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# Professional Services Engineer

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/bigid.md)Share31 Aug 2026Published50Listing views2Application actions30 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryBigID is hiring a customer-facing Professional Services Engineer to implement, configure, integrate, and troubleshoot its data discovery platform for enterprise customers and partners. The role owns technical delivery across the solution lifecycle, from requirements gathering and architecture through deployment, testing, training, and issue resolution. It requires hands-on infrastructure and cloud expertise, including Docker, Kubernetes, databases, REST APIs, and Java or Python. The engineer will collaborate closely with client stakeholders as well as BigID Engineering and Product teams to improve implementations and resolve field issues. This is a remote US East Coast role requiring substantial independent judgment and strong client communication.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe role combines enterprise implementation, infrastructure troubleshooting, cloud/container deployment, database knowledge, and customer-facing delivery. It also requires independent ownership of complex deployment issues and coordination across customers and internal product teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$100,000US market range$90k–$125k0$138k

AI insightThe disclosed annual USD base-salary range is $90,000 to $110,000, producing a job-offer median of $100,000. A typical US market range for a Professional Services Engineer with 3+ years of enterprise SaaS implementation, cloud, Kubernetes, and customer-facing delivery experience is approximately $90,000 to $125,000 annually; bonus and equity may add to total compensation but are not quantified.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Professional Services](https://jobicy.com/jobs?search_keywords=Professional%20Services.md)[Enterprise SaaS Implementation](https://jobicy.com/jobs?search_keywords=Enterprise%20SaaS%20Implementation.md)[Customer-Facing Engineering](https://jobicy.com/jobs?search_keywords=Customer-Facing%20Engineering.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Cloud Platforms](https://jobicy.com/jobs?search_keywords=Cloud%20Platforms.md)[Database Administration](https://jobicy.com/jobs?search_keywords=Database%20Administration.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[Java or Python](https://jobicy.com/jobs?search_keywords=Java%20or%20Python.md)[Technical Troubleshooting](https://jobicy.com/jobs?search_keywords=Technical%20Troubleshooting.md)

Sample interview questionsDescribe an enterprise software implementation you led from discovery through production deployment.I would explain how I gathered stakeholder requirements, assessed the existing environment, designed the deployment approach, configured and validated the solution, trained administrators, and managed post-launch stabilization. I would emphasize measurable outcomes such as adoption, reduced deployment time, or successful resolution of integration risks.

How would you troubleshoot a BigID deployment that cannot connect to a customer data source?

I would first confirm the error scope and reproduce or review logs, then validate network connectivity, DNS, ports, credentials, permissions, certificates, and source-specific configuration. I would isolate whether the issue is in the platform, container environment, customer network, or source system, document findings, and engage Engineering with concise evidence if product-level investigation is needed.

What is your approach to deploying and supporting applications on Kubernetes?

I would use repeatable deployment manifests or Helm-based workflows, validate cluster capacity and networking, securely manage configuration and secrets, and monitor pod health, events, logs, and resource utilization. For issues, I would assess failed scheduling, image pulls, configuration errors, service connectivity, and persistent-storage dependencies before escalating.

How do you tailor technical training for both system administrators and executive stakeholders?

For administrators, I focus on practical workflows, configuration decisions, troubleshooting, and hands-on exercises. For executives, I focus on business outcomes, implementation status, risks, adoption measures, and how the platform supports security, privacy, and compliance objectives.

Give an example of exercising independent judgment during a customer escalation.

I would describe prioritizing the customer impact, quickly collecting technical facts, proposing a low-risk mitigation, and communicating a clear action plan without waiting for unnecessary approvals. I would also explain how I kept stakeholders informed, involved the appropriate internal teams for root-cause analysis, and documented preventive improvements after resolution.

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.

About the Role:

BigID’s Services team is central to how our customers succeed — we own the setup, integration, and deployment of BigID’s discovery tools for customers and implementation partners. As a Services Delivery Engineer, you’ll be the technical backbone of that experience: translating customer requirements into working solutions, troubleshooting deployment issues at their root cause, and partnering with Engineering and Product to make every future rollout smoother than the last.

Who we seek:

BigID is growing quickly, and we are expanding our Services team and seeking a Professional Services Engineer in the EST time zone. 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:

* Partner directly with client stakeholders to understand technical requirements and align them to business objectives
* Plan and lead implementation engagements — deploying solution components and configuring the product to meet each client’s specific environment
* Collaborate across internal teams and client organizations to ensure smooth rollout and successful integration of BigID solutions
* Deliver technical training tailored to the audience, from hands-on admins to executive stakeholders
* Identify root causes of deployment issues and drive them to resolution
* Work closely with Engineering and Product Management to document field issues, enhancement requests, and opportunities to improve the implementation process

What you’ll bring:

* 3+ years in a customer-facing technical role, ideally in product implementation or hands-on deployment within enterprise environments
* Solid troubleshooting and operational knowledge across some combination of: Compute, Storage, Networking, Databases, DevOps, Big Data/Analytics, Security, and Application Development
* Proven experience across the full solution lifecycle: problem identification, system architecture, hardware/software specification and design, implementation, testing, client training, and deployment
* A proactive mindset — you look around corners for both internal and customer challenges before they become blockers
* Hands-on experience with Docker and Kubernetes deployments
* Working knowledge of one or more databases: MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, or IBM DB2
* Experience with a major cloud platform: AWS, Azure, or Google Cloud Platform
* Experience working with REST APIs
* Programming or scripting proficiency in Java or Python

Nice to have:

* Familiarity with Hadoop (Hive/Spark)
* Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools.
* Prior SaaS implementation experience

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

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.

The annual base salary range is $90,000 – $110,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

BigBenefits:

💻 Work from home with a global remote-first community

Global Culture Corner

Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance

📚 Learning & Development Opportunities

Fidelity Employer Sponsored 401K

Paid Parental Leave

#LI-Remote

#LI-YD1

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](https://www.linkedin.com/company/bigid/life/1ebcf6b2-34ec-4fda-b860-8390551a5f57/?viewAsMember=true).

[Job Candidate Privacy Notice](https://bigid.com/job-candidate-privacy-notice/)

Must be able to exercise independent judgment with little or no oversight.

BigID is an E-Verify Participant.

Show more

[Apply now >](https://jobicy.com/jobs/152173-professional-services-engineer.md)

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