aws engineer

Fluper Ltd.

WE ARE HIRING FOR,AWS Engineer Immediate joiner work from office for noida location FLUPER LTD Fluper, being the Top Rated Mobile App Design and Development Company across the globe, has the potential to bring specialized and optimized solutions. With 17+ Years of Mobo Industry Experience and 375+ App Certified Developers, we have successfully delivered 700+ Apps on Google &amp; Apple Store.Job description Experience 2 to 2.5 year's (AWS)Key Responsibilities Cloud &amp; DevOps Design, deploy, and maintain AWS infrastructure (EC2, S3, RDS, VPC, IAM, CloudWatch) Implement and manage CI/CD pipelines using Jenkins and Git Containerize applications using Docker Implement load balancing and auto-scaling Automate infrastructure and deployments using shell scripting Monitor servers, logs, and application performance Server &amp; Application Management Linux server administration and troubleshooting Setup and manage Node.js and PHP production servers Configure DNS, SSL, and domain hosting Manage backups, security hardening, and disaster recoveryKindly refer the link for any further reference https://www.fluper.com Interested candidate share your resume to hr@fluper.com or direct call on +91 9355320206 Job Type: Full-time Work Location: In person Fluper | Top Mobile App Development Company Fluper is a leading web &amp; mobile app development company having presence in Asia, USA, UK &amp; Middle east, Ranked as the top app developer by clutch &amp; Appfutura.Job Type: Full-timePay: ₹35,000.00 - ₹45,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

AWS DevOps Engineer

AFORV

Job Title: AWS Data Engineer (Python, PySpark, Databricks)We are looking for an experienced AWS Data Engineer with strong expertise in Python, PySpark, and Databricks to design and develop scalable data pipelines on AWS cloud.Key Responsibilities:<ul><li>Design, develop, and maintain ETL pipelines using PySpark and Databricks</li><li>Build data solutions on AWS services (S3, Glue, EMR, Redshift, Lambda)</li><li>Work with structured and unstructured data</li><li>Optimize Spark jobs for performance and scalability</li><li>Implement data lake and data warehouse solutions</li><li>Collaborate with cross-functional teams for data integration</li></ul>Required Skills:<ul><li>Strong experience in Python and PySpark</li><li>Hands-on experience with Databricks</li><li>Good knowledge of AWS cloud services</li><li>Strong SQL skills</li><li>Experience in data modeling and data warehousing concepts.</li></ul>Job Type: Contractual / Temporary Contract length: 25 monthsBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Work Location: In person

AWS Data Engineer

GAC Solutions Inc

We are seeking an experienced AWS Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data platforms on AWS. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to deliver reliable, high-performance data solutions that support analytics, reporting, and advanced data use cases.Job Type: Contractual / Temporary Contract length: 12 monthsPay: ₹70.00 - ₹75.00 per hourWork Location: Remote

Maxdata Solutions- Bangalore

Currently we are hiring as AWS Data Engineer.Job Location: Bangalore.Job Description:Responsibilities:<ul><li>Design and implement scalable data pipelines using AWS services such as S3, Glue, PySpark, and EMR.</li><li>Develop and maintain robust data transformation scripts using Python and SQL.</li><li>Optimize data storage and retrieval using AWS database services like Redshift, RDS, and DynamoDB.</li><li>Build and manage data warehousing layers tailored to specific business use cases.</li><li>Apply strong ETL and data modeling skills to ensure efficient data flow and structure.</li><li>Ensure high data quality, availability, and consistency to support analytics and reporting needs.</li><li>Work closely with data analysts and business stakeholders to understand data requirements and deliver actionable insights.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>Hands-on experience with AWS data services such as S3, Glue Studio, Redshift, Athena, and EMR.</li><li>Strong proficiency in SQL and Python for data processing.</li><li>Experience with batch job scheduling and managing data dependencies.</li></ul>Preferred Skills:<ul><li>Expertise in data warehousing, ETL frameworks, and big data processing.</li><li>Familiarity with the pharmaceutical domain is a plus.</li><li>Experience with data lake architecture and schema evolution.</li></ul>Job Types: Full-time, PermanentPay: ₹1,000,000.00 - ₹1,800,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Bank of America

<div>Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. 
 
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. 
 
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 
 
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
The AWS DevOps Engineer plays a critical role in designing, building, and maintaining the cloud infrastructure that supports high‑availability enterprise applications. This role partners closely with project teams, Solutions Architects, and technical SMEs across Bank of America to deliver robust, secure, and scalable AWS environments. The ideal candidate brings strong, hands on AWS engineering experience, deep knowledge of Infrastructure as Code, and the ability to translate architectural requirements into well‑designed cloud implementations.
This job is responsible for configuring complex software delivery automation. Key responsibilities include ensuring software deployments are configured to meet access, ownership, and authentication standards. This job may modify code for software deployment automation and ensures software promotion pipelines for complex/high availability applications follow Continuous Delivery best practices. Job expectations include the ability to integrate development, testing practices, software delivery tools, and runtime application standards at the bank.
Responsibilities:<ul><li>
Configures and maintains the set of tools and services that provide Continuous Integration and Continuous Delivery (CI/CD) services and validates access control mechanisms for the Software and Infrastructure Engineering team throughout the software development lifecycle</li><li>
Reviews the configuration of applications servers to confirm that CI/CD service platform onboarding pre-requisites are available and configured properly</li><li>
Monitors and responds to alerts based on the key performance indicators (KPI) for the services supporting CI/CD and escalated events and issues from DevOps Engineers, creating issues and action-plan summaries for stakeholders</li><li>
Design, build, and maintain AWS cloud infrastructure using IaC (Terraform, CloudFormation optional).</li><li>
Implement and optimize AWS services including EC2, VPC, IAM, ECS/EKS, RDS, S3, Lambda, CloudWatch, and related components.</li><li>
Ensure all infrastructure meets enterprise standards for security, access control, authentication, and governance.</li><li>
Collaborate with Architecture and Infrastructure teams (Network, Load Balancing, Storage, IAM, Middleware, DBAs, SRE) to ensure successful cloud deployments.</li></ul>
Required Qualifications:<div><div><ul><li>
Bachelors Degree in Computer Science, Information Technology or equivalent experience</li><li>
5+ years of hands-on experience with TerraForm and AWS</li><li>
Strong interpersonal and communication skills</li><li>
Experience with Terraform Enterprise or Terraform Cloud
</li><li>Strong understanding of Infrastructure as Code principles
</li><li>Experience with Git and version control workflows
</li><li>Knowledge of CI/CD tools (Jenkins, GitHub Actions, AWS CodePipeline)
</li><li>Understanding of container technologies (Docker, ECS, EKS)
</li><li>Familiarity with monitoring and logging solutions
</li><li>Strong Excel and Visio skills</li><li>
Scripting ability in Bash, Python, or similar languages
</li><li>Experience with secrets management and infrastructure security
</li><li>Understanding of networking concepts on AWS</li><li>
Experience with configuration management tools
</li><li>Understanding of software development lifecycle
</li><li>Ability to design architectural solutions for complex technology problems using available and emerging technologies</li><li>
Ability to work with various departments in a large organization to facilitate the orderly execution of a proposed project plan</li></ul></div>
Desired Qualifications:<ul><li>
OS management experience (Windows and Linux)</li><li>
Middleware (Apache, Weblogic, Websphere, IIS, etc.)</li><li>
Databases (Postgres, RDS, Redis , Oracle, MSSQL)</li><li>
Load Balancing (F5, AVI, Nginx, etc.)</li><li>
Network (TCPIP, Firewalls, DNS, etc.)</li><li>
Storage (Local, SAN, NAS, s3, etc.)</li><li>
Active Directory and access management</li><li>
Cloud infrastructure and virtualization</li><li>
Up to date understanding of best practices regarding system security measures</li><li>
Terraform and Infrastructure as Code experience</li><li>
Ansible experience</li><li>
Scripting (BASH, Powershell, etc.) experience</li><li>
Container technologies (Kubernetes, Docker, etc.)</li></ul>
Skills:<ul><li>
Analytical Thinking</li><li>
Collaboration</li><li>
DevOps Practices</li><li>
Result Orientation</li><li>
Solution Delivery Process</li><li>
Adaptability</li><li>
Application Development</li><li>
Influence</li><li>
Innovative Thinking</li><li>
Project Management</li><li>
Solution Design</li><li>
Stakeholder Management</li></ul></div>
Shift:
1st shift (United States of America)
Hours Per Week:
40</div>

Dhara Consulting Group

<div><div><div><div>Posted today</div></div><div><div>
Top Secret/SCI</div></div><div><div>
Senior Level Career (10+ yrs experience)</div></div><div><div>
$166,000 - $208,000</div></div><div><div>
No Traveling</div></div><div><div>
Full Scope Polygraph</div></div><div><div>
IT - Software</div></div><div>
Springfield, VA (On-Site/Office)</div></div><div><div>
Senior AWS Cloud Engineer (Generative AI) 
 
Location: Springfield, VA 22150 (NGA Campus) 
Clearance: Active TS/SCI with Polygraph (REQUIRED) 
Compensation: $80&ndash;$100/hr ($166K&ndash;$208K annually equivalent) 
Work Type: Full-Time | Onsite (classified environment) 
 
Position Overview 
 
We are seeking a Senior AWS Cloud Engineer with Generative AI expertise to support a mission-critical Intelligence Community modernization initiative in Springfield, VA. 
 
This role focuses on optimizing and modernizing enterprise-scale Generative AI workloads within a classified AWS environment (C2S). The selected engineer will embed with customer scrum teams and lead architecture design, performance optimization, and cloud-native system improvements. 
 
This is a highly technical, hands-on role requiring deep AWS architecture knowledge and experience deploying and optimizing LLM-based solutions. 
 
Required Qualifications 
 
Active TS/SCI with Polygraph (must be current) 
 
8+ years of software engineering or cloud architecture experience 
 
3+ years hands-on AWS production experience 
 
Experience supporting classified or IC cloud environments 
 
Strong Python proficiency 
 
Experience with Infrastructure-as-Code (CloudFormation, CDK, or Terraform) 
 
Ability to work onsite in Springfield, VA 
 
Required Technical Expertise &ndash; Generative AI 
 
Enterprise-scale GenAI platform architecture and deployment 
 
LLM implementation and optimization 
 
Prompt engineering and token usage optimization 
 
Vector databases and semantic search 
 
API performance tuning (batching, caching, rate limiting) 
 
Cost tracking and workload analytics for AI systems 
 
Experience with LangChain or similar frameworks 
 
AWS Services Experience 
 
Amazon Bedrock 
 
OpenSearch Service 
 
CloudWatch 
 
ECS and/or EKS 
 
RDS and/or DynamoDB 
 
Advanced IAM policy design 
 
Responsibilities 
 
Evaluate and modernize existing GenAI architectures 
 
Design scalable, modular, cloud-native systems 
 
Implement automated health monitoring and detection systems 
 
Optimize text embedding pipelines and retrieval performance 
 
Develop reference architectures and best practices 
 
Collaborate within Agile/Scrum teams 
 
Provide technical leadership and knowledge transfer 
 
Preferred Qualifications 
 
Experience with AWS C2S 
 
Prior AWS Professional Services engagement experience 
 
Experience supporting Orange or National Security customers 
 
Strong customer-facing communication skills 
 
Why Join This Effort? 
 
High-visibility IC modernization initiative 
 
Cutting-edge Generative AI optimization work 
 
Long-term program stability 
 
Opportunity to influence enterprise architecture at scale 
 
If you are an experienced TS/SCI Poly AWS engineer looking to work on mission-critical AI systems, we encourage you to apply confidentially.</div><div><div>
GROUP ID: 90970085</div></div></div></div>

AWS Cloud Engineer (GenAI)

ExaThought Technology Consulting Pvt Ltd

Key Responsibilities<ul><li>Design, develop, and maintain robust, scalable ETL/ELT pipelines using Python </li><li>Process and transform large datasets (millions/billions of records) efficiently</li><li>Build batch and real-time data ingestion frameworks </li><li>Work with cloud-native data services on AWS</li><li>Develop data models, data lakes, and warehouse solutions </li><li>Optimize data performance, reliability, and cost</li><li>Ensure data quality, governance, and security standards </li><li>Collaborate with Data Scientists, Analysts, and Product teams</li><li>Troubleshoot and improve existing data workflows </li><li>Document architecture, pipelines, and best practices</li></ul>*<ul><li>Required Skills</li><li>4&ndash;6 years of experience in Data Engineering </li><li>Strong Python programming (Pandas, PySpark, NumPy, etc.)</li><li>Hands-on experience handling large/complex datasets </li><li>Experience building ETL/ELT pipelines</li><li>Strong SQL skills </li><li>Experience with:</li><li>o Apache Spark / PySpark</li><li>o Airflow / Prefect or similar orchestrators</li><li>o Data warehousing concepts</li><li>Understanding of data modeling and performance tuning</li></ul>Job Type: Full-timePay: ₹500,000.00 - ₹1,500,000.00 per yearWork Location: Hybrid remote in Indiranagar, Bengaluru, Karnataka

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