Senior Associate, Product Management - Agent Servicing Platform Job at Capital One (McLean)

Software Development Senior Associate

The Software Development Senior Associate will be responsible for automating clo...

Location

United States , Plano

Salary:

53000.00 - 79000.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

2+ years working with Google Cloud Platform (GCP) or Azure Cloud in a production settings
Hands-on experience in scripting using an object-oriented programming (OOP) such as Python, Ruby
2+ years of hands-on experience with Infrastructure as Code (IaC) tools such as Terraform
Knowledge and understanding of core cloud offerings and understanding of cloud concepts like landing zone
Experience managing CI/CD pipelines, repositories, and release processes using Azure DevOps
Strong interpersonal and communication skills, with the ability to work collaboratively across teams

Job Responsibility

Act as a key contributor in automating the provisioning of cloud infrastructure using Infrastructure as Code (IAC) using Terraform for GCP and Azure
Collaborate with internal domain experts and using industry best practices to author Terraform modules to ensure infrastructure compliance, security, and consistency across environments
Collaborate with development teams to enable effective use of Terraform, offering support, workshop, guidance, and training as needed
Implement and enforce Policy-as-Code frameworks using tools such as HashiCorp Sentinel or Open Policy Agent (OPA) to ensure security, compliance, and governance standards
Manage and administer Azure DevOps Services environments, including CI/CD pipelines, repositories, agent pools, teams, approvals, and related components
Automate routine cloud provisioning and configuration tasks using Terraform, CI/CD pipelines, and supporting scripts (e.g., Python, Bash, PowerShell)
Create and maintain documentation for infrastructure configurations, coding standards, deployment workflows, and operational procedures

What we offer

medical insurance
dental insurance
vision insurance
flexible spending or health savings account
AD&D insurance
employee assistance
401k program
additional voluntary or legally-required benefits

Fulltime

Software Development Senior Associate

The Software Development Senior Associate role involves automating cloud infrast...

Location

United States , Plano

Salary:

53000.00 - 79000.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

2+ years working with Google Cloud Platform (GCP) or Azure Cloud in a production settings
Hands-on experience in scripting using an object-oriented programming (OOP) such as Python, Ruby
2+ years of hands-on experience with Infrastructure as Code (IaC) tools such as Terraform
Knowledge and understanding of core cloud offerings and understanding of cloud concepts like landing zone
Experience managing CI/CD pipelines, repositories, and release processes using Azure DevOps
Strong interpersonal and communication skills, with the ability to work collaboratively across teams

Job Responsibility

Act as a key contributor in automating the provisioning of cloud infrastructure using Infrastructure as Code (IAC) using Terraform for GCP and Azure
Collaborate with internal domain experts and using industry best practices to author Terraform modules to ensure infrastructure compliance, security, and consistency across environments
Collaborate with development teams to enable effective use of Terraform, offering support, workshop, guidance, and training as needed
Implement and enforce Policy-as-Code frameworks using tools such as HashiCorp Sentinel or Open Policy Agent (OPA) to ensure security, compliance, and governance standards
Manage and administer Azure DevOps Services environments, including CI/CD pipelines, repositories, agent pools, teams, approvals, and related components
Automate routine cloud provisioning and configuration tasks using Terraform, CI/CD pipelines, and supporting scripts (e.g., Python, Bash, PowerShell)
Create and maintain documentation for infrastructure configurations, coding standards, deployment workflows, and operational procedures

What we offer

medical, dental, and vision insurance
flexible spending or health savings account
AD&D insurance
employee assistance
participation in a 401k program
additional voluntary or legally-required benefits

Fulltime

Senior Platform Engineer

As a Platform Engineer at PEXA, you will be at the heart of our global technolog...

Location

Australia

Salary:

Not provided

PEXA UK

Expiration Date

Until further notice

Requirements

3+ years’ experience in platform, site reliability, DevOps or cloud infrastructure engineering roles within complex or large-scale environments
Strong knowledge of AWS including networking, compute, storage and identity services
Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation
Strong automation and scripting skills in Python, NodeJS or Bash
Experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions or ArgoCD
Hands-on experience with Kubernetes, Helm and service meshes such as Istio
Experience working with event streaming platforms such as Kafka
Solid understanding of system and application security best practices including IAM, secrets management and compliance frameworks
Experience operating Linux-based systems in production at scale
Knowledge and hands-on experience with generative and agentic AI tooling

Job Responsibility

Designing and evolving the foundational platform capabilities that power secure, scalable and efficient product delivery
Build and automate robust cloud infrastructure across our AWS environments using Infrastructure-as-Code and modern automation frameworks
Design and enhance CI and CD pipelines to improve delivery velocity, reliability and observability
Partner closely with software delivery squads, security, and resiliency and observability teams to strengthen our platform’s performance, security and developer experience
Mentor Associate Platform Engineers and Graduates, contribute to engineering forums and architecture reviews, and help shape the future direction of our platform roadmap
Designing, delivering and continuously improving scalable, resilient and secure platform infrastructure across PEXA’s global cloud environments
Champion self-service capabilities that empower delivery squads and reduce operational bottlenecks
Embed monitoring, alerting and incident response best practices
Support strategic initiatives such as cloud cost optimisation, architecture standardisation and technology modernisation
Drive continuous improvement across testing, observability and platform performance

What we offer

Quarterly wellness days to recharge
Four weeks Workcation per year – work from an approved country
Take the opportunity to purchase up to four weeks additional annual leave per year
Learn from the best and upskill with PEXA Academy certifications and grow your career

Fulltime

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location

United States , San Francisco; New York; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

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

Sr. Manager Sre

We're building a Site Reliability Engineering center in Mexico City, and we're h...

Location

Mexico , Mexico City

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Professional English fluency
Bachelor's degree
At least 8+ years of experience in SRE, production operations, or reliability engineering
Experience in DevOps Engineering (internship experience does not apply)
8+ years of experience in at least one of the following: Java, Python, Go
At least 6 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
5+ years of experience with container orchestration services including Docker or Kubernetes
Experience with Shell or Bash scripting
At least 5 years of Unix or Linux system administration experience

Job Responsibility

Define and maintain a 12-18 month technical vision and roadmap for GPN SRE in Mexico City - decompose destination architecture into deliverable steps, sequence investments, and align execution across teams
Drive reliability transformation across settlement, observability, and automation domains - establish SLOs, error budgets, severity frameworks, and operational standards that teams build against
Pioneer AI and agentic automation approaches - design and build AI-driven solutions (using Claude Code, Copilot CLI, and LLM frameworks) for alert classification, runbook generation, automated remediation, and incident analysis
set patterns that other engineers extend
Own the technical strategy for domain-specific knowledge ramp-up: identify which domain expertise requires deep engineering investment vs. documentation, and architect systems that reduce reliance on tribal knowledge
Lead cross-team technical initiatives - drive observability platform convergence, standardize on COF tooling, and eliminate arbitrary uniqueness across towers
Serve as the senior escalation point for complex production incidents - diagnose cascading failures across distributed systems (storage, network, application), drive resolution, and ensure durable fixes land
Architect automation for high-risk operational processes - certificate rotation, compliance artifact generation, settlement cycle validation - ensuring security and reliability are built in from design
Mentor and elevate engineers across teams - conduct design reviews, establish engineering standards, coach on debugging and system thinking, and create an environment where Principal Associates and Managers grow into domain experts
Introduce and advocate for engineering practices that raise the bar - AI engineering, innersourcing, reuse over rebuild, open source contribution, blameless postmortems, and chaos engineering

Fulltime

Solutions Engineer

This is a pre-sales and solutions role sitting at the intersection of compliance...

Location

United Kingdom , London

Salary:

100000.00 - 120000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams
Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring
Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms
Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace
Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides
Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative
Clear written communication
produces documentation that is precise, well-organised, and appropriate for a client audience
Comfortable learning and administering SaaS platforms
picks up new systems quickly and applies that knowledge practically

Job Responsibility

Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations
Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough
Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap
Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions
Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance
Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients
Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation
Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist
Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer
Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement

Fulltime

Data & AI Transformation Lead Senior Vice President

We are seeking an exceptional Senior Vice President to serve as the senior techn...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of progressive experience in technology, with a significant portion in senior technical leadership roles — and a continued, active hands-on involvement in software development
Java Expertise: Expert-level background in Java, including designing and building resilient, high-throughput distributed systems and microservices architectures. Must be comfortable writing and reviewing production code
Big Data Mastery: Deep, hands-on expertise in modern Big Data platforms using technologies such as Apache Spark, Kafka, Presto/Trino, and distributed data lakes or lakehouses
Transformation Track Record: Demonstrated success leading complex, multi-year legacy modernization and re-engineering programs from concept to production in a global enterprise environment
Change Leadership: A proven change agent with the ability to shift engineering culture, introduce modern practices, and bring teams along on a transformation journey
Leadership: Exceptional organizational leadership skills with experience managing and developing multiple teams of senior engineers, architects, and technical leads
Prompt Engineering & AI Tooling: Deep, practical experience with prompt engineering and hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude, OpenAI Codex, Devin) to drive engineering productivity and code quality at scale
Financial Domain: Experience in financial services, particularly in trading systems, post-trade processing, sub-ledger accounting, or risk platforms
Cloud Platforms: Experience with public or private cloud platforms (AWS, GCP, Azure) and their associated data and compute services
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience

Job Responsibility

Be an active, hands-on contributor to the codebase — designing, building, and reviewing new Java microservices that replace legacy components
Lead the re-engineering of the existing Oasys codebase, breaking down monolithic structures and migrating business logic into a modern, event-driven microservices architecture
Establish and enforce application methodologies and standards for program analysis, design, coding, testing, and implementation across the engineering organization
Analyze complex business processes, system workflows, and industry standards to define solutions to high-level problems, particularly in the context of post-trade processing and financial accounting
Serve as the organization's champion and change agent for AI-assisted software development, driving the adoption of tools such as GitHub Copilot, Claude, OpenAI Codex, and Devin across the engineering team
Bring deep, practical expertise in prompt engineering and apply it to accelerate development workflows, improve code generation quality, and automate repetitive engineering tasks
Lead by example — demonstrating how AI tooling can be integrated into day-to-day development practices to meaningfully improve productivity and code quality
Lead the design and delivery of the new Oasys platform in parallel with the Sybase IQ exit, overseeing the build-out of high-throughput data pipelines, distributed data stores, and scalable data processing frameworks
Drive the integration of new systems and functions to meet strategic goals, deploy new capabilities, and continuously enhance processes
Utilize advanced knowledge of the Oasys system flows and a comprehensive understanding of multiple technology domains to achieve transformation milestones on time and at scale

Fulltime

Vp - Ai Security & Risk Manager

The Technology department at our client is responsible for creating and continuo...

Location

United States , New York

Salary:

150000.00 - 175000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Security, Data Science, or a related field
advanced degree a plus
At least 7–10 years of experience in information security, technology risk, or a related field, with a minimum of 3 years focused on AI systems, machine learning security, or AI governance
Deep understanding of the AI and LLM landscape, including foundation model architecture, agentic systems, RAG pipelines, and the risk implications of each
Hands-on experience evaluating AI platforms and products, including the ability to assess vendor claims about model behavior, data handling, and security controls with appropriate skepticism
Familiarity with AI risk frameworks and emerging standards, including NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and ISO/IEC 42001
Experience with vendor risk management in a regulated financial services environment, including contract negotiation support and third-party security assessments
Knowledge of relevant regulatory frameworks including DORA, SOX, SEC cybersecurity disclosure rules, and GDPR/CCPA as they apply to AI data flows
Strong technical skills sufficient to evaluate AI system architecture, API security, data pipeline design, and access control models without reliance solely on vendor documentation
Excellent communication skills, with the ability to translate highly technical AI risk concepts into clear, decision-ready language for senior leadership, Legal, and Compliance

Job Responsibility

Own and maintain the firm's AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance
Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards
Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles
Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps
Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls
Lead security and risk assessments of vendors introducing AI capabilities into existing or new platforms, including evaluating model transparency, data handling practices, and auditability
Develop and maintain a structured AI vendor evaluation framework, incorporating criteria for model governance, output reliability, data residency, and incident response obligations
Partner with Procurement and Legal to ensure AI-specific provisions are reflected in vendor contracts, including data usage restrictions, model change notifications, and liability terms
Maintain a tiered risk register of third-party AI integrations, with ongoing monitoring for material changes to vendor AI functionality, architecture, or ownership
Engage directly with vendor security and product teams to assess AI-related controls and drive remediation of identified gaps

Fulltime

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Senior Associate, Product Management - Agent Servicing Platform

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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