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Vericast

2 open positions available

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Microsoft Cloud Engineer

VericastAnywhereFull-time
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Compensation$80K - 140K a year

Design, implement, and support Microsoft Azure and Microsoft 365 cloud infrastructure and identity services. | 3+ years experience in software engineering or systems engineering with expertise in Microsoft cloud platforms and identity management. | Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. Job Description Vericast is seeking a Cloud Engineer to support and operate our Microsoft Azure and Microsoft 365 platforms. This role is responsible for the engineering, administration, and continuous improvement of enterprise cloud and identity services, including Azure Virtual Desktop (AVD), Microsoft Entra ID, M365 email systems, and emerging AI capabilities such as Microsoft Copilot and Copilot Studio. This is a hands-on engineering role, not a pure architecture position. The ideal candidate will have strong technical depth and the ability to design, build, troubleshoot, and operate cloud and identity solutions in a production environment. Key Responsibilities Azure Platform Engineering • Design, implement, and support Azure-based infrastructure and services • Operate and optimize Azure Virtual Desktop (AVD) environments • Ensure platform scalability, availability, and cost efficiency • Implement and maintain infrastructure as code (e.g., Terraform, Bicep, ARM templates) Identity & Access Management • Administer and support Microsoft Entra ID (Azure AD) • Design and maintain: • Single Sign-On (SSO) • Conditional Access policies • Identity lifecycle and governance processes • Integrate enterprise applications with identity solutions (e.g., SailPoint or similar platforms) Microsoft 365 Platform • Support and manage Microsoft 365 services, including Exchange Online and email integrations • Troubleshoot issues across Azure, Entra ID, and M365 services • Implement and support security and compliance controls across the M365 platform AI & Copilot Enablement • Support and operationalize Microsoft Copilot and Copilot Studio • Assist with integration of Copilot into enterprise workflows and business applications • Provide technical support and troubleshooting for AI-enabled productivity tools Operations & Support • Serve as an escalation point for complex platform and identity issues • Perform root cause analysis and implement long-term remediation • Monitor platform health, performance, and security posture • Excellent communicator both written and verbal. • Partner with cross-functional teams to deliver integrated cloud and identity solutions Qualifications Education • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; or equivalent combination of education and work experience. Experience • 3+ years of professional experience in software engineering, application development, systems engineering, or a related technical field. • Experience developing, modifying, supporting, and maintaining business applications and systems. • Experience participating in cross-functional projects and delivering technology solutions in a business environment. • Experience estimating technical work efforts and supporting solution delivery. Additional Information Base Salary Range: $80,000 - $140,000 (Based on verified experience) Applications will be accepted until the posted deadline August 7, 2026 or until a sufficient candidate pool has been identified. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers! WHAT WE BELIEVE At Vericast, we believe what’s good for people is good for business. Everything we do starts from a place of purpose to drive meaningful impact for our clients, our people and our communities. We’ve cultivated a culture of collaboration, a heritage of innovation and a focus on workplace flexibility. Every day you will have the opportunity to bring your passion and expertise to create opportunities to grow and thrive. Together, let’s advance performance for all. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

Microsoft Azure
Microsoft 365
Azure Virtual Desktop
Identity and Access Management
Infrastructure as Code
Verified Source
Posted 27 days ago
VE

Data Scientist II (Remote)

VericastAnywhereFull-time
View Job
Compensation$130K - 140K a year

Develop and implement predictive models and features to improve financial services marketing products, collaborate with cross-functional teams, and mentor junior data scientists. | Bachelor's and Master's degrees in quantitative fields, 5-10 years of data science experience, proficiency in Python/PySpark, machine learning workflows, and digital analytics tools. | Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn. Job Description The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. A typical data science project has a solid mathematical foundation, an exploratory dimension, and a data-driven workflow. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. We are building a privacy-centric future of digital advertising by focusing on web content. We are connecting web content to consumer interest and action, ultimately driving which ads are shown on a webpage. The Data Scientist II - FI Solutions, is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry. The Data Scientist II - FI Solutions is innately curious about how data can be used to tell a story and inform decisions. The Data Scientist II - FI Solutions is an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence in our Financial Services marketing product suite. Our day-to-day work is performed in a progressive, high-tech workspace where we focus on a friendly, collaborative, and fulfilling environment. KEY DUTIES/RESPONSIBILITIES Leverage a richly populated feature stores to understand consumer and market behavior. 20% Implement a predictive model to determine whether a person or household is likely to open a lending or deposit account based on the advertising signals they've received. 20% Derive a set of new features that will help better understand the interplay between geography and audience features to improve model performance. 20% Work collaboratively with Data Engineering and Analytics teams to develop new products with applied AI and bring them to market. 20% Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. 20% Qualifications EDUCATION · Bachelor’s Degree (Required) · Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required) · Doctorate Degree (Preferred) EXPERIENCE · 5-10 years of experience within the Data Science space. · In lieu of the stated education and experience requirements, a combination of experience and education will be considered. · Experience with web or digital analytics tools (e.g. Adobe Analytics, Google Analytics, WebTrends) preferred. KNOWLEDGE/SKILLS/ABILITIES · Conduct in-depth user journey analysis to pinpoint engagement gaps, conversion barriers, and high-performing paths. · Identify opportunities in print, SEO, paid ads, and digital marketing optimization by using data from POS systems, Google Analytics and media delivery platforms. · Understanding and experience with Machine Learning workflows and model productionalization. · Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies. · Familiarity with Spark Framework within an On-Premise Big Data Environment. · Good analytical skills, with expertise in analytical toolkits such as Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis. · Proficient in Python/PySpark collaborative development in an industry setting. · Ability to create Data-Driven presentations and reports for technical and non-technical stakeholders. · Proven track record of leveraging data to optimize marketing campaigns and improve customer engagement. OTHER Serve as a mentor to junior and less experienced data scientists by providing guidance, sharing technical expertise, and supporting their professional development through regular feedback, code reviews, and collaborative problem-solving. Additional Information Base Salary: $130,000-$140,000 *Applications will be accepted through October 6, 2025, after which the posting will be closed and no longer available for submissions.* The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers! At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-KK1 #LI-REMOTE

Machine Learning
Python
PySpark
Regression
Tree-based Models
Cluster Analysis
Statistical Modeling
Predictive Analysis
Digital Analytics Tools
Data Engineering
Direct Apply
Posted 12 months ago

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