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Added 15 mins ago
R
Senior Machine Learning Engineer - AI Cloud
Rippling
Seattle, WA · San Francisco, CA · New York, NY
- $172,800 to $288,000 USD / year
As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle for projects within the AI Cloud team: problem formulation, data preparation, model development, evaluation,…
Added 36 mins ago
Process Engineer, NA SSD Network, Sub Same Day Process Engineering
Amazon
Bellevue, WA
…and applying robotics, autonomy, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed…
Added 36 mins ago
Systems Engineer, Data Systems
Meta
Redmond, WA
…Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 36 mins ago
Business Intel Engineer II, Pricing Insights
Amazon
Seattle, WA
…Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price…
Added 44 mins ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Enterprise Finance Data Engineering team is seeking a Senior Data Engineer to design, build, and manage the data foundations that power enterprise finance analytics, automation, and…
Added 52 mins ago
Senior Databricks Data Engineer
Growth Acceleration Partners
Remote, United States
…in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while…
Added 1 hour ago
Senior Software Engineer, Infra, Auctions and Prediction Stack
Google
Mountain View, CA
Google Ads is at the forefront of AI innovation, applying machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 1 hour ago
Senior AI Engineer (REMOTE)
EnableComp
Remote, United States
The Senior AI Engineer is a hands-on individual contributor who builds, trains, and evaluates machine learning models. The role combines knowledge engineering and data analysis with applied…
Added 1 hour ago
AI/Machine Learning Engineer
Fordham University
Bronx, NY
Reporting to the Assistant Vice President of Enterprise AI, the AI/Machine Learning Engineer supports the advancement of the University’s enterprise AI strategy by designing, building, and…
Added 1 hour ago
Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )
Capital One
New York, NY
We are seeking a highly skilled and visionary Full- Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge…
Added 1 hour ago
Software Dev Engineer - II , Live Events Advertising
Amazon
New York, NY
…design reviews where you'll share technical perspectives with senior engineers, and work through complex problems that span broadcast systems, distributed infrastructure, and intelligent…
Added 1 hour ago
Senior Software Engineer, Windows Desktop App, DeepMind
Google
New York, NY
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As…
Added 2 hours ago
Senior ML Engineer - Ads ML Infrastructure
Apple
New York City, NY
The Machine Learning Platform team’s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers.…
Added 2 hours ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Enterprise Finance Data Engineering team is seeking a Senior Data Engineer to design, build, and manage the data foundations that power enterprise finance analytics, automation, and…
Added 2 hours ago
Senior Staff Tech Lead Manager, Ads Serving Infrastructure
Google
Mountain View, CA · New York, NY
Google Ads is at the forefront of AI innovation, applying machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 2 hours ago
UG
Senior AI/ML Engineer
UnitedHealth Group
Eden Prairie, MN
- $120,100 to $214,500 USD / year
Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities…
Added 2 hours ago
Senior Mixed Signal Design Engineer
NVIDIA Corporation
ON, CA
…revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new…
Added 2 hours ago
Platform Engineer
RightEye
Remote, United States
Working familiarity with machine learning: you understand the model lifecycle and have helped deploy or integrate ML models in a product
Added 3 hours ago
GA
Senior AI/ML Engineer - Generative AI for Software Development
GE Aerospace
Grand Rapids, MI
- $130,000 to $173,000 USD / year
GE Aerospace Defense & Systems is seeking a Senior AI/ML Engineer to join our Emerging Technologies team in Grand Rapids, Michigan. In this role, you will help shape how large language…
Added 3 hours ago
Senior Software Engineer, YouTube Ads Marketplace Optimization
YouTube
Mountain View, CA
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 3 hours ago
Sr. Backend Engineer, AutoScaling & Balancing, NG-SIEM (Hybrid)
CrowdStrike, Inc.
Austin, TX · NY · Sunnyvale, CA · Redmond, WA
Ideal candidate for this Senior Engineer has deep expertise in large-scale distributed/control systems (intelligent placement, auto balancing, autoscaling) and the ability to go deep into…
Added 4 hours ago
J
Senior Data Engineer, Data Analytics
Jobgether
Remote, United States
- $175,000 to $274,000 USD / year
We are seeking an experienced Senior Data Engineer to build and optimize the data infrastructure powering next-generation humanoid robotics and automation. In this role, you will transform…
Added 5 hours ago
Senior Compiler Engineer - AI
NVIDIA USA
Remote, United States
Contributions to open-source compiler or machine learning projects.
Added 5 hours ago
UG
Senior AI/ML Engineer
UnitedHealth Group
Eden Prairie, MN
- $120,100 to $214,500 USD / year
Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities…
Added 5 hours ago
J
Associate Machine Learning Engineer
Jobgether
Remote, United States
- $106,900 to $152,700 USD / year
…applications and next steps. Our partner is looking for an Associate Machine Learning Engineer based in the United…

Closed listing

Amentum

Cybersecurity Engineer (Cloud)

Indianapolis, IN, United States

$130K - 140K

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $130K - 140K
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

Purpose and scope

The Cloud Security Engineer implements and maintains security controls across commercial and government cloud environments, including Microsoft 365 Commercial and GCC High, Azure, AWS, hybrid-cloud services, and approved cloud-based artificial intelligence services. The role turns security architecture and regulatory requirements into working guardrails, configurations, automation, control evidence, and telemetry. Success requires hands-on cloud engineering and a working understanding of government, defense-industry, privacy, and international security frameworks. A central responsibility is implementing the controls needed to adopt generative AI, machine learning, enterprise copilots, and agentic systems safely across commercial, government, and CUI environments. The role also administers assigned cloud security platforms and supports risk assessment, control testing, remediation, and audit readiness. This role reports to the Senior Cybersecurity Architect & Senior Manager.

Essential responsibilities

Cloud security engineering

Implement and maintain security controls across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services, including cloud guardrails, secure landing zones, workload protections, and virtual desktop environments.
Configure and test security policies, infrastructure-as-code controls, deployment automation, and supporting integrations in coordination with cloud platform and application owners.
Review technical findings, troubleshoot control failures, and recommend practical configuration changes that reduce risk without unnecessarily disrupting services.

Cloud security platform administration

Administer assigned cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage monitoring, and alert integrations.
Maintain platform health and configuration, tune controls, document exceptions, and identify gaps in cloud coverage.
Integrate cloud security telemetry with Security Operations and the managed security service provider. Support escalated investigations when cloud expertise is needed.
Coordinate exposure prioritization and tracking with Vulnerability Management and work with cloud platform owners on remediation. The role does not own the underlying cloud services or their remediation queues.

Government cloud and compliance engineering

Implement and validate technical controls that support CMMC and applicable NIST requirements, including NIST SP 800-171 and NIST SP 800-172.
Support Microsoft 365 GCC High and CUI workloads with an understanding of government-cloud service limitations, tenant and security boundaries, data handling requirements, and controlled connectivity with commercial environments.
Translate applicable requirements from DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, and other relevant frameworks into practical cloud configurations in coordination with Risk and Compliance.
Perform technical risk assessments and control testing; maintain implementation records, evidence, exceptions, and remediation status for assessments and audits.

Artificial intelligence and agent security

Implement and operate security controls for approved AI and machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, and tool integrations.
Configure identity and access controls, data-source permissions, secrets handling, execution boundaries, sandboxing, tool restrictions, human approval controls, network egress, logging, and other safeguards defined by Architecture.
Test controls against risks such as prompt injection, indirect prompt injection, sensitive-data exposure, unsafe tool execution, over-privileged agents, unapproved model or service use, and manipulation of grounding content.
Evaluate AI service configurations and new platform features for security, privacy, data residency, government-cloud availability, and CUI handling before implementation.
Automate repeatable AI security configurations and validation checks through policy, scripting, infrastructure as code, and deployment pipelines where practical.
Integrate relevant AI activity and security telemetry with enterprise monitoring and support investigations requiring AI expertise.

Collaboration and documentation

Work with Identity, Network Security, Data Security, Detection and Incident Response, IT, connected program sites, and application teams to implement controls within their areas of responsibility.
Maintain configuration standards, implementation guides, diagrams, operating procedures, and support documentation for assigned cloud security capabilities.
Translate applicable security and regulatory requirements into technical configurations and provide evidence or technical input for assessments and audits when requested.
Stay current on cloud and AI security threats and recommend improvements based on observed risk, platform changes, and operational experience.
Participate in 2nd-level Security Operations Center (SOC) activities, e.g. respond to critical security incidents escalated by a MSSP. Provide off-hours support on an infrequent, but as needed basis.

Performs other duties as assigned.

Knowledge, Skills, & Abilities

Working knowledge of cloud identity, network security, data protection, logging, posture management, and workload protection concepts.
Working knowledge of generative AI and agentic-system security risks, including data exposure, prompt injection, tool and connector permissions, agent identities, secure execution, and audit logging.
Ability to support technical risk assessments, control testing, remediation documentation, and audit evidence collection.
Ability to troubleshoot technical issues, document work clearly, manage priorities, and collaborate with technical and non-technical partners.

Minimum qualifications

U.S. citizenship is required for this position.
Bachelor's degree in cybersecurity, information technology, computer science, engineering, or a related field, or an equivalent combination of education and relevant experience.
Five years of related experience, to include three or more years of relevant experience in cloud, security, systems, or infrastructure engineering.
Hands-on experience with Microsoft cloud or AWS security capabilities and the ability to support Microsoft 365, Azure, AWS, and hybrid services as needed.
Experience implementing or maintaining technical controls through cloud policy, scripting, automation, or infrastructure as code.

Preferred qualifications

Experience with a cloud security posture management, workload protection, or cloud-native application protection platform.
Practical experience with, or demonstrated understanding of, Microsoft 365 GCC High or a comparable government cloud environment and the security boundaries associated with regulated data.
Direct experience supporting government, defense-industrial-base, CUI, or other regulated cloud environments.
Working knowledge of government and defense-industry security requirements, including CMMC, NIST SP 800-171 and NIST SP 800-172 concepts.
Familiarity with DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, or comparable regulatory and international requirements.
Hands-on experience securing cloud AI or machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, or automated tool integrations.
A relevant security or cloud certification, such as Security+, an Azure or AWS security certification, CCSP, or comparable training.

Work environment, physical demands and mental demands

Typical office environment with no unusual hazards, occasional lifting up to 50 pounds, constant sitting while using a computer terminal, constant use of sight while reviewing documents, constant use of speech and hearing for communication, constant mental alertness, and the ability to plan and organize work and meet deadlines. Other related cloud security duties may be assigned.

Compensation Details:

$130K - 140K

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters (https://postings.govdocs.com/#/vxSkbztPuAwwxfs) .

About employer

More about this job

Skills

Cybersecurity
Microsoft 365
Microsoft Azure
AWS
Hazard assessment
Infrastructure as code
Troubleshoot
Onboarding
Prioritization
Regulatory compliance
Data protection
Security threats
Documentation
Computer technology
Computer science
Security regulations
Security+
Heavy lifting
Communication skills
Work in an organised manner
Meet deadlines

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