Jobs in the United States

25+ jobs

Save this search

Added 2 mins ago
AI Platform Engineer Intern (Summer 2027)
Brain Co.
San Francisco, CA
- Have built a backend service, API, data-intensive application, or developer tool through coursework, an internship, research, or a personal project.
Added 2 mins ago
K
Senior Software Engineer, Web
Knowtex
San Francisco, CA
- $180,000 to $220,000 USD / year
Added 3 mins ago
Solution Architect / Cloud Native Lead- Lead Software Engineer 1
Capgemini
Atlanta, GA, GA · Irving, TX, TX · Nashville, TN, TN · Chicago, ND · Houston, TX, TX · Bridgewater, NJ, NJ · San Francisco, CA, CA
Integration: API and integration architecture: REST, GraphQL and event streaming; Azure API Management, Logic Apps, Service Bus and Event Grid; AWS API Gateway, EventBridge, SQS/SNS and…
Added 3 mins ago
Cyber Security Engineering Senior Associate
DTCC Candidate Experience
Tampa, FL · Coppell, TX · Dallas, TX
Added 3 mins ago
Senior Manager, Engineering, Core-backend
Crusoe
San Francisco, CA
…customer notifications, organization onboarding and KYC, and the API framework that sits in front of our backend services. Customers rely on these systems to sign up, get access to the…
Added 7 mins ago
IG
REMOTE Data Engineer
Insight Global
Remote, United States
- From $51 USD / hour
Experience in RT data ingestion and API/Microservice design & development
Added 10 mins ago
IC 2027 Software Integration Engineer
The Aerospace Corporation
Chantilly, VA
…recommendations; cloud and virtualization deployments; microservices and API development; and systems…
Added 12 mins ago
Director of Software Engineering - Digital Identity & Credential Protocols
JPMC page
Plano, TX · NY · Columbus, OH · Wilmington, DE
Develop reference architectures and reference engineering implementations for identity federation, authentication, credential issuance and presentation, and secure API access.
Added 12 mins ago
Director of Software Engineering - Agentic Architecture & Protocol Standards
JPMC page
Plano, TX · NY · Wilmington, DE · Columbus, OH
Experience with MCP, Financial-grade API profiles, sender-constrained tokens, SPIFFE, or workload identity standards.
Added 13 mins ago
A
Regional Sales Engineer
Actalent
Ladson, SC
- $90,000 to $100,000 USD / year
Develop a deep understanding of relevant safety and design standards, including but not limited to API 2000, API 2521, API 12 series, NFPA 68, NFPA 69, NFPA 30, NFPA 497, ISO 28300, and ISO…
Added 13 mins ago
F
Senior QA Engineer
Foodsmart
Remote, United States
- $140,000 to $150,000 USD / year
Strong hands-on experience in automated UI/API testing framework like Playwright, Cucumber, Selenium, Cypress, Appium, TestNG, JUnit, Protractor.
Added 14 mins ago
Senior Manager, Platform Software Engineering
Oracle
United States
Leads teams in troubleshooting and resolving issues related to application programming interface (API) functionality and integration.
Added 14 mins ago
Applications Development Tech Lead Analyst
Citigroup
Rutherford, NJ
Duties: Define API performance standards, implement fallback mechanisms, recommend load testing strategies based on regional usage patterns, and ensure adherence to 12-factor principles for…
Added 14 mins ago
B&
Senior Microsoft 365 / Power Platform Security Architect
Bucher & Christian Consulting Inc.
Pennington, NJ
- $93.08 USD / hour
Access control proficiency: RBAC, SSO, OAuth, SAML, MFA, and secure API integrations.
Added 14 mins ago
Project Manager, Embedded Finance
Fiserv
Berkeley Heights, NJ
Experience supporting application programming interface (API)-enabled implementation programs.
Added 14 mins ago
Lead Software Engineer
Fiserv
Berkeley Heights, NJ
Engineers on our team work on high-impact initiatives involving distributed systems, API-driven architectures, cloud technologies, workflow automation, and data integration solutions that…
Added 14 mins ago
SDET/Test Automation Engineer
Fiserv
Berkeley Heights, NJ
Engineers on our team work on high-impact initiatives involving distributed systems, API-driven architectures, cloud technologies, workflow automation, and data integration solutions that…
Added 15 mins ago
Technical Business Analyst
Beacon Hill Solutions Group, LLC
Princeton, NJ
Ability to review technical application logic and determine what code, service, API, interface, or application call needs to be updated.
Added 15 mins ago
T
Infrastructure Architect
TEKsystems
Jersey City, NJ
- $85 to $140 USD / hour
…platform as needed including the server-side orchestration API, distributed worker engine, and Windows client agent…
Added 15 mins ago
Lead Developer
RBC Capital Markets LLC
Jersey City, NJ
Lead Developer, RBC Capital Markets LLC, Jersey City, NJ:
Added 15 mins ago
Enterprise KYC Technology Development Lead-Director
Citigroup
Jersey City, NJ
…Fenergo core modules, developing bespoke microservices and API gateways, orchestrating complex entity data pipelines, and integrating Fenergo with internal portals, screening engines, risk…
Added 15 mins ago
B&
Senior Java Backend / Enterprise Application Developer
Bucher & Christian Consulting Inc.
Jersey City, NJ
- $96.92 USD / hour
Job Title: Senior Java Backend / Enterprise Application Developer
Added 15 mins ago
Head of Enterprise KYC Technology Risk Engine Development- Director
Citigroup
Jersey City, NJ
Architect and deliver high-throughput, low-latency, fault-tolerant microservices executing multi-factor customer risk algorithms in both real-time (API-driven) and batch modes.
Added 15 mins ago
UG
Associate Full Stack Software Engineer
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
…platform architectures by developing scalable microservices, API-driven workflows, and cloud-native solutions on AWS. You will be responsible for building robust ETL data pipelines,…
Added 15 mins ago
UG
Senior Information Security Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
Experience with Python (API integration, Automation workflow, Data analysis, Bulk processing, Cloud integrations)

Carpenter Technology Corp.

Lead Security Architect - Cloud Data & AI Platforms

Philadelphia, PA, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 29, 2026

Original job description

Carpenter Technology is seeking an experienced Security Architect to lead the security strategy and implementation for our next-generation cloud data & AI platforms. This full-time leadership role holds long-term responsibility for securing a unified analytics environment (built primarily on Microsoft Azure and related services) that will host highly sensitive and regulated data (including ITAR-controlled information). The role requires a visionary leader who can define multi-year security roadmaps and promote a security-first culture, as well as a hands-on expert capable of designing and deploying robust security controls. Operating with influence across both the enterprise cybersecurity team and the data/AI platform team, the Lead Architect will ensure security is embedded by design without stifling innovation, enabling Carpenter to deliver data-driven and AI solutions safely and in compliance with all requirements. Key Responsibilities of Position: 1. Cloud Data & AI Platform Security Architecture: Own the security architecture and roadmap for Carpenter's cloud-based data analytics and AI platform. Develop and maintain secure design patterns that cover data ingestion, storage, processing, and AI model deployment, ensuring controls are built-in across all components. Apply Zero Trust principles in every layer (identity, network, data access, applications) to minimize risk and attack surface. Work with leadership to align security investments with business strategy and risk appetite. 2. Identity & Access Management (IAM): Implement robust identity and access controls across the platform. Leverage enterprise identity services (e.g. Azure AD) to enforce single sign-on, multi-factor authentication, and conditional access policies. Define role-based access control (RBAC) models for data and analytics services, ensuring users and service accounts have least-privilege access. Establish governance for workspace permissions, data access roles, and secrets management (e.g., keys, credentials) using appropriate tools. 3. Data Protection & Privacy: Safeguard data in transit and at rest through encryption and strong key management. Ensure all sensitive data (including ITAR-regulated content) is encrypted end-to-end with appropriate customer-managed keys and meets required cryptographic standards. Implement data masking, anonymization, and tokenization techniques where needed. Coordinate with data governance teams to define data classification and handling rules, and enforce them through technical controls. 4. Network & Infrastructure Security: Design the network security architecture for the data platform in collaboration with infrastructure teams. Implement secure network segmentation and firewall policies that limit exposure and lateral movement (e.g., using private endpoints, VPC/VNet isolation). Ensure any hybrid connectivity or data pipelines connecting on-premises systems to the cloud are protected via encrypted channels and strict firewall rules. Continually evaluate and harden underlying cloud infrastructure components, aligning with best practices and reference frameworks (NIST, CIS benchmarks, etc.). 5. Governance, Risk & Compliance: Ensure the platform complies with internal policies and external regulations. Implement governance controls to meet standards such as ITAR, CMMC/NIST 800-171, and SOC/ISO 27001 as applicable. Define and monitor adherence to infrastructure and data security baselines across dev, test, and production environments. Work closely with risk management to assess and mitigate any platform-related risks that could impact operational continuity, data privacy, or regulatory compliance. Document security controls and provide evidence for audits and assessments as needed. 6. Data Governance & Monitoring: Integrate data governance tools (e.g., data catalog, lineage, DLP systems) with the platform to enable sensitivity labeling, data lineage tracking, and policy enfor ement for data usage. Establish continuous monitoring and auditing of user activities, data access events, and configuration changes in the platform. Aggregate logs and telemetry into the corporate SIEM for advanced threat detection and maintain detailed audit trails for forensics and compliance verification. 7. AI Security & Trust: Develop security and trust frameworks for AI services and agents running on the platform. Ensure AI/ML solutions respect data access controls and do not expose sensitive information. Define Responsible AI policies and implement guardrails around AI model usage (e.g., ensuring proper training data governance, limitations on autonomous actions, and bias/ethics reviews). Collaborate with data science teams to integrate security in the AI model lifecycle, from development to deployment (e.g., secure model endpoints, API protections). 8. Incident Preparedness & Response: Institute robust incident detection and response processes for the data & AI platform. Work with the Cybersecurity Operations Center (SOC) to tailor alerting for this environment and ensure runbooks cover cloud/data-specific incident scenarios. Lead or support incident handling for any security events on the platform, including triage, containment, root-cause analysis, and recovery. Use insights from incidents and near-misses to strengthen the platform's security posture (continuous improvement). 9. Strategic Leadership & Collaboration: Serve as the bridge between cybersecurity and data/AI teams, effectively reporting into both and aligning their objectives. Champion a culture of security-by-design and infrastructure-as-code, advising engineers and data professionals on integrating security into their workflows (automation of controls, DevSecOps practices). Provide thought leadership by tracking emerging threats and cloud capabilities, and proactively adjusting strategies to address them. Influence peers and executives through clear communication of security risks, wins, and needs, building consensus for key security initiatives. Education and/or Training: 1. Education & Certifications: Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience). Master's degree or MBA a plus. Professional certifications such as CISSP, CISM, CCSP, or relevant cloud security certifications (e.g., Azure Security Engineer, AWS Security) strongly preferred, demonstrating a commitment to ongoing professional development. Relevant Work Experience: 1. Extensive Security & Architecture Experience: 10+ years of combined experience in information security and/or cloud architecture, including 5+ years of leadership in securing cloud data platforms or enterprise analytics solutions. Track record of successfully delivering security for large-scale data or AI platforms in a modern cloud environment. Other Qualifications/Skills: Cloud Platforms & Tools: Strong expertise in cloud security technologies and best practices. Hands-on experience with public cloud services (e.g., Azure, AWS, or GCP), with deep knowledge of securing cloud data services (data lakes, warehouses, streaming, etc.). Familiarity with modern analytics platforms (for instance, Azure Synapse, Microsoft Fabric, Databricks, or similar) and the

Apply About employer

Report this job