aws software development engineer

CrossAsyst

<div><div><b>AWS Data Engineer (ETL Specialist)</b></div><div>
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Experience: </b>3-5 years (minimum 2+ years hands-on experience with AWS-native data engineering tools)</div><div></div><div><b><br>
Location</b>: Gigaplex, Airoli West</div><div>
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Role Overview: </b>The AWS Data Engineer will design, develop, and manage scalable data pipelines and analytics infrastructure in a cloud-native environment. This engineer will be responsible for architecting complex ETL processes using AWS-managed services, optimizing data performance, and ensuring data quality, security, and observability across multiple systems. The ideal candidate has deep AWS knowledge, strong ETL design experience, and a solid grasp of modern data engineering practices.</div><div>
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Key Responsibilities:</b></div><ul><li>Design and implement end-to-end ETL workflows leveraging AWS services such as Glue, Lambda, Step Functions, EMR, Redshift, Kinesis, and S3.</li><li>Develop and maintain data ingestion pipelines from structured, semi-structured, and streaming data sources.</li><li>Design and maintain data lake and data warehouse solutions (S3, Redshift, Lake Formation).</li><li>Build transformation logic with PySpark, SQL, or Python, ensuring performance and integrity.</li><li>Orchestrate workflows using AWS Glue Workflows, Apache Airflow, or Step Functions.</li><li>Implement data quality validations, monitoring frameworks, and automated alerts for pipeline health.</li><li>Collaborate with data scientists, analysts, and application engineering teams to ensure data accessibility and alignment with analytics use cases.</li><li>Ensure compliance with data governance and security frameworks (IAM, encryption, GDPR/HIPAA as applicable).</li><li>Participate in data architecture reviews, contributing to design best practices for reliability and scalability.</li><li>Document all data flows, transformations, and pipeline specifications for reproducibility and audits.</li></ul><div>
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Required Technical Skills:</b></div><ul><li>Strong development background in Python and SQL.</li><li>Expertise with AWS data services: Glue, Redshift, EMR, S3, RDS, Lambda, Kinesis, CloudWatch, and CloudFormation.</li><li>Deep understanding of ETL/ELT design patterns, including incremental loads and change data capture (CDC).</li><li>Familiarity with data modelling (Star/Snowflake schemas) and data lakehouse architectures.</li><li>Experience working with large-scale or real-time datasets.</li><li>Knowledge of data quality frameworks and data observability tools.</li><li>Comfort with DevOps and CI/CD workflows using Git, CodePipeline, or Terraform.</li><li>Advanced understanding of data security practices in AWS (IAM roles, encryption, network isolation).</li></ul><div>
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Desired Skills:</b></div><ul><li>Hands-on experience with Snowflake, Databricks, or Athena.</li><li>Familiarity with BI/analytics tools (QuickSight, Power BI, Tableau).</li><li>AWS certifications such as AWS Certified Data Engineer &ndash; Associate or Data Analytics Specialty.</li><li>Strong analytical and communication skills to translate business data needs into engineering solutions.</li></ul><div>
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Educational Requirements:</b></div><ul><li>Master's or Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related technical field.</li><li>AWS Data Engineering or Data Analytics certification preferred</li></ul></div>

AWS Data Engineer

HireWand Technologies

The AWS Data Engineer will design, develop, and maintain scalable data pipelines and architectures using AWS Glue, Amazon Redshift, AWS Lambda, and Amazon S3. This role requires expertise in AWS Kinesis, AWS CloudFormation, Apache Spark, Python, and AWS IAM to ensure secure and efficient data processing. The candidate will leverage AWS Data Pipeline, AWS Athena, Docker, Terraform, and Apache Airflow to automate workflows and optimize data integration. Proficiency in AWS CloudWatch, Scala, SQL, PySpark, CI/CD, and DevOps practices is essential for monitoring and continuous improvement.
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Strong problem-solving skills and critical thinking will drive innovative solutions to complex data challenges. Effective communication and collaboration are vital for working with cross-functional teams and stakeholders. Attention to detail and time management will ensure timely delivery of high-quality data solutions. Adaptability and project management skills will support evolving business needs and technology landscapes.
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<b>Responsibilities:</b> Demonstrate expert knowledge in AWS Glue, Amazon Redshift, AWS Lambda, Amazon S3, and Apache Spark to build and optimize data solutions. Design, implement, and maintain robust data pipelines and ETL processes using AWS Data Pipeline, Apache Airflow, and Python to support analytics and reporting. Develop infrastructure as code using AWS CloudFormation and Terraform to automate deployment and ensure scalable cloud environments. Monitor data workflows and system performance with AWS CloudWatch and implement CI/CD pipelines to enhance deployment efficiency and reliability.
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Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights. Apply best practices in AWS IAM for secure access control and compliance across data platforms and services. Manage containerized applications using Docker and integrate DevOps methodologies to streamline development and operational processes. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field is required.,Candidates must have 5-8 years of professional experience in data engineering with a focus on AWS technologies.,Proven experience in designing and managing cloud-based data infrastructure and pipelines is essential.
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We invite skilled AWS Data Engineers with 5-8 years of experience and expertise in AWS Glue, Redshift, Lambda, and related technologies to join our team. Candidates should excel in problem solving, effective communication, and project management to drive innovative data solutions in a collaborative and dynamic environment.

Arcesium

<p></p><div><div><div><h2 class="jobSectionHeader"><b>Company Overview</b></h2>
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<div><p>Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world&rsquo;s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow&rsquo;s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.</p>
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<p></p><p>Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.</p></div><div><h2 class="jobSectionHeader"><b>
Opening</b></h2>
<p>
We are hiring a AWS Cloud Cost Optimization Engineer to lead cost-efficiency efforts across our cloud environments, with a primary focus on AWS. In this role, you will analyze usage patterns and billing data to identify savings opportunities, including resource rightsizing, planning for Reserved Instances and Savings Plans, leveraging Spot capacity, and cleaning up unused resources. You will build automations to detect and clean up unused resources, enforce tagging policies for accurate reporting, and develop budget and dashboards that improve visibility into spend.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li>Monitor and analyze AWS usage and billing data to identify trends, anomalies, and savings opportunities.</li>
<li>Execute optimization strategies, including rightsizing and instance modernization; leveraging Reserved Instances, Savings Plans, and Spot capacity; recommending optimizations to container/Kubernetes requests and limits; and cleaning up ephemeral/abandoned resources (e.g. unattached volumes, stale snapshots, idle load balancers, orphaned pods).</li>
<li>Build automations and workflows to detect and clean unused resources (e.g. automated cleanup of unused resources, anomaly detection, cost alerts).</li>
<li>Partner with engineering teams to validate optimization opportunities, assess technical feasibility, and implement cost-saving measures.</li>
<li>Work with finance teams to align forecasts and budgets with actual spend, improve variance analysis, and strengthen accountability for cloud cost performance across business units.</li>
<li>Enforce cost policies and ensure tagging of resources is consistently applied, enabling accurate reporting and accountability.</li>
<li>Create dashboards, alerts, and KPIs to track spend and measure the impact of cost-saving initiatives and R&amp;D programs, ensuring savings are quantified and communicated.</li>
<li>Stay current on AWS pricing models, tools, and discount programs; engage with vendor teams to leverage savings opportunities.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications &amp; Skills</b></h2>
<ul><li>5&ndash;10+ years of experience in cloud cost optimization.</li>
<li>Hands&#8209;on experience implementing cost optimization measures (rightsizing, reservations, Spot, cleanup of abandoned resources).</li>
<li>Proficiency with automation and scripting (e.g. Python, Bash).</li>
<li>Experience with monitoring/alerting and workflow automation tools (CloudWatch, Lambda, Kubernetes tools, or equivalents).</li>
<li>Ability to build clear reports and dashboards for technical and business stakeholders.</li>
<li>Knowledge of AWS billing and native cost tool (Cost Explorer).</li>
<li>Strong communication and collaboration skills; experience working with engineering and finance teams.</li>
</ul><h2 class="jobSectionHeader"><b>Nice to have</b></h2>
<ul><li>Exposure to Azure or GCP cost models.</li>
<li>FinOps Practitioner or cloud provider certifications.</li>
</ul></div><div><p><i>
Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.</i></p></div></div>

AWS Cost Optimization Engineer New

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  Your IT Future, Delivered.
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  AI Software Engineer (Python, GenAI)
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 With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
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  Digitalization. Simply delivered.
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 At IT Services, we are passionate about technology. Our team is continuously expanding. No matter your level of Architecture proficiency, you can always grow within our diverse environment.
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 #DHL #DHLITServices #GreatPlace
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  Grow together.
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 The role of an AI Engineer is the pathfinder for the Engineering team. AI Engineers need to be able to understand the challenges on the ground and find solution to improve efficiency in delivering solutions for faster time to market. AI Engineer is proficient in leveraging available AI tools in applying real world use cases for better productivity.
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  Ready to embark on the journey? Here&rsquo;s what we are looking for:
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 As an AI Engineer, having Python experience, Prompt Engineering and Generative AI models, and AI use cases application is required. Also, knowledge of AI workflow tools such as LangChain and n8n will be a huge plus to help our company improve our business and IT processes with better efficiency, breaking down tasks to use the right learning models, while grounding results via &ldquo;context engineering&rdquo; using RAG and MCP protocols to ensure only relevant and good quality results are produced.
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 Aside from that, you should be able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.
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  Ready to embark on the journey? Here&rsquo;s what we are looking for:
  <br/>
  <br/>
 </strong>
 As a Software Engineer, having Python experience, Prompt Engineering and Generative AI models, use cases knowledge is a huge plus. Very good knowledge of Software Development Methodologies and DevSecOps process and tools and Java &amp; Node.js programming language will also be an integral part of this role.
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 <br/>
 You are a GenAI aficionado, therefore you have a good understanding of version control systems (e.g., Git) and project management tools, analytical and soft skills. You are able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.
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  An array of benefits for you:
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   Hybrid work arrangements to balance in-office collaboration and home flexibility.
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   Annual Leave: 42 days off apart from Public / National Holidays.
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   Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.
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   In House training programs: professional and technical training certifications.
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AI Software Engineer

Zensar Technologies

<div><p>Strong proficiency in Python and backend frameworks (FastAPI, Flask)
</p><p>Solid understanding of SQL/PLSQL and data modeling
</p><p>Familiarity with Celery, Redis, and asynchronous processing
</p><p>Proficient with uv for lightweight Python environment management
</p><p>Pydantic for data validation and ensuring type safety and clarity in API schemas
</p><p>Hands-on experience with Docker, Jenkins, and CI/CD workflows
</p><p>Experience with Git and collaborative development workflows
</p><p>Hands-on experience working in Linux-based environments
</p><p>Experience with evaluation frameworks such as Opik and RAGS
</p><p>Hands-on with Generative AI (GenAI) workflows, including prompt engineering, and integration with LLM APIs
</p><p>Agentic AI development using frameworks like LangChain and LangGraph
</p><p>Built custom LangChain agents for document Q&amp;A, data extraction, and workflow orchestration using memory, tools, and chains
</p><p>Exposure to Azure and AWS services and deployment strategies
</p><p>Strong testing mindset with experience in unittest and pytest
</p><p>Excellent problem-solving and communication skills.
</p><p>Knowledge of API security and performance optimization
</p><p>Experience with monitoring tools and logging frameworks
</p><p>Familiarity with Agile methodologies and DevOps culture</p></div>

AES - DE - Generative AI Application Developers

Zillion Technologies

<p><b>Job Title: AWS Consultant With Python Programming exp.</b></p><p><b>Location: Virtual/ Remote </b></p><p><b>Required Skills:</b></p><ul><li>Experience in AWS cloud &ndash; Lambda based microservices</li><li>GitLab CICD experience</li><li>GitHub CICD experience (GitHub Actions is a plus)</li><li>Go &amp; Python programming language.</li></ul><p><b>Preferable skills:</b></p><ul><li>Experience in building &amp; managing CICD pipelines for Kubernetes Services</li><li>Experience in CICD migrations.</li></ul><p>Job Type: Permanent</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: Remote</p>

AWS Consultant With Python Programming

Impressico Business Solutions

<div><p>Location: <b>Noida / Hyderabad
</b></p><p>Experience: <b>10+ years</b></p>
<p>No. Of Openings: <b>1</b></p></div>
<br><div><div><div><h3 class="jobSectionHeader"><b>Job Description
</b></h3><p>Need a Senior developer having 10+ experience in .NET and C#</p>
<p>
Should be able to understand the SDLC lifecycle process, Design specification, and Client Requirements</p>
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Preferred:</b></p>
<ul>
<li>Strong experience working on Azure Portal and key Azure Services.</li>
<li>Proficient with NUnit and test-driven development.</li>
<li>Experience in JIRA or Azure DevOps</li>
</ul>
<p><b>Soft Skills:</b></p>
<ul>
<li>Ability to take a loose (unbounded) and work out</li>
<li>Strong communications</li>
<li>Self-starting and delivery focused</li>
</ul><h3 class="jobSectionHeader"><b>Job Specification</b></h3>
<p>Essential core skills:</p>
<ul>
<li>C#/.Net</li>
<li>Integrations with an understanding of Azure technology:
<ul><li>Logic Apps, Function Apps, Message Queues, Key vaults.</li>
Comfortable in the Azure portal for administration of resources<br>
<li>
<br>
</li></ul></li></ul><h3 class="jobSectionHeader"><b>Required Key Skills
</b></h3><p><b>Good To Have
</b></p><ul><li>API integration experience e.g. working with and implementing against API / protocol specifications</li>
<li>OAUTH &ndash; or other token-based authentications.</li>
<li>Ideally also familiar with transport protocols e.g. JSON / XML / HTTP / FTP / AS2</li>
<li>Familiarity with EDI protocols such as EDIFACT, GS1, X12 etc beneficial but not essential</li></ul></div></div></div><div></div>

Senior .Net Developer

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