Lead DevOps engineering for Impact Level 6 environments, ensuring operational stability, security, and performance of cloud-based infrastructure and applications.
Responsibilities
Create and maintain Impact Level 6 cloud environments
Implement continuous monitoring and troubleshooting
Principal Software Engineer in the DoD Cyber Workforce Framework, responsible for low-level code development, reverse engineering, and vulnerability analysis.
Responsibilities
Design, develop, and test custom software utilities and scripts to satisfy operational cyber requirements.
Write and maintain scalable, robust code utilizing C, C++, Python, and Assembly language.
Analyze software binaries and malware to dissect functions, isolate anomalies, and identify exploitable hardware/software flaws.
Conduct rigorous software containment, isolation, and testing utilizing sandboxes and virtualization environments.
Provide technical peer reviews of code repositories and mentor junior developers.
Requirements
Bachelor's degree
Nine years of work experience
Master's degree
Seven years of work experience
Four years additional work experience in lieu of degree
SkyWater is hiring a highly skilled and experienced Semiconductor Yield Senior Principal Engineer to lead the integration of new technologies into our fab focusing on optimizing yield and quality.
Locations (3)
Bloomington, Minnesota, United States
Florida, United States
Texas, United States
Compensation
The annual salary range for this role is $158,960 - $238,440.
Responsibilities
Lead the development and implementation of strategies for integrating new semiconductor technologies into the fab environment.
Collaborate closely with cross-functional teams, including process engineers, device engineers, and manufacturing teams, to ensure seamless technology transfer and successful ramp-up to production.
Design and execute experiments to characterize new processes and technologies, identifying potential yield-limiting factors and developing solutions to address them.
IT Programmer (SQL/Business Intelligence) / Developer (SQL,BI, Data) / Data Engineer
Develop and maintain BI and reporting systems, upgrade data environment, design ETL processes, build SSAS models, create SSRS and Power BI reports, optimize SQL Server performance, and implement data modeling best practices.
Compensation
Hiring Range: CAD $64,393 - $90,082
Bonus: This position is eligible for a bonus up to 8% of base salary subject to the plan terms and conditions.
Responsibilities
Design, develop and maintain efficient ETL processes from various data sources
Design, develop, and maintain SSAS multidimensional and tabular models
Execute a comprehensive business intelligence strategy
Develop and implement a unified data model
Develop visually engaging reports and dashboards using SSRS and Power BI
Requirements
Bachelor's degree in Computer Science, Information Technology, or related work experience
Design, develop, test and maintain scalable full‑stack applications across frontend, backend and API layers, collaborating with product, architecture, infrastructure, security and delivery teams to build reliable customer and colleague‑facing solutions.
Responsibilities
Design, develop, test and maintain scalable full‑stack applications, including frontend, backend services, RESTful APIs, microservices and cloud‑based solutions.
Integrate applications with internal platforms, databases and third‑party services, including secure authentication, authorization, session management and API integration.
Develop reusable, maintainable software aligned with design patterns, engineering standards and automated unit, integration and API testing practices.
Support application performance, resilience, monitoring and operational stability by troubleshooting production issues, performing root‑cause analysis and contributing to incident resolution.
Collaborate with DevOps teams on CI/CD pipelines, automated deployments and environment management.
Lead the design, development, and delivery of AI-powered applications and intelligent solutions across global engagements, leading teams of Full-Stack AI Engineers and translating client requirements into scalable solutions.
Responsibilities
Design and deliver enterprise AI applications leveraging Generative AI, LLMs, AI Agents, and RAG architectures.
Architect and integrate AI services, cloud platforms, APIs, and enterprise applications into scalable solutions.
Lead teams building AI applications using Python, React, backend APIs, microservices, and cloud-native technologies.
Drive adoption of SDLC, DevOps, CI/CD, MLOps, and AI Engineering best practices.
Translate business requirements into practical AI solutions and lead client workshops and presentations.
Support the development, testing and review of financial models, perform financial, economic and market analysis, and contribute to proposals and client engagements as a Junior Consultant.
Compensation
We offer a competitive compensation package where you will be rewarded based on your performance and recognized for the value you bring to our business.
Responsibilities
Support the development, testing and review of financial models
Perform financial, economic and market analysis using Excel and other analytical tools
Conduct industry, company and market research
Assist with sensitivity analysis, scenario analysis, financial analysis and other analytical calculations
Prepare clear, accurate and well-structured presentations, reports and supporting materials
Requirements
Bachelor’s or master’s degree in finance, economics, accounting, business administration, mathematics, statistics, engineering or another relevant discipline
Lead business and technology transformation initiatives from strategy through execution and value realization, partnering with executive stakeholders to define priorities, shape solution architecture across cloud, data, AI, digital, and platform engineering domains, and build trusted relationships with senior client executives.
Analista de datos junior responsable de procesar y analizar datos para apoyar decisiones de negocio.
Responsibilities
Analizar y procesar datos para identificar información relevante para el negocio.
Participar en la resolución de desafíos mediante la integración de data, negocio y tecnología.
Utilizar herramientas cloud para el almacenamiento, procesamiento y análisis de datos.
Aplicar técnicas de procesamiento, transformación y visualización de datos.
Requirements
Estudiantes a partir del 7mo ciclo y egresados de las carreras de Estadística, Matemática, Ingeniería de Sistemas, de Software, Mecatrónica, Industrial, Contabilidad, Economía y afines.
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $166,900 to $278,100 Bay Area California offices – $173,800 to $289,700 All other offices locations in the US, including Sacramento – $139,100 to $254,900
Responsibilities
Partner with client stakeholders to understand business objectives
Lead discovery, requirements definition, solution design, and implementation activities
Design and deliver solutions across AI, cloud, data, digital, and platform engineering domains
Translate business requirements into scalable architectures, delivery plans, and engineering workstreams
Own solution delivery end-to-end
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
Bay Area California offices – $189,400 to $393,200
All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead business and technology transformation initiatives from strategy through execution and value realization
Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies
Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains
Align business objectives, operating models, and technology solutions to drive measurable outcomes
Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders
Requirements
Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience
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