aws software development engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Roles &amp; Responsibilities
</div><div>Job Title: AWS Certified Data Engineer
</div><div>Job Description:
</div><div>We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.</div><div><br>
</div>
<div></div><br>
<div>Responsibilities:
</div><ul><li> AWS Solution Design &amp; Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.
</li></ul><ul><li> Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.
</li></ul><ul><li> Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.
</li></ul><ul><li> Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.
</li></ul><ul><li> Cloud Infrastructure &amp; Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.
</li></ul><ul><li> Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).
</li></ul><ul><li> Performance Tuning &amp; Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.
</li></ul><ul><li> Data Governance &amp; Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.
</li></ul><ul><li> Monitoring &amp; Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.
</li></ul><ul><li> Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.
</li></ul><ul><li> Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.</li></ul><br>
<div><br>
</div><div>Qualifications :</div><br>
<div><br>
</div><ul><li> AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect &ndash; Associate, AWS Certified Data Analytics &ndash; Specialty, AWS Certified Developer &ndash; Associate).
</li></ul><ul><li> AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:
</li></ul><ul><li> Storage: S3 (for data lakes), EC2
</li></ul><ul><li> Data Processing: EMR, Glue, Athena, Lambda
</li></ul><ul><li> Networking: VPC, Subnets, Routing, Security Groups
</li></ul><ul><li> Containerization: EKS</li></ul><br>
<div><br>
</div><ul><li> Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.
</li></ul><ul><li> Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.
</li></ul><ul><li> Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.
</li></ul><ul><li> Programming Languages:
</li></ul><ul><li> Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).
</li></ul><ul><li> Shell Scripting: Proficient in shell scripting for automation and operational tasks.
</li></ul><ul><li> Database &amp; SQL: Strong SQL skills for data querying and manipulation.
</li></ul><ul><li> Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.
</li></ul><div>Good to Have Skills
</div><ul><li> Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.
</li></ul><ul><li> CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.
</li></ul><ul><li> Orchestration: Experience with workflow orchestration tools like Apache Airflow.
</li></ul><ul><li> Version Control: Proficient in using Git for source code management.
</li></ul><ul><li> Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.
</li></ul><div>Certifications
</div><ul><li> AWS Certified Solutions Architect &ndash; Associate/Professional
</li></ul><ul><li> AWS Certified Data Analytics &ndash; Specialty
</li></ul><ul><li> AWS Certified Developer &ndash; Associate</li></ul><br>
<div></div>
<div><br>
</div><div></div><br>
<div>Salary Range: $125,000 to $140,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>416958</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS</div>
</div><div><div><b>Salary Range</b></div>
<div>$125,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AWS Data Engineer

TAWANTECH

<div><p><b>Job Summary</b></p><p>
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul><b><br>
Requirements</b><ul><li><br>
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

<div><p>For decades, DTN has been the silent force behind some of the world&rsquo;s most critical industries&mdash;helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights&mdash;enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don&rsquo;t follow trends&mdash;we set the standard for precision, trust, and operational impact.
</p><p></p><p>DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we&rsquo;re accelerating growth and expanding our global footprint. Our purpose-built solutions&mdash;powered by AI and honed by decades of vertical expertise&mdash;are helping some of the world&rsquo;s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.
</p><p></p><p><b>J </b><b>ob Description:
</b></p><div><div><p>The DTN Information Hub (DIH) is a bold new initiative designed to transform how we deliver value to our customers across agriculture, weather, and energy. Our mission is to build advanced AI a gents that leverage DTN's trusted data and deep industry expertise to provide customers with actionable insights, informed recommendations, and enhanced decision support.
</p></div><p></p><div><p>As a Software Engineer on the AI Core Team, you'll be at the heart of this mission &mdash; designing and building the agentic systems, LLM-powered workflows, and intelligent infrastructure that power the next generation of DTN products.
</p></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>be responsible for </b><b>:
</b></p></div><div><ul><li><p>Design, build, and maintain agentic AI pipelines and workflows that automate complex, multi-step reasoning and decision support tasks.
</p></li></ul></div><div><ul><li><p>Integrate and fine-tune large language models (LLMs), including prompt engineering, model evaluation, and iterative improvement.
</p></li></ul></div><div><ul><li><p>Develop and optimize Retrieval-Augmented Generation (RAG) systems that ground AI outputs in DTN's trusted data and domain knowledge.
</p></li></ul></div><div><ul><li><p>Build and maintain AI platform infrastructure and observability tooling &mdash; including logging, monitoring, tracing, and evaluation frameworks for AI systems in production.
</p></li></ul></div><div><ul><li><p>Leverage AWS services, including Amazon Bedrock AgentCore and Strands Agents, to architect scalable, reliable AI solutions.
</p></li></ul></div><div><ul><li><p>Collaborate cross-functionally with product managers, domain experts, and fellow engineers to translate complex business needs into AI-powered solutions.
</p></li></ul></div><div><ul><li><p>Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge sharing.
</p></li></ul></div><p></p><div><p><b>What you will bring to this role:
</b></p></div><div><ul><li><p>3 + years of software engineering experience with a solid grasp of software fundamentals: APIs, testing, version control, and CI/CD.
</p></li></ul></div><div><ul><li><p>A solid foundation in Python and JavaScript , with developing skills in full-stack development using Node.js, Next.js, React, and TypeScript.
</p></li></ul></div><div><ul><li><p>Hands-on experience with AI frameworks and tooling ( e.g., LangChain , Claude SDK , OpenAI APIs, Amazon Bedrock AgentCore ).
</p></li></ul></div><div><ul><li><p>Experience building or working with RAG pipelines, vector databases, or semantic search systems ; as well as knowledge of prompt engineering and model evaluation techniques.
</p></li></ul></div><div><ul><li><p>Working knowledge of AWS cloud services.
</p></li></ul></div><div><ul><li><p>Excellent written and verbal communication skills &mdash; ability to explain complex AI concepts to non-technical stakeholders.
</p></li></ul></div><div><ul><li><p>4-year degree in Computer Science, Software Engineering, or a related field.
</p></li></ul></div></div><div><div><ul><li><p>Bonus Skills: AI/ML certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Coursera/DeepLearning.AI specializations). Experience or interest in agriculture, weather, or energy industry domains.
</p></li></ul></div><p></p><div><p><b>What you can expect from DTN:
</b></p></div><div><ul><li><p>Competitive Salary
</p></li></ul></div><div><ul><li><p>Generous PTO
</p></li></ul></div><div><ul><li><p>Flexible work arrangements
</p></li></ul></div><div><ul><li><p>C ompetitive Medical, Dental and Vision Insurance Plans
</p></li></ul></div><div><ul><li><p>6% 401K matching
</p></li></ul></div><div><ul><li><p>Unlimited access to 13k+ courses via learning platform to support employee career advancement
</p></li></ul></div><div><ul><li><p>Employee Assistance Program (EAP)
</p></li></ul><p></p><p><b>Compensation
</b><br>
<i>The targeted hiring base pay range for this position is between </i><b><i>$101,000 and $124,000 </i></b><i>. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
</i></p><p></p><p>#LI-Engineering
</p><p>#LI-AI
<br>
#LI-REMOTE
<br>
#LI-TH1
</p></div></div><p></p><p><b>About DTN:
</b></p><p>DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights&mdash;empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.
</p><p></p><p>At DTN, we value <b>clarity, </b><b>trust </b>, and <b>action </b>. We&rsquo;re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters &ndash; and that mission is at the core of what we do.
</p><ul><li><p><b>Trust Built: </b>We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.
</p></li><li><p><b>Confidence-Driven: </b>We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.
</p></li><li><p><b>Built for Industry: </b>We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.
</p></li><li><p><b>Future-Forward: </b>We see what&rsquo;s coming- and we&rsquo;re ready. We help customers lead through change with smarter decisioning.
</p></li></ul><p></p><p><b>Recruitment Fraud Notice:
</b></p><p>DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process.
</p><p></p><p>If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers@dtn.com to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.
</p><p></p><p><b>DTN is an Equal Opportunity Employer. </b>We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.</p></div><p></p>

AI Core Software Engineer

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Senior DevOps Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 SiliconExpert Technologies, Inc. is looking for Senior DevOps Engineers with strong development background, who will be responsible for enabling faster release and deployment cycles, by taking advantage of agile development methodologies, improved collaboration between business stakeholders, application development and operations teams and automation tools, they will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, build and maintain tools for deployment, monitoring and alerting, and troubleshoot and resolve issues in our Dev/QA/Prod. environments.
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 <strong>
  Primary focus for the role developing and building containerization solutions, Senior DevOps Engineer installs and configures solutions, implement reusable components, translate technical requirements, and assist with all stages of test data and monitoring the container orchestration layer
 </strong>
 .
 <br/>
 <br/>
 Senior DevOps Engineer will build automated deployments, through the use of configuration management technology, helps create requirements and procedures for implementing routine maintenance, deploy new modules and upgrades and complete fixes within the production environment and troubleshooting existing information systems for errors and resolving those errors.
 <br/>
 <br/>
 Senior DevOps Engineer will build and implement infrastructure / application disaster recovery solution, through the use of infrastructure as code technology.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take the full responsibility to write dockerfile for all apps and Transform Spring boot Java application and Nodejs/Angular/ PHP to containerized images.
  </li>
  <li>
   Using AWS Services to store and run the images with EKS orchestration layer.
  </li>
  <li>
   Plan, design, sizing, Implement and operate the Kubernetes cluster using EKS infrastructures and other integrated AWS services.
  </li>
  <li>
   Using ArgoCD and Helm for application deployments.
  </li>
  <li>
   Automate the infrastructure provisioning &amp; operations using Terraform.
  </li>
  <li>
   Automate the Configuration management using ansible.
  </li>
  <li>
   Plan and Implement DR Plan on AWS.
  </li>
  <li>
   On call duties.
  </li>
  <li>
   Troubleshooting existing information systems for errors and resolving those errors.
  </li>
  <li>
   Work closely with development &amp; QA teams to create processes and tools that provide immediate feedback on source changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Engineering / Computer Science or equivalent education in the form of work experience at similar technology positions.
 <br/>
 <br/>
 A minimum of 3 years of work experience as a Developer/Systems Administrator/DevOps, supporting development teams (sysadmins + Java/Angular software development).
 <br/>
 <br/>
 <ul>
  <li>
   Experience in containers/container orchestration platforms; Docker, Kubernetes and AWS EKS. (Minimum of 2 years of work experience)
  </li>
  <li>
   Experience in ArgoCD, Helm and EKS cluster monitoring and Auto scaling.
  </li>
  <li>
   Experienced with Terraform as IaC knowledge, integrated with AWS different services (EC2, ECR, EKS, VPC, IAM, S3, ELB).
  </li>
  <li>
   Experienced in AWS platform as DevOps (Deployment strategies, Disaster Recovery, IaC, Security and Automation).
  </li>
  <li>
   Strong Knowledge in AWS platform as Solutions Architect (High availability, elasticity, Scalability, Migration and Cost Estimated / Optimization).
  </li>
  <li>
   Good Knowledge with Ansible for configuration management integrating with AWS different services to automate different tasks.
  </li>
  <li>
   Strong Knowledge of managing CI/CD tools preferably Jenkins.
  </li>
  <li>
   Good Knowledge of monitoring and logging tools ELK, Newrelic.
  </li>
  <li>
   knowledge of Build Tools (Maven, AngularJS) and Webservers Tomcat/Apache
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certificates
  <br/>
  <br/>
 </strong>
 AWS DevOps Professional is advanced.
 <br/>
 <br/>
 CKAD / CKA is advanced.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Senior DevOps Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Sales, Marketing and Global Services (SMGS)<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
<br>
The core mission of AWS Marketing is to educate customers about cloud computing and our services. As a fast growing business, we get thousands of leads via events, webinars, website, and campaigns that we process, score, and pass the highest quality leads to our sales teams.<br>
<br>
Imagine building a platform that that will be built using AWS technologies to store millions of customer lead records, continuously keep their attributes updated based on factors like their demographics, marketing activities they engage with, products they show interest etc. Imagine working with global AWS Marketing and Sales leaders to understand the AWS buying process and building the engine that enables that end to end from ingesting leads to sending to Sales follow-up and then also building the feedback mechanism on performance. You and your team will build various modules which will be responsible for ingesting leads, enriching them with attributes that we gather from 3rd party and 1st party data, scoring the leads, and handing the highest quality leads to appropriate sales teams.<br>
<br>
Interested in diving in? As Software Development Engineer for the AWS Lead Management and Account-Based Marketing Engineering team, you will join a fast growing tech organization with plenty of technical talent. You will develop a high quality, creative, technology platform that powers ingesting and passing along the highest quality leads to the AWS Sales teams. Your team will drive and own core innovations for our customers worldwide. You will closely interact with senior managers and stakeholders on a global scale, prioritizing and autonomously driving the full software development lifecycle for your team. You will work on critical projects that significantly contribute to the significant growth of AWS. You will make a huge, measurable impact to the AWS buying and lead management process, and build and innovate solutions that are simple and easy to maintain and scale. You are a strong technical leader. You are great at hiring, growing, and mentoring engineers, and at cultivating leadership capabilities. Are you an experienced software development leader, ready to challenge yourself to work hard, have fun, and make history with AWS? Come and join the AWS Marketing Lead Management team!<br>
<br>
Key job responsibilities<br>
- Implementation of a scalable E2E technical design across all systems in the solution - AWS tools, API, Redshift<br>
<ul><li>Deliver validated conceptual architecture</li><li>Write and prioritize architectural enablement work items</li><li>Evaluates technical feasibility of features</li><li>Defines migration plan from current to future state</li><li>Defines environment setup and continuous integration/continuous delivery standards</li></ul><br>
A day in the life<br>
The ideal candidate will have a track record of success, delivering new features or products. This person has thrived on delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. They have strong design and implementation experience, digs deep into data, has a strong knowledge of web services and protocols, and an in-depth knowledge of distributed systems architectures and integration between third party applications.<br>
<br>
About the team<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Lead Management and Account-Based Marketing Tech

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It&rsquo;s also preinstalled in Amazon Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training.<br>
<br>
This position is for a Software Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to ensure high throughput from software to hardware, is also a necessity. This engineer will work with the team to define the key interfaces and will develop the runtime stack and driver that manages the accelerator. This engineer will also work in pre-silicon environments (such as emulation) to shift-left Runtime Software Stack readiness and to develop validation content to checkout HW/Silicon features.<br>
<br>
This is a fast-paced, intellectually challenging position, where you&rsquo;ll work with thought-leaders in multiple technology areas. You&rsquo;ll have high standards for yourself and everyone you work with, and you&rsquo;ll be constantly looking for ways to improve our products' performance, quality and cost.<br>
<br>
We&rsquo;re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in computer architecture</li><li>Experience writing low level drivers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div><p></p>

Runtime/Driver Software Development Engineer, Neuron Runtime

IQVIA

<p>Durham, United States of America | Full time | Office-based | R1551742</p>
<br><div><p>Associate Director, DevOps Engineering, IQVIA RDS Inc. Durham, NC. Devise and help teams implement DevOps strategies and methods throughout the development and deployment process for technical solutions. Lead DevOps teams, monitor project workflow, and ensure the finished product meets quality and reliability standards. Oversee the implementation, deployment, and integration of solutions, taking responsibility for successful delivery. Plan, build, configure, test solutions, maintain systems, analyze and approve new code, perform automation tasks and manage all aspects of solutions deployment and technical operations. Work with the services and technology teams to define and implement CI/CD best practices. Drive cloud and container strategy. Evaluate and adopt various configuration management, build management and continuous integration tools and methodologies. Guide team on SDLC and methodologies like Lean/Agile, CI, Software and Product Security, Scalability, Documentation Practices, Refactoring and Testing Techniques. Work with development manager to align on DevOps roadmap and resource needs. Participate in software and hardware release to ensure service readiness, product usability, and case deflection by identifying product enhancements. Perform DevOps related defect triage with Product and Engineering teams. Collaborate with Project Teams to implement end-to-end Build and Release process. Supervisory responsibilities for Sr. Software Engineer, DevOps Engineer 2, Sr. Network Systems Engineer, Software Engineer 2, and DevOps Engineer, or related. M-F, 8:00 am &ndash; 5:00 pm (EST). Salary Range: $201,885 - $239,700/year.</p>
<p>Requires a Bachelor&rsquo;s degree in Computer Science, Engineering, related field or foreign equivalent. Requires five (5) years of Software Development or Cloud Engineering experience, to include five (5) years: DevOps experience; Git, Jenkins, Terraform, Ansible, Shell Scripting, AWS, Azure, and DataDog; utilizing knowledge of Shell Scripting &amp; Python; tailoring technical problem descriptions and root cause analysis statements to various audiences (customer support, end customers and development teams); assisting and directing troubleshooting for Field escalations; AWS, Azure, React, Java, and Postgres database; four (4) years: Kubernetes and Docker; building and implementing CI/CD pipelines; and one (1) year: managing software engineering teams. Apply: reference # 118677.</p>
<p>IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com</p>
<p>IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe</p>
<p>IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.</p>
The potential base pay range for this role is $201,885 - $239,700 The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.</div>

Associate Director, DevOps Engineering

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