Largeton Group

Role Role: Agile Transformation Coach Location: Onsite Washington, DC Duration: 6 months MOI: Video Key Must-Haves Overall IT Experience: 12-15 years SAFe 6 Practice Consultant (SPC) Certification Job Description As an Agile Transformation Coach for a client in Washington, D.C., you will lead and drive large-scale Agile transformations within a complex SAP ecosystem, leveraging the SAFe (Scaled Agile Framework) methodology. Your role will involve coaching, training, and advising teams and leadership on Agile practices, fostering a collaborative and continuous improvement culture, and working closely with stakeholders to enhance Agile adoption and measure its effectiveness. Responsibilities Deliver and certify SAFe 6 courses across various roles (SA, SP, RTE, SSM, SASM, etc.) and facilitate SAFe Collaborate. Collaborate with leadership to implement OKR frameworks for progress and performance tracking. Drive Agile transformation within the SAP ecosystem (S/4 Hana), emphasizing Lean-Agile practices and SAFe methodology. Advise on Agile operating models and governance structures. Conduct AgilityHealth maturity assessments, recommend growth strategies, and facilitate related workshops. Provide coaching and mentorship to leaders, teams, and functions on SAFe practices. Serve as a role model in Agile values and principles, exemplifying success patterns. Facilitate key LPM (Lean Portfolio Management) and ART (Agile Release Train) events. Support Agile tool implementation and adoption, including SAFe for Enterprise, AgilityHealth, and Atlassian tools (Jira Align, Confluence). Develop Lean-Agile training materials and onboard new team members. Champion Communities of Practice to encourage Agile cross-functional learning. Identify and resolve organizational impediments to improve team productivity and quality. Develop and monitor Agile adoption metrics to track and accelerate transformation. Cultivate an environment that supports autonomy, transparency, continuous learning, and innovation. Foster lean thinking to improve flow, reduce cycle times, and minimize inefficiencies. Qualifications SAFe 6 Practice Consultant (SPC) Certification. Minimum of 6 years' experience coaching Agile teams. 5+ years in engineering, IT, or related fields. Experience guiding Agile portfolios, budgeting, and transitioning from Waterfall to Agile in regulated environments. Proficiency in Agile tools (Jira, Confluence, AgilityHealth). Strategic thinker with strong communication, presentation, and facilitation skills. Quarterly travel along the Northeast corridor for PI Planning events.

Job Summary (List Format) Position: Machine Learning Engineer (ML Engineer) Key Responsibilities Operate and maintain ML pipelines built on Quickflow Optimize and automate ML workflows Scale ML infrastructure to support more customers Release new ML models on a weekly basis Collaborate closely with Data Engineers on data pipelines and APIs Own end-to-end ML infrastructure for decisioning platforms (mobile/web) Transition ML models from Reno fast models to transformer models Must-Have Skills Machine Learning Engineering (ML engineering) Recent hands-on Capital One project experience Strong Python and Scala programming skills Experience with Kubernetes for orchestration Deep knowledge of ML frameworks: TensorFlow, PyTorch, Scikit-learn Real-time data processing expertise Project Scope Work on ML decisioning platforms for campaign arbitration and UI integration Inherit and enhance existing ML data/model training pipelines Expand ML engineering capabilities within the team Focus on feature development and infrastructure scaling Team Structure ML Engineering team collaborating with Data Engineers and Software Engineers Spread across NYC and McLean, VA locations Role complements an existing Data Engineer (focus on ML engineering tasks)

1 week ago Be among the first 25 applicants This range is provided by Largeton Group. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $60.00/yr - $70.00/yr Job Summary (Senior Storage Engineer): Walnut Creek, CA Serve as a subject matter expert in storage engineering with a minimum of 10 years of relevant experience. Design, implement, and manage enterprise storage solutions, focusing on HPE Nimble Storage and Cohesity platforms. Manage and optimize various storage systems including SAN, NAS, and DAS. Work extensively with storage protocols such as FC, iSCSI, NFS, CIFS/SMB, and Object Storage (S3). Support and maintain storage hardware from multiple vendors, including NetApp, Dell EMC, Cohesity, and HPE. Integrate and manage cloud storage platforms (AWS S3, Azure Blob, Google Cloud) and hybrid storage solutions. Utilize storage virtualization technologies (e.g., VMware vSAN, IBM SVC) for enhanced storage management. Conduct performance tuning and optimization for RAID configurations, SSD/HDD performance, IOPS, and latency. Implement and use capacity planning and monitoring tools (e.g., Splunk or vendor-specific solutions). Ensure data security through encryption, access controls, and compliance with regulatory standards (HIPAA, GDPR, PCI-DSS). Troubleshoot and resolve storage performance and system issues efficiently. Collaborate with DevOps, networking, and security teams to ensure robust storage operations. Participate in project management activities, including storage migrations, upgrades, and disaster recovery planning. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Information Services Referrals increase your chances of interviewing at Largeton Group by 2x Get notified about new Senior Storage Engineer jobs in Walnut Creek, CA.