Service Delivery Engineer

1 Month ago • 1-2 Years

Job Summary

Job Description

The Service Delivery Engineer will work closely with client stakeholders to determine technical requirements, plan implementation engagements, deploy solution components, and participate in product configuration efforts to meet client-specific requirements. They will engage with internal and client teams to ensure the smooth rollout of BigID solutions and successful integration within customers’ environments. The role also involves delivering training, documenting product issues, and suggesting improvements, ensuring successful customer deployments and issue resolution.
Must have:
  • 1-2 years in a customer-facing role.
  • Understand operational parameters and troubleshooting.
  • Experience in Docker and Kubernetes deployments.
  • Experience with DBs such as MongoDB, SQL Server etc.
  • Experience with cloud offerings: AWS, Azure or GCP.
  • Experience with REST API.
  • Programming or scripting skills with Java or Python.
Good to have:
  • Experience with Hadoop (HIVE/Spark).

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:

BigID is growing, and we are expanding our Services Team and seeking a Service Delivery Engineer. The services team plays an important role in the successful setup, integration, and deployment of BigID's discovery tools, for our customers and implementation partners. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer.

What you’ll do:

  • Work closely with client stakeholders to determine technical requirements for specific business objectives at hand
  • Plan implementation engagements, deploy solution components, and participate in the product configuration efforts to meet clients’ specific requirements
  • Engage with multi-discipline internal and client teams to ensure smooth rollout of BigID solutions and successful integration within customers’ environments
  • Deliver training for respective technologies at an applicable level of depth and detail for a given audience
  • Work closely with our Engineering and Product Management teams to document product issues, enhancement requests raised in the field, and possible implementation flow improvements

What you’ll bring:

  • Experience in information technology, with at least 1-2 years in a customer-facing role – preferably involved in product implementation and hands-on technical activities within enterprise corporate environments
  • Understand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, Databases, DevOps, Big Data and Analytics, Security, Applications Development
  • Advanced experience in problem identification, system architecture definition, hardware/software specification and/or design, implementation, testing, client training and solution deployment
  • A proactive approach in understanding internal and customers business challenges
  • Professional experience in Docker and Kubernetes deployments.  
  • Meaningful  experience with some DBs, such as MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2
  • Professional experience with cloud offerings such as AWS, Azure or Google Cloud Platform
  • Experience with Hadoop (HIVE/Spark)
  • Experience with REST API
  • Programming or scripting skills with Java or Python

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

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.

  • Flexible work arrangements 
  • Other compulsory benefits based on country of residence

#LI-Remote

#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.

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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