Design and develop scalable, highly available data-driven solutions for inventory management, order fulfillment, and supply chain optimization. Build algorithms, applications, microservices, distributed systems, and production-grade data pipelines across cloud and on-premises environments. Partner with business, product, and program management teams throughout the SaaS lifecycle, applying Agile, CI/CD, reliability, performance, and maintainability best practices.
What you’ll be doing:
You will be part of Inventory Management Team and partner with
both business and technology teams to design and develop in-house data driven
solutions for complex decision-making problems through systematic application
of computer science, analytics, mathematical optimization, and machine learning
as well as applying cutting edge technologies in the areas of Inventory
Management, Order Fulfillment, and Supply Chain. Develop algorithms and
applications from inception to implementation and collaborate across
departments to productionize solutions.
Hands-on ownership designing and developing highly scalable &
highly available implementations in public Cloud and on-prem. Participate in
the entire SaaS lifecycle driving adoption and scale applying best practices
that drive agility and quality. Work closely with product management and
program management to derive application requirements, set expectations, and
communicate progress.
What you bring to the table:
- Excellent team
player who can drive a collaborative environment.
- Self-motivated,
high-energy with the ability to execute on business objectives.
- Experience in
building low latency and highly scalable distributed systems.
- Ensure that
technical solutions follow best practices, are reliable, are easily
maintainable.
- Excellent
verbal and written communications with the ability to establish effective
working relationships with team members and cross functional teams.
Requirements
Qualifications:
What’s needed- Basic Qualifications:
- 12+ years of
related work experience.
- Strong
hands-on programming experience in at least one modern language (Java,
Python) and Big Data frameworks (Spark or Kafka)
- Strong hold on
system design and ability to develop highly reliable, fault-tolerant
distributed applications with a heavy emphasis on performance and scale in
the Cloud.
- Demonstrated
understanding of fast-paced Agile principles with technical designs,
iterative development, and code reviews.
- Well-versed
with building high quality software using the industry proven practices –
12 factor app, reactive manifesto, and CI/CD.
- Building
microservices using Spring/Spring-boot framework including Spring JPA,
Spring Batch, Spring Security, Spring Cloud, Spring Data Stream etc.
- Experience
working with Distributed Databases such as Azure CosmosDB, Couchbase, and
MongoDB.
- Experience
working with Relational Databases such as MySQL or PostgreSQL.
- Experience
working with Distributed Caching solutions such as Memcached, Redis, and
Hazelcast.
- Experience
working with Distributed Messaging solutions such Azure EventHub, Apache
Kafka, and Solace.
- Experience
building and optimizing production grade data pipelines (stream processing
and batch) to prepare datasets at scale for data analysis, modeling, and
optimization.
What’s needed- Preferred Qualifications:
- Proven
experience taking an idea from inception to life with an ability to
explore a variety of open-source technologies.
- Experience with developing, deploying, and
launching software products on public cloud preferably Microsoft Azure or GCP
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