software engineer Jobs in Seattle United States

software engineer

software engineer ii Jobs in Seattle United States

software engineer ii

aiml - machine learning researcher, mlr Jobs in Seattle United States

aiml - machine learning researcher, mlr

full stack software engineer Jobs in Seattle United States

full stack software engineer

senior ml engineer Jobs in Seattle United States

senior ml engineer

software engineer machine learning all levels

Overland AI

<div>
 
 About Overland AI
 
 
 
 Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
 
 
 Overland AI has secured $42M in funding, including a Series A led by 8VC, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
 
 
 We are looking for machine learning experts to join our team to advance the state of off-road autonomy.
 
 
 
 Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered.
 
 
 
 
 In this role, you will:
 
 
 
 <ul>
 <li>
 Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python).
 </li>
 <li>
 Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
 </li>
 <li>
 Serve as a technical expert for the team balancing short-term deliverables and long-term directions.
 </li>
 <li>
 Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems.
 </li>
 <li>
 Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
 </li>
 <li>
 Excellent linear algebra, probability theory, and optimization knowledge.
 </li>
 <li>
 Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc.
 </li>
 <li>
 You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
 </li>
 <li>
 Ability to obtain and maintain a DOD Security Clearance.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Overland AI believes in creating a work environment that you look forward to embracing every day.
 
 
 
 
 <ul>
 <li>
 The salary range for this position is $120K to $300K annually
 </li>
 <li>
 Equity compensation
 </li>
 <li>
 Best-in-class healthcare, dental and vision plans.
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 401k with company match
 </li>
 <li>
 Parental leave
 </li>
 </ul>
</div>

Software Engineer, Machine Learning (All levels)

Hive

About Hive Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world&rsquo;s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines. Responsibilities<ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed</li><li>Write and maintain scalable, performant code that can be shared across platforms</li><li>Contribute meaningfully to the product and core backend systems by suggesting and executing improvements</li><li>Improve engineering standards, tooling, and processes</li><li>Develop novel, accurate, and performant ML algorithms for use at scale</li><li>Conduct metric-driven research experiments to improve model performance</li><li>Provide mentorship to and help onboard ML engineers</li><li>Lead cross-functional collaboration with other teams</li><li>Contribute to defining strategic direction, planning the roadmap</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul>Minimum Requirements<ul><li>You have a Bachelor's Degree in computer science or a related field</li><li>You have 8+ years of experience building web applications</li><li>You have successfully implemented highly-available distributed systems/microservices</li><li>You have delivered scalable backend APIs</li><li>You have strong interpersonal and communication skills with a bias towards action</li><li>You have experience writing code and training across distributed systems</li><li>You have the ability to understand and make well-reasoned tradeoffs in designing features</li><li>You are an expert in machine learning frameworks, such as PyTorch or Tensorflow</li><li>You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis</li><li>You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing</li><li>You can lead end to end development of new products</li></ul>Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon!Job Type: Full-timePay: $200,000.00 - $300,000.00 per yearWork Location: In person

Staff ML Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
About Sponsored Products and Brands 
 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
Key job responsibilities 
As a Software Development Engineer in Machine Learning, you will:
 
<ul><li>Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.</li><li>Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.</li></ul> 
About the team 
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Software Dev Engineer, Sponsored Products and Brands Ads Response Prediction

About HiveHive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!Engineering Manager RoleIn order to execute our vision, we're constantly growing our engineering team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects. Our ideal candidate has experience managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.Responsibilities<ul><li>Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team</li><li>Lead a development team of highly capable and passionate engineers, helping them achieve their goals through mentorship</li><li>Participate in products technical design and architecture</li><li>Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy</li><li>Drive delivery for our product milestones, continually releasing features and ensuring quality metrics are achieved</li><li>Implement and manage security protocols such as training, code review, and best practices</li><li>Own and manage the risk and security of your business function in coordination with the Security Team</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul>Requirements<ul><li>Undergraduate or graduate degree in computer science or similar technical field</li><li>4+ years experience developing software as an engineer, with experience in distributed systems and large scale application development a plus</li><li>3+ years experience managing engineering teams. Familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etc</li><li>Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results</li><li>Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members</li><li>Have experience collaborating with product managers and QA in delivering product features</li></ul>Who We AreWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.Thank you for your interest in Hive and we hope to meet you soon!Job Type: Full-timePay: $160,000.00 - $250,000.00 per yearWork Location: In person

Engineering Manager (Seattle)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are looking for a Software Development Engineer II who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of ad serving on Amazon search. You will build services to handle billions of requests per day, while maintaining response latency in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would ensure relevant ads are served to Amazon's customers. You will directly impact our customers&rsquo; shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to innovations in product search, information retrieval, natural language processing (NLP), LLM training, deep learning, and image processing. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior engineers and guiding them to deliver high impacting products and services for Amazon customers and sellers. 
 
 
 
Key job responsibilities 
Job Responsibilities:
 
 
<ul><li>Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.</li><li>Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models, improve the team&rsquo;s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</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><li>Experience building complex software systems that have been successfully delivered to customers</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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 machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Experiences with LLM, prompt engineering</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer II, Sponsored Products Sourcing Delivery

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Shape the Future of AI Accelerators at AWS Neuron 
 
Join the elite team behind AWS Neuron&mdash;the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale. 
 
What You'll Impact: 
<ul><li>Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen</li><li>Optimize breakthrough language and vision generative AI models</li><li>Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration</li><li>Drive performance benchmarking and tuning that directly impacts millions of inference calls globally</li></ul> 
Key job responsibilities 
You will drive the Evolution of Distributed AI at AWS Neuron 
 
As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization&mdash;it's about revolutionizing how AI models run at scale. 
 
Technical Impact You'll Drive: 
<ul><li>Spearhead distributed inference architecture for PyTorch and JAX using XLA</li><li>Engineer breakthrough performance optimizations for AWS Trainium and Inferentia</li><li>Develop ML tools to enhance LLM accuracy and efficiency</li><li>Transform complex tensor operations into highly optimized hardware implementations</li><li>Pioneer benchmarking methodologies that shape next-gen AI accelerator design</li></ul> 
What Makes This Role Unique: 
<ul><li>Direct influence on AWS's AI infrastructure used by thousands of ML applications</li><li>Full-stack optimization from high-level frameworks to hardware-specific primitives</li><li>Creation of tools and frameworks that define industry standards for ML deployment</li><li>Collaboration with both open-source ML communities and hardware architecture teams</li></ul> 
Your Technical Arsenal Should Include: 
<ul><li>Deep expertise in Python and ML framework internals</li><li>Strong understanding of distributed systems and ML optimization</li><li>Passion for performance tuning and system architecture</li></ul> 
A day in the life 
Work/Life Balance 
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 
 
Mentorship &amp; Career Growth 
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. 
 
About the team 
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment. 
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads. 
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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>5+ years of programming experience using Python or C++ and PyTorch.</li><li>Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in computer science or equivalent</li><li>Master's degree in machine learning or equivalent</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Experience in developing CUDA kernels, HPC and inference optimization, tensors operations</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Software Engineer- AI/ML, AWS Neuron Apps

ExtraHop Networks

<div><div>ExtraHop is reinventing Network Detection and Response (NDR) to help enterprises and organziations stay ahead of emerging threats with unmatched network visibility, context, and control.

Today's attackers bypass traditional security defenses through identity-based entry, move invisibly across cloud, on-premise, and data center networks using encryption and trusted applications, and exploit and exit whenever they want. But all of that movement is visible on the network... if you can see it.

By combining the power of NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics in a single, integrated platform, ExtraHop can decrypt and unlock complete packet-level data at wire speed, analyze and correlate it across all your networks, applications, devices, and users with cloud-scale machine learning, and provide a single interface to the SOC to detect, investigate, and remediate modern cyber risks in real time.</div>
Position Summary

As a Software Engineer II, you'll take on complex development challenges, contribute to architecture and design discussions, and help scale secure systems that power our core products. You'll work closely with cross-functional partners in Engineering, Product, and Security to deliver customer-facing features that enable detection, visibility and automation at scale. This role is ideal for an engineer who thrives in collaborative environments, demonstrates initiative, and is driven to deliver impact through technical excellence and thoughtful design.

Our services and features are written primarily in Python, Golang, TypeScript and React with a focus on security, scalability, stability and type-first design. Our team develops public REST APIs, solves database scalability challenges, implements data migrations, and enables configuration management across our fleet of services.

The R(x) 360 Platform is built on AWS and GCP. It utilizes Terraform to define Infrastructure-as-Code and our services. This platform allows us to build native product and service integrations, first-class customer-facing workflows, and high throughput data pipelines. Our goal is to build a reliable platform for customer-facing services while encouraging healthy work-life balance via automated remediation and fault-tolerant designs. 

Key Responsibilities
<ul>
<li>Design, develop, and maintain services for ExtraHop's core Framework systems.</li>
<li>Lead implementation of moderately complex components or features with minimal guidance.</li>
<li>Participate actively in agile development processes, code reviews, and technical design discussions.</li>
<li>Collaborate with product and architecture teams to translate business requirements into scalable engineering solutions.</li>
<li>Investigate, diagnose, and resolve production and performance issues, driving root-cause analysis and preventive measures.</li>
<li>Contribute to platform modernization initiatives and the adoption of new technologies or frameworks.</li>
<li>Mentor junior team members through code paring, reviews, and knowledge-sharing.</li></ul> 
 
Required Qualifications
<ul>
<li>Bachelor's degree in STEM field, Computer Science, Engineering, or related degree requiring systematic/analytical thinking</li>
<li>2-4 years of professional experience developing production software</li>
<li>Solid knowledge of Go, Python, or an equivalent programming language</li>
<li>Proven ability to build and maintain distributed systems or cloud-based services (AWS, GCP preferred).</li>
<li>Strong understand of REST APIs, microservice architecture, and CI/CD pipelines</li>
<li>Solid grasp of data structures, algorithms, and software design principles</li>
<li>Self-starter with strong analytical skills and ability to decompose complex problems into actionable engineering tasks</li>
<li>Excellent collaborator and communicator with a growth mindset and customer-first orientation</li>
</ul>
The salary range for this position is 130,000-1450,000 + bonus + benefits<div>
ABOUT EXTRAHOP: 
 
 
ExtraHop empowers enterprises to stay ahead of evolving threats with the most comprehensive approach to network detection and response (NDR). Since 2007, the company has helped organizations across the globe extract real-time insights from their hybrid networks with the most in-depth network telemetry.

ExtraHop NDR uniquely integrates network threat detection, network performance management (NPM), intrusion detection (IDS), and packet forensics into a single console with 100GB+ sensors, real-time decryption, and cloud-scale machine learning - delivering complete network visibility, unmatched context for data-driven security decisions, and improved SOC productivity.

ExtraHop is recognized by leading organizations for both its innovation in the market and its commitment to building a world-class team. We are the only NDR vendor recognized as a leader by all major analyst firms including the 2024 Gartner&reg; Magic Quadrant for Network Detection and Response&trade;, the 2023 Forrester&reg; Wave for Network Analysis and Visibility, the 2024 IDC&reg; Marketscape for NDR, and the 2024 Gigamon&reg; Radar Report for Network Detection and Response. 


OTHER BENEFITS:

Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits:
<ul>
<li>Health, Dental, and Vision Benefits</li>
<li>Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time</li>
<li>Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan</li>
<li>FSA and Dependent Care Accounts + EAP, where applicable</li>
<li>Educational Reimbursement</li>
<li>401k with Employer Match or Pension where applicable</li>
<li>Pet Insurance (US Only)</li>
<li>Parental Leave (US Only)</li>
<li>Hybrid and Remote Work Model</li></ul> 


Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today! 

To learn more, visit www.extrahop.com or follow us on LinkedIn. 


Create a Job Alert

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Software Engineer II | Framework

Explore 275+ Software engineer machine learning all levels in Seattle United States this November. Find roles across top companies and apply now to boost your career.