Hiire

• Collaborate closely with infrastructure and engineering teams to improve DevSecOps practices • Contribute to the security and reliability of cloud-based applications running on AWS • Help evolve and maintain CI/CD pipelines with a strong focus on security and automation • Support initiatives around code analysis, vulnerability scanning, and secure development practices • Identify infrastructure and application security risks and contribute to mitigation strategies • Work on application security topics across cloud infrastructure and internal platforms • Help improve security visibility, operational processes, and engineering workflows • Contribute to the prevention and mitigation of malicious traffic and automated attack attempts • Promote security best practices across development and infrastructure teams

• own end-to-end tech placements, 100% remote, clear processes, steady metrics • Hitting the metrics that matter: time-to-shortlist 40%, offer acceptance >85% • Candidate experience that doesn't embarrass us • ATS hygiene: notes within 12 hours, no duplicates, pipeline always current • Weekly client updates that hiring managers enjoy to read • Calling out broken processes when you see them

• Develop high-level C# Desktop Applications for user interaction; • Build low-level, hardened C/C++ code for Linux (Yocto) and RTOS; • Design and maintain secure C/C++ applications across Windows (Visual Studio), Linux (Eclipse), and RTOS; • Develop robust C#/.NET desktop applications (WPF/WinForms); • Build and secure Yocto-based Linux distributions; • Design firmware for RTOS with a focus on memory protection; • Integrate security controls such as encryption (AES, RSA); • Ensure seamless and secure communication between C# high-level applications and low-level embedded targets.

• Build and scale backend services using TypeScript / Node.js • Contribute to and maintain parts of the existing PHP/Laravel application • Develop product features and internal tools using React • Own initiatives from discovery, design, implementation, and rollout through to iteration • Work closely with Product, QA, and stakeholders to solve customer and business problems • Expand microservices architecture while integrating with existing systems • Help evolve a product environment where the monolith remains part of the landscape alongside newer services • Improve platform reliability, scalability, and engineering efficiency • Contribute to technical decisions, architecture, and coding standards • Help shape how products are built in a fast-moving environment.

• Design and operate the infrastructure behind AI platforms and AI agents • Build secure, scalable, and cost-efficient AI environments in AWS • Automate everything (yes, everything) using Infrastructure as Code • Create smooth CI/CD pipelines for AI workloads and deployments • Ensure observability, reliability, and performance across AI systems • Work closely with AI engineers, data scientists, and automation teams • Own deployment standards, best practices, and operational excellence • Troubleshoot, improve, optimize - and do it again