Amazon’s latest rounds of job cuts have not fallen evenly across its technical workforce. The deepest shock has landed on mid level software engineers, the people who sit between entry level coders and senior architects and who quietly keep the company’s sprawling systems running. As the company trims costs and leans harder on automation, that middle tier is being squeezed in ways that reveal how Amazon now values, and devalues, different layers of engineering work.
Why the “missing middle” is emerging inside Amazon’s engineering ranks
Across Amazon’s consumer, devices, and cloud units, the pattern that emerges is not a broad culling of all engineers but a targeted thinning of those in the middle of the ladder. Senior principal engineers and distinguished technologists, who set long term technical direction, have largely been insulated, while entry level developers are still being hired into growth areas such as generative AI and logistics optimization. The pressure is concentrated on Software Development Engineers at the mid bands, where managers can cut experienced but relatively expensive staff without sacrificing the executive level vision or the cheapest hands on keyboards, a trend reflected in internal headcount charts and recent layoff disclosures in units like Prime Video and Audible.
That structure creates what many engineers describe as a “missing middle,” where teams are left with a few senior leaders and a rotating cast of junior hires but fewer mid career developers who understand legacy systems and can mentor new staff. In Amazon’s advertising and Alexa organizations, for example, staff reductions have hit engineers with several years of tenure who were responsible for maintaining mature services while also shipping incremental features, according to accounts tied to layoffs in the ads business and Alexa unit. The result is a pyramid that is top heavy at the very senior end, thin in the middle, and replenished at the bottom only in the most strategically favored teams.
Cost cutting, automation, and the new math on mid level engineers
Amazon’s leadership has been explicit that the company is in a multiyear effort to reset its cost base after the pandemic era expansion. Chief executive Andy Jassy has repeatedly framed the layoffs as part of a broader “streamlining” of operations, a message that accompanied job cuts affecting roughly 27,000 corporate roles across 2023 and early 2024, including engineers in AWS and Twitch. In that environment, mid level engineers often sit in the crosshairs because they command higher salaries than new graduates but are not yet the irreplaceable decision makers that senior staff have become, making them the most straightforward line items to remove when finance teams push for savings.
At the same time, Amazon is investing heavily in tools that reduce the need for large numbers of mid career developers to handle routine coding and maintenance. Internal adoption of generative AI assistants, code generation systems, and more automated deployment pipelines has accelerated inside AWS and consumer engineering groups, according to reporting on Amazon’s push into generative AI tools. When leaders believe that AI can shoulder more of the boilerplate work that mid level engineers traditionally performed, the business case for keeping as many of those roles on staff weakens, especially in mature products where growth has slowed.
How team structure and promotion dynamics amplify the impact
The way Amazon organizes its teams and promotions magnifies the pain for mid level engineers when layoffs arrive. The company’s “single threaded leader” model, which gives individual managers wide latitude over their product lines, means that when a particular business is underperforming, its middle layer of engineers can be cut quickly without a company wide redeployment plan. That pattern surfaced in the restructuring of the devices and services group, where teams working on slower selling hardware and experimental Alexa features saw mid level roles eliminated while a smaller core of senior engineers was retained to chart a narrower roadmap.
Promotion dynamics also play a role. Amazon’s performance management system has historically pushed engineers to climb the ladder quickly, with strong pressure to move from early career levels into more senior bands. When growth slows and fewer senior slots are available, that pipeline backs up, leaving a bulge of mid level engineers competing for limited advancement. In the layoffs that hit corporate engineering teams, several reports described how those stuck at the same level for multiple cycles were more vulnerable, as managers used performance ratings and stalled promotions to justify cuts. The structure effectively turns mid level status from a stable plateau into a precarious holding pattern.
Why mid level cuts matter for product quality and institutional memory
When a company trims its middle tier of engineers, it is not just reducing headcount, it is eroding the institutional memory that keeps complex systems stable. Mid career developers are often the ones who know why a particular service was architected a certain way, which edge cases have already burned the team, and how to navigate the maze of internal dependencies that define a platform as sprawling as Amazon’s. In the wake of layoffs in areas like Prime Video, employees have described increased on call burdens and slower incident response as remaining staff scramble to cover services once owned by colleagues who left, a predictable outcome when the people with the deepest day to day familiarity are disproportionately removed.
Product quality can suffer in more subtle ways as well. With fewer mid level engineers to review designs, mentor junior developers, and push back on risky shortcuts, teams can become more brittle even if headline shipping velocity appears unchanged. In Amazon’s retail and logistics technology groups, for example, the company has continued to roll out new warehouse automation and delivery optimization tools while simultaneously cutting roles in overlapping legacy systems, according to coverage of layoffs in operations and ads. That kind of transition demands careful, experienced oversight to avoid outages or customer facing glitches, yet the very people best positioned to provide that oversight are often the ones whose roles are deemed nonessential in a spreadsheet.
What the shift signals for the next generation of Amazon engineers
For engineers building careers inside Amazon, the new layoff pattern sends a clear signal about where the company believes long term value lies. The safest roles are clustered at the extremes: highly specialized senior experts who can define strategy in areas like large scale machine learning, and adaptable early career developers who can be hired into hot teams and retrained as priorities shift. Mid level engineers who focus on incremental feature work in mature products, or who have not yet carved out a niche in growth domains such as generative AI, advertising technology, or logistics optimization, face a more volatile landscape, as seen in the uneven impact of cuts across AWS, Twitch, and consumer software teams.
That shift does not mean mid level engineers are obsolete, but it does change how they need to position themselves. The engineers who appear most resilient in this cycle are those who pair solid coding skills with ownership of critical systems, cross team influence, or deep expertise in revenue generating platforms like ads and AI infrastructure. As Amazon continues to rebalance its workforce, the middle of the ladder is unlikely to disappear, but it is becoming a narrower, more demanding rung, one where engineers must demonstrate clear, differentiated impact to avoid being the first names on the next layoff list.
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Grant Mercer covers market dynamics, business trends, and the economic forces driving growth across industries. His analysis connects macro movements with real-world implications for investors, entrepreneurs, and professionals. Through his work at The Daily Overview, Grant helps readers understand how markets function and where opportunities may emerge.
