The role requires a remote AWS Solutions Architect with 7-10+ years of experience in IT infrastructure, specifically focused on manufacturing environments.
Responsibilities
Lead large-scale migration from traditional data center or hosting provider to AWS
Architect complex hybrid-cloud environments, including on-premise to cloud replication, failover patterns, and advanced networking
Manage production constraints and shop floor systems (MES/SCADA)
Utilize AWS services including EC2, VPC, S3, RDS, AWS Backup, and Direct Connect
Implement Infrastructure as Code (Terraform, CloudFormation)
Develop and maintain machine learning and forecasting solutions for store, warehouse, and ATM systems.
Compensation
Year End Bonus: one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year.
Responsibilities
Develop and maintain machine learning and forecasting solutions using Python and SQL
Build scalable ML and data pipelines using Databricks, Spark/PySpark, and Delta Lake
Develop automated deployment processes using Databricks Asset Bundles (DABs) and CI/CD
Partner with data scientists, cloud engineers, and business teams to produce demand forecasting models
Monitor model and pipeline performance and troubleshoot production issues
Requirements
Bachelor’s degree in computer science or another analytical discipline, or equivalent experience
Especialista focado em produtos de Inteligência Artificial, liderando iniciativas desde o discovery até a implantação e operação em produção.
Responsibilities
Definir e sustentar a visão, a estratégia e o roadmap de produtos de Inteligência Artificial, traduzindo problemas de negócio e necessidades dos clientes em hipóteses, objetivos, OKRs, épicos, features e critérios de sucesso, para maximizar valor, adoção e alinhamento ao portfólio corporativo
Liderar o discovery e o delivery de produtos de Inteligência Artificial de ponta a ponta, articulando usuários, áreas de negócio, Ciência de Dados, Engenharia, Arquitetura, Segurança, Jurídico, Privacidade, UX e fornecedores, para transformar hipóteses em soluções escaláveis, confiáveis e integradas aos processos da companhia
Gerenciar e priorizar o backlog com base em valor, risco, esforço, dependências e evidências, conduzindo PI Planning, refinamentos, reviews e decisões de trade-off, para garantir previsibilidade, evolução contínua e geração incremental de resultados
Estabelecer a governança do ciclo de vida dos produtos de Inteligência Artificial, contemplando qualidade e linhagem de dados, avaliação de modelos e LLMs, métricas de precisão e experiência, vieses, explicabilidade, segurança, privacidade, monitoramento, custos e resposta a incidentes
Exercer liderança técnica e influência organizacional, apoiando o desenvolvimento de Product Owners e demais profissionais, facilitando decisões em cenários de conflito e ambiguidade e comunicando resultados em fóruns executivos
A senior role setting technical direction and working hands-on to shape the platform foundations behind Telenet’s data, GenAI and Agentic AI ambitions.
Responsibilities
Design and coordinate the implementation of products and services on AWS & Snowflake, from secure storage to compute and purpose-based access management.
Create reusable abstractions over the underlying infrastructure so data teams can focus on data processing and the platform can adopt new technologies.
Build accelerators and frameworks that make the whole tribe more efficient and effective.
Safeguard platform continuity through support and standard upgrades, with DevOps that is increasingly agentic.
Apply FinOps practices across Snowflake and AWS to improve cost efficiency and transparency.
Lead and grow the Blackhawk Network Offensive Security Team, providing product security thought leadership and support across the organization.
Compensation
Salary Range for all U.S. Residents (excluding Alaska, California, North Dakota, South Dakota): $155,770.00 to $264,834.00; Salary Range for California Residents Only: $189,990.00 to $323,010.00
Responsibilities
Provide product security thought leadership across the company
Deploy/on-board applications on product security tools
Provide support for product security commercial off-the-shelf (COTS) and in-house built applications
Perform code reviews of applications, manually and using static analysis tools
Requirements
BS in Computer Science, Electrical Engineering or related experience
The head of Product Security Engineering will lead and grow the Blackhawk Network Offensive Security Team, keeping corporate and production infrastructure secure and articulating security decisions to engineers and business teams.
Compensation
Salary Range for all U.S. Residents (excluding Alaska, California, North Dakota, South Dakota): $155,770.00 to $264,834.00. Salary Range for California Residents Only: $189,990.00 to $323,010.00
Responsibilities
Provide Product Security thought leadership across the company
Deploy/on-board application on product security tools
Provide support for product security commercial off-the-shelf (COTS) and in-house built applications
Perform code reviews of applications, manually and using static analysis tools
Lead and grow the Blackhawk Network Offensive Security Team
Design, develop, automate, and operate secure, scalable cloud CI/CD platforms and deployment pipelines, building pipeline-as-code and infrastructure-as-code solutions.
Locations (2)
Atlanta, Georgia, United States
Bermingham, Alabama, United States
Responsibilities
Design, develop, automate, and operate secure, scalable cloud CI/CD platforms and deployment pipelines.
Develop pipelines as code using YAML, Jenkins, Azure DevOps, or equivalent CI/CD technologies.
Automate the complete software delivery lifecycle including source-code integration, build and packaging, unit and automated testing, code-quality validation, security scanning, infrastructure provisioning, application deployment, release validation, and production promotion.
Implement reusable pipeline templates and automation frameworks to standardize application delivery across engineering teams.
Design and implement cloud infrastructure using Terraform.
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