Senior Software Engineer - Intelligence Services

Do you want to be at the forefront of intelligence-driven cybersecurity? We at Centripetal are innovators of disruptive cybersecurity solutions. Our CleanINTERNET managed service operationalizes billions of threat indicators in real-time to prevent over 90% of known threats against enterprise networks. Our customers love us for reducing their cybersecurity risks and enabling their security operations to be more proactive, focused and efficient.

Our Intelligence Services is a group within Centripetal that analyzes cyber threat intelligence to envision and create new technologies that power our managed service offerings. We focus on bold ideas around how to leverage data in cyber defense and pursue strategic initiatives that aim to paradigm-shift the cybersecurity landscape.

This position has an impactful role in helping visualize and operationalize the findings of Intelligence Services to create and deliver a cutting-edge user experience with actionable insights for our customers. 

Position: Senior Software Engineer, Intelligence Services

Location: US (Hybrid or Remote)

What you would do:

• Be a member of a high performing product development team.

• Be a back-end engineer developing Kubernetes services for streaming data pipelines and application micro services.

• Develop distributed software systems that enable analytics across many different cyber threat intelligence and data sources.

• Build cloud-delivered cybersecurity products that leverage intelligence and data in innovative ways.

• Work in a creative startup environment with a broad scope of ownership and high degree of autonomy.

• Continuous delivery of features through CI/CD pipeline to productio, delivering documented, maintainable, secure and testable code.

• Contributing to innovation projects from research, ideation and incubation to scale and production.

• Practicing trunk-based development by continuously integrating changes and commits with other team members.

• Developing cloud-native software deployed on multi-cloud platforms.

• Rapidly learning and applying leading edge technologies to new products.

What you should have experience in:

• Experience with Object Oriented and Functional programming languages. Knowledge about the strengths of different programming language paradigms.

• Building clean consumable REST interfaces, having clearly negotiated the contract with consumers of that interface. 

• Proven experience in developing applications on one or more of the major cloud service platforms: Google Cloud Platform, Amazon Web Services, or Microsoft Azure.

• Experience in leveraging AI to increase your impact.

• Familiarity with container orchestration platforms like Kubernetes and how applications are managed and deployed.

• Practice Agile and DevOps methods such as pull-based systems (Kanban), Continuous Integration, and Continuous Delivery.

• Familiarity with GitOps and how it can help with Continuous Delivery (like ArgoCD, FluxCD).

• Event-Driven or Message based systems like AMQP or Kafka.

• Understands how to develop successfully functioning MicroServices from event-driven architectures (like Event Sourcing and CQRS).

• Product startup, small teams experience in Agile environments.

• Comfortable working with different databases such as relational, NoSQL and search engines.

What you should have on your resume:

• BS/MS degree in Computer Science or closely related field.

• Strong experience of functional programming (preferably Clojure)

• Strong CS skills such as data structures, algorithms, and problem solving.

• Build and CI tools such as git, Gradle and CircleCI .

• Solid familiarity with Linux based operating systems such as CentOS or RHEL.

• Solid understanding of container-based applications (e.g. - how to build and run applications in a containerized environment like on docker).

• Testing tools such as JUnit, Spock or Clojure.test.

• Scripting skills in Bash, Ruby, or Python.

Some technologies and processes we use:

• Clojure, Go, Python

• Databricks, PySPark

• Kafka, Kafka Streams, Warpstream

• Relational DB, Document Stores (e.g. ElasticSearch)

• GCP, AWS

• Kubernetes, Cloud Native

• AI tools

• CI/CD, CircleCI, GitOps, FluxCD