aws software development engineer

Openkyber

<div>Full Stack Engineer (Python | AWS | Scalable Systems)/F2F required Reston, VA Duration: Long term
We are seeking a Senior Full Stack Engineer to support the design, development, and scaling of cloud-native applications. The role involves working across the stack using Python and modern frontend frameworks, with a strong focus on building robust APIs and distributed systems on AWS (Lambda, ECS, RDS, etc.). The ideal candidate should have demonstrated experience in owning end-to-end development, delivering production-grade solutions, and contributing to system architecture, performance optimization, and reliability. The engineer will collaborate with cross-functional teams to ensure high-quality, scalable, and maintainable implementations. We are looking for candidates with a strong foundation in clean code practices, scalable system design, and cloud-native development, along with experience working with LLM models and integrating AI-driven capabilities into applications.
Skills:
<ul><li>Proven experience developing and deploying production-grade applications</li>
<li>Experience working with LLM models and integrating AI-driven capabilities into applications</li>
<li>Strong proficiency in Python and backend frameworks such as FastAPI, Flask</li>
<li>Experience building full-stack applications using modern frontend frameworks (e.g., React, Angular, or Vue.js)</li>
<li>Solid understanding of RESTful APIs, microservices architecture, and distributed systems</li>
<li>Hands-on experience with databases (SQL and NoSQL) such as PostgreSQL, DynamoDB</li>
<li>Strong experience with AWS services, including EC2, ECS, Lambda, RDS, S3, API Gateway, DynamoDB, ALB, Batch, and EFS</li>
<li>Experience with cloud-native architectures, containerization (Docker), and orchestration (Kubernetes)</li>
<li>Experience with CI/CD pipelines, Git, and platforms such as GitLab</li>
<li>Proficiency in Software Development Lifecycle (SDLC) best practices</li>
<li>Experience with infrastructure as code using tools like Terraform</li>
<li>Strong understanding of software design principles, data structures, and algorithms</li>
<li>Experience with automated testing, including unit and integration testing, and maintaining high code quality through code reviews</li>
<li>Ability to design and optimize systems for performance, scalability, and reliability</li>
<li>Experience processing large-scale data in formats such as JSON, XML, and Parquet</li>
<li>Experience using AI-assisted coding tools (e.g., GitHub Copilot or similar)</li>
<li>Strong problem-solving skills and ability to work in an agile, collaborative environment</li>
</ul>Education/Work Experience:
<ul><li>Bachelor degree in Computer Science, Information Systems or related field</li>
<li>Professional certification(s) desired 10+ years software development experience across the appropriate platform</li>
<li>Solid IT background and experience.</li>
<li>Experience as a Senior Developer for projects similar in scope and responsibility</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

AWS Data Engineer

BCforward

<div>
 
 
 BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
 
 
 
 
 
 
 
 Role: AWS Data Engineer
 
 
 
 
 Duration: 6+ months
 
 
 
 
 Locations: Seattle, WA
 
 
 
 
 
 
 
 Anticipated Start Date:
 
 04/13/2026
 
 
 
 Job Type:
 
 Contract &ndash; Onsite
 
 
 
 
 
 We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 
 
 
 
 
 
 Key Skills:
 
 AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data pipelines and AWS infrastructure
 </li>
 <li>
 Work with Redshift for data warehousing and querying
 </li>
 <li>
 Use Glue, Athena, and Lambda for data processing and automation
 </li>
 <li>
 Support cloud deployments, monitoring, and troubleshooting
 </li>
 <li>
 Ensure security and compliance standards are followed
 </li>
 <li>
 Assist in migrating data and applications to AWS
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 
 
 
 
 
 
 About BCforward:
 
 
 
 Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 
 
 fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 
 
 unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 
 
 Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 
 
 Consultants support more than 225 clients globally.
 
 
 BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 
 
 With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 
 
 achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 
 
 become a market leader and best in class place to work.
 
 
 BCforward is 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, or protected veteran status and will not be discriminated against based on disability.
 
 
 To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 
 
 This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 
</div>

BFG Enterprise Services

<div>Description:

Location: Remote (U.S. Only) 
Environment: Government-Furnished Equipment (GFE), HIPAA-Compliant 
Client: Department of Veterans Affairs (VA) &ndash; SPGP Program 
Type: Full-Time / Contract
Position Overview
BFG Enterprises is seeking an AWS Data Platform Engineer (Integration &amp; Operations) to support and stabilize a cloud-based data platform for the Staff Sergeant Parker Gordon Fox Suicide Prevention Grant Program (SPGP).
This role focuses on system reliability, data pipeline validation, environment management, and integration stability across AWS services and external systems. The engineer will work across development, operations, and data workflows to ensure the platform functions consistently and securely in a federal, HIPAA-compliant environment.
Requirements:

Key Responsibilities<ul><li>
Operate, monitor, and troubleshoot ETL pipelines running on AWS Lambda (Node.js)</li><li>
Validate data flows from external systems through ETL into Amazon DocumentDB</li><li>
Diagnose and resolve issues involving APIs, authentication (JWT), and data inconsistencies</li><li>
Manage deployments across DEV, PPD, and PROD environments</li><li>
Execute and verify safe code deployments from GitHub</li><li>
Monitor logs and system behavior using AWS CloudWatch</li><li>
Manage and update SSL/TLS certificates (DigiCert, Venafi)</li><li>
Ensure secure connectivity to databases and services</li><li>
Perform database queries and validation in DocumentDB (MongoDB-compatible)</li><li>
Support and improve CI/CD pipelines using GitHub Actions or similar tools</li><li>
Maintain documentation and standard operating procedures</li><li>
Participate in required meetings with VA, MITRE, and internal stakeholders</li></ul>
Required Qualifications<ul><li>
3+ years of experience in cloud engineering, data engineering, or platform engineering</li><li>
Strong experience with Node.js and JavaScript</li><li>
Hands-on experience with AWS Lambda</li><li>
Experience troubleshooting ETL or data processing workflows</li><li>
Experience working with REST APIs, including authentication (JWT, API keys, OAuth)</li><li>
Experience with MongoDB or Amazon DocumentDB</li><li>
Familiarity with GitHub (branching, commits, pull requests)</li><li>
Experience using logs for debugging (e.g., CloudWatch)</li><li>
Ability to work across multiple environments (DEV, staging, PROD)</li><li>
Strong problem-solving and troubleshooting skills</li><li>
Clear communication and documentation ability</li></ul>
Preferred Qualifications<ul><li>
Experience with GitHub Actions or CI/CD pipelines</li><li>
Experience with AWS EventBridge (scheduled jobs)</li><li>
Experience managing SSL/TLS certificates</li><li>
Familiarity with Docker or container-based systems</li><li>
Experience in federal, healthcare, or HIPAA-compliant environments</li><li>
Exposure to AWS GovCloud</li></ul>
Security and Compliance Requirements<ul><li>
Must be comfortable working on a GFE (Government-Furnished Equipment) laptop</li><li>
Must adhere to HIPAA and federal data security requirements</li><li>
Must follow strict access control, credential handling, and system usage policies</li></ul>
What Success Looks Like<ul><li>
ETL pipelines run reliably across all environments</li><li>
External API integrations are stable and monitored</li><li>
Deployments are controlled and do not introduce risk</li><li>
Data in DocumentDB is accurate and validated</li><li>
Issues are quickly identified and resolved</li><li>
Operational processes are documented and repeatable</li></ul>
How to Apply
Please submit a resume and a brief description of relevant experience with AWS, ETL, APIs, and Node.js.</div>

AWS Platform Engineer (Integration & Operations)

InterEx Group

<div>
 
 A big client of ours in New York is currently searching for a AWS Data Engineer.
 
 
 
 
 
 They are one of the largest Retail businesses globally with over 100,000 employees whereby they are working extensively with AWS and are looking to build a team of AWS Data Engineers to support the build-out of a brand new data platform on AWS Data Lake. They are looking to hire 5 people for this team and are open to hiring both Contract and Full Time Employees.
 
 
 
 
 
 Role Essentials:
 
 <ul>
 <li>
 AWS Experience
 </li>
 <li>
 Data Modernization
 </li>
 <li>
 Data Bricks
 </li>
 <li>
 Data Lake
 </li>
 <li>
 Data Factory
 </li>
 <li>
 AWS certifications are a plus
 </li>
 </ul>
 
 
</div>

AWS St Data Engineer

YO IT CONSULTING

<div>Job Title: AWS Engineer
Job Type: Contractor
Location: Remote
Job Summary:
Join our pool of expert AWS Engineers and be at the forefront of impactful future projects with our customer's team. We are seeking professionals who are passionate about AWS cloud technologies, automation, and secure, scalable infrastructure. This is an excellent opportunity for experienced engineers eager to collaborate on innovative solutions and be considered for upcoming opportunities.
Key Responsibilities:
<div><ul><li>Design, deploy, and manage AWS infrastructure using EC2, S3, RDS, and other core services.</li></ul>
<ul><li>Implement and maintain identity, access management, and network configurations (IAM, VPC).</li></ul>
<ul><li>Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or CloudFormation).</li></ul>
<ul><li>Monitor system performance and troubleshoot issues utilizing AWS CloudWatch and related tools.</li></ul>
<ul><li>Develop and maintain scripts in Bash and Python to streamline operational tasks.</li></ul>
<ul><li>Ensure robust security practices and compliance across all cloud operations.</li></ul>
<ul><li>Collaborate with cross-functional teams to deliver scalable, reliable, and resilient cloud solutions.</li></ul>
</div>Required Skills and Qualifications:
<div><ul><li>Proven expertise with AWS core services: EC2, S3, IAM, VPC, RDS, and CloudWatch.</li></ul>
<ul><li>Solid foundation in Linux administration and shell scripting (Bash).</li></ul>
<ul><li>Experience developing automation with Python.</li></ul>
<ul><li>Deep understanding of network basics and cloud security best practices.</li></ul>
<ul><li>Hands-on with Infrastructure as Code tools such as Terraform or CloudFormation.</li></ul>
<ul><li>Skilled in troubleshooting, monitoring, and optimizing cloud environments.</li></ul>
<ul><li>Demonstrated ability to work independently and in a collaborative, remote setting.</li></ul>
</div>Preferred Qualifications:
<div><ul><li>AWS Certified Solutions Architect or similar certifications.</li></ul>
<ul><li>Experience working in a customer-facing or consulting capacity.</li></ul>
<ul><li>Background in designing highly available, fault-tolerant systems in AWS environments.</li></ul></div></div>

AWS Engineer - Remote

<div>Role Overview We are seeking a skilled Business Intelligence (BI) Engineer with strong expertise in Amazon QuickSight and AWS analytics services to support business teams in building scalable, self-service reporting solutions. The ideal candidate will partner closely with business stakeholders to understand reporting needs, enable self-service analytics , and design reusable reporting frameworks, templates, and data flows that reduce compute costs and improve reporting efficiency across the organization. This role requires a mix of technical BI development, data modeling, stakeholder collaboration, and cost optimization within AWS .
Key Responsibilities
1. QuickSight Development &amp; Dashboard Engineering Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight . Build high-performance dashboards optimized for large datasets and fast refresh times. Implement row-level security (RLS) and governance controls for business users. Create standardized QuickSight templates and dashboard frameworks that can be reused across teams. Design and maintain semantic layers and curated datasets for reporting. Optimize dashboards to reduce SPICE usage, refresh costs, and compute consumption .
2. Self-Service BI Enablement Work directly with business users and analysts to enable self-service reporting capabilities . Provide guidance on best practices for dashboard design and data consumption . Create reusable data models, templates, and reporting accelerators . Develop training materials and documentation for business teams to build their own dashboards. Conduct workshops and enablement sessions for business users on QuickSight usage.
3. Data Modeling &amp; Dataset Engineering Design and maintain optimized datasets and data models for BI reporting. Build reusable data flows and data pipelines that serve multiple reporting use cases. Work with engineering teams to integrate data from sources such as: AWS Redshift S3 Athena RDS Glue Data Catalog Ensure datasets follow governance, quality, and consistency standards .
4. Reporting Frameworks &amp; Reusable Components Create reusable reporting templates, dataset templates, and QuickSight themes . Build standardized KPIs, calculated fields, and metric definitions . Design modular reporting components that can be used across multiple dashboards. Implement parameterized dashboards and reusable visual components .
5. Performance Optimization &amp; Cost Management Identify opportunities to reduce compute costs associated with reporting workloads . Optimize use of SPICE vs direct query based on performance and cost requirements. Monitor and tune query performance across Athena, Redshift, and other data sources . Implement efficient refresh schedules and dataset management strategies . Provide recommendations for cost-efficient reporting architectures on AWS .
6. Collaboration with Business &amp; Data Teams Partner with product owners, business analysts, and leadership teams to understand reporting requirements. Translate business needs into scalable BI solutions . Work with data engineering teams to ensure required datasets are available and optimized. Participate in requirements gathering and reporting roadmap planning .
7. Governance, Documentation &amp; Standards Establish BI standards and governance for QuickSight dashboards . Maintain documentation for: datasets metrics dashboard logic reporting frameworks Ensure adherence to data security and access policies . Implement naming conventions and versioning for dashboards and datasets .
Required Qualifications
8+ years of experience in Business Intelligence, Analytics Engineering, or Data Visualization . Strong hands-on experience with Amazon QuickSight . Experience designing interactive dashboards and enterprise reporting solutions . Solid knowledge of SQL and data modeling . Experience working with AWS analytics services such as: Athena Redshift S3 Glue Experience enabling self-service analytics for business users . Strong understanding of data visualization best practices . Experience optimizing reporting performance and cost efficiency .
Preferred Qualifications
Experience building QuickSight templates, themes, and reusable datasets . Experience with BI governance and semantic layer design . Familiarity with data pipelines and ETL frameworks . Knowledge of AWS cost optimization strategies . Experience supporting large-scale enterprise reporting environments . Experience with other BI tools such as Tableau, Power BI, or Looker .
Key Skills
Amazon QuickSight SQL &amp; Data Modeling AWS Analytics Stack Dashboard Design BI Architecture Self-Service Analytics Enablement Performance Optimization Cost Optimization Stakeholder Communication
Deliverables / Expected Outcomes Standardized QuickSight reporting templates Reusable datasets and semantic reporting layers Improved self-service BI adoption across business teams Reduced compute and reporting infrastructure costs Scalable dashboard frameworks and governance standards
For applications and inquiries, contact: hirings@openkyber.com</div>

AWS Network Engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
 
 
 About the role:
 
 
 Are you passionate about AI and interested in shaping the future of interactive and generative technology? We are seeking a talented AI Software Engineer to join our team and contribute to the development of cutting-edge copilot and agent services using Large Language Models (LLMs). Our aim is to create copilots that provide intelligent, conversational experiences and agents that will redefine how our users interact with our software.
 
 
 If you're excited about working with the latest advancements in Generative AI and delivering top-notch services in a fast-paced environment, we'd love for you to apply.
 
 
 What you&rsquo;ll be doing:
 
 
 As an AI Software Engineer, you will design, build, and maintain copilot and agent solutions powered by LLM technology. Your responsibilities include:
 
 
 <ul>
 <li>
 Assessing the current capabilities of agent services in the Siemens DI ecosystem for our adoption
 </li>
 <li>
 Collaborating with company-wide cross-functional teams to reflect our team&rsquo;s requirements and help extending central services features when necessary, using the contribution model.
 </li>
 <li>
 Collaborating with product teams for their adoption of agent frameworks; support integration of UI, help setting up product specific agents, ensure high quality by keeping up with the latest AI model capabilities.
 </li>
 <li>
 Ensuring the copilots and agents are scalable and maintain high performance
 </li>
 <li>
 Helping the transition of the organization towards AI-assisted products by training and upskilling product teams.
 </li>
 <li>
 Writing clean, testable code and engaging in peer code reviews to maintain high standards of software quality.
 </li>
 <li>
 Assessing service performance, troubleshooting issues, and deploying fixes to ensure seamless user experiences.
 </li>
 <li>
 Staying current with industry trends in agent development and LLM advancements, applying this knowledge to improve our service offerings.
 
 
 </li>
 </ul>
 What you&rsquo;ll bring:
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in Computer Science, AI, or a related technical field, with relevant experience in copilot/agent development.
 </li>
 <li>
 Solid understanding of and experience with LLM frameworks and conversational AI technologies.
 </li>
 <li>
 Proficient in programming languages relevant to AI and copilot/agent development, such as Python.
 </li>
 <li>
 Experience with multi-team, collaborative software development including source control and collaborative design and code reviews
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure) and their AI-related services and tools is a plus.
 </li>
 <li>
 Experience in deploying and maintaining applications in a 24x7 production environment, including handling scalability and security considerations is beneficial.
 </li>
 <li>
 A proactive approach to problem-solving, a keen eye for optimization, and a passion for learning and implementing emerging technologies.
 </li>
 <li>
 Excellent collaborative skills for working in a highly interdisciplinary subject.
 
 
 </li>
 </ul>
 If you're excited by the prospect of developing AI-driven solutions that resonate with users and create compelling interactions, we encourage you to apply. If you don't have every qualification mentioned but believe you can bring value to our team, we're eager to know more about your unique perspectives and experiences. Join us and help build AI services that redefine the standard for AI-human interaction.
 
 
 We are Siemens:
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the everyday!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
 
 
 Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
 
 
 #DISWSIM
 
 
</div>

AI Software Engineer

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AWS Data Engineer

AWS Data Engineer

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