DevOps Engineer

7 Hours ago • 4 Years + • DevOps

About the job

Summary

BigID seeks a DevOps Engineer to enhance its production infrastructure and build processes. Responsibilities include advancing CI/CD pipelines, developing and debugging Kubernetes infrastructure, improving Terraform modules, researching new technologies, automating processes, collaborating with R&D teams in an Agile environment, and refining testing strategies. The ideal candidate possesses 4+ years of DevOps experience, expertise in Python/Bash/Groovy, and knowledge of CI/CD, Kubernetes, AWS, Terraform, MongoDB, Elasticsearch, Git, Docker, and various databases. Excellent communication skills are essential.
Must have:
  • 4+ years DevOps experience
  • Python/Bash/Groovy expertise
  • CI/CD, Kubernetes knowledge
  • AWS, Terraform, MongoDB experience
  • Excellent communication skills
Good to have:
  • Rest API automation
  • Testing methodologies
Perks:
  • Equity participation
  • Flexible work arrangements
  • Dog-friendly office
  • Fully-stocked fridge
  • Gym and exercise classes
  • Weekly Happy Hours
  • Free parking
  • Evening meals
  • Knowledge training
  • Career development tracks
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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 2024 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 Of 2024 (2 years running)
  • DUNS 100 Best Tech Companies to Work For in 2024
  • 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’re looking for an Engineer to join our DevOps team in the heart of Tel Aviv.
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, innovating creative solutions, and continually improving company processes and culture.

What you’ll do:

  • Take our CI/CD to the next level
  • Develop and debug on top of Kubernetes infrastructure
  • Improve our cloud-native terraform modules 
  • Research new technologies and provide overall technical direction for the team
  • Plan and push closing 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

What you’ll bring:

  • 4+ years of experience as a DevOps Engineer 
  • 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 AWS, Terraform, MongoDB, Elasticsearch, Git, Docker, and 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 
  • Fluent in Hebrew and English

Advantages:

  • Experience in Rest API automation and testing methodologies 

What’s in it for you?!

Our people are the foundation of our success, and we place a high priority on offering a wide range of benefits that make our team happier and healthier.

  • Equity participation - everyone shares in our success
  • Flexible work arrangements - for parents, for remote work days, etc.
  • Office perks: dog-friendly environment, fully-stocked fridge, gym and exercise classes, weekly Happy Hours, free parking, evening meals
  • Knowledge training and career development tracks

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-AT1

BigDiversity: We’re committed to creating a culture of inclusion, diversity, and equality – across race, gender, sexuality, disability, and neurodiversity – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.

CPRA Employee Privacy Notice: CA 

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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