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Senior Engineer

Job in Austin, Delta County, Colorado, 81410, USA
Listing for: UST
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Austin

Who We Are

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human‑centered solutions for a better world.

Role Description Senior Engineer

We need a Senior Engineer (6+ years) to design and operate enterprise‑grade Java services with strong observability. Must have deep Splunk/SPL, Open Telemetry instrumentation, Kubernetes/cloud experience, and hands‑on SRE practices (SLOs, incident response, postmortems). Prefer experience with Terraform, Kafka, and JVM tuning.

The Opportunity
  • Standardize telemetry, build actionable dashboards/s, reduce noise, and improve availability/performance.
  • Infrastructure automation using Terraform, Helm, or similar tools.
  • Mentor junior engineers and contribute to continuous improvement.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What You Need
  • 7+ years professional software engineering experience, primarily in Java (8/11/17), Spring/Spring Boot, REST APIs, and asynchronous messaging (Kafka/Rabbit

    MQ/SQS).
  • Strong Splunk expertise: data onboarding, parsing (props/transforms), SPL queries, dashboards, notables, and performance tuning; familiarity with ES/ITSI is a plus.
  • Solid grounding in Observability stacks: metrics (Grafana, Prometheus/Open Metrics), tracing, logging (structured JSON, ECS conventions).
  • Proven experience operating distributed systems at scale in cloud environments (AWS/Azure/GCP) with container orchestration (Kubernetes/EKS/AKS/GKE).
  • Hands‑on with SRE fundamentals: SLI/SLO design, error budgets, incident management, postmortems, runbook creation, and toil reduction via automation.
  • Proficiency in CI/CD (Git Hub Actions, Jenkins, Azure Dev Ops, Git Lab CI) and Infrastructure as Code (Terraform/Helm).
  • Data stores:
    Postgre

    SQL/MySQL, Redis, Cassandra, ELK, Elasticsearch/Open Search.
  • Excellent communication skills and the ability to influence cross‑functional teams.
  • Experience in .NET applications, Python, AI etc will be added advantage.
  • Master’s degree in software related subjects.
  • Hands‑on experience with Docker and containerization best practices.
  • Strong expertise in Kubernetes on Bare Metal (KOB).
  • Experience with CI/CD pipelines (Azure Dev Ops, Git Hub Actions, Git Lab CI, Jenkins).
  • Strong understanding of application and infrastructure security.
  • Experience implementing API security (OAuth2, OIDC, JWT, RBAC).
  • Familiarity with container and Kubernetes security best practices.
  • Knowledge of OWASP Top 10, vulnerability scanning, and secure coding standards.
  • Ability to collaborate with security teams on compliance and risk mitigation.
  • Strong problem‑solving skills and attention to detail.
  • Excellent communication and collaboration skills in a global delivery environment.
  • Customer‑centric mindset with ownership and accountability.
  • Demonstrated alignment with positive values, culture, and ethical standards.
  • Experience working in large‑scale enterprise or regulated environments.
  • Exposure to cloud platforms (Azure, AWS, or GCP) alongside on‑prem/bare‑metal deployments.
  • Knowledge of service mesh, API gateways, or zero‑trust architecture.
  • Experience with SRE practices, SLAs/SLOs, and reliability engineering.
  • Proficiency in project management tools like JIRA, Service‑Now.
  • Ability to manage, motivate, and direct cross‑functional teams effectively.
  • Excellent written and oral communication, presentation, and stakeholder management skills.
  • Flexibility to adapt to challenges and work in periods of ambiguity, converting them into structured direction.
  • Typically requires 10+ years of related experience in a professional role with a Master’s degree or PhD in computer science or Data Science or AI related fields.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location

Texas

Compensatio…
Position Requirements
10+ Years work experience
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