Who we are:
BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.
We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for:
- BigID named one of Forbes America's Best Startup Employers 2026 - ranked #15 overall and #1 in Security
- BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
- Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
- CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
- DUNS 100 Best Tech Companies to Work for
- Top 3 Big Data and AI Vendors to Watch' in the 2023 BigDATAwire Readers and Editors Choice Awards
- 2024 Inc. 5000 list for the 4th consecutive year!
- Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity
At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.
Who we seek:
If you love working on production infrastructure you're welcome to join us! We are looking for an Engineer to join our DevOps team. DevOps is responsible for the R&D platforms which are based on containers and micro-services. Your main focus will be improving the production infrastructure and building the next-level build process, automation methodologies, and tools while working closely with the R&D team. Candidates must be self-motivated individuals who love supporting a passionate and collaborative team, solving problems, coming up with creative solutions, and continually improving company processes and culture.
We will only look at applicants local to Argentina.
What you’ll do:
- Take our CI/CD to the next level
- Develop, deploy, and optimize cloud-native infrastructure and workloads running on Kubernetes (EKS).
- Build, manage, and optimize highly available production environments on AWS.
- Improve our cloud-native Terraform modules, Research new technologies and provide overall technical direction for the team
- Develop and enhance automation and platform tooling using Python to improve operational efficiency and developer experience.
- Build and maintain monitoring, logging, and observability solutions using Datadog, ELK, and other cloud-native tools.
- Communicate with teams across the organization on testing strategy and design
- Propose improvements to engineering processes to reduce defects and improve production stability.
- Work closely with R&D teams in an Agile environment
What you’ll bring:
- 5+ years of experience as a DevOps Engineer
- Must have hands on experience in Kubernetes (EKS) and Docker
- Must have hands on experience with AWS as a cloud provider
- Experience in Python/Bash/Groovy
- Hands-on experience with Terraform
- Solid grasp of software development life cycle, best practices, and methods across multiple teams: Agile development, DevOps, CI/CD, Kubernetes, team leadership, and mainly test automation
- Experience with at least one of Jenkins, Gitlab CI, or Github actions
- Experience with Jira, Confluence, Git, Dockers, Relational and non-relational DBs
- Excellent communication skills are required for documenting and connecting with other groups
- Ability to explore and initiate new ideas, think, and learn independently
Advantages:
- Experience in REST API automation and testing methodologies
Our Values:
We look for people who embody our values - Care, Do, Try & Shine.
- Care - We care about our customers and each other
- Do - We do what it takes to make a positive impact
- Try- We try our best and we don’t give up
- Shine- We shine and make it our mission to always stand out
#LI-Remote
#LI-AT1
We’re committed to creating a culture of inclusion and equality – across race, gender, sexuality, and disability – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.
Job Candidate Privacy Notice
Must be able to exercise independent judgment with little or no oversight.
BigID is an E-Verify Participant.
Skills Required
- 5+ years of experience as a DevOps Engineer
- Hands-on experience with Kubernetes (EKS)
- Hands-on experience with Docker
- Hands-on experience with AWS
- Experience with Python, Bash, or Groovy
- Hands-on experience with Terraform
- Solid understanding of SDLC, Agile, DevOps, CI/CD, test automation
- Experience with at least one CI system: Jenkins, GitLab CI, or GitHub Actions
- Experience with Jira, Confluence, and Git
- Experience with relational and non-relational databases
- Excellent communication and documentation skills
- Ability to explore, initiate new ideas, and work independently
- Applicants must be local to Argentina
- Experience in REST API automation and testing methodologies
What We Do
BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and governance. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data. We are building a global team with a passion for innovation and next-gen technology. BigID has been recognized for being one of CNBC’s Top 25 Startups powering the economy, we're on Built In's 2023 Best Places to Work, #21 on the 2022 Deloitte 500 (most innovative, fastest-growing companies in North America) and we’re on the 2022 Inc 5000.
Why Work With Us
At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.
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