What are the responsibilities and job description for the Senior Full Stack Engineer position at Strider Technologies?
Job Description
As a member of Strider’s Internal Tools Engineering Team, you will be creating custom tools and systems to automate analysis of billions of data points and surface actionable insights to our internal users. You will work directly with your users, empowering them to deliver accurate and meaningful results to our clients as efficiently as possible. You will also contribute to product innovation, design, and architecture.
We’re looking for someone who is passionate about technology, collaboration, and innovation. A strong desire and aptitude for learning is a must. Our solution is rapidly evolving, with new challenges, new technologies, and a constantly changing threat landscape that we help protect against.
Responsibilities
- Contribute to and improve technical design and architecture of new and existing platforms.
- Collaborate with a talented team of engineers, data scientists, product managers, and subject-matter experts.
- Translate requirements, specifications, and technical design documents into secure applications and/or services.
- Participate in code reviews and software release processes.
- Participate in the discussion and documentation of best practices and standards for software development.
- Research, prototype, and implement new solutions to a wide array of complex system design challenges.
Qualifications
- 5 years professional experience developing applications and supporting end-to-end systems development and delivery.
- 5 years of hands-on Python development experience or related experience in another language (Java, C#, etc.).
- Experience building web interfaces and APIs in Python with Flask/Django and Bootstrap.
- Strong understanding of software algorithms and data structures.
- Experience building cloud-native solutions in AWS and/or Azure.
- Strong cross-functional collaboration skills.
- Ability to manage time efficiently and focus on clear goals.
Nice-to-haves
- Experience with Python Machine Learning tools and techniques, including NLP and OCR.
- Experience with Elasticsearch or similar document-based databases.
- Experience with Neo4j or similar graph databases.
