About the role

We are looking for a Lead Security Software Engineer to architect GenAI workflows and automation systems that translate manual cloud security adoption into AI-accelerated pipelines within a large-scale financial services environment. You will design RAG-based systems and LLM API integrations to automate secure cloud baseline generation, Rego policy creation, and Terraform module compliance, while leading a localized engineering pod and acting as the primary technical point of contact for cloud security tooling.

What you will do

  • Architect Generative AI workflows (utilizing RAG, vector databases, and LLM APIs) to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3);
  • Oversee the development of automated drift detection, continuous discovery, and gap analysis capabilities to identify unmanaged AI assets and configuration anomalies;
  • Guide the engineering pod in generating and validating compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines;
  • Act as the primary technical point of contact for Cloud Security Tooling (CST), leading a localized pod to ensure scalable, maintainable, and highly effective automation frameworks.

Must haves

  • 6+ years of software engineering experience with a strong architectural focus on Cloud infrastructure;
  • Advanced Python development and REST API design capabilities;
  • Practical experience integrating Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases. (Note: We need software builders, not Machine Learning researchers);
  • Deep Cloud Architecture experience (AWS preferred) and proven ability to design Infrastructure as Code (Terraform);
  • Proven capability to lead and mentor senior engineers in an autonomous, follow-the-sun model.

Nice to haves

  • Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph);
  • Experience building APIs with FastAPI;
  • Direct experience writing Rego policies (Open Policy Agent) or Regula test cases;
  • Familiarity with Cloud-Native Application Protection Platforms (CNAPP), particularly Wiz.

Perks

  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location

Didn’t find the perfect fit?

Subscribe to get notified about new roles that match your skills and interests.

Get role alerts

Hiring process timeline

We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.

lightning-iconA quick note

After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.

1

Tell us about yourself

Submit a short application form.

2

Pass a quick test

Pass a 30’- 60’ test.

3

Record a short video

Introduce yourself on video to fast-track your application process.

4

Meet our team

Once you pass the video review, grab a spot on our calendar for a technical interview.

5

Get an offer

Welcome to AgileEngine!

FAQ

Have any questions?

What is the work format and schedule?

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.

What level of English is required?

We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.

Does AgileEngine provide work equipment?

It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.

What opportunities for professional growth do you offer?

We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:

  • An annual learning and development budget
  • Internal workshops, tech talks, and mentorship programs
  • Opportunities to switch projects or grow into new roles over time

What does a typical team look like, and what tools do you use?

Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.

For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.

Need help?

Want more details? See full FAQ

If something doesn’t work or you have questions regarding your application process, drop us a line.

    Scroll to Top