A technology consulting firm is seeking a DevOps Engineer to play a pivotal role in shaping scalable infrastructure and driving the automation of CI/CD pipelines. The candidate should have over 5 years of hands-on experience with Docker, Kubernetes, and AWS, alongside strong automation skills. This role involves collaborating with developers and stakeholders to enhance infrastructure performance in a remote setting. If you are passionate about innovation and operational excellence, we encourage you to apply. #J-18808-Ljbffr
Job Title: Sr. Infrastructure Security Engineer Job Type: Full-Time Location: Remote The Role We’re looking for an infrastructure security engineer who thinks like a builder, not an auditor. You’ll design and evolve the security foundations of a fast-moving, AI-native organization—where the goal isn’t just to reduce risk, but to enable us to move faster safely. This role sits at the intersection of systems engineering, security research, and applied automation. What You’ll Do Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration. Build automated guardrails and self‑healing infrastructure to eliminate entire classes of vulnerabilities. Design and implement Zero Trust primitives—identity, access, and policy as code—from first principles. Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable). Explore and deploy AI‑native approaches to threat modeling, anomaly detection, and incident response. Partner closely with engineering and research teams to embed security into the development lifecycle. Write clearly and think clearly—security decisions should be legible, reviewable, and composable. Continuously rethink assumptions and evolve our security posture as new threats and paradigms emerge. What We’re Looking For Deep experience securing distributed, multi‑cloud systems (AWS, GCP, Azure). Strong programming ability (Python, Go, Rust, or similar) with a bias toward automation and systems thinking. Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines. Strong understanding of identity systems, least privilege, and Zero Trust architectures. Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and signal quality challenges. A mindset that treats security as an engineering and systems problem—not compliance. Comfort working in a highly asynchronous, writing-heavy, and fast-paced environment. Nice to Have Experience securing Kubernetes and containerized workloads at scale. Contributions to open-source security tools or research. Experience applying or experimenting with AI/ML in security contexts. Strong opinions about how security should evolve in an AI‑first world. #J-18808-Ljbffr
A progressive tech company seeks a Sr. Infrastructure Security Engineer to reshape security foundations amid rapid product iteration. The role involves architecting security systems across AWS, GCP, and Azure while building automated and self-healing infrastructure. Ideal candidates will have deep multi-cloud security experience and a strong programming background. The job offers a dynamic, asynchronous work environment focused on enabling secure innovation. #J-18808-Ljbffr
Job Title: Sr. Infrastructure Security Engineer Job Type: Full-Time Location: Remote The Role We’re looking for an infrastructure security engineer who thinks like a builder, not an auditor. You’ll design and evolve the security foundations of a fast-moving, AI-native organization—where the goal isn’t just to reduce risk, but to enable us to move faster safely. This role sits at the intersection of systems engineering, security research, and applied automation. What You’ll Do Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration. Build automated guardrails and self-healing infrastructure to eliminate entire classes of vulnerabilities. Design and implement Zero Trust primitives—identity, access, and policy as code—from first principles. Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable). Explore and deploy AI-native approaches to threat modeling, anomaly detection, and incident response. Partner closely with engineering and research teams to embed security into the development lifecycle. Write clearly and think clearly—security decisions should be legible, reviewable, and composable. Continuously rethink assumptions and evolve our security posture as new threats and paradigms emerge. What We’re Looking For Deep experience securing distributed, multi-cloud systems (AWS, GCP, Azure). Strong programming ability (Python, Go, Rust, or similar) with a bias toward automation and systems thinking. Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines. Strong understanding of identity systems, least privilege, and Zero Trust architectures. Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and signal quality challenges. A mindset that treats security as an engineering and systems problem—not compliance. Comfort working in a highly asynchronous, writing-heavy, and fast-paced environment. Nice to Have Experience securing Kubernetes and containerized workloads at scale. Contributions to open-source security tools or research. Experience applying or experimenting with AI/ML in security contexts. Strong opinions about how security should evolve in an AI-first world. #J-18808-Ljbffr
A technology consulting firm is looking for a Sr. Infrastructure Security Engineer to design advanced security systems across multi-cloud platforms. The candidate needs deep experience in security for distributed systems, strong programming skills, and familiarity with Infrastructure as Code. This role emphasizes an engineering mindset towards security, automation, and practical application of Zero Trust principles. Join a fast-paced, AI-driven team working to enhance security while enabling rapid development. #J-18808-Ljbffr
Job Title: DevOps Engineer Job Type: Full-Time Location: Remote Job Summary Join our team as a DevOps Engineer and play a pivotal role in shaping scalable, resilient infrastructure. You will drive the automation and optimization of CI/CD pipelines, leveraging cutting-edge technologies and cloud platforms. If you thrive in a dynamic environment and have a passion for enabling innovation while ensuring operational excellence, we want to hear from you. Key Responsibilities Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, and Terraform. Build, deploy, and manage containerized applications with Docker and Kubernetes in cloud-native environments (AWS/GCP). Collaborate closely with developers, architects, and stakeholders to improve infrastructure reliability, scalability, and performance. Automate infrastructure provisioning, configuration, and monitoring to support continuous delivery. Ensure proper system documentation and operational best practices. Required Skills And Qualifications 5+ years of hands‑on experience in DevOps or related engineering roles. Expertise in Docker, Kubernetes, AWS, and related container/cloud technologies. Strong proficiency with DevOps automation tools (Terraform, GitHub, GitHub Actions) and version control systems. Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences. Nice-to-Have Familiarity with security practices in CI/CD pipelines, including vulnerability scanning and compliance checks. Knowledge of API security, container security, and public cloud security (AWS, GCP). Experience with security tools such as Prisma Cloud, SIEM, SOAR, Nessus, or CrowdStrike. Understanding of security standards and compliance frameworks (PCI-DSS, HIPAA, SOX, GDPR, CCPA). Professional certifications such as CISM, CISSP, CISA, PCI-ISA, or PCIP. #J-18808-Ljbffr
A leading consulting firm is seeking Investment Banking Experts based in the U.S., UK, Canada, Europe, or Australia to contribute to a research project. This fully remote role demands at least 10 hours per week over a minimum of 4 weeks, paying between $100-$130 per hour. Applicants should have a minimum of 2 years' experience in top firms and skills in areas such as financial modeling and investment analysis. Strong performance may lead to more opportunities. #J-18808-Ljbffr
Job Title: Sr. Infrastructure Security Engineer Job Type: Full-Time Location: Remote The Role We’re looking for an infrastructure security engineer who thinks like a builder, not an auditor. You’ll design and evolve the security foundations of a fast-moving, AI-native organization—where the goal isn’t just to reduce risk, but to enable us to move faster safely. This role sits at the intersection of systems engineering, security research, and applied automation. What You’ll Do Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration. Build automated guardrails and self‑healing infrastructure to eliminate entire classes of vulnerabilities. Design and implement Zero Trust primitives—identity, access, and policy as code—from first principles. Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable). Explore and deploy AI‑native approaches to threat modeling, anomaly detection, and incident response. Partner closely with engineering and research teams to embed security into the development lifecycle. Write clearly and think clearly—security decisions should be legible, reviewable, and composable. Continuously rethink assumptions and evolve our security posture as new threats and paradigms emerge. What We’re Looking For Deep experience securing distributed, multi‑cloud systems (AWS, GCP, Azure). Strong programming ability (Python, Go, Rust, or similar) with a bias toward automation and systems thinking. Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines. Strong understanding of identity systems, least privilege, and Zero Trust architectures. Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and signal quality challenges. A mindset that treats security as an engineering and systems problem—not compliance. Comfort working in a highly asynchronous, writing-heavy, and fast-paced environment. Nice to Have Experience securing Kubernetes and containerized workloads at scale. Contributions to open-source security tools or research. Experience applying or experimenting with AI/ML in security contexts. Strong opinions about how security should evolve in an AI‑first world. #J-18808-Ljbffr
A prominent technology consulting firm seeks a Sr. Infrastructure Security Engineer to enhance its security foundations in a fast-paced AI-native environment. The ideal candidate has profound experience securing multi-cloud systems like AWS, GCP, and Azure, alongside strong programming skills in Python, Go, or Rust. Responsibilities include architecting security systems, building automated guardrails, and implementing Zero Trust principles. This role offers a dynamic remote working opportunity. #J-18808-Ljbffr
A tech consulting firm is seeking a DevOps Engineer to play a key role in automation and optimization of CI/CD pipelines. You will work on building and managing containerized applications using tools like Docker, Kubernetes, and AWS. The ideal candidate has over 5 years of relevant experience and is skilled in collaboration to enhance infrastructure reliability. This position offers the flexibility of remote work and is perfect for someone passionate about operational excellence and innovative solutions. #J-18808-Ljbffr
