Data Engineers in this role support the design, implementation, and maintenance of data pipelines and processing jobs to enable secure, scalable, and high-quality technology solutions.
Compensation
For roles located in the US, the estimated salary range for this position is $101.800,00 to $ 158.100,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Attend meetings with stakeholders to learn about requirements and understand data ecosystem, security, privacy, and retention needs.
Interpret technical requirements and execute component designs provided by senior engineers.
Create and implement code across assigned components, applying coding patterns, guidelines, and best practices.
Participate in code review processes, gather feedback, and apply changes to owned aspects of code or design.
Conduct unit testing and support testing code for one component in a common testing environment.
Lead incident response and cyber engineering initiatives within Deloitte’s Government Public Sector Cyber Security Operations.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $113,100 to $232,300.
Responsibilities
Support GPS Cyber Operations technical direction and service delivery
Express operational requirements into realistic technical implementations
Support the deployment of Cyber Security, automation, and AI technologies
Collaborate with System Owners, Developers, and Engineers to deliver security event monitoring
Audit AI tools and practices across data, models, and software engineering
Requirements
Bachelor’s degree in Computer Science or Computer Engineering
Nice to have: Advanced degrees
Nice to have: Certifications in AI/ML technologies
Nice to have: AWS Certified Machine Learning – Specialty
Nice to have: Google Cloud Professional Machine Learning Engineer
Lead and manage a team of security testing professionals, overseeing security testing strategies, penetration testing, and vulnerability scans to protect global enterprises.
Responsibilities
Lead and manage a team of security testing professionals
Develop, implement, and oversee security testing strategies and processes
Conduct security assessments, penetration testing, and vulnerability scans
Analyze and interpret security testing results to provide actionable recommendations
Collaborate with cross-functional teams to remediate security vulnerabilities
Azure DevOps Engineer responsible for migrating legacy IIS and Windows Server applications to Microsoft Azure Landing Zone in a regulated banking environment.
Locations (2)
Praha 8-Palmovka, Czech Republic
Brno Vlněna, Czech Republic
Responsibilities
Analyze on-premise applications and dependencies
Design target Azure architecture and migration strategies
Migrate web applications from IIS to Azure VMs, App Services or containers
Prepare and manage Infrastructure as Code (Terraform, Bicep)
Design and manage CI/CD pipelines in Azure DevOps or GitHub Actions
Lead architecture and security design reviews for new and existing technology solutions, create and maintain security architecture diagrams, patterns, and standards, and evaluate security controls across cloud, API, and on-premises environments.
The Senior Systems Engineer will engage with key stakeholders, including solution architects, speciality engineers (Safety, Security, HF), ILS and ATM subject experts to prepare and deliver requirement and design changes with reference to a defined system functional baseline to satisfy customer needs and project/bid cost targets.
Responsibilities
Design, develop and document solutions to meet customer requirements, whilst ensuring the integrity of the System functional baseline and architecture
Define solutions that deliver the best trade-off between requirements, cost, schedule and risk, which meet our customer’s needs
Ensure the transversal constraints related to the function are considered (Safety, Human Factor, Performance, Security)
Proactively participate in the technical reviews, including internal and with the Customer
Proactively participate in technical working groups both internally and externally to define technical solution
Requirements
Degree in Engineering, Computer Science or related discipline
Postgraduate studies in Systems Engineering (Desirable)
Lead legal advisor for cybersecurity, privacy, data, fraud and operational resilience matters across Morgan Stanley entities in EMEA.
Responsibilities
Serve as a principal legal advisor for cybersecurity, privacy, data, fraud and operational resilience matters to all Morgan Stanley entities business units in EMEA.
Assist in the development of a comprehensive cybersecurity, privacy, data, fraud and operational resilience framework based on applicable laws and regulations in EMEA.
Partner closely with key stakeholders to provide strategic direction to the Firm as it navigates complicated regulatory environment.
Advise on requirements and restrictions on the collection, storage and sharing of client and employee information including data localisation and data transfer restrictions, banking secrecy and other data related laws and regulations.
Advise on restrictions on profiling, surveillance, monitoring and the use of tracking technologies.
Requirements
Nice to have: International Association of Privacy Professionals (IAPP) Certification
Nice to have: technical background and knowledge of information security principles
Cyber Engineering Manager - Incident ResponseDeloitte · Birmingham, US
DevOps Engineer (Azure+Windows)Avenga · Praha 8-Palmovka, Czech Republic+1 more
Cloud Security ArchitectTEKsystems · Austin, US+4 more