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Senior Java Systems Engineer - Exchange Accelerator / Matching Engine - NYC - Fintech
Adaptive Financial Consulting Ltd New York, New York
11/10/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a technology provider firm that partners with capital, commodity, and digital market participants to build custom front-office technology, messaging systems, and trading infrastructure. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach, with offices in London, New York, Barcelona, Montreal, and Manila, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions, and we value technical pragmatism, collaboration, and clear communication. We're looking for a Senior Java / Systems Engineer with significant experience in Platform Exchange Systems to design, deliver, and optimize production-ready, high-performance, low-latency technology using Aeron. YOU ARE: A hands-on engineer who enjoys designing and optimising low-latency Java services and protocols across the full delivery lifecycle. Someone with genuine experience building Matching Engines and Platform Exchange Systems. Driven by evidence-based engineering, automated testing, benchmarking, and profiling rather than guesswork. A clear, confident communicator who can work across domain boundaries in a collaborative Agile environment, rather than being siloed into a single technology stack. YOU HAVE: Strong server-side, low-latency Java expertise (concurrency, memory management, I/O, and performance profiling). Solid exchange, risk, or matching-engine experience. Hands-on experience building automated testing strategies, running performance benchmarks, and diagnosing production issues. Excellent technical communication and collaborative problem-solving skills. Experience with order entry and market data protocols (e.g. FIX, ITCH). Familiarity with low-latency frameworks such as Aeron, Chronicle, or LBM. An understanding of replicated state machines, event sourcing, or deterministic systems. Exposure to cloud environments (AWS/GCP), containers, Kubernetes, or observability tooling. YOU WILL: Design, build, and optimise low-latency Java services and protocols for an Exchange Accelerator product across the delivery lifecycle. Define order, session, instrument, and account models alongside exchange integration boundaries. Develop automated testing strategies and perform evidence-based performance benchmarking and profiling. Collaborate directly with client teams, SREs, QA, and leadership to ensure exchange readiness and durable production fixes. Engage with client engineering and business stakeholders, communicating technical trade-offs clearly. Support the product in production across multiple client deployments. (And after six months) Independently own key technical workstreams from concept to production readiness. Deliver maintainable, observable, and well-tested systems aligned with core architecture. Establish trusted relationships with clients through clear communication and steady delivery. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it). To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): For permanents: We create benefits with YOU in mind. We create benefits with YOU in mind: Flexible hybrid working model Medical from the 1st of the following month of your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Mental Health First Aiders THE PROCESS Long interview processes are stressful and boring and that is not us! We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A Zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive. E-verify: Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$260,000 USD
Staff Software Engineer
JLL San Francisco, California
11/09/2026
Full time
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About the Role As a Staff Software Engineer on the MarTech Engineering Team, you'll be a forward deployed engineer embedded in the marketing organization, building production AI agents that solve real campaign, content, social, ABM, and performance problems. You'll work shoulder-to-shoulder with marketing domain experts (SMEs) - sitting in their workflows, learning their systems, and turning their expertise into agents that go live and stay live. Your remit spans the full lifecycle: rapid prototyping with SMEs to validate ideas, building the integrations and skills needed to ship a working pilot, and hardening pilots into production-grade agents that operate reliably at scale. When something is missing - a CRM that doesn't expose what you need, a data source not yet in the warehouse, a guardrail that doesn't exist - you'll either build a pragmatic workaround to unblock the pilot or translate the gap into a clear, prioritized requirement for our partner platform team - the engineers who own the underlying marketing systems, data plumbing, and AI-native tooling - to address. You sit at the seam between domain expertise and platform infrastructure, and your job is to make sure neither side waits on the other. The role demands deep technical judgment: when to build vs. wait, when to abstract a one-off solution into a reusable skill, and how to ensure agent outputs translate into safe, brand-aligned, and factually correct actions across a complex marketing stack. Success is measured by the volume and quality of marketing work that agents are actually doing in production - not by demos, not by POCs, but by agents that marketers trust to do the job. This is a fantastic opportunity to build the agentic layer of one of the world's largest commercial real estate platforms from the ground up, and to see your work change how marketing operates at global scale. Who You Are We're optimizing for three things ahead of tool-specific experience: deep technical fundamentals, a pragmatic problem-solving disposition, and exceptional cross-audience communication. The agent tooling landscape changes every few months - what we can't easily teach is how someone thinks, ships, and explains under uncertainty. If you have those three, we'll happily back you while you skill up on whichever runtime, framework, or model provider this quarter favors. You have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience You are proficient in English, both written and verbal, sufficient for success in a remote and largely asynchronous work environment You have 5+ years of software engineering experience working in production systems, including significant time integrating against enterprise APIs (CRMs, CMSes, DAMs, ad platforms, marketing automation tools, analytics) You have hands-on experience with modern LLM APIs across providers - including prompt engineering, tool use / function calling, structured outputs, and context engineering - and you've worked with enough of them to know that the underlying patterns transfer even as the specific APIs evolve You have experience designing agent systems: multi-step reasoning, tool orchestration, memory, error recovery, and human-in-the-loop escalation paths You've worked through the hard parts of agent engineering firsthand - hallucination grounding, tool reliability and silent failures, evals that actually predict real-world behavior (and the gap when they don't), cost and latency tradeoffs, prompt drift, and the difference between "works in a demo" and "still works on day 30." You can talk concretely about what you've tried, what's broken on you, and what you've learned. We care more about depth of engagement with these problems than years logged You have experience building RAG systems - embeddings, vector stores, retrieval optimization, and grounding - and a strong intuition for when retrieval is the right answer vs. when a tool call, fine-tune, or schema change is the better lever You've deployed LLM-powered services or agents to production cloud environments and understand the operational reality - auth, networking, secrets, observability, rollback, cost monitoring - beyond the demo-day setup. The specific runtime matters less to us than the fact that you've operated something live and learned from it You're energized by embedding directly with non-technical domain experts, can translate vague problem statements into shippable scope, and have the patience to learn an unfamiliar domain (marketing, in this case) deeply enough to anticipate where agents will fail You have a pragmatic bias for shipping - you can tell when a brittle workaround is the right call to unblock a pilot and when something deserves to be built right the first time You translate fluently between technical levels - from explaining agent failure modes to a non-technical marketing SME, to briefing leadership on architectural tradeoffs without dumbing them down, to going deep on protocol details with platform engineers, often within the same day. This skill weighs as heavily for us as your technical depth You have strong analytical and interpersonal skills, with a proven ability to thrive and collaborate in dynamic, product-focused, distributed teams You embrace a proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results You're confident taking ownership of projects from start to finish and enjoy turning nebulous ideas into reality You make your coworkers feel included in every interaction What You'll Do Embed with marketing SMEs across campaigns, property marketing, content production, social, ABM, and performance intelligence to design and ship agents that do real work in their day-to-day Build, deploy, and operate production marketing AI agents that reason over regional context, brand guidelines, and intent data - and invoke tools to draft content, configure campaigns, monitor performance, and recommend optimizations Design and grow the Marketing Domain Skills Library - composable LLM workflows (drafting, scoring, classification, brand-voice tuning) extracted from live agent work as reusable primitives that multiple agents can call Build integrations against marketing systems (CMS, DAM, CRM, marketing automation, ad platforms, analytics) - directly when needed to unblock a pilot, and through Marketing MCP servers built by that platform team once those exist Translate integration and capability gaps you hit during pilots into clear, prioritized requirements for the platform team, so the platform layer evolves to meet real agent needs rather than speculative ones Own reliability, observability, evaluation, and cost efficiency of LLM-powered workflows in production - including brand-voice checks, factual grounding against property and client data, regression suites, and offline benchmarks wired into CI/CD Design multi-agent orchestration patterns: how the Campaigns agent coordinates with Social, ABM, Content, Property, and Performance Intelligence; where to compose vs. where to keep boundaries; how escalations and handoffs flow Set the bar for the agent pod: define the playbook for going from SME conversation to working pilot to deployed prod agent, and raise the technical quality of what the team ships Represent MarTech Engineering externally - to JLL leadership, to customers, and in the broader engineering community - as a credible voice on building agents that actually work in production Publish what you learn - internal write-ups, engineering blog posts, and conference talks. Forward deployed agent work surfaces novel problems and solutions every week, and externalizing them sharpens the team's thinking, raises our hiring bar, and contributes back to the broader agent engineering community Stay at the frontier of agent engineering and bring the best ideas back to the team, continuously raising the bar on quality, performance, and architecture at scale Drive innovation with a willingness to experiment and to boldly confront problems of immense complexity and scope This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Expected compensation for this position: 180 000.00 USD per year Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Chicago, IL, San Francisco, CA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: . click apply for full job details
Staff Machine Learning Engineer, ML Platform
Braze Austin, Texas
11/09/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions. You will own the platform underneath, and you will make deploying, operating, and scaling ML at Braze fast, safe, and efficient. As the Staff Engineer on the team, you will: Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership WHO YOU ARE 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray ML platform tooling such as MLflow or another model registry, feature stores, or ML observability Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes) Operating under compliance regimes such as SOX or HIPAA Customer engagement, personalization, or marketing technology domain experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. . click apply for full job details
Data Center Chief Engineer , DCEO
Amazon Data Services, Inc. Hampton, Georgia
11/09/2026
Full time
Job Description Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical infrastructure, ensuring seamless operations that support millions of customers worldwide. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. The CE serves as an expert technical resource reporting to a site's Data Center Facility Manager, interacting with onsite Engineering Operations Technicians (EOT) and any third-party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. Chief Engineer will be responsible for managing small-to-medium large impact projects from conception to completion. These projects can involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities. The Chief Engineer directs, trains and supports EOT's in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS's, PDU's, AHU's, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD's, and building automation systems. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the 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, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'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'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center. Operate independently with limited direct management Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed Perform root cause analysis of equipment failures Troubleshoot and report of facility and data sever-level events within internal SLA Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams Provide training and guidance to Engineering Operations Technicians Ensure all safety procedures are adhered to by vendor and Amazon staff Ensure all security procedures are adhered to by vendor and Amazon staff Utilize internal CMMS to manage building workflows Communicate complex technical information to a non-technical audience Using Microsoft Office suite (Outlook, Excel, PPT, Word) and other computer programs such as PDF, QUIP, and other dashboards and scheduling tooling. Instruct others on scheduling, ticketing, and providing mentorship in developing solutions. Physical Requirements: Walk job sites in uneven terrain Work at heights and from ladders Regularly lift and/or move up to 39 pounds; and participate in group lifts for 40 pounds or more Coordinate body movements when using tools or equipment Reach and stretch to position equipment and fixtures while maintaining balance Bend or twist the body into unusual positions while working Perform physical tasks all day without becoming overly tired Use hands to manipulate small wires and objects Push or pull heavy objects into position Work in a noisy environment Work at depths, such as under raised floors This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS- Experience reading and writing procedures, technical documents, and engineering drawings - 4+ years of data center experience including industrial electrical and mechanical systems - 4+ years of administrative experience including Microsoft Office products - Experience leading technical teams through daily operations, maintenance evolutions, and complex troubleshooting PREFERRED QUALIFICATIONS- Experience in construction or project management - Can work in an environment that involves walking, stooping, bending, and climbing to access equipment - Associates or higher in engineering field or mechanical or electrical trades - PMP, Lean Six Sigma, or equivalent certifications - Training-lead informal training 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 -we- hire/accommodations for more information. If the country/region you're applying in isn'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 & AD&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 USA, GA, Hampton - 111 100.00 USD annually