Staff AI Platform Engineer

Sysdig is hiring a Staff AI Platform Engineer for a remote role open to applicants in United States. It pays $123k-$154k a year and Level rates it ; you can apply on Sysdig.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
This is listed as a remote role.
The posting mentions Bedrock and prompt engineering among its tools and skills.
Level classes it as a lead role.
Sysdig has 37 other open roles on Level.

AI in this role

Bedrock

prompt-engineering

At Sysdig, we believe cloud security isn't a compromise - it's a promise. From the start, our mission has been clear: to help organizations secure innovation in the cloud, the right way. We created Falco, the open standard for cloud threat detection, and continue to lead the cloud security market with runtime insights, open innovation, and agentic Al. Creators of technology trusted by over 60% of the Fortune 500, Sysdig gives teams the real-time clarity to move fast and defend what matters most. Culture matters here. We believe diversity fuels stronger ideas, and open dialogue drives sharper decisions. Recognized as a Best Place to Work and one of Deloitte's fastest-growing companies for the past 5 years, we're here to raise the standard for what cloud security and workplace culture should be. If you have the passion to dig deeper, the desire to challenge convention, and the curiosity to build something better, Sysdig is the right place for you.

What you will do

Drive the business-side Bedrock runtime and gateway configuration - model access, cost attribution, content-filtering guardrails, model pinning, and quota management, behind an AWS/Okta-SSO'd gateway - co-owned with our DevX lead, who leads the shared-substrate architecture.
Build and run the MCP fleet - ship, secure, and patch self-hosted and managed MCP servers for business apps and databases, and own the MCP registry. Partner with IT to graduate MCPs into stable, IT-managed assets.
Make the secure path the easy path without administering identity or devices yourself: author the MDM config payload and the Okta-group-to-IAM mapping that IT pushes and enforces, and specify the desktop client setup and auth flows for non-technical employees.
Build the AI and agent-triggered automations (approvals, spend alerts, agent-initiated workflows); general business automation stays with IT.
Own the technical direction for the agent-hosting substrate other teams build on - the design docs and standards, not just the code. There is no existing pattern today; you set it, and other teams adopt it as their default.
Define what "healthy" and "safe to ship" mean for every agent and MCP server on the platform - the cost, usage, and reliability telemetry (the Bedrock-to-Snowflake pipeline, identity-matched, with threshold alerting), plus a tiered-autonomy model: what stays read-only, what can act, what needs a human in the loop or a rollback path.
Build the governance that standard requires. Route workflows by data sensitivity, enforce least privilege and auditability, and keep unproven models sandboxed away from production data.
Drive alignment across IT, Security, and DevX on the platform's direction - get multiple teams building against a written standard without owning their roadmaps.

What you will bring with you

6+ years in software engineering, platform engineering, or DevOps, including ownership of something in production that others depended on.
Hands-on AWS - IAM, ECS or Lambda, CloudWatch, and working VPC knowledge. Required, not a bonus.
Full-stack range - backend services, APIs, CI/CD, containerized deployments.
Builder - you can write an MCP server or API integration from scratch, not just wire up a managed connector.
Hands-on with LLMs - comfortable with LLM APIs, prompt engineering, and agent development; you've shipped something with them.
Self-direction - you can take an underspecified task and figure out the ambiguous parts to create impactful solutions.

What we look for

A bias to ship, and to automate the thing you just did by hand.
Willingness to own the boring parts: upgrades, credentials, quotas, on-call reality.
Candor: you raise problems and disagreements early, including when a platform choice looks wrong.
Judgment about when to buy instead of build. We would rather run a small, coherent stack than a perfect, sprawling one.

When you join Sysdig, you can expect

Extra days off to prioritize your well-being
401(k) Retirement Savings Plan with a 3% company match
Maternity and Parental Leave
Mental health support for you and your family through the Modern Health app
Full health benefits package for you and your family

The U.S. annual salary range for this full-time position is between 123,000 and 154,000 USD/year. Actual offers may be higher or lower than this range based on a variety of factors, including your work location, job-related experience and education. We would love for you to join us! Please reach out even if your experience doesn't perfectly match the job description. We can always explore other options after starting the conversation. Your background and passion will set you apart, especially if your career path is different. Sysdig values a diverse workplace and encourages women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Sysdig is an equal-opportunity employer. Sysdig does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other legally protected status. #LI-MC1 #LI-Remote

How we rate this

Staff AI Platform Engineer at Sysdig rates 8 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

Staff AI Platform Engineer is an open job at Sysdig.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $123k-$154k a year.
The role is based in Raleigh and is marked remote.
The job was posted on September 11, 2026.
Seniority: lead.
Applications are handled by Sysdig. Apply on Sysdig

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringBedrock

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering and Bedrock. 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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