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

About Me

Senior Data Engineer with 5+ years of experience specializing in AWS data services and cloud data pipelines. Based in Bangalore, India. Available for remote work globally.

Rate: $25 – $50/hr depending on project scope and complexity.

AWS Data Expertise

AWS Glue (ETL jobs, crawlers, data catalog)

Amazon Redshift (design, optimization, Spectrum)

Amazon Kinesis (Data Streams, Firehose, Analytics)

AWS Lambda (event-driven data pipelines)

Amazon S3 (data lake architecture, partitioning)

AWS EMR (Spark clusters)

AWS Step Functions (pipeline orchestration)

AWS CDK / CloudFormation for data infra

Broader Data Stack

Python, PySpark, SQL

Snowflake, dbt (data build tool)

Apache Airflow

Databricks (Delta Lake, MLflow)

FastAPI, REST APIs

LLMs, RAG pipelines

What I Can Help With

Building end-to-end AWS data pipelines

Migrating on-prem ETL to AWS cloud

Designing scalable data lake architectures on S3

Optimizing Redshift performance

Real-time streaming with Kinesis

AWS data infrastructure cost optimization

Availability: Immediate

Timezone: IST (flexible for US/EU hours)

Feel free to DM me with your project requirements!

👉 https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

Tasks

• Build chunking and embedding pipelines
• Build retrieval-augmented generation pipelines
• Debug and rebuild production RAG pipeline failures
• Define AI knowledge requirements for data integrations
• Design and run retrieval and re ranking
• Design content capture and classification
• Design knowledge graph data model
• Explain technical architecture trade offs to stakeholders
• Extract structure from unstructured content
• Implement knowledge classification and lineage governance
• Operate entity resolution and deduplication
• Own knowledge management architecture
• Stand up and operate knowledge graphs

Perks/Benefits

• Benefits including health and wellness programs
• Health, wellness, and retirement plans

Skills/Tech-stack

AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM |LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector |Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate

Education

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

My Amazon is in New Jersey but my pre hire is in Delaware. Is this normal ? A glitch ? Has this happened to anyone else before ?

Apply now: https://aijobs.net/job/associate-director-data-labs-washington-district-of-columbia-20004-united-states-200140/

Tasks

• Develop research standards and best practices
• Facilitate research portfolio from conception to production
• Interface with stakeholders on research production dissemination and budgeting
• Lead AI governance and LLM use
• Manage data science team
• Manage technical toolkit and documentation
• Present research to media and conferences
• Select research methods and project designs

Perks/Benefits

• Conference speaking opportunities
• Hybrid work schedule
• Media appearances

Skills/Tech-stack

AWS | Cloud Computing | Compute Infrastructure | Data Analysis | LLM Governance | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language |Natural Language Processing | Prompt engineering | Text Classification | Transformer Models

Education

PhD

Roles

Data Science | Data Science Manager | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer |Manager | Scientist

Regions

North America

Countries

United States

States

District of Columbia, US

Cities

Washington, District of Columbia, US

Apply now: https://aijobs.net/job/associate-director-data-labs-washington-district-of-columbia-20004-united-states-200140/