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Member of Technical Staff - Software Engineering - WR Analytics

Aptiv

Member of Technical Staff - Software Engineering - WR Analytics

Aptiv

CAN Kanata (2), ON - WR

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Generous paid time off and holidays

Parental leave

Professional development budget

401(k) matching

Flexible Hours

Parental Leave

Learning

Required Skills

Python

JavaScript

PostgreSQL

About Wind River

At Wind River, we use analytics tools such as Elasticsearch and Kibana to accelerate the development of solutions that allow our customers to visualize their networks and act on issues. We have adopted these technologies into Wind River Cloud Analytics. The growth of this product drives us to find experienced and high-performing individuals that can learn and contribute to these analytics solutions.

The right candidate will possess proven software engineering skills. You are expected to be versatile and thrive in a dynamic environment. You are comfortable managing competing priorities and can bring order to ambiguous scenarios. Maturity, impeccable judgment, and the ability to influence and lead are essential to success in this role.

Primary Responsibilities

  • Develop Analytics features with high-quality design and code
  • Develop test automation as required to delivery high quality code
  • Investigate and resolve issues reported during product verification and customer integration
  • Work as part of a team focused on building world-class analytics solutions
  • Participate in all aspects of the software development process, plan, design, develop and test, using agile development

Qualifications

  • Bachelor / Master degree in Computer Science or related field
  • Overall 10+ years of professional software development experience
  • 5+ years of programming experience with Python
  • 3+ years working directly with the ELK stack
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Experience with containers and cloud-based technologies, including Docker, Kubernetes(k8s), and Helm

Preferred Qualifications

  • Six or more years of professional experience building infrastructure software for highly scalable and distributed systems
  • Track record of building and delivering mission-critical, 24x7 production software systems
  • Expertise in Python, Kubernetes, and the ELK stack
  • Strong sense of ownership, urgency, and drive
  • Strong analytical and debugging skills
  • Excellent written and oral communication skills

Benefits

  • Workplace Flexibility
  • Company-sponsored health, dental, and life insurance
  • Income protection through short and long-term disability coverage
  • Matching RRSP
  • Vacation and various time off policies to encourage work-life balance
  • Well-being programs: Employee assistance program, mental well-being through Unmind
  • Learning benefits: LinkedIn Learning subscription and seminars

  • Privacy Notice
  • Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Headquartered in Dublin, Aptiv has approximately 180,000+ employees and operates 12 technical centers, as well as manufacturing sites and customer support centers in 44 countries. Visit aptiv.com.

Please review Aptiv's privacy policy by following this link: https://www.aptiv.com/privacy-notice

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About Aptiv

Aptiv

A global technology company that develops safer, greener, and more connected solutions, which enable the future of mobility.

10,001+

Employees

Dublin

Headquarters

Reviews

3.8

5 reviews

Work Life Balance

2.5

Compensation

2.8

Culture

3.2

Career

3.0

Management

2.3

Pros

Cutting-edge automotive technology and innovation

Interesting projects with real impact

Great team members and colleagues

Cons

Poor work-life balance during projects

Job instability and mass layoffs

Bad management and leadership

Salary Ranges

295 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$67,909

total / year

Base

$27,164

Stock

$33,955

Bonus

$6,791

$47,536

$88,282

Interview Experience

4 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

Resume Review

3

Recruiter Screen

4

Phone Interview

5

Final Interview

6

Offer Decision

Common Questions

Behavioral/STAR

Past Experience

Culture Fit

Industry Knowledge

Leadership Scenarios