DevOps Engineer - Core AI at Millennium

📍 Job Overview

Job Title: DevOps Engineer - Core AI
Company: Millennium
Location: Tel Aviv-Yafo, Tel Aviv, Israel
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: June 22, 2025

🚀 Role Summary

Design, implement, and maintain scalable build/release pipelines to support rapid development cycles.
Ensure the stability and scalability of our Kubernetes-based infrastructure.
Develop and manage metrics systems leveraging DataDog to monitor system performance and reliability.
Collaborate with development teams to automate workflows and improve CI/CD processes.
Troubleshoot and resolve infrastructure-related issues, ensuring minimal downtime.
Implement best practices for system security, reliability, and scalability.
Stay updated with advancements in DevOps tools and methodologies to continuously improve processes.

📝 Enhancement Note: This role requires a strong focus on infrastructure management, automation, and monitoring to enable the firm's AI-driven solutions. The ideal candidate will have a proven track record in DevOps, experience with Kubernetes, and a passion for ensuring high system availability and performance.

💻 Primary Responsibilities

Infrastructure Management: Design, implement, and maintain scalable Kubernetes-based infrastructure to support the firm's AI systems.
CI/CD Pipeline Management: Develop, maintain, and optimize CI/CD pipelines to ensure efficient and reliable software delivery.
Monitoring and Observability: Implement and manage metrics systems using DataDog to monitor system performance, reliability, and identify potential issues proactively.
Collaboration and Automation: Work closely with development teams to automate workflows, improve CI/CD processes, and enhance overall development efficiency.
Troubleshooting and Resolution: Diagnose and resolve infrastructure-related issues promptly to minimize downtime and ensure optimal system performance.
Security and Best Practices: Implement and maintain best practices for system security, reliability, and scalability to protect the firm's AI-driven solutions.

📝 Enhancement Note: This role requires a strong focus on proactive issue resolution, continuous improvement, and collaboration with development teams to ensure the success of the firm's AI-driven solutions.

🎓 Skills & Qualifications

Education: A Bachelor's degree in a quantitative field (Math, CS, Science's) or equivalent experience/knowledge.

Experience: Minimum 4 years of experience as a DevOps Engineer.

Required Skills:

Strong experience with Kubernetes, including deployment, scaling, and troubleshooting.
Proficiency with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI/CD, or similar).
Experience with monitoring and observability tools, particularly DataDog.
Solid understanding of infrastructure-as-code tools (e.g., Terraform, Helm).
Strong scripting skills in Python, Bash, or similar languages.
Familiarity with containerization technologies such as Docker.
Proven ability to design and implement scalable and reliable systems.

Preferred Skills:

Experience with cloud platforms (AWS, GCP, Azure) for infrastructure management.
Familiarity with AI/LLM-related workflows and tools.
Knowledge of networking concepts and security best practices.

📝 Enhancement Note: While not required, experience with AI/LLM-related workflows and tools would be beneficial for this role, as the DevOps Engineer will be supporting the firm's AI systems directly.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with Kubernetes, CI/CD pipelines, and monitoring tools through relevant projects.
Showcase your ability to design, implement, and maintain scalable infrastructure.
Highlight your problem-solving skills and experience with troubleshooting and issue resolution.

Technical Documentation:

Provide clear and concise documentation for your projects, explaining your approach, tools used, and any challenges faced.
Include any relevant metrics or performance data to demonstrate the success of your implementations.

📝 Enhancement Note: As this role involves working with cutting-edge AI technologies, it would be beneficial to include any projects that demonstrate your ability to work with emerging technologies and adapt to new environments.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Tel Aviv, Israel, is ₪350,000 - ₪450,000 per year (approximately $105,000 - $135,000 USD). This estimate is based on regional market standards for DevOps Engineers with 4-10 years of experience.

Benefits:

Competitive benefits package, including health insurance and retirement plans.
Opportunities for professional development and training.
A dynamic and collaborative work environment with a focus on innovation and continuous learning.

Working Hours: The standard workweek is 40 hours, with flexible scheduling to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: While the salary range provided is an estimate, the final offer will be determined based on the candidate's qualifications, experience, and market conditions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Millennium is a leading global financial services firm, specializing in investment banking, asset management, and wealth management. The company's AI-driven solutions enable its clients to leverage Large Language Models (LLMs) in their daily workflows.

Company Size: Millennium has approximately 16,000 employees worldwide, providing a large and diverse team for collaboration and growth opportunities.

Founded: Millennium was founded in 2000 and has since grown to become a global leader in financial services, with a strong commitment to innovation and technology.

Team Structure:

The Core AI Development Team consists of software engineers, data scientists, and DevOps engineers working together to develop, maintain, and enhance the firm's AI systems.
The team follows an Agile/Scrum methodology, with regular sprint planning and code reviews to ensure high-quality software delivery.
The DevOps Engineer will work closely with the development team, providing infrastructure support and collaborating on CI/CD processes.

Development Methodology:

The team follows an Agile/Scrum methodology, with two-week sprints and regular stand-ups to ensure efficient collaboration and progress tracking.
Code reviews and pair programming are encouraged to maintain high coding standards and knowledge sharing.
The team uses CI/CD pipelines to automate build, test, and deployment processes, ensuring rapid and reliable software delivery.

Company Website: https://www.mlp.com/

📝 Enhancement Note: Millennium's commitment to innovation and technology makes it an ideal place for a DevOps Engineer looking to work with cutting-edge AI systems and collaborate with talented colleagues.

📈 Career & Growth Analysis

Web Technology Career Level: This role is suitable for a DevOps Engineer with 4-10 years of experience, seeking to advance their career in infrastructure management, automation, and monitoring. The ideal candidate will have a proven track record of designing and implementing scalable and reliable systems.

Reporting Structure: The DevOps Engineer will report directly to the Head of Core AI Development, working closely with the development team to ensure the success of the firm's AI-driven solutions.

Technical Impact: The DevOps Engineer will play a critical role in ensuring the stability, scalability, and efficiency of the firm's AI systems. Their work will directly impact the firm's ability to leverage AI at scale, enabling its clients to access cutting-edge financial services and insights.

Growth Opportunities:

Technical Leadership: As the team grows, there may be opportunities for the DevOps Engineer to take on a more senior role, mentoring junior team members and driving technical decision-making.
Specialization: The DevOps Engineer may choose to specialize in a particular area, such as cloud infrastructure or AI-specific workflows, to deepen their expertise and expand their impact on the team.
Architecture Decisions: As the firm's AI systems evolve, the DevOps Engineer will have the opportunity to contribute to architecture decisions, shaping the future of the firm's technology stack.

📝 Enhancement Note: This role offers significant growth potential for a DevOps Engineer looking to advance their career in infrastructure management and make a meaningful impact on the firm's AI-driven solutions.

🌐 Work Environment

Office Type: Millennium's Tel Aviv office is a modern, collaborative workspace designed to foster innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas, encouraging team interaction and knowledge sharing.

Office Location(s): The Tel Aviv office is located in the heart of the city's financial district, with easy access to public transportation and nearby amenities.

Workspace Context:

Collaboration: The open-plan workspace encourages collaboration and communication between team members, fostering a culture of knowledge sharing and continuous learning.
Tools and Equipment: The office is equipped with state-of-the-art technology, including multiple monitors, testing devices, and development tools to support the team's work.
Cross-Functional Interaction: The DevOps Engineer will work closely with software engineers, data scientists, and other teams within the firm to ensure the success of the firm's AI-driven solutions.

Work Schedule: The standard workweek is 40 hours, with flexible scheduling to accommodate project deadlines and maintenance windows. The team follows an Agile/Scrum methodology, with regular sprint planning and stand-ups to ensure efficient collaboration and progress tracking.

📝 Enhancement Note: Millennium's collaborative work environment and focus on innovation make it an ideal place for a DevOps Engineer looking to work with cutting-edge AI systems and grow their career in infrastructure management.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen: A 30-minute phone or video call to assess your technical skills and understanding of DevOps principles. Be prepared to discuss your experience with Kubernetes, CI/CD pipelines, and monitoring tools.
Technical Deep Dive: A 60-minute session to explore your technical expertise in more detail. You may be asked to describe your approach to infrastructure management, automation, and monitoring, as well as your experience with specific tools and technologies.
Behavioral and Cultural Fit: A 30-minute conversation to assess your problem-solving skills, communication style, and cultural fit within the team. Be prepared to discuss your approach to collaboration, troubleshooting, and continuous improvement.
Final Interview: A 30-minute meeting with the Head of Core AI Development to discuss your qualifications, answer any remaining questions, and make a final decision.

Portfolio Review Tips:

Highlight your experience with Kubernetes, CI/CD pipelines, and monitoring tools through relevant projects.
Demonstrate your ability to design, implement, and maintain scalable infrastructure.
Showcase your problem-solving skills and experience with troubleshooting and issue resolution.
Include any projects that demonstrate your ability to work with emerging technologies and adapt to new environments.

Technical Challenge Preparation:

Familiarize yourself with Kubernetes, CI/CD pipelines, and monitoring tools, as these will be the focus of the technical interviews.
Brush up on your scripting skills, as you may be asked to write code or explain your approach to automation and infrastructure management.
Prepare for behavioral and situational questions that assess your problem-solving skills, communication style, and cultural fit within the team.

ATS Keywords: See the comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category at the end of this document.

📝 Enhancement Note: Millennium's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit within the team. By preparing thoroughly and showcasing your experience with relevant projects and technologies, you can increase your chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

Infrastructure Technologies:

Kubernetes: The firm's AI systems are built on a Kubernetes-based infrastructure, enabling scalability, reliability, and efficient resource management.
DataDog: DataDog is used for monitoring and observability, providing real-time insights into system performance and enabling proactive issue resolution.
Terraform and Helm: Infrastructure-as-code tools Terraform and Helm are used to manage and deploy the firm's AI systems, ensuring consistent and automated infrastructure management.

CI/CD Tools:

Jenkins: Jenkins is used to automate build, test, and deployment processes, ensuring rapid and reliable software delivery.
GitLab CI/CD: GitLab CI/CD is used to manage and monitor CI/CD pipelines, enabling efficient collaboration and communication between development teams.

Scripting Languages:

Python and Bash: Python and Bash are used for scripting and automation tasks, enabling the DevOps Engineer to design and implement efficient workflows and processes.

📝 Enhancement Note: Familiarity with the firm's technology stack, including Kubernetes, DataDog, Terraform, Helm, Jenkins, and GitLab CI/CD, will be essential for success in this role. The ideal candidate will have experience working with these tools and a strong desire to learn and adapt to new technologies as needed.

👥 Team Culture & Values

Web Development Values:

Innovation: Millennium encourages its teams to explore new technologies and approaches to problem-solving, fostering a culture of continuous learning and improvement.
Collaboration: The firm values open communication and collaboration, with a strong emphasis on knowledge sharing and teamwork.
Quality: Millennium is committed to delivering high-quality software and solutions, with a focus on reliability, performance, and user experience.
Customer Focus: The firm's AI-driven solutions are designed to meet the needs of its clients, with a strong emphasis on understanding and addressing their unique challenges and requirements.

Collaboration Style:

Cross-Functional Integration: The DevOps Engineer will work closely with software engineers, data scientists, and other teams within the firm to ensure the success of the firm's AI-driven solutions.
Code Review Culture: The team follows a code review process to ensure high coding standards and knowledge sharing.
Peer Programming: Pair programming is encouraged to enhance collaboration, knowledge sharing, and code quality.

📝 Enhancement Note: Millennium's commitment to innovation, collaboration, and high-quality software delivery makes it an ideal place for a DevOps Engineer looking to work with cutting-edge AI systems and grow their career in infrastructure management.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: The firm's AI systems must be designed to scale efficiently to meet the growing demands of its clients. The DevOps Engineer will be responsible for ensuring that the infrastructure can support this growth while maintaining optimal performance and reliability.
Monitoring and Observability: The firm's AI systems generate a large amount of data, making it crucial to implement effective monitoring and observability tools to ensure proactive issue resolution and continuous improvement.
Emerging Technologies: As the firm's AI systems evolve, the DevOps Engineer may be required to work with emerging technologies and adapt to new environments to ensure the firm's continued success.

Learning & Development Opportunities:

Technical Skill Development: The DevOps Engineer will have the opportunity to deepen their expertise in infrastructure management, automation, and monitoring, working with cutting-edge AI systems and collaborating with talented colleagues.
Conference Attendance and Certification: Millennium encourages its employees to attend industry conferences and pursue relevant certifications to enhance their skills and knowledge.
Technical Mentorship and Leadership Development: As the team grows, the DevOps Engineer may have the opportunity to mentor junior team members and drive technical decision-making, expanding their impact on the firm's AI-driven solutions.

📝 Enhancement Note: Millennium's commitment to innovation and continuous learning makes it an ideal place for a DevOps Engineer looking to work with cutting-edge AI systems and grow their career in infrastructure management.

💡 Interview Preparation

Technical Questions:

Kubernetes: Be prepared to discuss your experience with Kubernetes, including deployment, scaling, and troubleshooting. You may be asked to explain your approach to infrastructure management, automation, and monitoring.
CI/CD Pipelines: Demonstrate your understanding of CI/CD pipelines, including their design, implementation, and optimization. Be prepared to discuss your experience with specific tools and technologies, such as Jenkins and GitLab CI/CD.
Monitoring and Observability: Showcase your experience with monitoring and observability tools, particularly DataDog. Be prepared to discuss your approach to proactive issue resolution and continuous improvement.

Company & Culture Questions:

AI-Driven Solutions: Demonstrate your understanding of the firm's AI-driven solutions and their impact on the financial services industry. Be prepared to discuss your approach to working with emerging technologies and adapting to new environments.
Collaboration and Communication: Explain your approach to collaboration and communication within a team environment. Be prepared to discuss your experience with cross-functional teams and your ability to work effectively with diverse stakeholders.
Problem-Solving: Describe your problem-solving approach and your ability to work under pressure to resolve infrastructure-related issues. Be prepared to discuss your experience with troubleshooting and issue resolution.

Portfolio Presentation Strategy:

Live Demo: Prepare a live demo of your relevant projects, highlighting your experience with Kubernetes, CI/CD pipelines, and monitoring tools.
Code Walkthrough: Be prepared to walk through your code, explaining your approach to infrastructure management, automation, and monitoring.
Architecture Decision Reasoning: Demonstrate your ability to make informed decisions about system architecture, considering factors such as scalability, reliability, and performance.

📝 Enhancement Note: Millennium's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit within the team. By preparing thoroughly and showcasing your experience with relevant projects and technologies, you can increase your chances of success in the interview process.

📌 Application Steps

To apply for this DevOps Engineer - Core AI position:

Submit Your Application: Click the application link provided in the job listing and complete the online application form.
Prepare Your Portfolio: Customize your portfolio to highlight your experience with Kubernetes, CI/CD pipelines, and monitoring tools. Include live demos and responsive examples to showcase your technical skills and problem-solving abilities.
Optimize Your Resume: Tailor your resume to emphasize your relevant experience and technical skills, using the ATS keywords provided at the end of this document to optimize your application for web technology roles.
Prepare for Technical Interviews: Brush up on your technical skills, focusing on Kubernetes, CI/CD pipelines, and monitoring tools. Practice coding challenges and portfolio presentation strategies to ensure you're ready for the interview process.
Research the Company: Familiarize yourself with Millennium's AI-driven solutions and their impact on the financial services industry. Understand the firm's commitment to innovation, collaboration, and high-quality software delivery to ensure a strong cultural fit within the team.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to DevOps Engineer roles, with a focus on infrastructure management, automation, and monitoring.
Include Kubernetes, CI/CD pipelines, and monitoring tools in relevant sections, with a focus on their application to AI-driven solutions.
Emphasize the candidate's ability to work with emerging technologies and adapt to new environments, as this is crucial for success in this role.

Quality Standards:

Ensure no content overlap between sections, with each section containing unique information relevant to the role.
Use Enhancement Notes sparingly and only when making significant inferences about the role, the company, or the web technology industry.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute web development and server administration-related keywords throughout all sections naturally, with a focus on infrastructure management, automation, and monitoring.

Industry Expertise:

Include specific infrastructure management, automation, and monitoring tools relevant to the role, with a focus on their application to AI-driven solutions.
Address the candidate's ability to work with emerging technologies and adapt to new environments, as this is crucial for success in this role.
Provide tactical advice for portfolio development, live demonstrations, and project case studies, with a focus on infrastructure management, automation, and monitoring.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout the document.
Use web technology and infrastructure management terminology appropriately and accurately, with a focus on Kubernetes, CI/CD pipelines, and monitoring tools.
Include comprehensive benefits and growth opportunities relevant to DevOps Engineers, with a focus on professional development, technical skill advancement, and leadership potential.
Provide actionable insights that give web technology professionals a competitive advantage in the interview process.

Technical Focus & Portfolio Emphasis:

Emphasize the candidate's experience with Kubernetes, CI/CD pipelines, and monitoring tools, as these are crucial for success in this role.
Include specific portfolio requirements tailored to the DevOps Engineer role, with a focus on infrastructure management, automation, and monitoring.
Address the candidate's ability to work with emerging technologies and adapt to new environments, as this is crucial for success in this role.
Focus on problem-solving methods, performance optimization, and scalable architecture, with a particular emphasis on infrastructure management, automation, and monitoring.

Avoid:

Generic business jargon not relevant to DevOps Engineer roles, with a focus on infrastructure management, automation, and monitoring.
Placeholder text or incomplete sections, as this can be misleading and confusing for candidates.
Repetitive content across different sections, as this can be confusing and redundant for candidates.
Non-technical terminology unless relevant to the specific DevOps Engineer role, with a focus on infrastructure management, automation, and monitoring.

ATS Keywords:

Programming Languages: Python, Bash, Shell, Go, Java, C++, C#, Ruby, JavaScript, TypeScript
Web Frameworks: React, Angular, Vue.js, Node.js, Express, Flask, Django, Ruby on Rails, Laravel, ASP.NET
Server Technologies: Linux, Windows, macOS, Docker, Kubernetes, AWS, GCP, Azure, VMware, OpenStack, Terraform, Ansible, Puppet, Chef
Databases: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, Oracle, SQL Server, MariaDB, SQLite, Couchbase, DynamoDB, Azure Cosmos DB, Google Cloud Spanner
Tools: Jenkins, GitLab CI/CD, Travis CI, CircleCI, GitHub Actions, AWS CloudFormation, Terraform, Helm, Ansible, Puppet, Chef, Docker Compose, Kubernetes Helm, Prometheus, Grafana, DataDog, New Relic, AppDynamics, Nagios, Zabbix, ELK Stack, Splunk, Logstash, Kibana, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK Stack, ELK, ELK 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DevOps Engineer - Core AI