Manager, Product Management - Cloud Runtimes & Managed Infrastructure Job at Capital One (McLean, Virginia)

Manager, Product Management - Cloud Runtimes & Managed Infrastructure

Product Management at Capital One is a booming, vibrant craft that requires reim...

Location

United States , McLean; Richmond

Salary:

149800.00 - 188100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
Currently has, or is in the process of obtaining a Master's Degree in a quantitative field or an MBA with a quantitative concentration

Job Responsibility

Lead the Compute Strategy Rationalization for the entire enterprise
Converge and consolidate Capital One's diverse application footprint
Define and drive the infrastructure strategy to support diverse Capital One use cases
Ensure the infrastructure is future-ready, organized for scale, and meets the evolving needs of the organization
Be the primary visionary for the Managed Infrastructure Platform (MIP)
Design reusable, modular primitives and contracts that scale across thousands of application patterns
Shift the enterprise from point-in-time provisioning pipelines to continuous, intent-based orchestration
Enable no-touch experience to manage cloud resources like compute, storage, databases, and networking

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Staff Product Security Engineer

We’re looking for a Staff Product Security Engineer to lead the design and imple...

Location

United States

Salary:

184000.00 - 252000.00 USD / Year

AlphaSense

Expiration Date

Until further notice

Requirements

7+ years of experience in product, application, or cloud security engineering
Deep understanding of secure SDLC, threat modeling, and secure architecture design
Proven expertise with AWS cloud security concepts and best practices
Strong experience with container security, orchestration, and runtime protection
Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling
Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure
Familiarity with DevSecOps and continuous integration/deployment environments

Job Responsibility

Embed robust security practices throughout the software and AI development lifecycle (SDLC)
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services
Partner with engineering and product teams to ensure security, privacy, and compliance by design
Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows
Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments
Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft
Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act
Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations
Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management
Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction

What we offer

Competitive compensation, benefits, and career growth opportunities
Opportunity to shape and drive product security strategy
Collaborative and security-minded engineering culture
Work on cutting-edge security challenges in a fast-growing company
Performance-based bonus, equity, and a generous benefits program

Fulltime

DevOps for Global Real Estate

We are building the future of facility management for Bosch's worldwide real est...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Experienced Azure DevOps engineer
certified 'Microsoft Certified: DevOps Engineer Expert' or similar
Hands on attitude
Proven expertise working with Azure Kubernetes, Azure Application Gateway, and Azure Monitor
Should have set up and managed at least 3 Azure-based Cloud products
Expertise in conceptualizing, defining & implementing
Build and release pipelines
Security and compliance plans (e.g., EISA & Azure implementation guideline compliance)
Runtime infrastructure (operation)
Application + infrastructure monitoring

Job Responsibility

Provision and manage Azure resources (VMs, storage, networking)
Configure and maintain CI/CD pipelines in Azure DevOps
Manage integrations with on-premises infrastructure
Implement security and compliance controls
Handle incident and problem management with RCA
Monitor system performance and availability
Automate operational tasks using PowerShell, Bash, or Python

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card
Number of benefits for families (for instance summer camps for kids)
Non-working day on the 31st of December

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime

Senior Technical Account Manager, West

As a Senior Technical Account Manager (TAM), you’ll be responsible for planning ...

Location

United States

Salary:

130400.00 - 151200.00 USD / Year

Wiz

Expiration Date

July 31, 2026

Requirements

8-12+ years of experience in technical customer-facing roles, ideally supporting a cloud / cloud-security product
Examples include: Senior Technical Account Manager, Senior Professional Services Engineer, Principal Solutions Engineer, Senior Technical Support Specialist, Lead Customer Success Engineer, or Sr. Architect
B.S. in Computer Science, Engineering, or similar field, or equivalent advanced experience
Demonstrated ability to manage nebulous job responsibilities while actively improving and developing net-new processes
Expert understanding of cloud services and architecture of at least 2 CSPs (AWS/GCP/Azure/OCI) – ideally, you have multiple advanced CSP certifications (e.g., Certified Solutions Architect - Professional, Certified DevOps Engineer - Professional)
Deep familiarity with cloud-security best practices, advanced threat models, and complex CNAPP use cases. Ideally, you have a security certification (e.g., CISSP, CCSP) and extensive experience helping organizations address complex cloud-security challenges
Practical experience deploying and operationalizing containerization technologies (Docker, Kubernetes), as well as addressing corresponding security considerations
Practical experience deploying and operationalizing DevOps technologies – CI/CD, Version Control Systems, Infrastructure as Code (IaC), etc., and their security implications
Expert-level familiarity with Linux and Windows operating system security concepts, and advanced troubleshooting experience
Exceptional problem-solving skills, with the ability to diagnose and resolve highly complex technical issues, driving resolution across intricate and often ambiguous internal and external structures

Job Responsibility

Be a Wiz Product and Cloud Security Expert – Serve as a trusted technical advisor throughout your customers’ Wiz journey
Confidently navigate customers through the deployment, configuration, and operationalization of Wiz using best practices and your existing cloud-security domain expertise
Serve as the primary technical contact for your book of customers, helping to solve technical questions and issues as they arise via email, Slack, and support tickets
Act proactively, by leading the customer on a journey to full adoption and value and promoting excellence in addressing Cloud, Code and Runtime security risk
Continuously monitor news related to emerging cloud security threats and further develop your domain expertise
Continuously stay abreast and enabled on new Wiz features and functionality
Drive Adoption, Business Value Realization, and Customer Satisfaction – Ensure your book of customers are delighted and seeing value from their Wiz purchase
Help customers develop success plans with measurable goals throughout the Wiz lifecycle that align with their organizational security and compliance objectives
Act proactively, by leading the customer on a journey to full adoption and value, and promoting excellence in addressing Cloud, Code, and Runtime security risk
Use your expert knowledge of the Wiz platform and features to accelerate your customers’ success and attainment of value

What we offer

Medical, dental and vision insurance
Home Office Setup reimbursement
Flexible Spending Accounts
Monthly Connectivity reimbursement
Employee Assistance Program (EAP)
Short- and Long-term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan (with employer match)
Flexible paid time off + 11 paid holidays
Paid leave programs, including parental, pregnancy health, medical and bereavement leave

Fulltime

Technical Account Manager

As a Technical Account Manager (TAM), you’ll be responsible for planning and exe...

Location

United States

Salary:

100000.00 - 125000.00 USD / Year

Wiz

Expiration Date

Until further notice

Requirements

5-8+ years of experience in technical customer-facing roles, ideally supporting a cloud / cloud-security product
For example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer, and Architect
B.S. in Computer Science, Engineering, or similar field, or equivalent experience
Ability and willingness to navigate nebulous job responsibilities while actively contributing to the further refinement of the TAM motion
Strong understanding of cloud services and architecture of at least 1 CSP (AWS/GCP/Azure/OCI) – ideally, you have a CSP certification (e.g., Certified Solutions Architect, Certified DevOps Engineer)
Familiarity with cloud-security best practices, common threat models, and CNAPP use cases
Ideally, you have a security certification or experience helping organizations address cloud-security challenges
Familiarity with container technologies (Docker, Kubernetes), as well as the associated security considerations
Familiarity with DevOps technologies – CI/CD, Infrastructure as Code (IaC), Version Control Systems, etc.
Familiarity with Linux and Windows operating systems concepts and runtime sensing

Job Responsibility

Be a Wiz Product and Cloud Security Expert – Serve as a trusted technical advisor throughout your customers’ Wiz journey
Confidently navigate customers through deployment, configuration, and operationalization of Wiz using best practices and your existing cloud-security domain expertise
Serve as the primary technical contact for your book of customers, helping to solve technical questions and issues as they arise via email, meetings, Slack, and support tickets
Continuously monitor news related to emerging cloud security threats and further develop your domain expertise
Continuously stay abreast and enabled on new Wiz features and functionality
Drive Adoption, Business Value Realization, and Customer Satisfaction – Ensure your book of customers are delighted and seeing value from their Wiz purchase
Help customers develop success plans with measurable goals throughout the Wiz lifecycle that align with their organizational security and compliance objectives
Act proactively, by leading the customer on a journey to full adoption and value, and promoting excellence in addressing Cloud, Code, and Runtime security risk
Use your expert knowledge of the Wiz platform and features to accelerate your customers’ success and attainment of value
Assist customers in project managing Wiz adoption and operationalization goals across business units and stakeholders

What we offer

Medical, dental and vision insurance
Home Office Setup reimbursement
Flexible Spending Accounts
Monthly Connectivity reimbursement
Employee Assistance Program (EAP)
Short- and Long-term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan (with employer match)
Flexible paid time off + 11 paid holidays
Paid leave programs, including parental, pregnancy health, medical and bereavement leave

Fulltime

Adtech Platform Engineering Lead

We are looking for an Adtech Platform Engineering Lead to join our AdTech and Ma...

Location

United States , Redmond

Salary:

142800.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
4+ years people management experience, including hiring, coaching, performance management, and team development.
8+ years of experience in software engineering, platform engineering, or SRE, owning large scale production web services.
5+ years of experience translating business and product needs into technical architecture and executable delivery plans.
4+ years of experience in security, privacy, and compliant data handling for customer facing web platforms.
5+ years of experience with the Azure ecosystem (App Service, AKS, Front Door, API Management, Key Vault, Monitor/Application Insights) or equivalent cloud services.

Job Responsibility

Lead, mentor, and grow a team of platform engineers, setting clear expectations for ownership, quality, security, and operational excellence.
Translate business and product requirements into a prioritized technical delivery plan, roadmap, and backlog for shared web platform capabilities.
Balance delivery speed with long term platform health through clear architectural direction, sound engineering practices, and disciplined execution.
Act as the hands on technical authority for web platform architecture
design, review, and directly implement complex or high risk components as needed.
Own the end to end web platform lifecycle, from developer experience and build/release pipelines through runtime infrastructure, traffic management, and production operations.
Define and enforce platform standards for service templates, logging/metrics, configuration, dependency management, and release practices.
Establish and manage service contracts, versioning, and change management processes with consuming product teams.
Ensure consistent patterns for authentication/authorization, identity propagation, and secure defaults across platform components.
Define and own availability, latency, and reliability SLOs/SLAs for critical web platform services.

Fulltime

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Manager, Product Management - Cloud Runtimes & Managed Infrastructure

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