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Added 2 mins ago
Lead Site Reliability Engineer
Lumen
Tallahassee, FL
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), including compute, networking, and identity services
Added 2 mins ago
Director, Data Science - Consumer and Developer Experience (Remote-Eligible)
Capital One
Tallahassee, FL
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Added 2 mins ago
Cyber Security Intern
Lyric
Tallahassee, FL
Support the Security team in monitoring and maintaining security controls across AWS, Microsoft Azure, corporate networks, and endpoints
Added 2 mins ago
Sr. Platform Engineer - Jfrog Expert - Remote US
SitusAMC
Tallahassee, FL
…Cloud technologies such as Docker, Kubernetes, in general, and AWS-specific cloud components such as EC2, EKS, AWS Lamda functions, API Gateway, and RDS. The Engineer is expected to provide…
Added 3 mins ago
Senior Consultant Cyber Engineering - BISO
Deloitte
Tampa, FL · Jacksonville, FL · Tallahassee, FL
Serve as a subject matter expert in at least one security-related functional area (e.g. specific malware solution, AI, python programming, digital forensics, etc.)
Added 3 mins ago
TW
Enterprise Technology & Data Software Engineering Intern, Summer 2027
The Walt Disney Company
Orlando, FL
- $43 USD / hour
…workflows, and engineering tools using technologies such as Python, Java, JavaScript/TypeScript, Go, and…
Added 3 mins ago
Applications Development Sr Programmer Analyst - Assistant Vice President
Citigroup
Tampa, FL
Hands-on experience with Docker, Kubernetes, AWS, and Azure .
Added 4 mins ago
Software Engineering Intern (Boston)
Sonos, Inc.
Boston, MA
Using AI tools to automate critical software development workflows to improve developer productivity, experience, and security.
Added 4 mins ago
DS
(1118678) Senior Software Development Engineer in Test (Senior SDET)
Diversified Services Network, Inc.
Remote, United States
- $155,000 to $165,000 USD / year
Development experience with AWS cloud technologies
Added 5 mins ago
AC
Cloud Engineer
American College of Radiology
Reston, VA
- $92,900 to $123,900 USD / year
The Cloud Engineer focuses on building and maintaining reliable, scalable AWS cloud infrastructure while managing core services like VPC, EC2, ECS, Lambda, API Gateway, S3, and more. You’ll…
Added 7 mins ago
UG
Lead AI/ML Engineer
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
Demonstrated solid proficiency in Python and modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, PyTorch, or TensorFlow
Added 7 mins ago
Senior Full Stack Developer (Data Engineering)
Global Information Technology
Southfield, MI
Job Title: Senior Full Stack Developer (Data Engineering)
Added 7 mins ago
Senior Software Engineer
Belay Technologies
Annapolis Junction, MD
…end-to-end functionality and performance. We're looking for a developer who is excited to contribute to all aspects of this system and who also brings an interest in improving team…
Added 20 mins ago
Principal Data Scientist
Navy Federal Credit Union
Vienna, VA
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Added 21 mins ago
Full Stack Engineer 5
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 21 mins ago
Full-stack Engineer 4
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 21 mins ago
Full-stack Engineer 4 (Bank Tech)
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 21 mins ago
Principal Associate, Data Scientist - SBB Fraud
Capital One
McLean, VA
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Added 21 mins ago
Full-stack Engineer 4
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 21 mins ago
Full-Stack Engineer 4 (Python, Kubernetes)
Capital One
NY · McLean, VA · Cambridge, MA
Utilize programming languages like Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and…
Added 21 mins ago
AI Engineer 4 (Gen AI Platform Services: Agentic Systems)
Capital One
San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA · NY
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 27 mins ago
Cyber Exploiter/Vulnerability Assessment Engineer (TS/SCI with Poly Required)
GCI
Chantilly, VA
Develop new assessment scripts using Python, Perl, Ruby, and .NET
Added 27 mins ago
Platform Engineering Senior Associate
DTCC Candidate Experience
Tampa, FL · Coppell, TX · Boston, MA · Dallas, TX
Infrastructure & IaC: Linux (RHEL), Chef, Terraform, Ansible, Shell/Python scripting.
Added 29 mins ago
DevOps Engineer
The Swift Group
United States
This position requires expertise in Kubernetes, AWS, automation tools and scripting, with the opportunity to support cutting-edge Big Data platforms. You will help architect, deploy, and…
Added 31 mins ago
IG
Remote Senior Data Engineer (Databricks, dbt, SQL, Python, AWS)
Insight Global
Remote, United States
- From $68 USD / hour
Develop and maintain data pipelines using DBT, PySpark, Databricks, and AWS.

NetApp

Manager, Analytics Software Engineering

Morrisville, NC, United States

The target salary range for this position is $170,000 - $220,000.

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Job details

Pay: The target salary range for this position is $170,000 - $220,000.
Posting language: English
Posted: Sep 2, 2026

Original job description

Job Summary

NetApp is seeking a hands-on, innovative Software Engineering Manager to lead globally distributed software engineering and data science teams responsible for AI-driven analytics, recommendation systems, intelligent insights, and customer success platforms. This leader will manage teams across multiple locations, building scalable platforms that turn data into actionable intelligence. The role combines strong engineering management with practical expertise in AI, machine learning, and emerging technologies.

The ideal candidate is a hands-on engineering leader with the technical credibility to guide architecture, solve complex problems, and unblock teams, as well as the organizational leadership to develop people, align distributed teams, and deliver measurable outcomes across a diverse portfolio.

We are looking for someone who is:

An AI-first leader who combines technical credibility with the ability to build, coach, and scale distributed engineering and data science teams.
A practical executor who balances innovation, speed, quality, security, scalability, and operational discipline.
A business-focused partner who connects technology investments to measurable customer, product, and organizational impact.
This player-coach combines people leadership with technical depth, an AI-first mindset, and a bias for action. They will guide architecture and critical decisions, stepping in selectively to prototype, troubleshoot, or unblock teams while maintaining accountability through technical leads.

What You'll Do

Lead by Example

Serve as a hands-on technical leader who earns credibility through sound judgment, ownership, and execution.
Partner with engineers, data scientists, architects, and product leaders to guide architecture, resolve critical issues, and turn ambiguity into action.

Drive an AI-First Engineering Culture

Champion responsible AI-first thinking across products, engineering productivity, and business problem-solving.
Help teams apply machine learning, Generative AI, agents, recommendation systems, and predictive models to deliver measurable value.
Promote responsible, secure, scalable AI adoption while encouraging rapid experimentation and continuous learning.

Lead Global Engineering and Data Science Teams

Lead and develop software engineering, data science, and technical leadership talent across multiple geographic locations.
Establish clear decision rights, technical ownership, delivery accountability, and cross-geo collaboration.
Build an inclusive, high-accountability culture and support hiring, career development, performance management, and succession planning.

Deliver Strategic Products and Platforms

Own execution and operational health across strategic products, shared platforms, and technical workstreams, balancing near-term delivery with architecture investments.
Translate priorities into outcome-based roadmaps with clear milestones, ownership, dependencies, risks, and success measures.
Ensure visible execution while balancing speed, security, quality, scalability, reliability, and production readiness.

Shape Technical and Product Strategy

Partner with product, architecture, data, and business leaders to shape strategy and connect engineering investments to measurable outcomes.
Promote reusable platforms, scalable patterns, pragmatic technology choices, and shared capabilities.

Build Strong Stakeholder Partnerships

Build strong partnerships with product, program, architecture, analytics, and business leaders.
Communicate roadmaps, trade-offs, progress, operational health, risks, and investment needs using measurable outcomes.
Align distributed teams around shared priorities, architecture, and execution discipline.

Required Qualifications

Bachelor’s or master’s degree in computer science, engineering, data science, or a related field, or equivalent practical experience.
8+ years in software engineering, data platforms, data science, or related disciplines, including 4+ years managing cross-functional technical teams and leading senior engineers, technical leads, or managers.
Experience leading globally distributed teams with clear ownership, effective decision-making, and reliable delivery across time zones.
Proven delivery of enterprise-scale, data-intensive, or AI-enabled products from concept through production.
Strong understanding of software architecture, APIs, data pipelines, cloud platforms, and production operations, with the ability to assess trade-offs across software, data, and AI systems.
Working knowledge of machine learning, predictive modeling, Generative AI, and the lifecycle for deploying, monitoring, and governing AI-enabled solutions.
Ability to translate ambiguous business problems into clear technical approaches and communicate effectively with senior stakeholders.

Preferred Technical Experience

Experience leading enterprise applications, data platforms, and analytics solutions using modern software, data, and cloud technologies; familiarity with Python, C#, .NET, SQL Server, Azure Data Factory, Azure Databricks, Spark, or Power BI is beneficial.
Experience with modern data architectures, APIs, microservices, cloud-native applications, and large-scale structured and unstructured data.
Experience building or scaling machine learning, recommendation, predictive analytics, or intelligent decision-support solutions.
Familiarity with Azure OpenAI, LLMs, RAG, AI agents, vector databases, MLOps, model monitoring, and responsible AI.
Knowledge of DevOps, CI/CD, automated testing, observability, and production operations.
Ability to evaluate emerging technologies and apply them pragmatically to business opportunities.
Remains technically engaged in architecture reviews, prototypes, design discussions, production troubleshooting, and AI strategy without becoming the teams’ primary implementer.

Compensation:

The target salary range for this position is $170,000 - $220,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

136157

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment - you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed - they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support - rather than replace - human decision-making.

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