Role Description We are looking for a Software Engineer who operates at the intersection of high-scale full-stack engineering and cutting-edge Applied AI. - Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture. - AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems. - Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production. - Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, test automation, and by establishing continuous, trace-based quality evaluation for all software and agentic components. - Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap and Agentic AI-SDLC and Production Operations. Qualifications - 7+ years of backend or full-stack engineering experience, including 2+ years building production-grade agentic systems in distributed environments. - Strong proficiency in Python (preferred) or TypeScript/Go/Rust, with the ability to transition to Python. - Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or equivalent. - Proven expertise in designing cloud-native, event-driven architectures using AWS, Kubernetes, Terraform, CI/CD, GraphQL or REST APIs, and messaging systems (SQS/SNS). - Experience with PostgreSQL, DynamoDB, MongoDB, and preferably vector databases. - Familiarity with AI-native development tools such as Claude Code, Cursor, or Copilot. - Excellent communication skills and the ability to work independently in a highly autonomous environment. Requirements - Experience with React, Next.js, or similar frontend technologies (will be a plus). Benefits - Help and support from our caring HR team. - 15 working days of annual paid leave. - The exchange of experience and work with talented colleagues. - Last but not least - valuable compensation for your efforts.

• Develop and enhance web applications using C#/.NET and JavaScript. • Implement new features and improvements in a mission-critical corporate system. • Build and maintain REST APIs for system integration. • Investigate, diagnose, and resolve high-complexity issues. • Work on the continuous evolution of architecture and code quality. • Participate in code reviews and share knowledge with the team. • Collaborate with architects, business analysts, Product Owners and other developers to define the best technical solutions. • Apply development best practices focused on performance, scalability, security and maintainability.

Role Description You'll build that runtime protection layer end-to-end. - The product: A brand-new product line, yours to define — what we intercept, what we don't, what the customer-visible surface looks like. - The technical approach: Instrumentation strategy, deployment shape, programming language — all open. You'll consult with our architects but the direction is yours. - Implementation, end to end: You'll have the full tooling stack we provide — LLM subscriptions, modern dev infrastructure, the works. Use what makes you fast. - Methodology: How you build conviction in your detection logic — your call. - Cross-layer signal: Our existing stack produces threat intelligence at unmatched scale: tens of millions of monitored sites, petabyte-scale malware sample storage, real-time domain and URL reputation, IP-level attack feeds. These are available for you to plug into. Use what helps. Qualifications - Familiarity with the Node.js runtime and the JavaScript ecosystem. - Strong web application security fundamentals and current knowledge of practical exploitation. - A working sense of how detection rules behave at scale — what catches attackers without flagging the long tail of legitimate code. - Ability to start as the PM, architect, lead engineer, and QA for this product. You ask for resources or help when you need them; you don't wait to be told what to do. Requirements - Comfort directing AI coding agents to high-quality output — most of our engineering does this now. - Prior work on runtime-protection products, application firewalls, or instrumentation tooling. - Background in malware analysis or incident response. - Familiarity with managed-hosting environments. - Public security research, vulnerability disclosures, or detection rulesets you've authored. Benefits - A focus on professional development. - Interesting and challenging projects. - Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. - Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. - Compensation for private medical insurance. - Co-working and gym/sports reimbursement. - Budget for education. - The opportunity to receive a reward for the most innovative idea that the company can patent.

• Analyze and validate business requirements, specifications, and mockups submitted through ServiceNow. • Develop new features and enhancements based on change requests. • Investigate and resolve application defects and production issues. • Support deployment validation and post-release testing. • Develop and maintain document generation solutions, stylesheets, and report templates. • Configure and support reporting options across multiple GDC environments. • Maintain and enhance integrations with SAP, Salesforce (REXIS), Agiloft, and other enterprise systems. • Support approval email components and common reporting assets. • Migrate legacy XSLT-based logic to C# using Aspose Word and Excel templates. • Collaborate with cross-functional teams using Agile methodologies and modern development tools.