NetSage
Application Developer-Mid
Annapolis Junction, Maryland, United States · Mid · Contract
No sponsorshipDetected 1 day ago
TypeScriptPythonJavaFull-Stack DevelopmentDockerRESTCybersecurity
> stay_score
odds of building a lasting career here
25Risky
Cap-exempt (no lottery)0
Sponsors this role35
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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About the role
- We believe our success begins with our people, which is why we invest in and care for our employees.
- If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page.
- Please consider applying if you meet the following qualifications.
Requirements
- A Bachelor of Science (B.S.) degree in Computer Science or a related field and five (5) years of relevant experience.
- Also acceptable are a Doctoral degree (PH.D.) and zero (0) years, a Master of Science (M.S.) degree and three (3) years, or an Associate of Science (A.S.) degree and seven (7) years of relevant experience.
- Proficiency in Python, PySpark, Java, and JavaScript.
- Experience with customer corporate tools and data repositories.
- Experience with containerization technologies such as Docker and orchestration platforms including Kubernetes.
- Knowledge of intelligence collection workflows and the intelligence collection cycle.
- Experience writing and optimizing database queries.
Compensation
- Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas.
Company info
- We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.
Visa & Work Authorization
- TS/SCI with polygraph security clearance
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This listing is sourced directly from NetSage's careers page and normalized into a canonical job model.