Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Overview
We’re looking for a Senior Elastic Platform Engineer to own and evolve our multi-domain Elastic environment supporting enterprise-scale data, observability, and analytics workloads.
This is not a ticket-driven support role: you’ll be responsible for scaling, optimizing, and operating Elastic as a shared platform across multiple business domains, balancing performance, cost, data isolation, and reliability. You’ll work at the intersection of DevOps, SRE, and data platform engineering to ensure Elastic remains a high-performing, trusted system under real-world pressure.
This role is onsite three days per week and based out of our Westminster, CO office. This role will occasionally be required to work from our Longmont, CO office.
What You’ll Own
Platform Architecture & Scale
Partner with engineering leads and architects to evolve Vantor’s multi-tenant, multi-domain Elastic environments
Make critical decisions on:
cluster sizing and topology
shard strategy and index design
cross-cluster search and replication
Optimize for performance, resiliency, and cost at scale
Data & Ingest Strategy
Build and maintain ingestion pipelines (Beats, Logstash, Kafka, etc.)
Define and enforce:
index lifecycle management (ILM)
data retention strategies
mapping and schema governance
Solve real-world problems like noisy data, mapping explosions, and high-ingest workloads
Reliability & Operations (SRE Mindset)
Own the “ilities”: availability, scalability, reliability, and maintainability
Troubleshoot complex cluster issues:
shard imbalance
memory/heap pressure
query latency
Drive improvements proactively—not just react to incidents
Platform Engineering & Automation
Treat Elastic as infrastructure-as-a-product
Automate deployment and operations using:
Terraform / Infrastructure-as-Code
Kubernetes (EKS or similar) and Helm
Build repeatable, scalable patterns for onboarding new teams and domains
Collaboration & Influence
Partner with DevOps, Data Engineering, and application teams
Help define standards, guardrails, and best practices for platform usage
Act as a technical leader in shaping observability and data platform strategy while uplifting peers and colleagues along the way
What We’re Looking For
Core Experience
6–10+ years in DevOps, SRE, or platform engineering
Deep, hands-on experience operating Elasticsearch at scale, not just using Kibana but running clusters in production
Proven experience supporting multiple teams or business domains on shared infrastructure
Elastic Expertise
You’ve dealt with:
shard sizing and rebalancing tradeoffs
index lifecycle management (hot/warm/cold tiers)
cross-cluster replication/search
performance tuning (heap, GC, query optimization)
data modeling and mapping strategy
DevOps / Platform Engineering Depth
Strong experience with:
Kubernetes and Helm
Terraform or similar IaC tools
CI/CD pipelines
Proficiency in scripting (Python, Bash, or similar)
Experience building and operating systems in AWS (EC2, S3, EKS, IAM, etc.)
Systems Thinking
You think in systems, not tools
You’ve designed solutions that balance:
performance vs cost
flexibility vs governance
isolation vs shared infrastructure
Requirements
U.S. Citizenship required
Active U.S. Security Clearance at Secret level
Bachelor’s degree in Computer Engineering/Science or equivalent experience
Bonus Points
Experience with monitoring and observability ecosystems (Prometheus, Grafana, Zabbix)
Background in SIEM or security analytics using Elastic
Experience with large-scale data platforms or lakehouse architectures
AWS or cloud certifications
Why This Role Is Different
You’ll own a real platform, not just maintain a cluster
You’ll solve multi-domain, enterprise-scale problems
You’ll have the autonomy to influence architecture, standards, and strategy
You’ll work alongside engineers who care about building systems the right way
Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
● The base pay for this position within Colorado is: $102,000.00 - $170,000.00 annually.For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Top Skills
Vantor Westminster, Colorado, USA Office
1300 W 120th Ave, Westminster, CO, United States, 80234
Vantor Colorado Springs, Colorado, USA Office
1975 Research Parkway, Suite 315 , Colorado Springs, CO, United States, 80920
Vantor Denver, Colorado, USA Office
Denver, CO, United States
Vantor Longmont, Colorado, USA Office
1601 Dry Creek Drive, Longmont, CO, United States, 80503
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