senior software development engineer

Enlyte

<div>Company Overview:
<div>
At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.</div><div></div><div><b><br>
Be part of a team that makes a real difference.</b></div>
Job Description :
<div><b>
This is a full-time remote position that can be located anywhere in the U.S.</b><br>
<b>Must be willing to work on Central Time from 8am to 5pm</b></div><div></div><div><b><br>
Solution Development</b>: Design, develop, test, and deploy scalable applications using .NET technologies, C#, and SQL Server to meet complex business requirements</div><ul><li>
<b>Agile Collaboration</b>: Actively participate in Scrum ceremonies including sprint planning, daily standups, sprint reviews, and retrospectives to deliver high-quality solutions</li><li>
<b>Cloud-Native Development</b>: Build and maintain applications deployed on AWS infrastructure using Kubernetes for container orchestration</li><li>
<b>Code Quality</b>: Implement test-driven development (TDD) practices, conduct comprehensive unit and integration testing, and maintain high code quality standards</li><li>
<b>Technical Documentation</b>: Create and maintain technical specifications, API documentation, and test plans</li><li>
<b>Production Support</b>: Provide Level 3 application support and troubleshooting for production systems</li><li>
<b>Mentorship</b>: Guide and mentor junior developers, conducting code reviews and sharing best practices</li><li>
<b>Requirements Analysis</b>: Collaborate with stakeholders to understand business requirements and provide accurate development estimates</li><li>
<b>Architecture Compliance</b>: Ensure solutions adhere to established architecture standards, security policies, and risk management guidelines</li></ul>
Qualifications:
<div><b>
Education</b>:
</div><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or related field</li></ul><div></div><div><b><br>
Experience</b>:</div><ul><li>
5+ years of professional software development experience in .NET environments</li></ul><div></div><div><b><br>
Core Technologies</b>:</div><ul><li>
Strong proficiency in C# and .NET Framework/.NET Core</li><li>
 Experience with Entity Framework Core and ASP.NET Core MVC</li><li>
Advanced SQL skills and experience with SQL Server</li><li>
Frontend development experience with React or similar modern frameworks</li><li>
Cloud &amp; DevOps: Experience with AWS services and Kubernetes container orchestration</li></ul><div><b>
Development Practices</b>:</div><ul><li>
Solid understanding of object-oriented programming principles</li><li>
Experience with microservices architecture and design patterns</li><li>
Proficiency in unit testing frameworks and test automation</li><li>
Web Technologies: Experience with RESTful APIs, JSON, HTML5, CSS, and responsive web design</li></ul><div><b>
Agile Experience</b>: Proven experience working in Agile/Scrum environments</div><ul><li>
Knowledge of automated testing tools (Selenium, etc.)</li><li>
Familiarity with CI/CD pipelines and DevOps practices</li><li>
Experience with additional AWS services (RDS, Lambda, ECS, etc.)</li><li>
Understanding of security best practices in cloud environments</li><li>
Experience with monitoring and logging tools</li></ul>
Benefits:
<div>
We&rsquo;re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&amp;D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $87,800 - $120,000 annually, and will be based on a number of additional factors including skills, experience, and education.</div><div><br>
</div><p><i>The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.</i></p><div><br>
</div><div>Don&rsquo;t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div>
#LI-FP1<br>
#LI-Remote</div></div>

Senior Software Development Engineer

Unifonic

<div>
 <strong>
  <strong>
   Job Description
   <br/>
   <br/>
  </strong>
 </strong>
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 <br/>
 <br/>
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 <br/>
 <br/>
 <strong>
  Meet the team!
  <br/>
  <br/>
 </strong>
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 <br/>
 <br/>
 As a Senior SDET, you will design and implement test strategies, automation frameworks, and CI/CD integrations that ensure our systems meet the highest standards of quality and performance. You&rsquo;ll collaborate closely with developers, product owners, and DevOps engineers to build robust automation pipelines for UI, API, and backend testing, and contribute to load and performance testing initiatives.
 <br/>
 <br/>
 This role is ideal for a hands-on automation engineer with strong Python or TypeScript/JavaScript skills, a passion for quality engineering, and an interest in learning about testing AI-driven systems.
 <br/>
 <br/>
 <strong>
  <strong>
   Help Us Shape The Future Of Communications By:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Designing, building, and maintaining automated test frameworks for UI, API, and backend testing using Playwright, Cypress, or Selenium.
  </li>
  <li>
   Developing and executing integration and end-to-end test suites to ensure high-quality releases.
  </li>
  <li>
   Implementing performance and load testing using k6 or similar tools.
  </li>
  <li>
   Integrating automated testing into CI/CD pipelines (Git, Drone CI, Argo CD, Kubernetes).
  </li>
  <li>
   Driving test coverage, defect reporting, and quality metrics across multiple delivery teams.
  </li>
  <li>
   Collaborating with engineers to embed testing early in the SDLC and ensure reliable, scalable automation.
  </li>
  <li>
   Advocating for QA best practices, code quality, and automation-first principles.
  </li>
  <li>
   Leading continuous improvement initiatives evaluating new tools, frameworks, and techniques to enhance efficiency and maintainability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Job Requirements
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  What you'll bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   7+ years of experience in software testing or automation engineering.
  </li>
  <li>
   Strong programming skills in Python or TypeScript/JavaScript.
  </li>
  <li>
   Hands-on experience with at least one of the following: Playwright, Cypress, or Selenium (required).
  </li>
  <li>
   Experience with API testing (REST/GraphQL) and backend validation.
  </li>
  <li>
   Experience with k6 or other load testing tools for performance validation.
  </li>
  <li>
   Familiarity with CI/CD environments, containerized systems, and Kubernetes.
  </li>
  <li>
   Excellent understanding of test design, debugging, and automation in distributed systems.
  </li>
  <li>
   Experience working in Agile (Scrum) teams.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
  </li>
  <li>
   Exposure to AI/ML systems and model testing principles is preferable.
  </li>
  <li>
   Understanding of data validation frameworks (e.g., Great Expectations, Pandas is preferable.
  </li>
  <li>
   Awareness of MLOps, Data Drift, or Model Drift detection is preferable.
  </li>
  <li>
   Experience with Generative AI or AI Agent testing workflows is preferable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  As a Unifone you will receive a range of benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and bonus.
  </li>
  <li>
   Unifonic share scheme (we are all owners!).
  </li>
  <li>
   30 holiday days after your first anniversary.
  </li>
  <li>
   Flexible working arrangements.
  </li>
  <li>
   Spend up to 25 days per year working from anywhere in the world!
  </li>
  <li>
   Paid leave for new parents.
   <br/>
   <br/>
  </li>
 </ul>
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 <br/>
 <br/>
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 <br/>
 <br/>
 <strong>
  Meet the team!
  <br/>
  <br/>
 </strong>
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 <br/>
 <br/>
 As a Senior SDET, you will design and implement test strategies, automation frameworks, and CI/CD integrations that ensure our systems meet the highest standards of quality and performance. You&rsquo;ll collaborate closely with developers, product owners, and DevOps engineers to build robust automation pipelines for UI, API, and backend testing, and contribute to load and performance testing initiatives.
 <br/>
 <br/>
 This role is ideal for a hands-on automation engineer with strong Python or TypeScript/JavaScript skills, a passion for quality engineering, and an interest in learning about testing AI-driven systems.
 <br/>
 <br/>
 <strong>
  <strong>
   Help Us Shape The Future Of Communications By:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Designing, building, and maintaining automated test frameworks for UI, API, and backend testing using Playwright, Cypress, or Selenium.
  </li>
  <li>
   Developing and executing integration and end-to-end test suites to ensure high-quality releases.
  </li>
  <li>
   Implementing performance and load testing using k6 or similar tools.
  </li>
  <li>
   Integrating automated testing into CI/CD pipelines (Git, Drone CI, Argo CD, Kubernetes).
  </li>
  <li>
   Driving test coverage, defect reporting, and quality metrics across multiple delivery teams.
  </li>
  <li>
   Collaborating with engineers to embed testing early in the SDLC and ensure reliable, scalable automation.
  </li>
  <li>
   Advocating for QA best practices, code quality, and automation-first principles.
  </li>
  <li>
   Leading continuous improvement initiatives evaluating new tools, frameworks, and techniques to enhance efficiency and maintainability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What You'll Bring:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   7+ years of experience in software testing or automation engineering.
  </li>
  <li>
   Strong programming skills in Python or TypeScript/JavaScript.
  </li>
  <li>
   Hands-on experience with at least one of the following: Playwright, Cypress, or Selenium (required).
  </li>
  <li>
   Experience with API testing (REST/GraphQL) and backend validation.
  </li>
  <li>
   Experience with k6 or other load testing tools for performance validation.
  </li>
  <li>
   Familiarity with CI/CD environments, containerized systems, and Kubernetes.
  </li>
  <li>
   Excellent understanding of test design, debugging, and automation in distributed systems.
  </li>
  <li>
   Experience working in Agile (Scrum) teams.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
  </li>
  <li>
   Exposure to AI/ML systems and model testing principles is preferable.
  </li>
  <li>
   Understanding of data validation frameworks (e.g., Great Expectations, Pandas is preferable.
  </li>
  <li>
   Awareness of MLOps, Data Drift, or Model Drift detection is preferable.
  </li>
  <li>
   Experience with Generative AI or AI Agent testing workflows is preferable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  As a Unifone you will receive a range of benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and bonus.
  </li>
  <li>
   Unifonic share scheme (we are all owners!).
  </li>
  <li>
   30 holiday days after your first anniversary.
  </li>
  <li>
   Flexible working arrangements.
  </li>
  <li>
   Spend up to 25 days per year working from anywhere in the world!
  </li>
  <li>
   Paid leave for new parents.
  </li>
 </ul>
</div>


Senior Software Development Engineer in Test

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.<br>
<br>
We are seeking an exceptional Senior Software Engineer to lead our team in building the operational backbone of a revolutionary laser communication network connecting satellites in space and ground stations on Earth. This is a high-impact leadership role where you'll drive multiple concurrent projects that directly enable network operations at unprecedented scale.<br>
<br>
The Opportunity<br>
You'll architect and deliver mission-critical tools and services that power network operations for our dynamic space-based laser link infrastructure. Working in an environment where ambiguity meets innovation, you'll transform complex, evolving requirements into elegant, scalable solutions while mentoring and leading a team of engineers to execute your vision.<br>
<br>
What You'll Build<br>
Design and develop sophisticated multi-layered services that collect real-time telemetry from our satellite constellation, analyze network topology, and intelligently correlate data to identify and resolve faults. Your systems will automatically trigger remediation runbooks, escalate issues to appropriate teams, and leverage machine learning and generative AI to detect anomalies, perform root cause analysis, and predict customer impact before it occurs.<br>
<br>
What We're Looking For<br>
You bring proven experience architecting and delivering complex, distributed systems in production environments. As a full-stack engineer, you possess both the technical depth to build clean, maintainable back-end services and the product sensibility to create intuitive, actionable visualizations that operators can trust and understand at a glance. Your meticulous attention to detail manifests in every layer of the stack&mdash;from elegant API design and robust data pipelines to thoughtful UI/UX that transforms complex telemetry into clear operational insights.<br>
<br>
You excel at breaking down ambitious technical roadmaps into actionable milestones and have a track record of successfully onboarding and elevating junior engineers. Deep expertise in distributed cloud services and infrastructure-as-code principles is essential, as is the ability to thrive in high-ownership, high-accountability environments where your decisions directly impact mission success.<br>
<br>
Why This Role Matters<br>
Your work will be the operational nervous system of our space network&mdash;enabling seamless connectivity, ensuring reliability, and pushing the boundaries of what's possible in space-based communications.<br>
If you're passionate about solving hard problems at the intersection of space technology, distributed systems, and operational excellence, we want to hear from you.<br>
<br>
Export Control Requirement:
<br>
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead end-to-end automation initiatives as a team leader, developing sophisticated tools and services that address complex network operations, debugging, and troubleshooting challenges while guiding team efforts and priorities.</li></ul><br>
<ul><li>Collaborate with cross-functional teams to analyze network architecture, stakeholder requirements, and customer needs; architect and implement software solutions that deliver measurable business value.</li></ul><br>
<ul><li>Design and implement AI/ML solutions utilizing AWS services to enhance space network operations and problem resolution.</li></ul><br>
<ul><li>Drive data-driven decision making by developing and maintaining comprehensive network KPI (Key Performance Indicators) systems, including databases, dashboards, and visualization platforms for performance monitoring and reporting.</li></ul><br>
<ul><li>Provide technical leadership and mentorship as a team leader to software/network engineers through effective task delegation, project management, and onboarding programs to optimize team productivity and development cycles.</li></ul><br>
A day in the life<br>
As Senior Software Engineer, you begin your day by reviewing satellite network data, identifying anomalies, and formulating mitigation plans. You then analyze the performance metrics of the team's software tools/services, using these insights to guide your decision-making. Drawing on your deep expertise in distributed systems, cloud infrastructure, and DevOps, you lead cross-functional discussions to collaboratively design scalable architectures that automate data collection, analysis, and issue resolution. Throughout the day, you mentor junior engineers, align stakeholders, update project plans, showcasing your technical prowess, problem-solving skills, exceptional leadership to ensure the reliable operation of complex space satellite network.<br>
<br>
About the team<br>
The Optical Inter-Satellite Link (OISL) organization is responsible for the design, development, and manufacturing of critical hardware and software that makes laser links between satellites possible. We are rapidly expanding and developing a new Network Automation team. We are looking for a senior software engineer to join and lead our new team to develop novel software services that can automate fault finding based on satellite data, automate workflows and operational procedures, and use ML/AI to find and correlate anomalies in the space network, identify root causes, and predict customer impacts.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of non-internship professional software development experience</li><li>6+ years of programming with at least one software programming language experience</li><li>6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years of designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications, tools, systems, and services using: Java, JavaScript, TS, Python, React, Angular, etc.</li><li>Experience with AWS services such as EC2, S3, SQS, SNS, Lambda, Kafka, DynamoDB and event-driven systems etc.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>8+ 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, REDMOND - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, Amazon Leo OISL

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We're enhancing the shopping experience on Amazon through the conversational capabilities of large language models, and we're looking for innovative professionals who are passionate about technology and customer experience. You'll have the opportunity to drive breakthrough innovations in LLM inference and post-training efficiency while working alongside talented scientists, engineers, and technical program managers (TPMs) to create solutions that serve our customers.<br>
<br>
If you're excited about optimizing the computational heart of AI systems, collaborating with a dynamic team, and contributing to this evolving field, we'd love to have you join our mission to unlock unprecedented LLM performance!
<br>
<br>
Key job responsibilities<br>
We're looking for an experienced Software Development Engineer with deep expertise in GPU/customized chip kernel optimization and ML acceleration to lead projects in architecting, designing, developing, and optimizing high-performance kernel implementations for large language model. You'll guide your team in creating and optimizing innovative kernels, custom operators, and low-level optimizations that maximize hardware utilization and minimize computational overhead.<br>
In this role, you'll establish best practices for kernel development, memory management, and parallel computing that dramatically reduce inference latency and boost throughput for transformer-based models. You'll work with your team to develop kernel fusion techniques, attention mechanism optimizations, and matrix multiplication accelerations at scale, partnering with engineers and scientists in a fast-paced environment to deliver measurable performance gains. You'll also drive technical roadmap, performance benchmarking, and optimizations focused on kernel-level improvements.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with vLLM, SGLang, TensorRT or similar platforms in production environments</li><li>Experience with CUDA kernels or ML/low-level kernels</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ 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 with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer , Stores Foundational AI - Rufus

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium.<br>
<br>
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance.<br>
<br>
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.<br>
<br>
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology<br>
<br>
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers.<br>
<br>
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.<br>
<br>
You can learn more about Neuron<br>
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html<br>
https://aws.amazon.com/machine-learning/neuron/<br>
https://github.com/aws/aws-neuron-sdk<br>
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success<br>
<br>
Key job responsibilities<br>
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:<br>
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<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul><br>
A day in the life<br>
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.<br>
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You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative.<br>
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About the team<br>
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</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>
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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, NY, New York - 184,900.00 - 250,200.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

Talents Arena

<div><div><h4 class="jobSectionHeader"><b>Job Overview</b></h4><p>
We are looking to hire a Senior Software Engineer who can produce and implement practical software solutions. You will be working with the senior management to define software needs and will take the lead on technical and operational projects.</p><p>
You will be working independently with little supervision. Therefore, we expect you to have outstanding organizational and problem-solving skills. If you have experience in software development and agile methodologies, we certainly would like to see you!</p></div>
<div><h4 class="jobSectionHeader"><b>
Responsibilities</b></h4><ul><li>
Develop superior software architecture and design</li><li>
Identify, prioritize and properly execute activities in the software development cycle</li><li>
Develop applications and tools by producing efficient, clean code</li><li>
Automate tasks via appropriate scripting and tools</li><li>
Review and debug code on a regular basis</li><li>
Perform validation and verification testing</li><li>
Collaborate with the vendors and the internal teams to improvise the products</li><li>
Document the software development phases and examine systems</li><li>
Ensure that the program is up-to-date with the latest programming technologies</li></ul></div>
<div><h4 class="jobSectionHeader"><b>Requirements</b></h4><ul><li>
BA/BSc degree in Computer Sciences and related fields</li><li>
Proven work experience as a Senior Software Engineer</li><li>
Sound understanding of software development, scripting, as well as, project management</li><li>
Extensive experience in using different system monitoring tools and automated testing frameworks</li><li>
Knowledge of different operating systems such as Windows, Mac OS, and Linux</li><li>
Know-how of selected programming languages such as C++, Python, and the Java/J2EE platform</li><li>
Outstanding leadership and organizational skills</li><li>
Ability to work independently as well as in a team</li></ul></div></div>

Senior Software Engineer

Human Capital HR Solutions

<p><b>Senior Software Engineer</b></p><p><b>Job Type:</b> Full-Time, Permanent<br/><b>Industry:</b> Information Technology / Software Development<br/><b>Department:</b> Technology<br/><b>Team:</b> Development<br/><b>Location:</b> Karachi, Pakistan</p><p><b>About the Role</b></p><p>Human Capital HR Solutions is hiring a <b>Senior Software Engineer</b> on behalf of a USA-based IT industry client. We are seeking a highly skilled and forward-thinking software engineer who is passionate about building scalable, high-quality applications using modern frameworks and AI-augmented development practices.</p><p>This role is ideal for professionals who combine strong engineering fundamentals with an evolving AI mindset &mdash; leveraging intelligent development tools to enhance productivity, improve code quality, and drive innovation. You will collaborate closely with architects, QA engineers, and UX teams across the full software development lifecycle to build future-ready solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain clean, scalable, and testable software solutions aligned with business and technical requirements.</li><li>Enhance and optimize existing systems to ensure performance, reliability, security, and scalability.</li><li>Participate in all phases of the Software Development Lifecycle (SDLC), including design discussions, development, code reviews, testing, and deployment.</li><li>Utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code, Tabnine) to accelerate coding, reduce defects, and improve solution design.</li><li>Leverage AI-driven tools for testing, debugging, and documentation to streamline development workflows.</li><li>Collaborate with cross-functional teams to define technical requirements, architectural decisions, and coding standards.</li><li>Contribute to continuous improvement initiatives through automation, experimentation, and knowledge sharing.</li><li>Identify opportunities for AI integration within the product ecosystem and propose technical enhancements.</li><li>Perform root-cause analysis for production issues and implement sustainable solutions.</li><li>Maintain clear and comprehensive technical documentation for designs, code changes, and configurations.</li></ul><p><b>Qualifications</b></p><ul><li>Strong command of Java, Spring Framework, Hibernate/JPA, and related technologies.</li><li>Solid understanding of microservices architecture and distributed systems.</li><li>Experience with relational databases such as MySQL and PostgreSQL (NoSQL is a plus).</li><li>Familiarity with templating engines such as Velocity, Thymeleaf, or similar technologies.</li><li>Working knowledge of JavaScript, jQuery, and front-end integration patterns.</li><li>Exposure to AI/ML concepts, Python scripting, or AI frameworks such as LangChain or LlamaIndex is preferred.</li><li>Practical experience or strong interest in AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code, Tabnine).</li><li>Familiarity with CI/CD pipelines and containerization technologies such as Docker and Kubernetes is an advantage.</li></ul><p><b>Experience Requirements</b></p><ul><li>3&ndash;6 years of hands-on software development experience, preferably within enterprise or SaaS product environments.</li><li>Proven experience working across multiple services/components in microservices or distributed architectures.</li></ul><p><b>Education</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>Preference will be given to candidates graduated from reputed institutions such as GIK Institute, FAST-NUCES, Habib University, or other well-recognized national or international universities.</li></ul><p><b>How to Apply:</b><br/>Interested candidates are encouraged to apply by sending their updated resume to <b>careers1.hc@gmail.com</b> with the subject line <i>Senior Software Engineer </i></p><p>Job Type: Full-time</p><p>Work Location: In person</p>

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