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 are passionate about building and operating highly available production systems, we’d love to have you join our SRE team in Argentina. You will own and improve the reliability, scalability, and performance of our cloud-native infrastructure, working closely with R&D teams to build resilient services, automate operational workflows, and drive engineering excellence.
As part of the SRE team, you will help shape our production environment, improve operational maturity, and ensure our platforms can reliably support our customers and engineering teams.
We will only look at applicants local to Argentina.
What you’ll do:
- Design, optimize, and operate reliable CI/CD pipelines with a focus on deployment safety, automation, and developer velocity.
- Operate and improve Kubernetes production clusters, specifically Amazon EKS, ensuring platform reliability, scalability, security, and efficient resource utilization
- Build and maintain scalable Infrastructure as Code solutions using Terraform, improving standardization, reliability, and operational efficiency
- Research new technologies and provide overall technical direction for the team
- Identify operational gaps and drive automation initiatives to improve reliability, and increase engineering efficiency
- Partner with engineering teams to define reliability practices, deployment strategies, and operational standards
- Own SRE practices across AWS and GCP environments, including service availability, scalability, capacity planning, incident response, and continuous reliability improvements
- Build and maintain observability solutions using Datadog, including metrics, dashboards, alerting, and SLO-driven monitoring to enable proactive incident detection and response
What you’ll bring:
- 5+ years of experience in DevOps or Site Reliability Engineering roles, with a strong focus on operating and improving production environments.
- Hands-on experience managing Kubernetes in production environments, specifically EKS, including cluster operations, troubleshooting, deployments, scaling, networking, and workload management.
- Hands-on experience operating production cloud environments, especially AWS and GCP, including compute, networking, security, scalability, and troubleshooting.
- Strong understanding of software delivery lifecycle, cloud-native architectures, SRE principles, CI/CD, Kubernetes operations, automation, and reliability best practices.
- Understanding of SRE concepts such as SLIs, SLOs, error budgets, capacity planning, and operational excellence.
- Experience designing and managing production-grade monitoring, alerting, and observability strategies.
- Experience with incident management, troubleshooting production issues, root cause analysis, and implementing reliability improvements.
- Experience in Python/Bash/Groovy
- Experience with at least one of Jenkins, GitLab CI, or GitHub Actions
- Experience working with production databases, especially MongoDB, as well as relational and non-relational database platforms
- Hands-on experience with Terraform (preferably managed via env0 or similar tooling)
- Strong communication skills with the ability to collaborate across teams, document technical solutions, and drive reliability improvements
- 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.
Must be able to exercise independent judgment with little or no oversight.
BigID is an E-Verify Participant.