{"id":4340138,"url":"https://alion.io/job/amazon-software-dev-engineer-10","title":"Software Dev Engineer","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":4549,"ghost_share":0.001,"stale_share":0.814,"repost_share":0.004,"time_to_fill_p50_days":33,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":143700,"max":194400,"currency":"USD","period":"year","gross":null,"usd_annual":194400},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T17:54:11Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"Join Amazon’s Deployment Safety team and build the intelligent systems that keep our most critical cloud infrastructure running flawlessly. As a Software Development Engineer II, you’ll use AI and automation to design, test, and deploy updates for EC2 Frontier with precision and scale. You’ll own every stage of the development lifecycle-from crafting AI-enhanced deployment pipelines that predict risks to creating automated testing tools that catch defects before they reach production. By integrating machine learning models to analyze deployment data and real-time monitoring to flag anomalies, you’ll help millions of Amazon customers rely on infrastructure that’s safer, faster, and more resilient.\nThis role is for collaborative engineers who thrive on solving ambiguous problems, mentoring peers, and turning cutting-edge AI concepts into practical, high-impact solutions. If you’re passionate about blending cloud-native engineering with intelligent automation, we want to hear from you.\n#AI #MachineLearning #DeploymentSafety #Cloud #Frontier\nKey job responsibilities\nCollaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.\nDesign and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.\nCreate solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.\nBuild distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.\nDesign and code the right solutions starting with broadly defined problems.\nWork in an agile environment to deliver high-quality software. A day in the life Your morning begins with a collaborative code review-leveraging AI-assisted tools to provide feedback that elevates the team’s code quality and readiness for deployment. After a focused standup where you align on AI-driven metrics and automation priorities, you dive into building a feature you scoped last week: writing clean, scalable code to integrate a machine learning model that predicts deployment risks. You pair with a teammate to tackle a tricky integration point, using real-time debugging tools to ensure seamless automation. Post-lunch, you join a design review where you help streamline an architecture proposal-applying AI-first principles to simplify complexity and boost efficiency. Then, you investigate an operational metric that’s flagged by your anomaly detection system, tracing it to a root cause using ML-powered correlation engines. Within hours, you’ve drafted a fix that not only resolves the issue but also enhances your predictive safety models. Your day balances deep, heads-down coding on cloud-native features with cross-functional problem-solving-all while driving operational excellence and mentoring peers. Every task you tackle reinforces our mission: building smarter, safer systems that millions of Amazon customers rely on daily. About the team Our team builds software that millions of Amazon customers and internal partners depend on daily. We combine operational excellence with AI-driven insights and automation-first practices to deliver reliable, high-quality systems. Every engineer’s voice matters here-we thrive on clear thinking, open collaboration, and a shared commitment to learning from both successes and challenges. As we scale EC2 Frontier to serve even more users, we’re focused on elevating the customer experience and empowering our team with cutting-edge tools, from AI-enhanced deployment pipelines to real-time monitoring frameworks.\nBasic qualifications\n- 3+ years of non-internship professional software development experience\n- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n- 1+ years of software development engineer or related occupational experience\n- 1+ 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\n- 1+ years of Object Oriented Design experience\n- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field\n- Experience programming with at least one software programming language\nPreferred qualifications\n- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n- Bachelor's degree in computer science or equivalent\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur 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’re applying in isn’t listed, please contact your Recruiting Partner.\nThe 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. 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