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Staff Engineer, AWS

Job in Denver, Denver County, Colorado, 80230, USA
Listing for: TriSearch
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AWS, Cloud Engineer - Software, DevOps, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below
Staff Software Engineer

Location: Remote (U.S.) or Hybrid – Denver, CO (2 days onsite per week)

About the Opportunity

We are partnering with a growing technology company in the automotive software space to identify a Staff Software Engineer who will play a key role in advancing its cloud-based platform, building AI-powered solutions, and driving engineering excellence across the organization.

This is a highly hands-on technical leadership opportunity for an experienced engineer who enjoys building scalable software, solving complex technical challenges, and implementing modern technologies. The ideal candidate brings a strong background in AWS cloud architecture, software development, system reliability, and security, along with an interest in leveraging AI to improve engineering efficiency and business operations.

This individual will work closely with engineering teams across the organization to modernize existing systems, introduce AI-driven automation, improve platform reliability, and establish best practices for secure and efficient software delivery.

Key Responsibilities
  • Design, develop, deploy, and maintain AI-powered applications and autonomous agents using technologies such as AWS Bedrock, MCP servers, and modern LLM frameworks.
  • Build and enhance scalable, cloud-based applications utilizing AWS serverless technologies and traditional service architectures.
  • Lead initiatives to modernize legacy applications, upgrade frameworks, and improve overall platform architecture.
  • Identify, assess, and remediate security vulnerabilities across applications, dependencies, infrastructure, and cloud environments.
  • Establish and maintain engineering standards, development best practices, and secure coding guidelines across teams.
  • Improve production monitoring, observability, incident response, and overall system reliability.
  • Develop and enforce CI/CD processes, automated testing, security checks, and release management standards.
  • Implement AI-assisted development tools and workflows to improve engineering productivity and accelerate software delivery.
  • Improve visibility into third-party integrations, API performance, and system health through monitoring and anomaly detection.
  • Collaborate with engineering teams and technical leadership to solve complex problems and drive continuous improvement.
Required Qualifications
  • 6+ years of professional software engineering experience, including at least 2 years in a Senior or Staff-level engineering role.
  • Strong hands‑on experience developing, deploying, and maintaining production software applications.
  • Extensive experience with AWS cloud technologies, including serverless services such as Lambda, Event Bridge, DynamoDB, and Step Functions, as well as traditional services such as ECS, RDS, and API Gateway.
  • Proficiency in at least two of the following:
    Python, Java (Spring Boot), or Type Script/React.
  • Ability to understand, maintain, and safely modify existing PHP applications.
  • Experience with application security, vulnerability management, dependency updates, and secure software development practices.
  • Experience implementing site reliability engineering (SRE) practices, including monitoring, observability, incident response, and production support.
  • Strong understanding of CI/CD pipelines, automated testing, deployment strategies, and release management.
  • Experience with agentic AI, LLM application development, or a demonstrated ability to quickly adopt and implement emerging technologies.
  • Proven ability to establish technical standards, influence engineering practices, and collaborate across multiple development teams.
Preferred Qualifications
  • Hands‑on experience with AWS Bedrock, Agent Core, MCP servers, Lang Chain, or Lang Graph.
  • Experience with security and vulnerability…
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