Staff Engineer
1 week ago
About Us:
Concentric AI is a dynamic and innovative startup dedicated to pushing the boundaries of data security. We are passionate about solving complex problems and creating cutting-edge solutions that make a significant impact. If you thrive in a fast-paced, collaborative environment and have a passion for software development, we want you on our team. Join us on the journey to reinvent data security, where we uphold values of Trust, Humility, and Learning at the core of everything we do. Generative AI is rapidly emerging as a critical threat vector and Concentric AI is rising to meet the challenge with two acquisitions", along with the link
Staff Software Engineer - Python
Individual Contributor
About the Role:
As a Python Developer at , you will:
- Collaborate with a high-energy, innovation-driven team to develop scalable, secure, and efficient solutions.
- Contribute to building world-class data security solutions, leveraging your Python expertise to solve critical challenges in modern application development.
- Be a critical member of a dynamic startup, shaping the future of data security.
Requirements:
- Energetic self-starter
, with a passion for working in a dynamic startup environment. - Strong proficiency in DSA and Python programming skills.
- Expert in
end-to-end application development
for cloud/on-premise solutions, including backend development, middle layers, and database integrations. - Demonstrated experience with
cloud-based applications
built on
microservices architectures
achieving horizontal scaling. - Hands-on experience with tools and frameworks such as:
- Kafka, RabbitMQ (RMQ), Elasticsearch (ES)
- SQL (e.g., Postgres)
and
NoSQL databases (e.g., Cassandra, MongoDB, etc.) - Kubernetes (K8s), Apache Spark, Kafka Streams
, and
complex event processing systems
. - Skilled in
solving scaling and performance challenges
in cloud applications. - Strong debugging skills for applications running on
Unix-like systems (e.g., Ubuntu, CentOS)
. - Experience developing
RESTful APIs
for complex and large-scale data sets. - Knowledge of
container-based development and deployment
using tools like
Docker, rkt
, etc. - Familiarity with
cloud platforms
such as AWS, Google Cloud Platform, or Microsoft Azure. - Bonus:
Expertise or familiarity in the
software security domain.
-
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