[24]7.ai is hiring Software
Engineer (Fresher 2020/2021 Pass out)
Bengaluru, Karnataka, India
Job Role : Software Development Engineer 1(SDE 1 )
Batch : 2020/2021 passout ( cleared all
papers in 1st attempt )
Date of join : Immediately/max 15 days
Notice
Job Description
We are looking for a product engineer (SDE-1) for
our Product Reliability & Sustenance Engineering team within
our Product Engineering organization, which is responsible for
providing cross-platform sustenance support for our SaaS product.
Role:
As a Product Reliability
& Sustenance Engineer, you'll help improve our products by working
cross-functionally with our Engineering, PO, PSG, SRE, DevOps and L1 support
teams to make customers successful. You will be part of a global Product
Reliability & Sustenance Engineering team that is responsible for providing
24x7 sustenance support to drive resolutions for product issues, problems and
inquiries that customers report. By applying your technical experience, you
will develop a deep understanding of [24]7.ai’s product and services
architecture while driving bug-fixes and enhancements towards an overall better
customer support experience. You will provide technical solutions and resolve
escalations for [24]7.ai’s customers, as well as advising first line support
teams. Your team will also work on the backlog of customer issues and provide
hotfixes and own the patch cycle.
You may be required to
work in a Shift Pattern or non-standard work hours (if required). This may
include weekend work.
Education & Experience:
- Bachelors
or Master’s degree with preference in Computer science. (2020/2021 pass
out )
- No
back-log in any subjects during graduation/post-graduation (i.e.
cleared all subjects in 1st attempt)
- 3-6
months of internship experience preferably
in Software Product Development Organization.
Responsibilities:
- Be
part of a team of product engineers who deliver sustenance support across
[24]7.ai’s products in the public & private clouds and ensure high-quality
customer service across time-zones in a 24x7 setting.
- Resolve
high-profile technical escalations and issues, improve the customer
experience, and drive initiatives that increase their likelihood of
success on our platform.
- Analyze
and collect customer data: log files, Java stack traces, thread dumps,
etc.
- Reproduce
customer issues, file bug reports and coordinate the delivery of fixes
- Provide
technical bug-fixes (code-fixes) to customer reported product defects.
- Work
closely with multiple Product and Engineering teams to collaborate on
technical bug-fixes (code-fixes) as needed.
- Interact
with our Site Reliability Engineering (SRE) teams to drive solutioning and
production excellence.
- Author
quality knowledge base articles to document learning and technical
solutions whenever possible and drive internal knowledge sharing with the
team.
- Help
automate logging and various manual process to drive efficiency with
incident resolution.
- Serve
as an advocate for our customers and work on understanding ways to improve
the product.
Skills:
- Hands-on
development/maintenance experience using Java (preferred),
C++, Node.js or any other programming language is must.
- Good
understanding of Relational Databases and one or
more NoSQL database.
- Good
understanding of JSON and RESTful APIs.
- Exposure
to web applications built using Angular or React.
- Hands-on
experience with log analysis tools and Linux
queries/scripting is expected.
- Experience
with supporting SaaS product on AWS, GCP or Azure cloud platform would be
a plus.
- Experience
with Microservices architecture and developing API’s would be a plus.
- Excellent
communication skills in business English (written & verbal) is a prerequisite.
About [24]7.ai
[24]7.ai is a leader in
the Conversational AI market, with over 250+ Fortune 500/1000 customers. We
continue to transform our business to drive greater value to our team,
shareholders, customers through new product development and market growth.
[24]7.ai is redefining
the way companies interact with consumers. Using Artificial Intelligence and
Machine Learning to understand consumer intent, [24]7.ai’s technology helps
companies create a personalized, predictive and effortless customer experience
across all channels. The world’s largest and most recognizable brands are using
intent-driven engagement from [24]7.ai to assist several hundred million
visitors annually, through more than 2.5 billion conversations, most of which
are automated and learn from each consumer experience.
For more information, visit: https://www.247.ai/
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