Key job responsibilities
Design and build services in AWS (Lambda, Step Functions, DynamoDB, EventBridge, CDK), modeled with Smithy and deployed through pipelines you own.
Write the design document for what you build. Every engineer on this team writes designs; it is a core part of the job, and seniority is not the gate.
Integrate with the systems of record in AWS Networking (IP address management, device registry, routing-policy store, configuration store and release, deployment, cabling plans), and find out what each contract actually does, against the real service, before committing to a date.
Prove correctness in shadow mode: compute what the automation would do for a site, diff it against what engineers did by hand, and get to zero discrepancies before any cutover.
Own what you ship in production: metrics, alarms, runbooks, and a turn in the team's on-call rotation, which covers the new services and the ones the team inherited.
Keep fabric knowledge out of the code. New fabrics, site types and rack types arrive as models the network engineers author; your job is to make the second one cost a configuration change.
Estimate honestly: size work by how novel it is and how many systems outside the team it touches, raise partner asks early, and say what is unknown.
A day in the life
You pick up a card to add a new reservation type to the allocation service. Before writing code you spend an hour against the real partner API in a test account and find that the contract does not do what its wiki page says, so you write that down, re-size the card, and raise the ask with the partner team that morning instead of three weeks in. The afternoon is a design review of a teammate's state machine change, where the question you keep asking is what happens on the retry, and your own code review landing with its shadow-mode diff attached. A few times a year you are the on-call engineer for a week, and the team expects that week to be your work.
About the team
BCSS, formed in May 2026. We bring software engineering practice to a problem space that has not had software developers, and we never cut corners: slow is smooth, and smooth is fast. Our stance in one line is a team tenet: we don't just make a change, we make a changer. Our software runs on AWS and operates entirely detached from production data traffic.
We work inside an operating model where network fabric teams run like software teams: they own their business logic, expose APIs, and measure outcomes. BCSS builds the software; every fabric team owns its automation roadmap and its adoption. Design reviews are open and argued; the best objection in the room wins, whoever raised it.
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 software development engineer or related occupational 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
Experience programming with at least one software programming language
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
Experience architecting/operating solutions built on AWS
Experience owning and leading significant projects from concept to deployment
Experience working with networking fundamentals or Internet protocols such as TCP/IP, UDP, SSL, DNS, HTTP/S, or equivalent
Experience with workflow orchestration and event-driven designs (Step Functions, EventBridge or equivalents), including idempotency, retries and rollback
Experience integrating with systems whose APIs you do not control, and designing for their failure modes
Experience with data modeling: versioned data, graph-shaped data, or generating configuration or code from a model
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, WA, Seattle - 143,700.00 - 194,400.00 USD annually
