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Build and refine AI-driven security testing for cloud apps: write detection rules, simulate attacks, and reduce false positives to protect Fortune 100 infrastructure.
* This position is contingent upon a future opening with Gunnison. Salary: $130,000 - $145,000/year Work location : Hybrid, 2-3 days per week on-site in Bethesda, MD. Design, develop, maintain, and secure enterprise…
Senior DevSecOps Engineer embeds security into CI/CD pipelines, automates compliance guardrails, and integrates security tooling across AWS and Azure for high-speed, secure software delivery.
A Sales Engineer who bridges technical and sales teams to sell Corridor’s AI-driven security platform for autonomous software development. Focuses on demos, PoVs, and customer integrations with tools like GitHub Copilot and CI/CD pipelines.
Designs and maintains secure CI/CD pipelines, DAST security scans, and ELK monitoring for UOB’s fintech systems, automating deployments and tooling upgrades while supporting weekend rotations.
The AVP DevOps Engineer ensures reliability and availability of CI/CD pipelines, security scanning, and artifact storage at UOB, focusing on automation, troubleshooting, and maintaining DevOps tools like HCL AppScan and ELK stack.
Build and secure AI-enabled applications, agents, and RAG systems in a hybrid role, shaping AI security strategy, threat modeling, and runtime guardrails while collaborating on application security reviews.
Hi, Job Title: Junior DevSecOps Engineer Location: Reston, VA / Washington, DC.(Hybrid) Duration: Long-term Responsibilities: DevOps/DevSecOps engineering experience Hands-on AWS, CDK/CloudFormation, CodePipeline &…
Designs and automates secure cloud platforms and CI/CD pipelines, integrating SAST/SCA scanning and Kubernetes security for clients in defense, mobility, and telecom.
Builds secure, automated DevOps environments by designing CI/CD pipelines, managing cloud infrastructure, and hardening container/Kubernetes setups with security controls.
Embeds security into software development lifecycle (SDLC) by integrating SAST/DAST/SCA tools, conducting threat modeling, code reviews, and vulnerability management. Advises teams on secure architecture and coaching security champions to ensure secure software delivery.
Owns CodeRabbit’s AI-driven security scanner, balancing LLM-based vulnerability detection with static analysis to grade and surface actionable security findings in pull requests. Focuses on trust, precision, and developer/AppSec team adoption in a fast-moving AI-first security tool.
Salary: £100,000 - 100,000 per year Requirements: Strong experience across several of the following: AWS / Cloud Platforms, Kubernetes, Terraform / Infrastructure-as-Code, CI/CD, DevOps / DevSecOps, Platform…
Vill du bygga säkra molnplattformar där automation och säkerhet följer hela leveransen? Som DevSecOps Engineer kombinerar du arkitektur med praktisk utveckling i varierande kunduppdrag. Du designar, automatiserar och…
Vill du kombinera DevOps, cloud och cybersecurity? Som DevOps/SecOps-konsult bygger du automatiserade och säkra leveransmiljöer för kunder i olika tekniska miljöer. Vad kommer du att arbeta med? I rollen designar,…
The DevOps Engineer will manage and configure AWS cloud environments, implement infrastructure-as-code using Terraform and CloudFormation, and develop automation scripts in Python or Java. The role also involves ensuring cloud security, handling incident management, and driving technology adoption across the organization.
Join the best bank to work for in Bulgaria* Who we are: Do you want to join a well-established bank with a start-up culture? No, we’re not joking! We, at tbi, have been one of the most profitable banks for years and we…
The Cybersecurity Architecture Specialist acts as a security advisor to ensure that infrastructure and application projects are securely designed and deployed. The role involves defining security blueprints, conducting architecture reviews, and promoting security best practices across DevOps and cloud environments.
You’ll own the reliability, security and performance of digital products in production, using cloud-native tools, observability and AI-driven automation to keep systems stable and scalable.
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