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Added 1 hour ago
L55 - Lead DevOps Engineer II
Deloitte
Nashville, TN · Hermitage, TN
…languages, and frameworks-operating as an infrastructure-focused engineer, not a tool operator. Create technical specifications, runbooks, and shared playbooks; lead blameless postmortems…
Added 4 hours ago
AU
Electrical Engineer III
Adecco US, Inc.
Florence, SC
- $50.62 to $56.25 USD / hour
Simulate and test machine, structure, and system operations.
Added 5 hours ago
Technical Product Owner (Layer 6) - AI & Machine Learning Solutions
TD Bank, N.A.
NY
Day-to-day as a Technical Product Owner (Machine Learning Engineer II):
Added 7 hours ago
Senior Robotics Engineer, Production
Senra Systems
Cypress, CA
We're looking for a Senior Robotics Engineer to own the technical implementation of robotics on our production lines, as part of our Automation Program. High-mix assembly is one of the…
Added 8 hours ago
Senior AM Equipment Engineer
Divergent
Torrance, CA
As an Additive Manufacturing Equipment Engineer II, you will take technical responsibility for assigned production equipment after engineering qualification. You will work at the…
Added 10 hours ago
Security Engineer II, Stores Security
Amazon.com Services LLC
Seattle, WA
In Amazon Stores, we ship some of the widest arrays of technology found at any company. From Amazon.com to world class machine learning pipelines, from digital healthcare to no-checkout…
Added 10 hours ago
AI Engineer I, II, III or Senior
Tri-State Generation and Transmission Association, Inc.
Westminster, CO
The Senior AI Engineer leads AI engineering at Tri-State, guiding multiple engineering teams and projects from business opportunity through production delivery. A domain expert in…
Added 11 hours ago
E
Linux Systems Administrator
Everwatch
Aurora, CO
- $86.54 to $110.58 USD / hour
As a Linux engineer on our team, you have the chance to shape Air Force Intelligence Operations capabilities by leading creating Linux-based solutions for global, multi-infrastructure…
Added 12 hours ago
AI/ML & MLOps Engineer (SME)
DecisionPoint | Cortek
Remote, United States
The AI/ML & MLOps Engineer will work closely with mission owners, data scientists, data engineers, cloud architects, software developers, cybersecurity personnel, testers, and operations…
Added 12 hours ago
AI/ML & MLOps Engineer (Senior)
DecisionPoint | Cortek
Remote, United States
The Senior AI/ML & MLOps Engineer will work with data scientists, data engineers, cloud architects, software developers, cybersecurity personnel, testers, operations teams, and Government…
Added 14 hours ago
Sr. Process Controls Engineer, Solar Cell Factory (Starlink)
SpaceX
Bastrop, TX
…constellations, launch vehicles, and beyond. As a Sr. Process Controls Engineer, you will design, build, and optimize controls and automation systems for the delivery of critical gases and…
Added 14 hours ago
Business Intel Engineer II, Pricing Insights
Amazon.com Services LLC
Seattle, WA
…Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price…
Added 15 hours ago
IT System Integration Engineer (MuleSoft)
UCSF
San Francisco, CA
The MuleSoft System Integration Engineer leads the design, development, implementation, maintenance, and support of real-time integration and interfaces between applications at UCSF Campus,…
Added 18 hours ago
Logistics Engineer (Engineer Logistics 3)
HII
Hampton, VA
Know & Grow Your People - Commit to learning and supporting team success.
Added 1 day ago
Imaging Systems Engineer II
Collectors Universe, Inc.
Santa Ana, CA
We’re looking for a self-motivated and experienced Imaging Systems Engineer II to join our dynamic community of collectors. This position will be responsible for maintaining and developing…
Added 1 day ago
Software Development Engineer II, SageMaker HyperPod Data Plane
Amazon Development Center U.S., Inc.
Santa Clara, CA
As an SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In…
Added 1 day ago
SDE II - Machine Learning, Stores Economics and Science (SEAS)
Amazon.com Services LLC
Seattle, WA
As a Software Engineer, you will collaborate with the top scholars, economists, machine learning scientists and other SDEs across the company to develop, test, and deploy services that…
Added 1 day ago
SDE II, ML Infra Services, Annapurna Labs
Amazon.com Services LLC
Seattle, WA
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a…
Added 1 day ago
A
Research Scientist II - AMZ9898222
Amazon
New York, NY
- $158,440 to $212,800 USD / year
…acquired knowledge and business judgment to build scalable machine learning systems, optimization models and operational tools to improve the bottom line. Build quantitative mathematical…
Added 2 days ago
T
AI/ML Engineer II
TEKsystems
Baltimore, MD
- $107,500 to $161,300 USD / year
…growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our…
Added 2 days ago
Software Development Engineer II, Amazon Manufacturing Services (AMS)
Amazon.com Services LLC
Bellevue, WA
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Added 2 days ago
Software Dev Engineer II, SIFT
Amazon Web Services, Inc.
Boston, MA
Own the reliability and operations of what you build, dig into production issues when they happen, and raise the operational bar for the whole team.
Added 2 days ago
Engineer II, Network Services
AARP
UNAVAILABLE
…security functions. Services range from infrastructure design and operations, system and software lifecycle implementations, enabling the mobile workforce and protecting AARP network,…
Added 2 days ago
SDE II, BOS27 Innovation Lab
Amazon.com Services LLC
Westborough, MA
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Added 2 days ago
CL
AIOps Engineer SME NM
Career Listings
Albuquerque, NM
- $190,000 to $218,000 USD / year
SarelaTech is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM)…

Amazon Web Services, Inc.

Software Dev Engineer II, SIFT

Boston, MA, United States

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Job details

Posting language: English
Posted: Oct 26, 2026

Original job description

Every day, the people closest to our customers and partners learn things that matter - in meetings, in deal rooms, in the field. For years most of that went nowhere useful: stuck in an inbox, a memory, a note no one opened again. We changed that. We built a product that captures those raw field inputs, automatically finds the patterns hiding across thousands of them, and uses AI to turn what used to be hours of manual report-writing into minutes - and it's now part of how a large, fast-growing community does its job every day.

That's the part that makes this interesting: it already works, at real scale, for a lot of people - and that raises the bar rather than lowering it. The hard problems now are the ones you only get to when something is genuinely in production and genuinely depended on. How do you keep quality high as usage climbs and the data gets messier? How do you make AI-generated output people trust instead of double-check? How do you extend a system people already rely on without breaking what they count on? This is applied AI in the critical path of real work - where "mostly right" isn't good enough and someone notices the moment it's off.

That's where you come in.

Here's the kind of thing you'd own and solve:

Scale what's already working.

Take services that are live and heavily used and make them faster, sturdier, and ready for the next order of magnitude of users and data.

Grow what the product can connect to.

Expand the set of tools and integrations the system exposes through the Model Context Protocol (MCP), so the product can plug into more data sources and let AI assistants do more on a user's behalf - safely and reliably.

Raise the quality bar on AI output.

Improve how the product turns messy, free-form input into trustworthy, structured, searchable records - with smarter summarization, tagging, and quality gating so strong output ships and weak output doesn't.

Extend the product thoughtfully.

Add new capabilities and data sources to a system people already depend on, without disrupting the workflows they rely on every day.

Make the trends sharper.

Improve how the product spots patterns across a huge body of individual stories, so people see what's emerging without digging for it.

Let people talk to their data.

Build and refine the natural-language experiences that let someone ask for what they need - and get an answer built from real data, and only the data they're allowed to see.

Keep it healthy.

Own the reliability and operations of what you build, dig into production issues when they happen, and raise the operational bar for the whole team.

What sets this apart: you're joining something that already succeeded - and the interesting work is everything that comes next. You get the best of both worlds: the real users, real feedback, and real impact of a product in heavy use, plus a wide-open set of hard problems around scaling it, deepening the AI, and taking it places it hasn't gone yet. You'll make architectural calls that matter, see your impact quickly because the people using it will tell you exactly what's working, and be expected to lift the engineers around you - mentoring, reviewing designs, and being someone who makes the whole team sharper, not just your own code.

We're looking for someone who's built and operated real backend systems at scale, is comfortable improving a live product without breaking it, and is genuinely excited about applying AI to a hard, valuable problem rather than chasing the buzz. Hands-on experience with generative AI and large language models is a strong prerequisite - and familiarity with Amazon Bedrock in particular will set you up to make an impact fast. If you like owning things end to end, caring about the person on the other side of the screen, and raising the bar on something people already love - you'll feel at home here.

Key job responsibilities You'll own features end to end - from the user interface down to the backend services behind them - designing, building, and running them in production, where real people rely on them every day.

Own whole features from the screen a user sees to the services and data underneath, making the design calls across the full stack and shipping each one to production.
Build and scale the services that turn raw, free-form field input into structured, searchable, trustworthy records - keeping them fast and reliable as usage grows.
Expand the tools and integrations the product exposes through the Model Context Protocol (MCP), connecting it to more data sources and letting AI assistants safely do more on a user's behalf.
Wire large language models into the product and raise the quality bar on what they produce - sharper summarization, tagging, and quality gating so strong output ships and weak output doesn't.
Build the natural-language experiences that let people ask for what they need and get answers grounded in real data - and only the data they're allowed to see.
Write the design docs, run code reviews, debug the gnarly production issues, and mentor the engineers around you.

A day in the life You're working where solid engineering meets applied AI - shipping real features people use the moment they go out.

You might push a feature you own from the screen a user sees down to the service behind it: write the code, get it reviewed, shepherd it through testing into production. A good chunk of your time goes into making the AI better - tuning how it drafts and summarizes, then checking the output against real examples to prove it improved. You'll join a short daily standup and review teammates' code.

Some days stretch further - debugging production issues, or prototyping an idea.

About the team We build AI that changes how the sales field works. Our users are the people talking to AWS customers and partners every day - and our job is to turn the stories they gather into something they can use right away. We capture their input, surface the patterns across it, and draft the reports that used to eat hours of someone's week. You'll work shoulder to shoulder with engineers, product, and the field teams who depend on what we ship, to help shape where the product goes next. We move fast, listen to our users, and care about getting it right.

About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Basic qualifications

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Knowledge of Python and/or C++ programming Preferred qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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’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 https://amazon.jobs/en/benefits.

USA, MA, Boston - 143,700.00 - 194,400.00 USD annually

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More about this job

Skills

Coaching
Debugging
Sales
Software development
C#
C++
Oracle Java
Perl
Computer science
Python
Machine learning
Recruitment
Mental health

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