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

Security Researcher Manager - Cloud & Kubernetes (Cortex)

We're looking for a Manager to lead a security research team for detection and r...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

2+ years in a leadership or management role, including mentoring researchers and setting research strategy
5+ years in security research with a proven track record of driving impactful projects
Deep expertise in cloud-native security, with strong focus on Kubernetes, containers, and major cloud providers (AWS, Azure, GCP, OCI)
Experience developing or working with detection and response products, such as XDR, EDR, or cloud workload protection platforms
Excellent communication skills, with the ability to articulate complex research findings and drive alignment across diverse teams
Proficient in hands-on coding and scripting (e.g., Python)
Experience working with large-scale data pipelines and analytics (e.g., GCP BigQuery, Dataflow)

Job Responsibility

Manage a team of security researchers conducting research on attacks against cloud data, Kubernetes and containers
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions
Represent the team and share insights with the security community through blogs, conference talks, and publications

Fulltime

Sr. Cloud Infrastructure Engineer (Ai & Llm Platforms)

We are seeking a specialized Infrastructure Engineer to bridge the gap between o...

Location

Salary:

Not provided

Q6 Cyber

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Platform Engineering, or SRE, with at least 1-2 years specifically focused on AI/ML infrastructure
Proven track record of building production-grade RAG pipelines or LLM-integrated applications
Thrives in 'day zero' environments where the tools and protocols (like MCP) are evolving weekly
Deep understanding of the security implications of LLMs (prompt injection, data leakage, and secure tool execution)
Experience working with substantial datasets (over 1bn objects, dozens or hundreds of TBs) and the challenges of leveraging AI tools with these data sets
Bachelor's degree or equivalent in computer science or related field
Cloud & Orchestration: AWS/GCP/Azure, Kubernetes, Terraform, Helm
AI Frameworks: LangChain, LlamaIndex, LangGraph
Data & Vectors: Pinecone, Milvus, Qdrant, or pgvector
Apache Kafka/Pulsar

Job Responsibility

Guide the architecture that will allow us to leverage AI tools with our large existing data stores and incoming streams of realtime intelligence
Work closely with other infrastructure engineers and software development teams to integrate AI tools into existing systems
Design, deploy, and maintain Model Context Protocol (MCP) servers to allow LLMs to securely interact with our internal databases, APIs, and external tooling
Build and orchestrate sandboxed, scalable environments (e.g., using Docker or specialized runtimes) where users can safely build and execute AI agents
Develop and manage the infrastructure for our internal RAG (Retrieval-Augmented Generation) pipeline, including vector database management (e.g., Pinecone, Weaviate, or pgvector) and automated embedding pipelines
Utilize Kubernetes (K8s) and Infrastructure as Code (Terraform/Pulumi) to deploy LLM-related tools, ensuring high availability and low latency for model inference and data retrieval
Implement strict guardrails for data privacy within LLM workflows, ensuring internal datasets remain secure while being accessible to authorized AI tools

What we offer

We offer a competitive compensation package and comprehensive benefits package

Fulltime

Manager – Software Engineering

Manager – Software Engineering. This role has been designed as ‘Hybrid’ with an ...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science or equivalent practical experience
8–12+ years of professional software engineering experience, including architectural ownership of distributed systems
4+ years in a technical lead or engineering management role
Strong hands‑on experience with: Authentication, authorization, and identity flows
Multi‑tenant system design
Management/control‑plane architectures
Expert proficiency with .NET / .NET Core, including internals and service‑oriented architecture patterns
Proven experience designing and implementing API‑first platforms (REST, GraphQL, gRPC)
Experience leading integration‑heavy platforms that expose customer‑ and partner‑consumed APIs
Experience leading a mission-critical team responsible for critical online services with 99.9% uptime

Job Responsibility

Co-own technical direction for the Axis Security management‑plane services and integration layers for APIs and user interfaces
Lead design of complex systems involving: Authentication and authorization (identity‑centric, zero‑trust flows)
Multi‑tenant architectures with strict tenant isolation
Critical management paths that directly affect customer access and policy enforcement
Traceability, observability, and auditability across the platform
Define and enforce API modelling standards for customer‑facing and partner‑facing APIs
Guide architecture for integration workflows
Oversee design of policy management, orchestration, and workflow systems
Lead execution of medium‑to‑large initiatives spanning multiple services and teams
Ensure systems are designed for: Reliability and fault isolation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Software Engineer

The Edge browser is a strategic product and a key entry point to Microsoft’s new...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Go or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Master'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++, Go or Python OR Bachelor'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++, Go or Python OR equivalent experience
2+ years of experience contributing to Chromium and/or open-source projects built using Ninja-based build systems

Job Responsibility

Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner
Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance
Uses debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production
Conducts incident retrospectives and identifies root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision
Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security
Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature
Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills with minimal guidance
Reviews code in a timely fashion that helps accelerate the pace of development on the team
Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered
Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews

Fulltime

Senior Lead Software Engineer, Full Stack (Programming Language Excellence Center) (Enterprise Platforms Technology)

Senior Lead Software Engineer, Full Stack (Programming Language Excellence Cente...

Location

United States , McLean; Richmond

Salary:

229900.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in software engineering
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Drive PLEC Technical Strategy: Set the architectural direction and make critical technical decisions regarding observability and infrastructure enablement across all programming languages
Elevate Observability & Automate Standard: Define the architecture and standards for language foundational tooling and analytics, centralized visibility into language usage and adherence to technical standards of excellence
Architect Language Infrastructure & Supply Chain: Lead the design and implementation of foundational language infrastructure, focusing on the strategic modernization of CI images and the definition of secure, standardized Golden Images and distroless runtime images
Modernize Build Infrastructure: Drive the evolution of build strategies, including the standardization of package management and the strategic refactoring of language-specific build logic into modern CI/CD platforms
Cultivate Technical Excellence: Serve as a subject matter expert, mentoring and guiding PLEC Core engineers and collaborating with Language Communities of Practice (CoPs)
Share your passion: Staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

AI/ML Engineer - Agentic

The AI/ML Engineer – Agentic is a senior individual contributor responsible for ...

Location

United States , San Jose

Salary:

136500.00 - 276500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 4-7 years’ experience
Production experience with agentic frameworks: LangGraph (preferred), Claude Agent SDK, or equivalent (not just prototypes)
Deep understanding of multi-agent architectures: supervisor/worker patterns, hierarchical agent graphs, ReAct loops, ReWoo
Hands-on with inter-agent communication protocols: MCP (Model Context Protocol), A2A, tool registry / server registry
LLM API integration at scale: structured outputs, streaming, function/tool calling, error handling
RAG pipeline design and optimization: chunking strategies, re-ranking, hybrid search
Vector store experience: OpenSearch or equivalent
Applied ML intuition: fine-tuning concepts, prompt engineering, evaluations, Qlora, PEFT
Backend development: FastAPI, gRPC, Kafka, Redis, message queues, Async System design: Python, API Design GraphQL and/or REST at enterprise scale

Job Responsibility

Design, build, and own a production-grade agentic orchestration platform, implementing scalable multi-agent workflows using frameworks such as LangGraph or equivalent
Architect, develop, and operate the MCP server infrastructure, including inter-agent communication, tool/server registries, domain isolation, versioning, and lifecycle management
Integrate and operate LLM services at enterprise scale, supporting streaming, structured outputs, tool/function calling, and robust error handling across agent workflows
Build and maintain retrieval and memory services for agentic systems, including RAG pipelines, OpenSearch-backed vector stores, hybrid search, and relevance optimization
Develop and operate high-performance backend services (FastAPI, gRPC, async systems, messaging) that power orchestration, tool execution, and agent runtime behavior
Own observability and reliability for non-deterministic systems, delivering end-to-end tracing, monitoring, and cost/performance visibility for agent executions
Manage cloud-native infrastructure and deployment, including Kubernetes workloads, containerized services, CI/CD pipelines, and resource optimization (CPU/memory, autoscaling)

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Security Researcher - Cloud & Kubernetes (Cortex)

If you are an innovator at heart and passionate about redefining how organizatio...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks Italia

Expiration Date

Until further notice

Requirements

5+ years in security research with a proven track record of driving impactful projects
Deep expertise in cloud-native security, with strong focus on Kubernetes, containers or major cloud providers (AWS, Azure, GCP, OCI) or Linux internal
Experience developing or working with detection and response products, such as XDR, EDR, or cloud workload protection platforms
Excellent communication skills, with the ability to articulate complex research findings and drive alignment across diverse teams
Proficient in hands-on coding and scripting (e.g., Python)

Job Responsibility

Contribute to a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure
Drive the execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions
Share insights with the security community through blogs, conference talks, and publications

Fulltime

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Manager, Product Management - Cloud Runtimes & Managed Infrastructure

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Manager, Product Management - Cloud Runtimes & Managed Infrastructure

Manager, Product Management - Cloud Runtimes & Managed Infrastructure

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