DETAILS
Developer
Python
Engineering
Python
Python
REST API
LLM APIs
Full-time
- India
- Asia
5+ years of experience
5+ years
Senior Lead Architect C-level
Remote
TECH STACK
Python
REST API
LLM APIs
OpenAI
Python
REST API
LLM APIs
OpenAI
Anthropic
RAG
Vector Embeddings
AWS
Terraform
Cloud Deployment
About the role
We are looking for a Senior Security Software Engineer to build cloud security AI accelerators, writing Python code, developing REST APIs, and implementing GenAI workflows that automate cloud infrastructure baselines, drift detection, and AI asset discovery across a large-scale financial services environment. You will build AI agents for inventory data quality validation, write Rego policies for CI/CD pipeline inspection, generate compliant Terraform modules, and integrate LLM APIs including OpenAI and Anthropic into production automation systems.
What you will do
- Build and implement AI agents to automate inventory data quality validation, reconciliation, and ownership attribution to reduce manual security operations efforts.
- Write and validate Rego policies and Regula test cases that inspect Terraform passing through CI/CD pipelines.
- Generate compliant Terraform modules based on AI-accelerated configuration requirements for new cloud resources, such as AWS S3.
- Develop robust REST APIs and scripts that routinely perform drift detection, deploy live test resources, and verify expected outputs from cloud service endpoints.
Must haves
- 5+ years of hands-on software engineering experience.
- Strong Python development fundamentals, including clean, maintainable code, OOP/functional patterns, and testing.
- Proven REST API development experience.
- Hands-on experience integrating LLM APIs, such as OpenAI and Anthropic, into Python applications, with a baseline understanding of developer-centric AI concepts like RAG and vector embeddings. No ML model training or data science background required.
- Practical experience deploying applications to Cloud environments, with AWS preferred, and writing Infrastructure as Code (Terraform).
- Ability to operate with minimal supervision on day-to-day execution, reliably completing complex automation tasks.
Nice to haves
- Experience building high-performance endpoints using FastAPI.
- Hands-on scripting experience with LangChain or LangGraph.
- Practical experience writing Rego policies for Wiz Custom Configuration Rules or Regula.
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
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Welcome to AgileEngine!
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.
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