1531 Automation Architect jobs in Boston,MA

Education: Master's or Bachelor's degree in Computer Science, Management Information Science, Engineering, or a related technical field.
Experience: 4+ years of relevant experience in:
Computer and network security
Cloud base platform experience
Computer networking administration
Microsoft Windows and Linux operating systems
Software application testing and maintenance
Cybersecurity Risk Assessment
Knowledge of the secure development lifecycle and experience in a development environment.
Expertise in application secure design and code reviews, with an understanding of Secure Coding standards and common vulnerabilities (e.g., OWASP Top 10, CWEs).
Proficiency in scripting and simple application development (e.g., PowerShell, Python, C#, C++).
Experience with industry-standard security tools (SAST, SCA, DAST, vulnerability scanning).
Leadership in Threat Modeling (STRIDE method preferred).
Penetration Testing experience (direct or supportive).
Securing development and cloud environments (Azure preferred) and the DevSecOps (CI/CD) pipeline.
Strong communication skills, both verbal and written.
Travel Flexibility: Be available for travel to Hologic offices, training, and customer sites.

Entensiv

Boston, MA 02111

Deloitte

Boston, MA 02108

Lockheed Martin

Chelmsford, MA 01824

Paid Relocation to Chelmsford, MA

Bachelor's degree in Mechanical Engineering or related engineering discipline from an accredited college or university.
Must be a US citizen with ability to obtain and maintain a Secret Security Clearance within one year of start date.
Clearance Level: Secret

Analog Devices

Wilmington, MA 01887

Must have a Master's degree in Data Science, Data Analytics, or closely related discipline (willing to accept foreign education equivalent) and two (2) years of experience in the proffered position or related occupation using semiconductor technologies and managing manufacturing data.
Demonstrated Expertise ("DE") performing data and statistical analysis on semiconductor manufacturing process data;
DE using Oracle SQL and Python (or comparable languages) to define and measure performance metrics;
DE developing predictive models for wafer cost and capacity planning in a manufacturing environment;
DE designing and deploying engineering tape-out and manufacturing systems, including system integration with foundry teams; and
DE documenting standard manufacturing procedures and maintaining collaboration tools to support cross-functional teams.