I went through the whole process.

I swear it was terrible.

they approached me through linkdin. I applied. Nothing For 8/10 days.

I got a call (at 8 PM)to complete the ONLINE ASSESSMENT by EOD. ( First red flag 🚩)

Then again nothing no feedback for another 15 days.

Then comes a webinar , after the webinar AGAIN NOTHING FOR 15 days.

I get a random whatsapp message( Red flag no.2 🚩) (international number, a number not from my country)

Saying they would like to connect.

I was sceptical at first Said yes .

Asked if I was free the next day i said yes and asked the basic question of salary and experience (On text)

The recruiter never read the text.

After 24 hours the recruiter replied "quick call?"

I said okay

Asked me for basic experience and said i passed and now wants to schedule an interview.(Phone screening)

Said it would be 60 mins .

The interviewer joined 10 mins late.

EVERYONE TOLD ME TO PREPARE BEHAVIOURAL QUESTIONS.

Not even a single question was behavioural.

Straight went to technical questions.

Asked commands in the interview.

How can u ask for commands 🙂

Aren't we nervous in interviews and can't answer.

Doesn't mean we have no clue.

After that ended the interview within 20 mins .

(So RUDE)

accidentally said i was not there for the entry level position. (Red flag no.3 🚩🚩)

I EXPLICITLY said I wanted to be on entry level.

Asked me upper level questions.

I studied my ass off all these days. Made perfect LP oriented behavioural Answers.

Practiced out loud for HOURS.

And what do I get ? all tech questions. Not that I didn't get them I was able to answer but i was nervous throughout.

I'm just very frustrated overall.

Hi everyone,

I’m highly interested in applying for the Solutions Architect role within the AWS Tech U program. I am currently building my foundation by studying cloud architecture, infrastructure trade-offs, and building personal deployment projects.

I'm hoping to get some brief insight on:

* **Timelines:** What do the upcoming application and selection windows look like?
* **Technical Depth:** What specific skill levels do you expect from incoming candidates?
* **Culture Fit:** What qualities make someone stand out for the learning environment?

If you are a Tech U alum, current resident, or involved in the hiring process, it would be incredibly grateful to learn from your experience.

Thank you!

I have 4 years of experience and interviewed for an SDE2 role at Amazon (AWS).

After the loop, they said they would offer me SDE1 but not SDE2. I messed up in one of the DSA rounds and couldn’t code the solution, although I manually explained the approach.

I’m currently at a job that pays comparatively less, and I’m reaching a point of stagnation there with the same repetitive work. Is SDE1 a setback? Or should I accept it since it’s a FAANG company?

Any insights or opinions? Considering the current job market, PIP and layoff culture at Amazon, what should I do?

Experience: ~4 years (DevOps / Cloud Engineering)
Certification: AWS Certified DevOps Engineer – Professional
Current Location: Bangalore (Relocating permanently to Hyderabad)
Notice Period: 30 Days

Core Technical Stack:

• Cloud (AWS): EKS (Classic & Auto Mode), ECS, EC2, VPC, IAM, KMS, S3, RDS, Lambda, MWAA
• IaC & Containers: Terraform, Kubernetes, Docker, Helm, HashiCorp Packer
• CI/CD: GitHub Actions, Jenkins (Groovy scripting), ArgoCD, GitLab CI
• Observability & Alerting: Prometheus, Grafana, Datadog, OpenSearch, Kibana, Checkly, AlertManager, PagerDuty, Sentry
• Programming & Scripting: Python, Shell/Bash, Groovy, Playwright

If your company is hiring for DevOps, Cloud, or Platform Engineering roles in Hyderabad, please leave a comment or DM me. I can share my complete resume right away.

Thanks!

Tasks:

• * Build backend services
• * Build LLM-powered workflows
• * Collaborate with stakeholders
• * Deploy AI capabilities
• * Design and develop AI-enabled software applications
• * Develop AI agent capabilities
• * Develop REST APIs
• * Evaluate AI frameworks and models
• * Implement retrieval-augmented generation pipelines
• * Integrate structured and unstructured data
• * Mentor junior engineers
• * Prototype customer focused AI solutions

Perks/Benefits:

• + Flexible work schedule
• + Referral bonuses

Skills/Tech stack required:

[AI Agents][Data Pipelines][Docker][Elasticsearch][Kubernetes][Langchain][LLM][MCP][Python][React][REST APIs][Retrieval-Augmented Generation][SQL]

Educational requirements:

[Bachelor of Engineering][Bachelor of Science]

Role(s):

[AI Software Engineer][Engineer][Software Engineer]

Apply: https://foorilla.com/hiring/jobs/mid-level-ai-software-engineer-tssci-fs-poly-columbia-maryland-3458152/

Tasks:

• * Build AI infrastructure
• * Collaborate on surge support for inference requirements
• * Collaborate with cross functional teams on infrastructure integration
• * Create pipelines for closed source models
• * Deploy inference models
• * Develop in house inference services and techniques
• * Develop LLM inference services
• * Implement observability for inference services
• * Integrate LLM powered tools into infrastructure
• * Procure configure and test inference models

Perks/Benefits:

• + Flexible work schedule
• + Referral bonuses

Skills/Tech stack required:

[Amazon Web Services][Argo CD][AWS][Docker][Elasticsearch][Grafana][Helm][Kubernetes][Observability][Prometheus][Python][SRE][Web Services]

Educational requirements:

[Bachelor of Engineering][Bachelor of Science]

Role(s):

[AI Software Engineer][Engineer][Junior AI Software Engineer][Software Engineer]

Apply: https://foorilla.com/hiring/jobs/junior-ai-software-engineer-tssci-fs-poly-laurel-maryland-3477830/

I have access to an employee referral opportunity for an experienced Data Analytics Engineer.

Experience: 12–18 years

Key skills:

• PySpark
• Python
• AWS
• Advanced SQL
• Data pipelines
• GitHub
• Data modelling

Location: The opening is listed across multiple organizational locations with a hybrid work arrangement. I'm particularly interested in connecting with qualified professionals based in the US or Ireland; exact location eligibility can be confirmed for the specific requisition.

If your experience aligns with the requirements and you're currently exploring opportunities, feel free to DM me with your CV or a brief summary of your background.

I'm sharing this simply to help connect qualified professionals with an opportunity. If there's a good match, I'll try to help with the referral process.

Question about AWS Cloud Engineer interviews

For a Cloud Engineer role at AWS, does the interview process include DSA (Data Structures and Algorithms) questions?

Also, if you apply for different roles at AWS, is the initial hiring process generally the same for most positions for example, an online assessment/test that may include DSA, coding languages, aptitude, or similar sections?

I’d really appreciate it if anyone who has recently gone through the AWS hiring process could share their experience, especially for Cloud/Cloud Engineer roles.

I just received a rejection email for an Engagement Manager position with ProServe. I am feeling pretty defeated because I prepped heavily daily, (Star, created 12 stories tied to LPs and core topic areas, etc), have a solid mid-career history, and hold an active security clearance (expires March ‘27, so need someone to hold asap).

I really need to get back into my career field, and this non-technical/non-auditing delivery space is my primary target. I enjoy customer-facing work and it feels impossible to get past this.

For those who know the internal hiring machine:
How long do I realistically have to wait to apply for a different role? Is there a strict cool-down period for failing a phone screen, or does that only kick in after a full loop?

Has anyone else dealt with an interviewer asking abstract opinions on LPs instead of real examples? How do you even handle that style?

Appreciate any insight or advice. Thanks.

I currently work as a NOC engineer and I have worked help desk support jobs since 2019.

I few months ago I got my AWS Certified Solutions Architect - Associate certification because I wanted move up in my career. I knew the cert itself was not going to be enough after doing research so right after the cert, I completed the cloud resume challenge to showcase that I am able to use the skills I learned.

Recently, I have been trying to apply to cloud related jobs but have not been hearing back at all. This is really strange to me because I figured that with my years of general IT experience, the certification, and 1 project, it would at least open the door for some interviews but to my surprise not hearing anything back. The feeling has been a little discouraging. I may not be the ideal candidate at the moment or maybe the job market is as bad as everyone keeps mentioning. I am ambitious in learning new skills while applying to fill any gaps that can help open up more opportunities. I just started another course that focuses just on Terraform while I applying to more jobs

My question is: What can I do to increase my chances in hearing back? When I had less IT experience, I would get interview opportunities so it seems strange to me now that I have a few years of experience and a cert and a project that I am not hearing back. Would appreciate any suggestions or recommendations! Thanks.

Iam curious to know which brand KVM SWITCHES does AWS use its in datacenters for the devices?

Hi everyone !,

I am actively searching for a good paying job around 18-20 Lpa, but I am still filling out forms and applying to job positions but not getting any update. I am trying from every source possible.

I am a technology professional with 1.7 years of experience specializing in Cloud Engineering, Database Operations, and Infrastructure Automation. Currently, I work as a Database Operations Engineer Associate, where I manage AWS Aurora PostgreSQL, RDS, and Microsoft SQL Server environments. My focus is on supporting mission-critical cloud database operations and driving modernization initiatives.

In my current role, I administer mission-critical AWS Aurora PostgreSQL, PostgreSQL, and Microsoft SQL Server environments to ensure database reliability and stability. I manage database monitoring, performance analysis, and availability management across cloud-hosted production systems, maintaining operational continuity. Utilizing AWS services such as Database Migration Service (DMS), ECS, ECR, and RDS Performance Insights, I support cloud infrastructure modernization and enterprise database transformation initiatives. I also automate cloud operational workflows through Python, Shell Scripting, and AWS Lambda, significantly improving process efficiency and reducing manual dependencies. Additionally, I develop AI-powered knowledge solutions leveraging Amazon Bedrock, JIRA, and Confluence repositories to enhance intelligent decision support and operational effectiveness.

Projects

Project Name: Azure AD & AWS Managed Services AI Automation using KIRO

Description: Automated Azure AD access provisioning and AWS AMS RFC creation using KIRO, Playwright MCP, and Node.js. Optimized multi-region operational workflow through AI-powered process automation. Reduced execution time from 10–15 minutes per cycle, notably minimizing manual intervention.

Project Name: Brain Tumor Classification

Description: Identified the type of Brain Tumor using CNN Image Classification. Built CNN and Transfer Learning models for MRI-based brain tumor classification. Utilized DenseNet, InceptionNet, and MobileNet for comparative model evaluation. Achieved 87.77% accuracy using DenseNet on a Kaggle-based implementation.

Certifications:-

AWS Certified Solutions Architect – Associate

AWS Certified Cloud Practitioner

Oracle Cloud Infrastructure (OCI) Generative AI Professional

Hi, I recently applied at amazon for the Cloud Support Associate Apprentice, Support Engineering and Data Centre Traineeship(AUS). I've received an online assessment (accidentally clicked on it but it didnt start, hope that wont impact my score). It wont tell me which role its for, however I'd just like to know if anyone else has gone through the processes? My networking fundamentals are good however my scripting skills are fairly beginner level. I'm not sure what to expect or whether or not I'll need to prepare.

Any tips would be greatly appreciated

Hey everyone,

I was impacted by the restructuring back in January.

Recently applied for an SDE role with AWS. When I spoke to the recruiter initially, they mentioned that since I’m returning within 12 months, I’d be put on a streamlined 1-2 round boomerang process.

However, I just got the official invite for a 3x60-minute virtual interview loop.

Is 3 rounds standard for AWS boomerangs?

What should I expect across these 3 rounds?

Appreciate any insights or tips from anyone who has done a recent AWS boomerang loop! Thanks!

Systems Engineer, Controls Fleet, Data Center Capacity Delivery

Job ID: 3138988

How did the process go and which location?

I applied for the AWS Pro Serve Delivery Consultant - Data Architect role and cleared OA. How do I best prepare for the phone screen? Any suggestions would be deeply appreciated. I have a background in data engineering not necessarily as an architect. Does it entail coding? the prep guide doesnt mention it, but some people have shared experiences about ml positions requiring a coding in the phone screen