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Manager, Software Engineering (Data Engineering)

Manager, Software Engineering (Data Engineering)

PayPalBengaluru, Karnataka, India
10 hours ago
Job description

Description

Your Day-to-Day :

  • Provide technical leadership and guidance to teams of software engineers, fostering a culture of collaboration, innovation, and continuous improvement.
  • Establish outcomes and key results (OKRs) and successfully deliver them. Drive improvements in key performance indicators (KPIs).
  • Increase the productivity and velocity of delivery teams.
  • Develop, plan, and execute engineering roadmaps that bring value and quality to our customers.
  • Collaborate and coordinate across teams and functions to ensure technical, product, and business objectives are met.
  • Instill end-to-end ownership of products, projects, features, modules, and services that you and your team deliver in all phases of the software development lifecycle.

What do you need to bring :

  • 10+ years of experience in the software industry, with 3+ years of professional experience leading software development teams.
  • Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges.
  • Experience building and developing engineering teams that exhibit strong ownership, user empathy, and engineering excellence.
  • Proven track record of delivering high-quality systems and software in Big Data Technologies including Spark, Airflow, Hive, etc., with practical exposure to integrating machine learning workflows into data pipelines.
  • Proven track record of delivering high-quality systems and software in Java / J2EE technologies and distributed systems, with experience deploying ML models into production at scale using REST APIs, streaming platforms, or batch inference.
  • Excellent communication skills with the ability to collaborate effectively with cross-functional teams (including data scientists and ML engineers) and manage stakeholders’ expectations.
  • Ability to coach and mentor talent to reach their full potential, including guiding teams in adopting MLOps best practices and understanding AI model lifecycle management.
  • Experience in building large scale, high throughput, low latency systems, including real-time data processing systems that support personalization, anomaly detection, or predictive analytics.
  • Strong understanding of software development methodologies, modern technology topics and frameworks, and developer operations best practices. Experience with ML platforms (e.g., Kubeflow, MLflow) and familiarity with model monitoring, feature engineering, and data versioning tools is a plus.
  • Provide leadership to others, particularly junior engineers who work on the same team or related product features.
  • Proven experience delivering complex software projects and solutions effectively through Agile methodologies on a regular release cadence.
  • Strong verbal and written communication skills.
  • Strong customer focus, ownership, urgency and drive.
  • Preferred Qualification :

    Subsidiary :

    PayPal

    Travel Percent :

    PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit .

    For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

    Our Benefits :

    At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

    We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

    Who We Are :

    to learn more about our culture and community.

    Commitment to Diversity and Inclusion

    PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and / or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

    Belonging at PayPal :

    Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

    Any general requests for consideration of your skills, please .

    We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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    Manager Data Engineering • Bengaluru, Karnataka, India

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