Software Development Engineer

Posted Yesterday
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Austin, TX, USA
In-Office
Senior level
Hardware • Other • Appliances
The Role
Design and implement intelligent web applications, build and deploy production ML models, and support scalable systems. Work across data exploration, model development, feature engineering, and application deployment. Troubleshoot performance issues, collaborate in Agile teams, and bridge data science experiments with production-grade software engineering.
Summary Generated by Built In
Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

We are seeking a highly capable Software Development Engineer III (SDE III) who also functions as a Data Scientist, combining strong software engineering expertise with advanced analytics and machine learning capabilities. This position will be based onsite in Austin, TX.

This hybrid role is responsible for designing intelligent web applications, building and deploying ML models, and supporting production systems. You will work across the full lifecycle—from data exploration and model development to scalable application deployment and ongoing support.

What a typical day looks like:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of experience in software engineering, data science, or machine learning.
  • Strong proficiency in C# and SQL with experience developing frontend and backend applications, APIs, and automation solutions using .NET technologies
  • Python or Vanilla JS experience a plus
  • Experience building, deploying, and supporting machine learning models and data-driven applications in production environments.
  • Knowledge of machine learning frameworks, statistics, data analysis, feature engineering, and model optimization.
  • Strong understanding of software design, data structures, algorithms, and system architecture.
  • Ability to troubleshoot, debug, and resolve complex application and model performance issues.
  • Experience collaborating in Agile development environments and communicating effectively with technical and business stakeholders.
  • Self-motivated with strong problem-solving skills, an ownership mindset, and the ability to independently deliver complex solutions.

The experience we’re looking to add to our team

  • Experience with MLOps tools, CI/CD pipelines, and model monitoring.
  • Hands-on experience with Generative AI, LLMs, and OpenAI APIs.
  • Proven ability to bridge data science experimentation with production-grade software engineering.

What you'll receive for the great work you provide:

  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and Long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement

Application Deadline:

Applications for this job position will be accepted for at least five days following the job posting start date below and continuing until the end date below or until the position is filled. This posting may close sooner due to application volume.

Job Posting Start Date 08-14-2026 Job Posting End Date 08-19-2026 Job CategoryProduction Engineering

Is Sponsorship Available?

No

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email [email protected] and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in software engineering, data science, or machine learning
  • Strong proficiency in C# and SQL with experience developing frontend and backend applications, APIs, and automation using .NET technologies
  • Experience building, deploying, and supporting machine learning models and data-driven applications in production environments
  • Knowledge of machine learning frameworks, statistics, data analysis, feature engineering, and model optimization
  • Strong understanding of software design, data structures, algorithms, and system architecture
  • Ability to troubleshoot, debug, and resolve complex application and model performance issues
  • Experience collaborating in Agile development environments and communicating with technical and business stakeholders
  • Self-motivated with strong problem-solving skills, ownership mindset, and ability to independently deliver complex solutions
  • Python or Vanilla JavaScript experience
  • Experience with MLOps tools, CI/CD pipelines, and model monitoring
  • Hands-on experience with Generative AI, LLMs, and OpenAI APIs
  • Proven ability to bridge data science experimentation with production-grade software engineering

Flex Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flex and has not been reviewed or approved by Flex.

  • Healthcare Strength Health, dental, and vision coverage begin on day one with options for dependents, alongside disability, life, mental‑health resources, and fertility/adoption and gender transition support. Plan choice and wellness programs indicate a robust healthcare offering.
  • Leave & Time Off Breadth Paid holidays, paid sick time, company‑wide shutdown days, and in some cases unlimited PTO point to extensive time‑off provisions. Flexible and hybrid work arrangements in certain teams further support work‑life balance.
  • Strong & Reliable Incentives Quarterly bonus checks and performance bonuses supplement base pay, and some roles can earn overtime at 1.5x. These elements strengthen the reliability of cash incentives.

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The Company
HQ: Austin, Texas
52,479 Employees
Year Founded: 1969

What We Do

We’re the manufacturing partner of choice that helps a diverse customer base design and build products that improve the world. We love to hear your thoughts, comments and ideas so feel free to like, share and comment away. Any question or opinion is good to go as long as it is respectful and falls within the scope of this page. Derogatory comments, spam and unsolicited selling are not welcome here and such posts will be removed.

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