DataDog Engineer – LLM Observability Manager

Job description

**Specialty/Competency:** Cybersecurity & Privacy
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 40%

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions.

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.

You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.

You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations.

With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm.

You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

+ Analyse and identify the linkages and interactions between the component parts of an entire system.
+ Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
+ Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
+ Develop skills outside your comfort zone, and encourage others to do the same.
+ Effectively mentor others.
+ Use the review of work as an opportunity to deepen the expertise of team members.
+ Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics team you will architect and implement observability solutions for Large Language Models, providing real-time insights into critical workflows.

As a Manager, you will lead teams in developing quality deliverables while cultivating meaningful client relationships and navigating complex challenges.

This role offers the chance to leverage advanced technology and innovation, driving success in a rapidly evolving field.

Responsibilities

- Enhance DataDog integrations for improved monitoring capabilities

- Work with cross-functional teams to achieve project goals

- Mentor team members to develop their technical skills

What You Must Have

- Bachelor's Degree in Mathematics, Engineering, Computer Science

- At least 5 years of hands-on experience with DataDog

What Sets You Apart

- Master's Degree preferred

- Experience in architecting DataDog integrations

- Developing and maintaining observability for LLM platforms

- Working with cross-functional teams for automation

- Leading root-cause investigations for LLM incidents

- Contributing to open-source DataDog integrations

- Publishing or presenting in LLM observability field

- Engaging with DataDog and MLOps communities

- Experience with additional observability platforms

- Possessing specialization in architecting observability across large-scale LLM or GenAI systems

- Proficient in instrumenting Python, Node.js, Java, or Go applications

- Demonstrated experience with cloud-native infrastructure (AWS, Azure, GCP)

- Extensive understanding of LLM architectures, embeddings, and evaluation metrics

- Ability to implement and manage DataDog security monitoring and compliance reporting

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.



For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.

At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members.

We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus.

For roles that are based in Maryland, this is the listed salary range for this position.

Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Required Skill Profession

Other General