Job Purpose:
The ideal candidate will collaborate with the Security Operations Center (SOC) Engineering team to enhance cybersecurity capabilities by designing, developing, and deploying advanced AI and machine learning solutions. They will help to drive AI initiatives forward and shape the future of AI technologies in the organization.
Responsibilities:
- System Design and Implementation: Design, develop, and implement system solutions to improve stability and efficiency. Analyze system requirements and ensure that systems will be securely integrated with current applications. Work with internal teams to setup and maintain Staging and Production environments in both on-prem and cloud environments.
- Maintenance and Troubleshooting: Provide expert support for system management, monitoring and troubleshooting. Identify, diagnose, and resolve system issues to minimize downtime.
- Performance Optimization: Continuously monitor, manage, optimize, and report on the performance of SOC solutions, identifying and resolving any issues or bottlenecks, incidents and resolutions.
- Documentation: Maintain detailed documentation for system configurations, system changes, and service records.
- Collaboration and Knowledge Sharing: Collaborate with other SOC engineering teams to share knowledge, best practices, and lessons learned in threat intelligence management. Provide training and guidance to junior engineers as needed.
- Integration with SOC Tools: Collaborate with other SOC engineering squads to tightly integrate SOC ecosystem (SIEM, SOAR, EDR, NDR, Threat Intelligence) and workflows for stability, performance, and service excellence.
- Automation and Orchestration: Develop scripts and leverage automation tools to streamline operations and minimize manual intervention. This includes automating deployment processes, system configurations, and routine maintenance tasks.
- Continuous Improvement: Stay abreast of the latest trends and technologies in systems engineering, IaaC, automation, and microservices. Recommend and implement improvements to existing infrastructure and processes to enhance performance, reliability, and cost-efficiency.
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Threat Intelligence Solutions management: Manage and maintain enterprise and open-source threat intelligence platforms and solutions, including configuration, optimization, and integration with other SOC tools.
- Solid understanding of hosted and cloud platforms (AWS, Azure, Google Cloud) and their services.
- Solid knowledge of operating systems (Windows, Linux, macOS) and their security configurations.
- Thorough understanding of virtualization, network protocols, architecture, and security.
- Eager learner with strong analytical and problem-solving abilities.
- Proficiency in scripting languages (e.g., Python, Bash) for automation.
- Extensive knowledge in Git and automated build and deployment tools (such as Jenkins, Azure DevOps Pipelines) and utilizing Ansible, Terraform, etc. in hybrid environments.
- Deep understanding of APIs and how to integrate, parse, and produce desired results.
- Experience with microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
- Ability to collaborate effectively with a variety of team members, including interfacing with customers to resolve issues.
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High proficiency in written and verbal communication.
- Cloud-related certifications like AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert.
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Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) is preferred.
- Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
- At least 6 years of experience in DevOps/Platform Engineering in complex environments incorporating security practices.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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