Software Engineer Backend & Data
US Eastern States
Armis is looking for a few of the very best people in their field to join our A-team of big thinkers, doers, movers, and shakers. This unique opportunity truly offers the best of all worlds—start up culture, enterprise level benefits and security, and top pay for the industry. Got your attention yet? Good, keep reading, it only gets better.
Ok, so what exactly does Armis do?
Connected assets are growing at an explosive rate, across every industry and every geo. In today’s world of smart devices and BYOD, these assets come from every direction and are found in every possible environment and industry. And they’re critical to success for every enterprise. And because every single asset represents a very real potential vulnerability, they’re also the last line of defense against today’s sophisticated cyber criminals.
Armis gives companies of every size—across every industry and geo—complete asset visibility, contextual intelligence, and continuous security. We have partnerships and integrations with the planet’s leading tech and cybersecurity players. And we’re building an incredibly smart and diverse global team of thought-leading technologists, creative visionaries and proven game changers who are ready to take Armis to the next level.
Location: This is a 100% remote position and we are considering candidates from any major city EST; CST or MST timeZones
Overview:
We are seeking a highly skilled and motivated Software (Data oriented) Engineer to join our dynamic team. This role will sit within the Silk (by Armis) team, our exciting new acquisition, that continues to grow and delight customers. Silk (by Armis) is tackling and solving the biggest pain points in the cyber security industry today- prioritization of vulnerabilities and managing the resolution process - all while taking a very novel and revolutionary approach to these daunting problems. You will play a critical role in designing, developing, and maintaining our data infrastructure to support the analysis and processing of large-scale data sets (and we mean LARGE). This position offers an exciting opportunity to work at the forefront of cybersecurity, leveraging cutting-edge technologies and methodologies to drive actionable insights from diverse data sources.
What you’ll do:
- Design, build, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
- Develop robust ETL processes to extract, transform, and load data from various sources into our data warehouse.
- Collaborate with cross-functional teams to understand data requirements and implement solutions to address business needs.
- Optimize data processing workflows for performance, reliability, and scalability.
- Implement data quality monitoring and validation processes to ensure accuracy and consistency of data.
- Work closely with software engineers to integrate data-driven features and functionalities into our products and services.
- Stay abreast of emerging technologies and best practices in data engineering, and propose innovative solutions to enhance our data infrastructure.
Minimum Requirements:
- US Citizen - Required
- 5+ years experience as a Software Engineer or similar role, with a focus on building data pipelines and infrastructure.
- Proficiency in Python programming and experience with relevant libraries and frameworks for data processing is required (e.g. Pydantic, MongoDB, FastAPI, Redis, Pandas, NumPy, Spark). - Required
- 3+ years experience with MongoDB and larger data sets is required i.e. Terabyte's - Required
- Strong understanding of database systems, with experience in designing and optimizing queries.
- Hands-on experience with cloud platforms, particularly AWS (Amazon Web Services), and familiarity with services such as S3, ECS, SQS.
- Experience working with large-scale distributed systems and parallel processing frameworks.
- Solid understanding of data modeling concepts and techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Salary range guidance for this position is: $163,000- $210,00.00
The salary range listed does not include other forms of compensation or benefits (e.g. i.e. stipend for transit/parking, bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.
The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.
Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.
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Restrictions100% remote Remote position US Citizens only
Benefits/PerksBonuses Enterprise level benefits Enterprise level benefits and security Fully remote Global team Health insurance Remote work Startup culture Top pay Top pay for the industry
Tasks- Collaborate with teams
- Design and maintain data pipelines
- Develop ETL processes
- Implement data quality monitoring
- Integrate data features
- Optimize data workflows
AWS Cloud platforms Collaboration Communication Compliance Cybersecurity Cyber Security Database Systems Data engineering Data processing Data Quality Monitoring ETL FastAPI MongoDB Monitoring Numpy Pandas Problem-solving Python Redis Security Spark
Experience5 years
Education Timezones