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software development engineer

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distributed systems engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the AWS cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 
 
Key job responsibilities 
We are looking for an experienced Software Development Engineer with production quality software services experience. You are comfortable working in a fast-paced environment where delivery of new services and features is very rapid. The ideal candidate will demonstrate established software engineering expertise, having successfully developed and launched extensive distributed systems in collaboration with a team. You are adaptable, capable of excelling in a dynamic and entrepreneurial setting. You will be responsible for delivering high quality, extensible design and code. You are expected to mentor and guide junior engineers. You are comfortable managing competing priorities and are able to bring order to ambiguous scenarios. You identify and implement optimizations for performance, scalability, and efficiency. Maturity, impeccable judgment, and the ability to influence and lead are essential to success in this role. You are data-driven and analytical. You have the ability to communicate clearly and effectively, both in writing and verbally, across organizations. 
 
About the team 
You will be part of a team working on AWS Intent Driven Networking. A key part of this project is building a management plane which the network fabric teams will use to scale and manage the networks. You have an opportunity to shape how one of the largest networks on the planet is going to be operated for at least the next decade.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of Object Oriented Design experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
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></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
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. 
USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer , AWS Intent Driven Networking (AIDN)

Qumulo

<div>
 
 About The Company
 
 
 
 Qumulo is the leading file data platform for multi cloud environments, providing outstanding freedom, control, and real-time visibility for file data at substantial scale. Fortune 500 companies, major film studios, and the largest research facilities in the world trust Qumulo to help them innovate with their most important digital files. The Qumulo experience makes file data management simple with continuous new features, a single solution for all workloads, and access to customer success specialists on your schedule.
 
 
 At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. As part of our culture we believe diversity drives innovation.
 
 
 
 About The Position
 
 
 
 At Qumulo, we've built a truly outstanding modern file data platform from scratch. Our software runs natively in the public cloud or in private data centers, allowing our customers to truly Scale Anywhere. It&rsquo;s incredibly exciting work and there is a lot more to do to make our full vision reality. As a new Engineer at Qumulo you will join a feature team and immediately begin writing, testing and deploying production code. Your work will take an innovative product to the next level, see that effort fuel customer innovation, and grow the Qumulo business.
 
 
 We hire committed, adaptive engineers with a diverse set of backgrounds and who we can depend on to solve problems head on. Our engineers work collaboratively both within the product development organization and across the company to ship a continuously integrated and deployed code base. Engineers at Qumulo work alongside people who have an appetite for collaborative coding environments. It's a community where individual engineers have a voice. Our teams are given the charter to design and build the features that deliver clear value to our customers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with team members on design, code reviews, and pair programming
 </li>
 <li>
 Collaborate with team members and area leads on architecture and design of new/updated features
 </li>
 <li>
 Contribute to feature development and testing using C, Rust and Python
 </li>
 <li>
 Define and implement customer-facing features and internal improvements
 </li>
 <li>
 Help debug and fix test failures and product or service issues
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Ability to write well-factored and well-tested code
 </li>
 <li>
 Strong grasp of algorithms and data structures, with some experience in distributed systems, database concepts, concurrent programming, or operating systems concepts
 </li>
 <li>
 At least one class, internship or personal project using C, C++, Rust, Java, or Go
 </li>
 <li>
 Willingness to work collaboratively with a team to solve complex problems
 </li>
 <li>
 Finishing a BS or BA in Computer Science or Computer Engineering or equivalent experience
 
 
 </li>
 </ul>
 The annual pay range for the role is USD $127,000 - $191,000.
 
 
 Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.
 
 
 Please note that employment at Qumulo is contingent upon completion of a satisfactory background check.
 
 
 For more information on our Applicant and Employee Privacy Notice please click on the link below:
 
 
 
 Privacy Notice
 
</div>

Software Development Engineer: Entry-Level

Slack

<div>
 
 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
 
 
 
 Job Category
 
 
 Software Engineering
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
 
 
 Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
 
 
 
 About The Team
 
 
 
 Slack is looking for experienced engineers to join its Core Infrastructure organization to help design, develop, and maintain the information retrieval infrastructure that supports Slack Search and many other product experiences. This stack is at the heart of what makes Slack such a compelling store of company knowledge, allowing our customers to find and discover messages channels, people, files, and other business units within their workspaces. It is also of central importance to our efforts around generative AI, helping build products that are advised by the full wealth of knowledge in your company. We are seeking candidates who can continue to evolve our systems to be reliable, performant, scalable, and secure while helping push us to the cutting edge of search technology, incorporating the latest and greatest developments in the realm of information retrieval.
 
 
 We build our infrastructure using reliable tools that our team knows and trusts, including Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Expertise in these areas is a huge plus, but experience building and maintaining robust distributed systems for search, using other common languages and cloud technologies is a fine substitute. We&rsquo;re a collaborative team who genuinely enjoys working together. You&rsquo;ll be working closely with other infrastructure engineers and machine learning engineers to develop our infrastructure, and collaborating closely with product engineers and managers to make our infrastructure support the needs of our users.
 
 
 Slack has a positive, diverse, and supportive culture&mdash;we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative.
 
 
 
 What you will be doing:
 
 
 
 <ul>
 <li>
 Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack's search infrastructure
 </li>
 <li>
 Work with product engineering to conceptualize and build new features for our large (and growing!) user base.
 </li>
 <li>
 Collaborate with team members to ensure high availability and reliability of a distributed search system.
 </li>
 <li>
 You&rsquo;ll produce high-quality results by contributing heavily to team projects that have a significant impact on the business.
 </li>
 <li>
 You&rsquo;ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
 </li>
 <li>
 Deploy, configure, test, troubleshoot, maintain, upgrade Solr clusters and environments.
 </li>
 <li>
 Plan resources and continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and search performance.
 </li>
 <li>
 You'll assist our skilled support team and operations team in triaging and resolving production issues.
 </li>
 <li>
 You'll collaborate with other engineers and deeply review code.
 </li>
 <li>
 You&rsquo;ll improve engineering standards, tooling, and processes.
 
 
 </li>
 </ul>
 
 You may be a fit for this role if you:
 
 
 
 <ul>
 <li>
 3+ years of experience
 </li>
 <li>
 Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
 </li>
 <li>
 Have worked with Solr, ElasticSearch, Lucene, or other search technology.
 </li>
 <li>
 Have had exposure to infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
 </li>
 <li>
 You hare proficient with functional or imperative programming languages &mdash; e.g., PHP, Python, Ruby, Go, C, or Java.
 </li>
 <li>
 Track record of developing high-availability, performant, and scalable systems accessing large volumes of data over multiple clusters across different geographical regions
 </li>
 <li>
 Have experience planning, implementing, and deploying software migrations and upgrades in a production environment
 </li>
 <li>
 You can contribute to technical architecture discussions and help drive technical decisions within your team.
 </li>
 <li>
 You write understandable, testable code with an eye towards maintainability.
 </li>
 <li>
 You are a strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you.
 </li>
 <li>
 You possess computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience required.
 
 
 </li>
 </ul>
 
 Bonus Points:
 
 
 
 <ul>
 <li>
 You&rsquo;ve built large-scale data pipelines professionally and can craft clean and beautiful code in Java, Scala, and/or SQL, and you possess exposure to Hadoop/Spark as well.
 </li>
 <li>
 Experience around text mining and parsing
 
 
 </li>
 </ul>
 Unleash Your Potential
 
 
 When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
 
 
 Accommodations
 
 
 If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
 
 
 Posting Statement
 
 
 Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
 
 
 In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $223,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Software Engineer, Search Data Infrastructure -Slack

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h2 class="jobSectionHeader">About the Team
</h2>Slack is looking for experienced engineers to join its Core Infrastructure organization to help design, develop, and maintain the information retrieval infrastructure that supports Slack Search and many other product experiences. This stack is at the heart of what makes Slack such a compelling store of company knowledge, allowing our customers to find and discover messages channels, people, files, and other business units within their workspaces. It is also of central importance to our efforts around generative AI, helping build products that are advised by the full wealth of knowledge in your company. We are seeking candidates who can continue to evolve our systems to be reliable, performant, scalable, and secure while helping push us to the cutting edge of search technology, incorporating the latest and greatest developments in the realm of information retrieval.
We build our infrastructure using reliable tools that our team knows and trusts, including Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Expertise in these areas is a huge plus, but experience building and maintaining robust distributed systems for search, using other common languages and cloud technologies is a fine substitute. We&rsquo;re a collaborative team who genuinely enjoys working together. You&rsquo;ll be working closely with other infrastructure engineers and machine learning engineers to develop our infrastructure, and collaborating closely with product engineers and managers to make our infrastructure support the needs of our users.
 
Slack has a positive, diverse, and supportive culture&mdash;we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. 
 
<h2 class="jobSectionHeader">What you will be doing:
</h2><ul><li>Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack's search infrastructure
</li><li>Work with product engineering to conceptualize and build new features for our large (and growing!) user base.
</li><li>Collaborate with team members to ensure high availability and reliability of a distributed search system.
</li><li>You&rsquo;ll produce high-quality results by contributing heavily to team projects that have a significant impact on the business.
</li><li>You&rsquo;ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
</li><li>Deploy, configure, test, troubleshoot, maintain, upgrade Solr clusters and environments.
</li><li>Plan resources and continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and search performance.
</li><li>You'll assist our skilled support team and operations team in triaging and resolving production issues.
</li><li>You'll collaborate with other engineers and deeply review code.
</li><li>You&rsquo;ll improve engineering standards, tooling, and processes.
</li></ul>You may be a fit for this role if you:
<ul><li>3+ years of experience
</li><li>Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
</li><li>Have worked with Solr, ElasticSearch, Lucene, or other search technology.
</li><li>Have had exposure to infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
</li><li>You hare proficient with functional or imperative programming languages &mdash; e.g., PHP, Python, Ruby, Go, C, or Java.
</li><li>Track record of developing high-availability, performant, and scalable systems accessing large volumes of data over multiple clusters across different geographical regions
</li><li>Have experience planning, implementing, and deploying software migrations and upgrades in a production environment
</li><li>You can contribute to technical architecture discussions and help drive technical decisions within your team.
</li><li>You write understandable, testable code with an eye towards maintainability.
</li><li>You are a strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you.
</li><li>You possess computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
</li><li>Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience required.
</li></ul><h2 class="jobSectionHeader">Bonus Points:
</h2><ul><li>You&rsquo;ve built large-scale data pipelines professionally and can craft clean and beautiful code in Java, Scala, and/or SQL, and you possess exposure to Hadoop/Spark as well.
</li><li>Experience around text mining and parsing
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $223,900 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 
 
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose. 
 
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Summary
GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.
Position Description
Our Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico&rsquo;s core data use-cases across each of the company&rsquo;s business verticals.
Position Responsibilities
As a Staff Engineer, you will:<ul><li>
Scope, design, and build scalable, resilient Data Lakehouse components</li><li>
Lead architecture sessions and reviews with peers and leadership</li><li>
Accountable for the quality, usability, and performance of the solutions</li><li>
Spearhead new software evaluations and innovate with new tooling</li><li>
Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning</li><li>
Collaborate with customers, team members, and other engineering teams to solve our toughest problems</li><li>
Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community</li><li>
Consistently share best practices and improve processes within and across teams</li><li>
Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community</li></ul>
Qualifications<ul><li>
Exemplary ability to design and develop, perform experiments</li><li>
Experience developing new and enhancing existing open-source based Data Lakehouse platform components</li><li>
Experience cultivating relationships with and contributing to open-source software projects</li><li>
Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent)</li><li>
Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent)</li><li>
Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)</li><li>
Expertise in developing distributed systems that are scalable, resilient, and highly available</li><li>
Expertise in container technology like Docker and Kubernetes platform development</li><li>
Experience with continuous delivery and infrastructure as code</li><li>
In-depth knowledge of DevOps concepts and cloud architecture</li><li>
Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent</li><li>
Ability to excel in a fast-paced, startup-like environment</li></ul>
Experience<ul><li>
6+ years of professional experience in data software development, programming languages and developing with big data technologies</li><li>
4+ years of experience on open-source development</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Mathematics or equivalent education or work experience</li></ul> 
Annual Salary
$130,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Staff Engineer – Data Lakehouse Platform

Apple

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn&rsquo;t have imagined, and now, can&rsquo;t imagine living without. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. 
 
Description 
 
APPLE INC has the following available in Seattle, Washington. Develop software to run innovative machine learning systems in the cloud. Implement performant ML based algorithms in a distributed system and keep up to date with best practices and new technologies. Work closely with ML engineers to ensure their algorithms can be deployed efficiently in the cloud. Build software to support batch inferences for new large language models. Analyze and improve the job success rates for batch inference jobs. Optimize efficiency of the pipeline to improve throughput for large scale inference solutions. Build a scalable and efficient system to improve utilization of high-performance GPU fleet. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 - $210,100/yr and your base pay will depend on your skills, qualifications, experience, and location. 
 
PAY &amp; BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Preferred Qualifications 
 
N/A 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree or foreign equivalent in Software Engineering, Computer Science, or related field and 2 years of experience in the job offered or related occupation. 
 
2 years of experience with each of the following skills is required: 
 
Applying Golang to design and develop large language model batch inference service codebase. 
 
Utilizing docker containerization and Kubernetes orchestration including AWS EKS or GCP to run batch inference service on the cloud infrastructure. 
 
Ensuring performance, scalability, security and maintainability when designing robust, large scale batch inference service. 
 
Utilizing ML Framework including PyTorch or TensorFlow to develop and optimize large language models. 
 
Applying foundation model architectures including Transformers, Encoder/Decoder to train, and fine-tune large language models. 
 
Utilizing MapReduce to develop efficient large scale data pipelines. 
 
Applying MLOps best practice to automate model deployment, monitoring, and continuous integration / continuous delivery. 
 
Utilizing hardware accelerators including GPUs or TPUs to maximize computational efficiency and reduce inference time. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Machine Learning Engineer

<div>
 
 Summary
 
 
 
 Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn&rsquo;t have imagined, and now, can&rsquo;t imagine living without. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.
 
 
 
 Description
 
 
 
 APPLE INC has the following available in Seattle, Washington. Develop software to run innovative machine learning systems in the cloud. Implement performant ML based algorithms in a distributed system and keep up to date with best practices and new technologies. Work closely with ML engineers to ensure their algorithms can be deployed efficiently in the cloud. Build software to support batch inferences for new large language models. Analyze and improve the job success rates for batch inference jobs. Optimize efficiency of the pipeline to improve throughput for large scale inference solutions. Build a scalable and efficient system to improve utilization of high-performance GPU fleet. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 - $210,100/yr and your base pay will depend on your skills, qualifications, experience, and location.
 
 
 PAY &amp; BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html.
 
 
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or foreign equivalent in Software Engineering, Computer Science, or related field and 2 years of experience in the job offered or related occupation.
 </li>
 <li>
 2 years of experience with each of the following skills is required:
 </li>
 <li>
 Applying Golang to design and develop large language model batch inference service codebase.
 </li>
 <li>
 Utilizing docker containerization and Kubernetes orchestration including AWS EKS or GCP to run batch inference service on the cloud infrastructure.
 </li>
 <li>
 Ensuring performance, scalability, security and maintainability when designing robust, large scale batch inference service.
 </li>
 <li>
 Utilizing ML Framework including PyTorch or TensorFlow to develop and optimize large language models.
 </li>
 <li>
 Applying foundation model architectures including Transformers, Encoder/Decoder to train, and fine-tune large language models.
 </li>
 <li>
 Utilizing MapReduce to develop efficient large scale data pipelines.
 </li>
 <li>
 Applying MLOps best practice to automate model deployment, monitoring, and continuous integration / continuous delivery.
 </li>
 <li>
 Utilizing hardware accelerators including GPUs or TPUs to maximize computational efficiency and reduce inference time.
 
 
 </li>
 </ul>
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

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