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IFBF is Iowa's largest farm organization, established in 1918.
We remain a statewide, non-profit, grassroots farm organization dedicated to creating a vibrant future for agriculture, farm families, and rural communities.
The Information Resources department is responsible for creating systems to manage memberships and support the ongoing business of Iowa Farm Bureau.
What You'll Do: We are seeking an experienced and skilled Senior Full Stack Developer with expertise in Azure, C#, .NET, SQL, API integration, and frontend development frameworks like Angular.
As a senior developer, you will play a pivotal role in designing, developing, and deploying scalable web applications and cloud-based solutions that support our business needs.
You will work closely with cross-functional teams to ensure our applications are secure, high-performing, and user-friendly, utilizing best practices in cloud architecture, API management, and identity management via Azure Entra ID.
You will also: • Architect, design, and develop full stack applications and APIs using C#, .NET, SQL, and Angular for both internal and external-facing applications.
• Leverage Azure cloud services, including Azure App Services, Azure Functions, Azure SQL, and Azure Storage, to build scalable, reliable applications.
Develop, deploy, and manage RESTful APIs that enable data and functionality sharing across platforms, ensuring optimal performance and scalability.
Implement authentication and authorization using Azure Entra ID, including single sign-on, multi-factor authentication, and role-based access control (RBAC).
Work with SQL Server and other database systems to design schemas, optimize queries, and manage database performance.
Build and maintain user interfaces using Angular and other frontend frameworks, ensuring a responsive, consistent, and user-friendly experience.
Ensure the quality and reliability of code through best practices, including unit testing, integration testing, code reviews, and adherence to coding standards.
Provide comprehensive documentation for applications, APIs, and systems architecture; support troubleshooting and performance optimization as needed.
Mentor junior developers, participate in code reviews, and collaborate with cross-functional teams to align technology solutions with business goals.
What It Takes to Join Our Team: • Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in full stack development withy a focus on Azure, C#, .NET, and Angular.
• Strong proficiency in C#, .NET, Azure, SQL, API Design, Angular and Azure Entra ID required.
• Strong analytical and problem-solving skills, with a solution-oriented mindset.
• Ability to work both independently and collaboratively in a team environment.
• Excellent communication and documentation skills.
Experience with DevOps practices and tools, such as Azure DevOps, CI/CD pipelines, and version control (Git) preferred.
Familiarity with containerization (Docker) and orchestration (Kubernetes) in the Azure ecosystem preferred.
Experience in optimizing cloud architecture for cost-effectiveness and scalability preferred.
What We Offer You: When you're on our team, you get more than a great paycheck.
You'll hear about career development and educational opportunities.
We offer an enhanced 401K with a match, a defined benefit plan, low-cost health, dental, and vision benefits, and life and disability insurance options.
We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun.
Add to that an onsite wellness facility with fitness classes and programs, a daycare center, and a cafeteria.
Iowa Farm Bureau....where the grass really IS greener! Work Authorization/Sponsorship: Applicants must be currently authorized to work in the United States on a full-time basis.
We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role.
For example, we are not able to sponsor OPT status
We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries.
We partner with Fortune 500 companies to address complex business challenges.
Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more.
Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security.
Beyond our work, we actively support local communities and non-profits, reflecting our core values.
Join us to be part of a dynamic and impactful global company! Please visit us at to know more .
Must Have Skills: Java +11 Spring /SpringBoot MongoDB or familiar with SQL database OpenShift or another cloud platform experience Nice to Have Skills: Java / J2EE (advanced, hands-on) with enterprise-scale applications Microservices architecture and distributed systems design Spring Boot / Spring Cloud / Hibernate for service development RESTful API design (Swagger/OpenAPI exposure commonly preferred) Relational databases: Oracle, MS SQL Server, PostgreSQL Event-driven systems using Kafka or RabbitMQ Familiarity with NoSQL (MongoDB, Cassandra) in some domains Docker & Kubernetes / OpenShift (OCP) for containerized deployments CI/CD pipelines (Jenkins, GitHub/GitLab, automated testing) Cloud platforms (AWS, Azure, or GCP) Linux environments (commonly RHEL) V2Soft is an Equal Opportunity Employer ( EOE).
We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
to view all of our open opportunities and to learn more about our benefits.
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
Who We Are
At NiCE, we are a global leader in AI-powered customer experience solutions, helping organizations transform how they engage with customers across every interaction. Our unified cloud platform, CXone Mpower, enables enterprises to manage and optimize 100 percent of customer engagements across voice and digital channels, combining contact center capabilities with advanced analytics, automation, and conversational AI. As an AI-first company, NiCE is advancing the next generation of intelligent, automated customer interactions through generative AI, virtual agents, and real-time decisioning to drive improved satisfaction, efficiency, and loyalty at scale. NiCE also offers complementary compliance and public sector solutions that extend our AI capabilities into regulated and mission‑critical environments. With more than 25,000 customers worldwide, including 85 of the Fortune 100, NiCE operates in over 150 countries. Learn more at the Role
As a Senior Legal Counsel on NiCE’s Americas Legal team, you will support high‑value commercial and technology transactions that are central to NiCE’s customer experience business. The role is focused on enabling growth of NiCE’s CXone Mpower platform through the negotiation and structuring of complex technology, SaaS, and strategic partnership agreements. You will work closely with sales, product, finance, security, and privacy stakeholders to address issues at the intersection of cloud technology, data protection, and regulatory compliance, while providing practical, business-oriented legal guidance.
In addition to transactional responsibilities, you will contribute to the development of scalable contracting processes, legal playbooks, and operational improvements to support a rapidly growing and evolving business. Reporting to the Associate General Counsel for NiCE Americas, this hybrid role requires two days per week in the office and offers the opportunity to operate as a trusted legal advisor within a global, AI‑driven customer experience organization.
Personal Characteristics
We are seeking a senior legal professional who demonstrates the following attributes:
- Strategic and Commercial Mindset: Approaches legal issues with strong business judgment and creativity, delivering solutions that advance NiCE’s strategic and commercial objectives.
- Collaborative Partner: Works effectively across cross‑functional and geographically diverse teams, building trust and influence with stakeholders at all levels of the organization.
- Clear and Persuasive Communicator: Communicates complex legal concepts clearly and concisely, both in writing and verbally, with the ability to tailor messaging to different audiences.
- Proactive Problem Solver: Manages multiple priorities with minimal supervision, anticipates risks, and drives matters to completion in a fast‑paced, evolving environment.
- Adaptable and Resilient: Remains effective and composed amid change, ambiguity, and shifting business priorities.
- Team‑Oriented Professional: Values collaboration and contributes positively to a high‑performing, engaged legal team culture.
Responsibilities
- Lead Complex Transactions: Structure, negotiate, and manage sophisticated commercial and technology transactions across sales, product, and procurement, with a primary focus on enterprise cloud offerings.
- Provide Legal and Regulatory Guidance: Advise on U.S. and international legal issues related to SaaS, data protection, cybersecurity, and commercial contracting, delivering practical, risk‑balanced guidance to the business.
- Scale Legal Operations: Develop, maintain, and improve legal playbooks, templates, and contracting processes to increase efficiency and support a growing, fast‑moving organization.
- Partner Cross‑Functionally: Collaborate with legal colleagues and cross‑functional stakeholders globally to align legal strategies with business priorities and key initiatives.
- Anticipate Regulatory Change: Monitor and assess evolving laws and regulations affecting NiCE’s commercial activities and proactively advise on risk mitigation and compliance.
- Enable the Business: Educate and train internal teams on legal, compliance, and contracting best practices to support informed and efficient decision‑making.
- Build Trusted Relationships: Establish strong working relationships with internal stakeholders and external partners, balancing legal risk with commercial objectives.
- Support Strategic Growth: Contribute to initiatives that advance NiCE’s global growth strategy and innovation agenda.
- Other Legal Matters: Support additional legal projects and responsibilities as needed.
Requirements
Technical Expertise
- Education and Licensing: Juris Doctor with strong academic credentials and an active license to practice law in at least one U.S. jurisdiction.
- SaaS and Technology Experience: Minimum of 8 to 10 years of legal experience, with substantial experience supporting SaaS, cloud computing, and enterprise software transactions primarily on the vendor side.
- Transactional Expertise: Demonstrated experience drafting, negotiating, and advising on complex SaaS and technology agreements, including Data Processing Agreements and, where applicable, Business Associate Agreements.
- Legal Acumen: Strong working knowledge of data privacy, cybersecurity, and intellectual property law, including familiarity with U.S. and international data protection regimes and evolving regulatory trends.
- In‑House Experience: Prior in‑house legal experience supporting a commercial or technology‑driven business environment.
Preferred Experience
- Public Company or Global Environment: Experience supporting a U.S. publicly traded company and/or a global, multinational organization.
- Operational Maturity: Proven ability to design, improve, and scale legal processes, templates, and playbooks in support of a growing business.
- AI and Emerging Technology Law: Familiarity with evolving artificial intelligence and automated decision‑making laws and regulations in the United States and internationally, including emerging global frameworks such as the EU AI Act.
Core Skills
- Excellent negotiation, drafting, and communication skills, with the ability to translate complex legal issues into practical business guidance.
- Strong organizational skills and sound judgment, with the ability to manage multiple matters independently in a fast‑paced environment.
- Collaborative, team‑oriented approach with the ability to build effective working relationships across functions, regions, and cultures.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
- Technical Skills Applications Integration
- Cloud Computing and Cloud Computing Architecture
- Data Architecture Design and Modelling
- Data Integration and Data Quality
- AI/Agentic AI driven data operations
- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
- Strong relationship management and business development skills.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Establish data governance policies and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
- A Bachelor’s degree required in STEM
- 12+ years professional consulting experience in industry or in technology consulting.
- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
- 5+ years’ experience with native cloud products and services such as Azure or GCP.
- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
- Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
- Experience leading Infrastructure and Security engineers and architects in overall platform build.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Ideally, you’ll also have
- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
- Experience working at big 4 or a major utility.
- Experience with cloud data platforms like Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.
Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.
The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.
The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.
CORE RESPONSIBILITIES
Edge AI/ML Architecture Strategy- Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
- Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
- Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.
- Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
- Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
- Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.
- Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
- Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
- Promote reuse and consistency of AI/ML components across products and platforms.
- Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
- Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
- Promote interoperability with internal systems and approved third-party technologies.
- Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
- Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
- Participate in architecture and design reviews to assess risk, resilience, and compliance.
- Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
- Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
- Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.
- This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.
QUALIFICATIONS
Education & Experience
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
- 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
- Experience with industrial, connected, or safety-critical systems preferred.
Knowledge / Skill Requirements
- Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
- Experience designing systems that balance performance, accuracy, latency, and resource constraints.
- Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
- Strong communication skills and ability to influence cross-functional stakeholders.
- Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.
Leadership & Collaboration:
- Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
- Exceptional communicator across technical and non-technical audiences.
- Committed to data-driven decision-making and delivery excellence.
Why Join Rite-Hite Digital Solutions?
As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.
What We Offer
At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you're supported - at work and beyond.
Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.
Location: Alpharetta, GA (3 days a week onsite)
Duration: 6 months
Job Description:
We are seeking a skilled Site Reliability Engineer to join our team and help build, maintain, and scale our cloud-native infrastructure. You will work closely with development and operations teams to ensure our systems are reliable, scalable, and efficient. The ideal candidate is passionate about automation, observability, and infrastructure-as-code, and thrives in a collaborative, fast-paced environment.
Key Responsibilities
Design, implement, and manage cloud infrastructure on Azure using Terraform and Terragrunt.
Maintain and optimize Kubernetes clusters on Azure Kubernetes Service (AKS).
Build and manage CI/CD pipelines using GitHub Actions/Workflows and ArgoCD for GitOps deployments.
Enhance system reliability by implementing monitoring, alerting, and observability solutions with Grafana.
Automate operational tasks to reduce toil and improve team efficiency.
Participate in on-call rotations, incident response, and post-mortem analysis.
Collaborate with development teams to improve application performance, scalability, and resilience.
Implement and advocate for SRE best practices, including SLIs, SLOs, and error budgets.
Continuously improve system performance, cost efficiency, and security.
Required Skills & Qualifications
3+ years of experience in an SRE, DevOps, or cloud infrastructure role.
Strong experience with Azure cloud services and infrastructure.
Hands-on experience with java and Terraform and Terragrunt for infrastructure-as-code.
Proficiency with Kubernetes (preferably AKS and container orchestration.
Experience with CI/CD tools, especially GitHub Workflows/Actions and ArgoCD.
Solid understanding of observability tools like Grafana (Prometheus, Loki, Tempo experience is a plus).
Education Requirements Bachelor's degree required, (Masters preferred)
Sr. Full Stack Engineer
Job ID
2025-2140
# of Openings
1
Overview
Currently seeking multiple Full Stack Developers in support of the of U.S. Citizenship and Immigration Services (USCIS) Engineering Support for Identity Services (ESIS), this individual will support Agile Application Development technologies and capabilities in the areas of software development, systems engineering, integration, and test of software applications and infrastructure. Will be skilled with front-end, back-end, and database development. Design and implement full stack cloud solutions to include IaaS, PaaS, and SaaS. Design and deploy computing infrastructure, physical or virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks. Implement cloud-based platform services for AWS. Implement cloud-based software as service for AWS. Perform DevOps functions.
Key Skills:
- 10+ years of experience with full stack engineering with proficiency in database development/integration as well as server and client application development/integration
- Software developing experience using Python and Java Spring framework
- Experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
- AWS experience required with experience deploying enterprise applications in AWS
- Experience with CI/CD environment tools such as Docker, Jenkins, Ansible, Kubernetes
Responsibilities
- Software development with Python, Java, React, and various scripting languages
- Design data models and web APIs and creation of software tasks from system requirements
- Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
- Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
- Create Git Releases, pull request and code reviews
- Query logs utilizing Splunk and will monitor dashboarding utilizing New Relic
- Usage of Atlassian Tools for day to day tasks within the Scrum process
- Implement web services, data persistence access features and external interfaces
- Partner closely with front-end and database engineers to ensure features are developed holistically
- Follow Agile software development methodology and team architecture standards.
- Will need to be able to read Architecture Diagrams
- Perform test service to improve code coverage, mocking services, test driven development and unit testing
- Will modify Helm Charts, Jenkinsfiles, and Dockerfiles
Qualifications
- MUST BE US CITIZEN
- Bachelor's degree required
- Must be able to obtain and maintain a Public Trust security clearance
- 10+ years expereince in Software Engineering
- Must have experience in Python and Java Spring Framework (Boot, Batch, Data, Security)
- Must have experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
- Experience with design, development, enhancement, troubleshooting and debugging of web applications
- Must have experience in AWS cloud environment and with CI/CD tools (ie. Docker, Jenkins, Kubernetes) for deployment processes, monitoring production environments, and modifying docker/Jenkins files and helm charts
- Experience with scripting languages (Python, Bash, Powershell, Perl) is not required but nice to have
- Understanding of the concept of branching and utilizing technological tools such as Git, VS Code, and/or Rancher to perform
- Experience with creating Git releases, creating pull requests, and reviewing code
- Experience monitoring dashboards utilizing New Relic
- Experience with Splunk to query logs
- Experience with Junit testing preferred
- Experience creating release instructions utilizing JIRA
- Experience developing and integrating complex software systems through the full SDLC
- Experience with Agile Scrum
- Must have strong written and verbal communication skills
Target Pay Range
The below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.
Pyramid Min
USD $125,731.00/Yr.
Pyramid Max
USD $188,597.00/Yr.
Why Pyramid?
Pyramid Systems, Inc. is an award-winning, technology leader, driving digital transformation across federal agencies. We empower forward-thinking innovations, accelerate production-ready software, and deliver secure solutions so federal agencies can meet their mission goals. Voted a Top Workplace, both regionally (Washington, DC) and Nationally (USA) the past 2 years (2023 and 2024) based on the feedback from our employees, we are headquartered in Fairfax, VA. and have a growing national footprint. We value and promote our Flexible Workplace approach because of the positive impacts it has on work-life integration. We remain committed to ensuring every employee's voice is heard, performance and results are recognized and rewarded, development and advancement is a focus, and diversity, equity and inclusion is a company priority. We offer competitive compensation and benefits (including a recently launched Employee Stock Ownership Plan - ESOP), a robust performance-based rewards program, and we know how to have fun! Our people and culture have endured and delivered for our clients for nearly three decades.
EEO Statement
Pyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Position title:
Assistant Project Scientist
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale(s) for this position:
. The current base salary range for this position is $76,700 -$97,600. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Percent time:
100%
Anticipated start:
Summer 2026
Position duration:
Two years, with the possibility of reappointment based on performance and availability of funding.
Application Window
Open date: February 19, 2026
Most recent review date: Thursday, Mar 5, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Monday, Mar 23, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Department of Earth and Planetary Science at the University of California, Berkeley seeks applications for an Assistant Project Scientist in the area of Atmospheric Science, specifically Cloud Physics, using Stereophotogrammetry, Remote Sensing, and Computational Modeling to study moist convection, with strong emphasis on instrument development (cameras), data processing (calibration, stereo reconstruction algorithms), scientific leadership, and mentorship in physical sciences.
This position will be in David Romps' group in the Earth and Planetary Science Department of UC Berkeley. The group at UC Berkeley and Lawrence Berkeley National Laboratory (LBNL) uses theory, simulation, and observation of clouds and atmospheric dynamics to improve our understanding of Earth's climate.
The successful candidate will co-lead the development of cameras for the stereophotogrammetry of clouds, combining the camera data with the theory of physical processes and related numerical simulations to answer scientific questions about moist convective dynamics.
Assist with supervising and mentoring postdocs, graduate students, and undergraduate students. The Assistant Project Scientist will collaborate with David Romps' group to produce publications, as well as contribute to proposals and progress reports. Maintain the code base responsible for camera calibration, feature matching, stereo reconstruction, and volume filling. Develop new stereo-reconstruction algorithms to keep our program at the cutting edge of cloud photogrammetry. Manage the operations of the cameras, including calibration, maintenance, and troubleshooting.
Labor Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/
Department: home
The Climate Physics Group:
Qualifications
Basic qualifications (required at time of application)
PhD or equivalent international degree.
Preferred qualifications
* 2 years of experience since PhD in applied physics of meteorological processes, measurements, or impacts.
* PhD in physics or related STEM field.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
(Optional)
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05267
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Company Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
- Better together:We check our egos at the door. We work together, so we win together.
Duties & Responsibilities
Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.
Qualifications
Minimum Qualifications
5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.
As a Staff Software Engineer, Airflow, you will be a key technical leader, responsible for the architecture, technical vision, and strategic evolution of the Apache Airflow-based workflow orchestration platform within the company's data ecosystem. You will be expected to solve the most complex, ambiguous, and high-impact technical problems that span multiple teams or organizational boundaries.
As a Staff Software Engineer you will:
Technical & Architectural Leadership: Drive the multi-quarter technical roadmap and architecture for the Airflow platform, ensuring it is secure, highly scalable, reliable, and cost-efficient for enterprise-grade workloads.
Complex Problem Solving: Design and implement solutions for the most challenging technical issues, such as extreme scale, multi-tenancy isolation, complex scheduling, and hybrid/multi-cloud deployment models.
Cross-Functional Impact: Collaborate closely with product management, principal engineers, and other platform teams (e.g., Spark, Kubernetes) to define and deliver core orchestration capabilities that influence the entire data platform.
Engineering Excellence: Define and champion best practices, performance optimization, and quality standards (observability, testing, and fault tolerance) for the Airflow service and its integrations.
Mentorship: Mentor senior and junior engineers on complex technical design, best practices, and execution, elevating the overall technical capacity of the team and organization.
Open Source: Maintain significant contributions and influence within the Apache Airflow open-source community, aligning the project's roadmap with product strategy.
We are excited if you have (Required Qualifications):
Bachelor's degree in Computer Science or equivalent, and 6+ years of experience
Deep Airflow Expertise: Deep, hands-on knowledge of Apache Airflow internals (scheduler, executor, serialization, REST APIs) and complex DAG authoring/optimization.
Programming: Mastery in Python, some Java experience and extensive experience with core data platform technologies and cloud-native deployments (e.g., Kubernetes, Cloud Composer, AWS/GCP/Azure).
Systems Thinking: Demonstrated ability to drive design and architectural decisions with a focus on non-functional requirements (security, performance, high availability, fault tolerance).
Leadership: Proven ability to lead and drive technical projects across multiple teams without direct reporting authority.
You may also have:
Experience defining the architecture for multi-tenant, service-oriented data platforms.
Significant contributions to Apache Airflow or related open-source projects.
Background in performance tuning and profiling large-scale Python and distributed applications.
Familiarity with data governance and security frameworks (e.g., Ranger, Kerberos) and their integration with workflow orchestration.
Why this role matters:
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
This role is not eligible for immigration sponsorship.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
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