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The DevOps engineer is a big deal at our company. They build and test the cloud stuff that lets our teams make apps crazy fast. It's an important gig. Our apps don't happen without the DevOps engineer having our backs. If they do their thing right, the coders and designers can crank big time. And that lets us get our goods to customers light speed.
Job Description :-
| Company Name | Siemens |
| Job Role | DevOps Engineer |
| Qualification | Any Degree |
| Experience | Freshers/Experienced |
| Batch | Any Batch |
| Location | Bangalore, Karnataka, India |
| CTC/Salary | Not Disclosed |
Tips to Prepare an ATS-Friendly Resume :-
Getting your resume noticed by the Applicant Tracking System is super important if you want employers to actually see it. I’ll give some tips to help make your resume look good to the computer system if you’re applying to be a Data Scientist.
1. Keep it simple. Don’t use crazy fonts, tables, or anything too wild. Stick to basics like clear section headings (“Skills,” “Experience”).
2. Load up on keywords. Pull words right from the job description – Python, Machine Learning, whatever. Show you have the technical and people skills they want.
3. Use normal job titles. “Data Scientist” or “Analyst,” not “Future CEO.”
4. Put key info in the body text. No footers! Recruiters might not see em. Keep your name, address, LinkedIn front and center.
5. Save as a .docx or .pdf file. Make sure the pdf isn’t an image or anything weird. Give it a professional name too like “FirstName_LastName_Resume”.
6. Show you got the right background. Internships, projects, anything to prove you can handle a Data Science job. Numbers help – “improved model by 15%” tells em you get results.
7. Use bullet points, not paragraphs. Easier to scan.
8. Show off certifications and schoolin’. DataCamp, Coursera courses, a math/CS degree – make em shine! 9. Nix the images and logos. Recruiters tech can’t handle em.
10. List technical skills first. Python, R, SQL – they wanna see you have these specifically.
11. Check for typos! Sloppy resumes might get tossed by the robot gatekeepers.
12. Test it out first. Free online tools can scan your resume before you submit to catch issues.
Follow this advice and you’ll be all set to pass the ATS recruiters and get that interview!
Tips for acing the job interview:-
Do’s:
– Look into the company and the stuff they need help with.
– If you don’t get something, ask them to explain More.
– Walk them through how you think about fixing problems.
– Use real examples from past work to show your skills.
– Stay calm and confident. Work through problems slowly, even if you aren’t sure.
Don’ts:
– Don’t guess if you aren’t sure. Explain your thinking.
– Keep your answers simple and clear.
– Remember to talk about teamwork, communication, and problem fixing.
– Take your time to think before answering.
– Ask good questions to show you care about the job and team.
Eligibility / Qualification:-
- A bachelor’s degree.
- Some understanding of Azure DevOps is good.
- Know-how in these: Azure DevOps
- setting up CI/CD pipelines with Classic and YAML Azure cloud stuff
- IaaS, PaaS, SaaS Azure Kubernetes Service IIS Elastic stack (optional extra) RabbitMQ VMs and containers using things like Docker/Kubernetes
- Be solid at Git and GitHub workflows Done Azure DevOps and Azure repo before
- Good extras: Know how to deploy 3-tier apps to cloud environments.
- Good extra: Understand Kubernetes things like deployments, jobs, pvc, pv, secrets, volumes etc.
- Good extra: Experience with infrastructure, using tools like terraform, bicep etc.
- Good extra: Know Azure’s IaaS, PaaS, SaaS offerings.
- Able to install and configure MYSQL, MSSQL, PostgreSQL databases.
- Understand the application side of the software.
What You Do:-
- Help out the leaders to make sure we follow the plans for coding and releasing software.
- Sometimes the steps get complicated, so I try to fix things if stuff goes wrong.
- work on automating parts that feel repetitive.
- That way we save time and don’t get bored doing the same stuff over and over.
- Help manage the systems and tools for writing and testing code before it gets released. This includes things like:
* Setting up pipelines so new code moves smoothly from the coder’s computer into production.
* Making sure our cloud servers are running properly for launches.
* Lending a hand with infrastructure when needed – getting the foundation prepped for releases.
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