SpyCloud-posted about 2 months ago
Full-time • Mid Level
Hybrid • Austin, TX
101-250 employees
Publishing Industries

The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter At SpyCloud, we are working on getting customers their data from the dark web as soon as possible. In this role, you will be building out our next-gen data architecture. You will also be working with AI/ML Models, LLM applications, and out data lake of Dark Web data. We are looking for candidates who are excited about building large scale distributed data systems and enjoy solving complex software problems. The ideal candidate will be self-motivated and able to switch contexts and priorities as business needs change. Candidates should have around 8+ years of professional experience, strong technical leadership, and be adept at introducing new pragmatic designs. We are looking for a passionate engineer who enjoys taking on new challenges, and values good design and readable code over fleeting trends. Our Stack: Programming Languages: Python, GO and TypeScript Relational Databases: MySQL, PostgreSQL NoSQL Databases: ElasticSearch, DynamoDB Infrastructure: AWS, Docker, Terraform Operating Systems: Linux, Windows

  • Develop, deploy, and test existing and new products.
  • Ensure high-quality results and timely delivery of full product roadmap items.
  • Provide strong leadership on technical direction and pragmatic design decisions.
  • Maintain good work ethics and a humble attitude while working in a fast-paced environment.
  • Troubleshoot customer-reported issues.
  • Adopt existing team practices and recommend improvements as needed.
  • Work collaboratively with team members to achieve common goals.
  • Mentor junior engineers, fostering a culture of continuous learning and improvement.
  • At least 8 years of professional experience delivering high-quality production software.
  • Strong working knowledge of a programming language in our stack.
  • Strong working knowledge of building and interacting with RESTful APIs.
  • Strong working knowledge of a relational and a NoSQL based database in our stack.
  • Strong computer science fundamentals in data structures, algorithms, and object-oriented programming.
  • Working knowledge streaming data technologies such as Amazon Kinesis or Apache Kafka
  • Experience with open-source data processing frameworks such as Apache Spark, Apache Flink or Apache Storm
  • Working knowledge of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build and deployment processes, and testing.
  • Strong working knowledge of AWS services such as API Gateway, AWS Lambda, EMR, EC2, and ECS.
  • Excellent communication and writing skills.
  • AWS CodeBuild
  • GitHub
  • GitHub Actions
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