Agile Release Engineer
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Job description
Be an Early Applicant In-Office Aurora, CO, USA Mid level In-Office Aurora, CO, USA Mid level Coordinates Agile release planning and execution across technical teams. Tracks scope, dependencies, risks, issues, documentation, status, and metrics while supporting integration, testing, deployment, transition activities, release readiness, and continuous process improvement. The summary above was generated by AI
XMSTART is looking to add experienced and strategic full-time Agile Release Engineers to our teams in Chantilly, VA and Aurora, CO. These positions are 100% onsite.
The Agile Release Engineer supports Agile release planning and execution by coordinating teams, managing dependencies, tracking release activities, and assisting with integration, testing, and deployment, and process improvement
Responsibilities may include but are not limited to:
- Supporting release planning, scheduling, and coordination across teams
- Tracking release scope, dependencies, risks, and issues
- Assisting with integration, testing, deployment, and transition activities
- Coordinating with technical teams and stakeholders to ensure release readiness
- Maintaining release documentation, status, and metrics
- Supporting process improvement and continuous delivery practices, Leads Agile Release Train activities for an autonomous distributed tracking system. Manages Agile practices, program increments, Jira workflows, backlogs, dependencies, milestones, metrics, and cross-team alignment. Facilitates planning and backlog events, improves processes and throughput, supports Waterfall-to-Agile transitions, coordinates stakeholders, and develops documentation and recommendations. The role is onsite in Boulder, Colorado, requires an active Secret clearance, and includes up to 10% travel. Top Skills: CameoConfluenceDoorsJIRAKanbanMS OfficeMicrosoft ProjectModel-Based Systems Engineering (Mbse)Scaled Agile Framework (Safe)Scrum Enverus
Territory Manager, Business Relations - 26390
25 Minutes Ago In-Office or Remote 2 Locations 80K-175K Annually Senior level 80K-175K Annually Senior level Big Data * Information Technology * Software * Analytics * Energy Territory Manager responsible for selling enterprise SaaS solutions, developing executive and partner relationships, managing pipelines, qualifying opportunities, and achieving revenue targets. The role includes consultative selling, account retention and upselling, business case development, tailored presentations, sales pursuit leadership, CRM and database maintenance, and aligning Enverus solutions with customer objectives. Energy industry experience and knowledge of owner relations, JIB, and revenue processes are preferred. Top Skills: Generative AiMicrosoft AccessExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSaaSSalesforce Applied Systems, Artificial Intelligence * Cloud * Payments * Software * Business Intelligence * Generative AI * Automation
Requirements
- An active TS/SCI with Poly
- Junior - 0 to 5 years of Experience, Intermediate - 5 to 10 years of Experience, Senior - 10+ years of experience
- Experience in release management, software delivery, systems integration, or a related field
- Understanding of Agile methods and iterative delivery practices
- Strong coordination, organization, and communication skills
- Familiarity with testing, deployment, and configuration management practices, Develop and lead complex AI and data science solutions, shape AI technical strategy, research emerging technologies, resolve large-scale technical problems, and guide cross-functional teams. The role focuses on scalable data solutions, machine learning, deep learning, large language models, generative AI, NLP, computer vision, Python, and Vertex AI. It requires a bachelorβs degree and at least five years of progressive data analytics and data science experience.
Benefits & conditions
Remote or Hybrid United States 179K-200K Annually Senior level 179K-200K Annually, Top Skills: Computer VisionDeep LearningGenerative AiLarge Language ModelsMachine LearningNatural Language ProcessingPythonVertex Ai
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