Senior Software Engineer - Backend
- New York, NY, United States
- Apache Spark
- React Native
Minimum Experience: 5 years
Job Type: Full Time
Who we are:
Dataminr puts real-time AI and public data to work for our clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Our leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Our real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold.
Dataminr is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50 and Forbes Cloud 100 lists. We also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards.
Join our team and help the world manage risk in real time. You’ll work with 600+ talented people across seven offices, united by our passion to collaborate, make a difference, and have fun while doing it!
What you've done before:
You have built back end systems to analyze massive amounts of data. Demonstrated excellent problem solving skills and solid understanding of computer science fundamentals, including commonly used algorithms and data structures. Worked with distributed systems using microservices architecture. Built applications with OO languages (preferably in Java or Scala), using SQL and NoSQL data stores, and run them in containers in a cloud environment.
What success looks like in your first 6 months:
In this role, you will build the services and underlying infrastructure that allows us to deal with terabytes of unstructured data and:
contribute code to production systems from the get-go. spend time with different parts of the company to understand how Dataminr works. get up to speed on our tech stack and infrastructure with overview sessions and deep dives with your team. share responsibility for several microservices and design significant features that impact multiple services. be influential in helping plan the next iterations of our architecture as we strive to get more alerts to our clients faster and with near-perfect reliability. Lead important initiatives and mentor junior engineers. Why you should work here:
We recognize and reward hard work with: company paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance 401(k) savings plan with company matching flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses We want you to be your best, authentic self by supporting you with: a diverse, driven, and passionate team of coworkers who want you to succeed individual learning and development fund and professional training generous paid time off; including sick leave and 100% company paid parental leave remote working friendly perks such as expanded telehealth options for mental and physical well being, virtual yoga, meditation and health and fitness app reimbursements Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
Dataminr has been recognized as one of the world’s leading businesses in AI and Machine Learning innovation, pioneering groundbreaking technology for detecting, classifying, and determining the significance of public information in real-time. Dataminr discovers high-impact events instantly and critical breaking information long before it's in the news.
We foster a team-driven, collaborative, and interconnected culture. Join your coworkers for all-hands meetings, (virtual) happy hours, game nights, movie nights, volunteering events and more.
- Apache Spark
- React Native
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