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1mo ago

Senior Software Engineer, Cloud and Analytics platform

Macquarie Group Limited Houston, TX

Houston, TX

1mo ago Closed

Full time Backend Developer Python Agentic Ai

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Macquarie Group Limited is hiring a Senior Software Engineer to enhance analytics and rapid delivery capabilities for Commodities and Global Markets.

Responsibilities

Deliver resilient, highly scalable technology through a hands-on coding approach, strong system design, and continuous improvement
Design, build, and operate distributed-compute and data-science platform components using best-in-class open-source frameworks and cloud-native services
Partner with quantitative analysts and trading desks worldwide to convert research ideas into production-ready solutions
Automate infrastructure using Python, Java, or Scala and embed AI-driven capabilities to support developer productivity and new insights

Requirements

Advanced software engineering expertise in Python, Java, or Scala, including experience designing, building, and supporting production-grade distributed compute and data science platforms
Cloud engineering capability including AWS, Kubernetes, and Infrastructure-as-Code tools such as Terraform, CloudFormation, and Helm
Experience with modern engineering practices including CI/CD pipelines, Bazel, Git-based workflows, Linux administration, and networking
Knowledge of analytics and AI technologies including Apache Airflow, Dask, JupyterHub, LLMs, agentic AI frameworks, MCP tools, and prompt engineering
Strong communication and stakeholder management skills with a collaborative, inquisitive, and agile style working alongside quantitative analysts, traders, and other business stakeholders

Technology Stack

Languages: Python, Java, Scala
Cloud & Infrastructure: AWS, Kubernetes, Terraform, CloudFormation, Helm
Engineering Practices: CI/CD pipelines, Bazel, Git, Linux, networking
Analytics & AI: Apache Airflow, Dask, JupyterHub, LLMs, agentic AI frameworks, MCP tools, prompt engineering

Benefits

Wellbeing and leave: 1 wellbeing leave day per year; minimum of 25 days annual leave
Parental leave: 20 weeks’ paid parental leave for primary caregivers; 12 days of paid transition leave upon return to work; 6 weeks’ paid leave for secondary caregivers
Community support: 2 days of paid volunteer leave and donation matching
Health & insurance: medical, prescription drug, dental, and vision insurance; health savings account and dependent day care savings account; life insurance, disability, and other insurance plans
Retirement & disability: 401(k) and short/long term disability
Employee Assistance Program: access to behavioural health network with counselling and coaching services
Learning & development: learning opportunities including reimbursement for professional membership or subscription
Recognition: recognition and service awards
Work model: hybrid and flexible working arrangements, dependent on role
Work-from-home setup: reimbursement for work from home equipment

Location & Work Style

Houston, TX (hybrid)

Macquarie employees can access a range of benefits (subject to eligibility criteria, depending on the role).

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2mo ago

Lead Machine Learning Engineer

Capital One New York, NY

New York, NY

2mo ago Closed

$215k - $246k/yr Full time AI Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Sep 4, 2026).

Job Description

Join Capital One in an onsite role in New York, NY, leading finance technology AI enablement work across horizontal teams. You will help build and operate AI capabilities that associates can use day to day, while contributing to long-term technical direction for responsible and explainable AI systems. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits to support total well-being, plus performance-based incentive compensation that may include cash bonus(es) and/or long term incentives (LTI). Salary range: USD 215,200 - 245,600 per year.

Responsibilities

Partner with engineers, data scientists, product managers, and designers to deliver AI-powered products that change how associates work and provide value to customers.
Design, develop, test, deploy, and support AI software components that use machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability, and agentic AI.
Fine-tune, develop, and evaluate machine learning and foundation models.
Collaborate in a cross-functional Agile team to create and enhance software that uses state-of-the-art AI and ML capabilities.
Provide thought leadership and technical vision to help shape the long-term roadmap for pioneering AI systems at Capital One.
Leverage a broad stack of Open Source and SaaS AI technologies.
Use expertise in ML modeling techniques and issues to inform ML infrastructure decisions.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines that feed ML models.
Manage code to reduce vulnerabilities, ensure models are governed from a risk perspective, and follow best practices for Responsible and Explainable AI.

Requirements

Bachelor’s Degree
6+ years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply)
4+ years of experience programming with Python, Scala, or Java
2+ years of experience building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn, PyTorch, Dask, Spark, TensorFlow
Retrieval Augmented Generation (RAG)
AWS Bedrock, Google Cloud, Azure
Open Source, SaaS, large language model inference

Preferred Qualifications

Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or similar field
7+ years designing, developing, delivering, and supporting AI services at scale
3+ years building production-ready data pipelines that feed ML models
3+ years on-the-job experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
3+ years developing AI and ML algorithms or technologies using Python
2+ years of experience with Retrieval Augmented Generation (RAG)
2+ years of experience with data gathering and preparation for ML models
2+ years people leader experience
1+ years experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Experience leveraging interactive AI tooling to accelerate productivity, using capabilities beyond basic code completion
Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, or Azure

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