Senior Full Stack Engineer
SparkCognition
This job is no longer accepting applications
See open jobs at SparkCognition.See open jobs similar to "Senior Full Stack Engineer" Energize Capital.Who are we and why this opportunity?
SparkCognition, Inc. delivers world-class AI solutions that allow a business to solve their most critical problems, empowering them to run a more sustainable, safer, and profitable business. Our award-winning AI solutions predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the world’s industry leaders to analyze, optimize, and learn from data. We augment human intelligence, drive profitable growth, and achieve operational excellence.
Drive change and create a footprint. Learn more at: SparkCognition
You Will:
- Build Asset Management and Predictive Analytics platform for industrial systems
- Architect and manage Terabyte/Petabyte scale data analytics offerings
- Work closely with delivery engineering team for successful hand-off of self serve SaaS applications
- Contribute ideas to overall product strategy and roadmap.
- Improve the codebase with continuous refactoring extending the platform for multiple industries
- Work on multiple projects simultaneously and taking products from prototype to production.
- Collaborate with team members in Austin, TX and SF Bay Area, CA to lead 24x7 product development.
You’ll Have:
- BS or MS in Computer Science or related field. Strong CS foundation with knowledge of data structures, algorithms, and software design.
- 3-5 years of experience building & deploying full stack applications. Startup experience a plus
- React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s
- Experience with visualization tools or libraries like Highcharts, ag-grid dealing with large volumes of data and charts
- Experience with GIT, CI/CD tools, Sentry, Atlassian software
It would be great if you had:
- Experience in IoT time series data or DB’s such as Elasticsearch, Big Query, Big Table
- Experience in large scale B2B data management and SaaS applications
- Experience working with serverless architecture and cloud-native tools, particularly AWS or GCP
Pay Range: $83,000 - $165,000 base salary. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.
SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
SparkCognition is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
This job is no longer accepting applications
See open jobs at SparkCognition.See open jobs similar to "Senior Full Stack Engineer" Energize Capital.