
• Willingness and ability to work as a full stack engineer, with proficiency in one or more of these technologies.
• Experience with matured Agile SCRUM practices.
• Excellent written and verbal communication skills.
• Self-motivated, with proven ability to work effectively with diverse personalities in a dynamic and fast paced environment.

Nice to have

• Exposure to DevOps tools such as Jenkins and uDeploy.
• Exposure to cloud services such as AWS or Azure.
• Exposure to queuing systems such as Kafka.
• Understanding of the Finance/Asset management business domain.
• Familiarity with usage of design patterns and their application.
• Understanding and application of fundamental design principles behind scalable, low latency, high throughput distributed applications.
• Keeps current with the newest technology trends in the industry.

Details

• Location: Bangalore - Manyata/EGL.
• Shift timings: 11:00 am - 8:00 pm.