Pathrise Guide
How to Get a Job at CA Technologies
About this guide
These pages are meant to provide helpful information about how to get a software engineering, product manager, data science, and designer job at CA Technologies. Being prepared and knowledgeable is a key to every step of the hiring process. You can tab through each part of the guide to see information that can be helpful to your stage from office location for those trying to figure out if a company has a presence in your city of choice to real world interview questions. These guides contain much of the same information we have Pathrise fellows review before they apply or interview for a job with CA Technologies for roles including Software Developer, Mobile Developer, Software Engineer, Web Developer, Software Architect, Computer Programmer, Machine Learning Engineer, Data Scientist, Data Analyst, Data Engineer, Product Designer, UI Designer, UX Designer, Experience Designer, Web Designer, Product Manager, and Technical Product Manager and other tech, data, and product related roles. We hope you find these helpful and if you have content that you think we should add or think we got anything wrong, please email us at [email protected] and let us know.
- They were bought by Broadcom in Nov 2018 and there were a lot of layoffs
- The new CEO and upper management does not make the current employees feel very secure
- Community within the team is strong
- Compensation for software engineers is on the lower end of average compared to similar companies
On average, the interview process for a software engineer at CA Technologies can take 2-3 weeks.
Stage 1: Technical phone interview
This call covers all basics from data structures, algorithms, JAVA, HTML, CSS, Bootstrap, JavaScript, etc. An online collaboration app is used to share code interactively.
Stage 2: Onsite interview
The onsite round consists of 4 face-to-face interviews, 2 are behavioral and 2 are technical. The behavioral sessions are with management and the questions are the usual behavioral and situational questions,while the technical sessions are with developers and include whiteboarding algorithms and pair programming with them. The questions range from simple query/java questions to problem solving techniques for real issues.
The interview process for a data scientist at CA technologies takes 1-3 weeks.
Stage 1 + 2 2 technical phone interviews
These interviews focus on basic data structures and machine learning algorithms.
Stage 3: Onsite interview
The onsite interview is a full day, where the candidate participates in several technical (whiteboard coding exercises) and behavioral interviews.
The interview process for a product/experience/UX UI designer at CA Technologies might take 2-3 months.
Stage 1: Phone interview with recruiter
Stage 2: Phone interview with hiring manager (might be skipped)
Stage 3: Onsite interview
The interviewers are UX designers, a chief engineer, and HR team members. The onsite includes a portfolio review
The interview process for a product manager at CA technologies takes 1-3 weeks.
Stage 1 + 2 Phone interviews with recruiter and hiring manager
Stage 3: Onsite interview
The questions in the onsite interview revolve around the understanding of the domain, ITIL processes, and experiences in handling situations in their previous jobs.
- Name a time when you didn't agree with your manager--what did you do?
- Concepts of object-oriented programming like abstraction, inheritance, and polymorphism.
- Binary search, and string reverse.
- Write a program in Java that will take input strings like "Nine-hundred forty three dollars and 19/100 cents" and output the double "943.19"
- Basic questions on core Java, HTML, Data Structure, Java Scripts, Algorithms, etc.
- Database queries and Java question for finding small and large floating number in Array
- Write several queries to extract certain data.
- Write recursive algorithm in any language
- You have 4 Gig Ram available and 20 gig file to be processed. Explain how you would do that
- Puzzles, reverse strings, threading designs
- Probability, statistics, and machine learning problems
- Whiteboard coding
- How do you get an estimate of the answer using Taylor expansion?
- How do you design an algorithm for fraud detection?
- How would you test a final product?
- Would you feel comfortable working for a company that doesn't have access to its customers?
- How do you know your designs meet the customers' demands?
- How do you drive research?
- How do you communicate with engineers?
- What are the qualifier questions for prospects for your product?
- Elevator speech for your product.
Mission
We eliminate the barriers between ideas and business outcomes.
Vision
No data available
No data available
No data available
- New York: 520 Madison Ave
- Providencia: 1760 Av. Providencia
- Bogotá: 7-15 Cl. 116
- Puerto Madero: Piso 4 400 Av. Alicia Moreau de Justo
- Lisboa:
- Zagreb: 16 Avenija Dubrovnik
- Budapest: 7 Záhony u.
- Ružinov: 4b Prievozská
- Marousi: 44 Leof. Kifisias
- Çankaya: A3 Blok Kat 5 Bilkent Blv.
- Sarıyer: No:257/B Kat 12 Maslak Sk.
- Praha 11: 18 2326 V parku
- Warszawa: Taurus 5 Wołoska
- Utrecht: 5th floor 1000 Orteliuslaan
- Zaventem: Bus F2 11 Leonardo da Vincilaan
- and more..