Software Development Engineer, Building Connectivity Engineering

Amazon is hiring a Software Development Engineer, Building Connectivity Engineering in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
The posting mentions AWS, Lambda and DynamoDB among its tools and skills.
Level classes it as a mid-level role.
Amazon has 22,000+ other open roles on Level.
Posted within the past two weeks.

AI in this role

Design and build automated network controller services and infrastructure for AWS data centers.

awslambdadynamodbeventbridgecdk

software-engineeringdistributed-systemsnetworkinginfrastructure-as-codesystem-design

Every Amazon data center runs on networks no customer ever sees: the corporate network that engineers and tools use to reach the fleet, the segmented networks that cameras and badge readers ride on, the network for building systems, and the isolated controls networks behind power and cooling. Building Connectivity Engineering (BCE), part of AWS Networking, owns the design and operation of those fabrics in every Amazon data center, and builds them into more than 100 new sites a year. Building Connectivity Software Systems (BCSS) is the software team inside BCE.

We build the controller for these networks. It holds the intended state of every fabric as a model, computes everything a new site needs (addresses, routing identifiers, ports, cabling, device registration) before a technician plugs in the first rack, renders device configuration from the model, and drives the deployment and monitoring platforms that AWS Networking already runs. The first production release went live in September 2026 and took a site build that used to need about twenty hand-run steps down to one request. Most of the controller is still ahead of us.

We are hiring Software Development Engineers to build the next releases: a versioned model of intended network state with full history and rollback, device configuration rendered from that model instead of written by hand, and the orchestration that takes a site from a plan to live traffic with one physical touch. You will design services, write the design documents for them, build them on AWS, prove them in shadow mode against real sites, and run them in production. The network engineers who hold the fabric knowledge are your partners; your code is the engine their models run on.

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.

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 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

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
- 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

How we rate this

Software Development Engineer, Building Connectivity Engineering at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer, Building Connectivity Engineering is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Seattle.
The job was posted on October 14, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringDistributed SystemsNetworkingInfrastructure As CodeSystem DesignAWSLambdaDynamoDB

Also common in software engineer jobs at this level

Python Kubernetes TypeScript React Azure Docker

Pay

This job starts at: $144k
Typical software engineer job: $168k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where networking was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Tell me about a project where system design was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Engineering, Distributed Systems, Networking, Infrastructure As Code, and System Design. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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