Manager, Software Engineering

Reposted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Information Technology • Consulting
The Role
The role involves leading a team of machine learning engineers, overseeing the development of data pipelines and telemetry systems, and managing engineering tasks to support operational excellence.
Summary Generated by Built In

The Manager, Software Engineering - Machine Learning & Telemetry Engineering leads and develops a team of machine learning engineers responsible for building, scaling, and maintaining QTS’s telemetry, analytics, automation, and data‑driven product capabilities. This role oversees engineering work that enables automated device configuration, telemetry ingestion pipelines, environmental and fuel calculation logic, system topology modeling, and machine‑learning‑powered insights that support operational excellence across QTS facilities.

Responsibilities:

  • Lead, mentor, and develop a team of software development and Machine Learning professionals.

  • Plan, coordinate, and oversee ML, telemetry, automation, and data‑pipeline engineering activities.

  • Manage engineering capacity, performance, and sprint commitments.

  • Oversee ML models, telemetry pipelines, automation workflows, cloud infrastructure and environmental logic.

  • Guide design and implementation of integrations (Influx, Redis, CX Alloy, Oracle/ServiceNow, SCADA APIs).

  • Champion coding best practices, reproducibility, validation, and observability.

  • Maintain engineering documentation and enforce production‑readiness standards.

  • Collaborate with teams across QTS such as FacOps, QTSOS, Facilities, EHS, SCADA/Network teams.

  • Align engineering deliverables with business priorities.

Basic Qualifications:

  • Bachelor’s degree in computer science, Engineering, Data Science, or equivalent experience.

  • US Citizenship for this position is required by law due to federal customer contracts.

  • 5+ years in ML, data pipelines, backend engineering, or systems integration.

  • 2+ years leading engineers.

  • Experience deploying ML or data‑driven systems to production.

  • Strong architectural and system‑design experience.

  • Proficiency with Python, SQL, APIs, distributed processing.

Preferred Qualifications:

  • 8+ years in ML, data pipelines, backend engineering, or systems integration.

  • Experience with telemetry/SCADA‑adjacent systems.

  • Familiarity with Influx, Grafana, Redis.

  • Experience with cloud‑based (AWS) ML workflows or model governance.

  • Ability to triage issues across data, ML, and infrastructure.

  • Strong documentation and communication skills.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Excellent interpersonal skills (communication, conflict resolution, negotiation, etc.) when dealing with internal and/or external audiences at all levels of management

  • Excellent technical, diagnostic, and troubleshooting skills

  • Ability to determine prioritization and appropriate multitasking.

  • Focus on scope, tone, and quality of processes and their respective documentation, as well as the associated goals, priorities, deadlines, and weaknesses.

  • Ability to work independently, with supervision, on a project of varying complexity

  • Proven negotiator with the ability to juggle multiple competing tasks with ease

  • Sound influential and motivational skills to ensure software engineering team alignment

TOTAL REWARDS

  • This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; employee assistance program; tuition assistance; parental leave; military leave assistance; QTS scholarship for dependents; wellness program, and other company benefits.

  • This position is bonus eligible.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action.  We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings.  We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law.  We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Top Skills

APIs
AWS
Grafana
Influx
Python
Redis
SQL
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The Company
Chicago, , IL ,
1,480 Employees
Year Founded: 2005

What We Do

QTS Realty Trust, LLC. is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of owned mega scale data center space throughout North America. Through its software-defined technology platform, QTS is able to deliver secure, compliant infrastructure solutions, robust connectivity and premium customer service to more than 1,100 leading hyperscale technology companies, enterprises, and government entities

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