Senior Backend Engineer: Build Scalable Data Platforms

inPowered AI

San Francisco (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

inPowered AI in San Francisco is seeking a brilliant engineer to accelerate the build-out of our client-facing content marketing platform, designing and implementing new systems and maintaining production operations. The candidate will operate in a distributed architecture building the infrastructure to manage Big Data and solve complex algorithmic problems.

It will deliver initiatives that drive revenue and improve efficiency in line with our business strategy, maintain in-depth knowledge of

Qualifications

  • 6+ years’ experience in Java.
  • Experience leading software engineering teams.
  • Experience creating complex projects, regarding architecture and development.
  • Ability to work independently and with teams.
  • Extensive experience with Service Oriented Architectures.
  • Solid experience with SQL and noSQL database solutions.
  • Experience on tools like Spark, Kafka, and Clickhouse.
  • Familiarity with AWS and Docker.
  • Strong analytical skills.

Responsibilities

  • Autonomously deliver key new features for our back-end systems
  • Improve performance, scalability, maintainability, and flexibility of our back-end systems
  • Deliver code in an agile team environment
  • Drive innovation through rapid prototyping and iterative development
  • Participate in development life cycle activities - design, code, test and release

Skills

Java
Team leadership
Architecture
Independence
SOA
SQL
NoSQL
Spark
Kafka
ClickHouse
AWS
Docker
Analytical skills

Tools

Spark
Kafka
ClickHouse
AWS
Docker

Job description

inPowered AI in San Francisco is seeking a brilliant engineer to accelerate the build-out of our client-facing content marketing platform, designing and implementing new systems and maintaining production operations. The candidate will operate in a distributed architecture building the infrastructure to manage Big Data and solve complex algorithmic problems.

It will deliver initiatives that drive revenue and improve efficiency in line with our business strategy, maintain in-depth knowledge of

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