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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads application and software engineering teams supporting Oracle Fusion Cloud and core Finance SaaS applications. Oversees finance transformations, integrations, automation, architecture, reliability, quarterly Fusion upgrades, and company-wide initiatives. Partners with Finance and Engineering stakeholders, drives metrics and OKRs, maintains SOX compliance, leads code reviews and complex problem resolution, and advances AI/ML and continuous improvement across critical financial systems.
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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides strategic technical consulting to enterprise customers using Atlassian Cloud, AI, and related solutions. Responsibilities include solving business challenges, developing prescriptive technical guidance, supporting cloud migrations, designing AI proof-of-concept solutions, promoting service expansion, advocating for customer needs, and collaborating across internal teams. The role requires customer-facing expertise, strong knowledge of Atlassian ecosystems and SaaS architectures, and up to 30% domestic and international travel.
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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; manage AI risk, privacy, and compliance; mentor engineers; and align technical solutions with business objectives.
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Agent-Based FrameworksAPIsAtlassian IntelligenceGdprGenerative AiJavaScriptLarge Language Models (Llms)MicroservicesPythonRovo Ai
Investigate incidents, hunt threats, build detection and response automation, improve logging and visibility, lead complex investigations, conduct root cause analysis, and mentor teammates while shaping threat detection processes.
About the Role
We are looking for a Senior Security Engineer to join a front-line Threat Detection and Response team. The team detects, investigates, and responds to internal and external security threats. You will help shape and carry out the team’s detection and incident response strategy. You will build automation that scales, mentor teammates, and work with partners across the organization to remove whole categories of security risk.
Key Responsibilities
- Investigate security incidents using digital forensics and data analysis.
- Proactively hunt for threats and unusual activity across corporate and production environments.
- Build automation and detection models that identify unusual activity and speed up response at scale.
- Work with engineering teams to design and deliver advanced detection solutions.
- Find visibility gaps in infrastructure and work with partners to close them through better logging and detection.
- Lead complex investigations alongside cross-functional partners, including Legal, Privacy, and Engineering.
- Use lessons from incidents and root cause analysis to drive lasting security improvements.
- Mentor team members and help define the team’s detection and response processes.
Qualifications
Required
- 5+ years of hands-on experience in security operations, including one or more of the following: investigations, incident response, incident management, digital forensics, threat intelligence, threat hunting, or detection engineering.
- Proficiency in Python or another scripting language. Experience with SQL and Pandas is a plus.
- Experience automating security detection and response.
- Working knowledge of the Cyber Kill Chain and MITRE ATT&CK frameworks and how they apply to the current threat landscape.
- Ability to lead through influence in complex, ambiguous situations.
- Ability to stay calm, collaborative, and decisive in high-pressure situations.
- Strong organization, prioritization, and multitasking skills.
- A self-motivated, creative problem-solver who works well independently.
Preferred
- Familiarity with Elasticsearch.
- Experience with AWS services such as EC2, S3, Lambda, and RDS.
Key Details
- Start Date: November 17, 2026
- Duration: 12 months
- Location: Remote (within the U.S.)
- Work Schedule: Full-time, 40 hours per week (Monday-Friday)
- Pay Rate: $120-$137/hour + benefits
- Work Authorization: Must be authorized to work in the U.S. without sponsorship.
- Engagement: W-2 Contract
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
