Site Reliability Engineer

4 Weeks ago • 5-7 Years • Devops

Job Summary

Job Description

BigID is seeking a Site Reliability Engineer to join their DevOps team in Argentina. The role focuses on improving production infrastructure, building advanced build processes, automation methodologies, and tools for containerized and microservices-based R&D platforms. The engineer will work closely with the R&D team, focusing on CI/CD, Kubernetes infrastructure development, Terraform module enhancement, and cloud-native technologies on AWS and GCP. Responsibilities include owning SRE duties, managing infrastructure as code, and designing monitoring solutions with Datadog. The ideal candidate should be self-motivated, a problem-solver, and contribute to a collaborative and innovative team environment.
Must have:
  • 5-7 years of DevOps experience
  • Hands-on Kubernetes and Docker experience
  • Experience with Python, Bash, or Groovy
  • Solid understanding of SDLC, Agile, DevOps, CI/CD
  • Experience with Jenkins, GitLab CI, or GitHub Actions
  • Experience with Jira, Confluence, Git
  • Experience with AWS and GCP
  • Hands-on Terraform experience
  • Experience with Datadog
  • Excellent communication skills
  • Ability to learn independently
Good to have:
  • Experience in REST API automation

Job Details

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 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 in Argentina. DevOps is responsible for the R&D platforms, which are based on containers and microservices. 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 and debug on top of the Kubernetes infrastructure
  • Improve our cloud-native Terraform modules
  • Research new technologies and provide overall technical direction for the team
  • Plan and push to close the automation backlog
  • Communicate with teams across the organization on testing strategy and design
  • Propose improvements to the testing process to decrease defects found in production
  • Work closely with R&D teams in an Agile environment
  • Own SRE responsibilities for our AWS and GCP environments, including ensuring the availability, scalability, and reliability of production services
  • Manage and evolve infrastructure as code using env0 for Terraform workflows
  • Design and implement monitoring, metrics, and dashboards using Datadog to ensure observability and proactive incident management

What you’ll bring:

  • 5-7 years of experience as a DevOps Engineer
  • Must have hands-on experience in Kubernetes and Docker
  • Experience in Python/Bash/Groovy
  • 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, AWS, Dockers, relational and non-relational DBs
  • Experience working with AWS and GCP cloud platforms in a production environment
  • Hands-on experience with Terraform (preferably managed via env0 or similar tooling)
  • Experience with Datadog for building monitoring solutions, metrics, and dashboards
  • 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-Hybrid

#LI-AR1

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.

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About The Company

BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control.


Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources

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