Company Name: Ace Recruit
Job Role: Backend Engineer - Distributed Systems
Experience Required: 8 to 10 Years
Location: Bangalore, Chennai, Pune, India
Qualification: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related technical field
Industry: Information Technology / Software Development
Work Environment: Agile and Client-Facing
Responsibilities
- Working with the client and the team to determine system requirements and how best to deliver them.
- Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
- Automation of system infrastructure and deployments.
- Production support of systems you are working on (You build it, you run it).
- Advocating agile practices to the client organisation.
- Mentoring client team members.
- Helping improve the team and clients delivery capabilities.
Required Skills
- Extensive, diversified experience developing, maintaining and operating enterprise-scale distributed systems.
- Expert level knowledge of your chosen programming language and the associated tooling. Experience with other languages is highly desirable.
- A passion for technology and a willingness to move between languages and technology stacks.
- Hands-on experience with test driven development and other forms of automated testing.
- Strong understanding of the principles underlying agile development and an understanding of the various approaches that can be effective in realising these principles in different contexts
- Strong communication skills, including the ability to communicate effectively while working remotely with globally distributed teams.
- Strong interpersonal skills, including a desire to collaborate and share knowledge with other team members, including client team members. This also includes the ability to work collectively towards a common goal without insisting on a given course of action.
Nice To Have
- Hands-on experience developing distributed systems including microservice architectures and RESTful services.
- Hands-on experience developing and running large scale production systems ideally in containerised/cloud environments using either AWS, GCP or Azure.