Senior Backend Platform Engineer

3 Weeks ago • 8 Years + • Devops

Job Summary

Job Description

As a Senior Backend Platform Engineer, you will be responsible for designing, developing, maintaining, troubleshooting, and implementing Big Data architecture. Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems. You will implement data processing pipelines using Kafka, optimize and manage search capabilities using Elastic technologies, collaborate with stakeholders to gather requirements, oversee code reviews, and stay up-to-date with emerging technologies. You will also troubleshoot and resolve issues to minimize downtime and ensure system reliability.
Must have:
  • 8+ years of software engineering experience.
  • 5+ years of experience with Elasticsearch and message queuing.
  • Proficiency in Node.js/Java programming
  • Strong understanding of data modeling and ETL.
Good to have:
  • Experience with Docker, Kubernetes
  • Experience with cloud platforms (e.g., AWS or Azure)
Perks:
  • Equity participation
  • Flexible work arrangements
  • Dog-friendly environment, fully stocked fridge, gym, and exercise classes, weekly Happy Hours, free parking, evening meals
  • Knowledge training & Career development tracks

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 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:

We’re looking for a Senior Backend Platform Engineer to join our Data Platform team. The ideal candidate will have extensive experience with data engineering, specifically with Kafka and Elasticsearch, to design and maintain our data platforms. You will work closely with cross-functional teams to ensure the scalability and reliability of our data solutions.

Job Summary:
As a Senior Backend Platform Engineer, you'll be responsible for design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems.

What you’ll do:

  • Implement data processing pipelines using Kafka for real-time data streaming.
  • Optimize and manage search capabilities using Elastic technologies.
  • Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
  • Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
  • Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
  • Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.

 

What you’ll bring:

  • Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • 8+ years of experience in the software engineering field. 
  • 5+ years of experience in big data technologies, with a focus on Elasticsearch and Message queuing technologies (like Kafka/SQS/RabbitMQ).
  • Proficiency in Node.js (Nest.js, TypeScript) / Java programming and experience with related frameworks.
  • Strong understanding of data modeling, ETL processes, and data warehousing.
  • Excellent problem-solving abilities and strong analytical skills.
  • A solid understanding of CI/CD principles.
  • Experience working with both external and in-house APIs and SDKs 

Advantages:

  • Experience with Docker, Kubernetes
  • Experience with cloud platforms (e.g., AWS or Azure) 

What’s in it for you?!

Our people are the foundation of our success, and we prioritize 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 workdays, etc.
  • Office perks: dog-friendly environment, fully stocked fridge, gym, and exercise classes, weekly Happy Hours, free parking, evening meals
  • Knowledge training & 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

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.

CPRA Employee Privacy Notice: CA 

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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