Key Responsibilities: As a Staff Engineer - Application Security , you will play a pivotal role in safeguarding our applications, ensuring they are secure by design. You will collaborate with cross-functional teams, including Engineering, DevOps, and Product, to identify potential vulnerabilities, define security best practices, and implement robust security measures. Lead the design and implementation of application security architecture across our SaaS platforms. Conduct security assessments, threat modelling, and code reviews to identify and mitigate vulnerabilities. Perform technical security assessments and reviews, research, uncover, and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers to drive architecture changes Collaborate with Engineering and Platform teams to integrate security best practices into the CI/CD pipeline. Perform penetration testing, security audits, and vulnerability assessments. Develop and maintain secure coding standards, guidelines, and training programs for engineering teams. Implement and manage security tools such as SAST, DAST, and other security automation solutions. Stay up to date with emerging security threats, technologies, and industry best practices. Respond to security incidents and work with incident response teams to investigate and remediate issues. Mentor and guide junior security engineers, fostering a culture of security awareness and continuous improvement. Review, develop and document secure operational best practices, and provide security guidance for engineers and various internal and external partners Develop and manage a secure software development lifecycle Research, recommend, and develop security tools and technologies to strengthen defenses against emerging threats and vulnerabilities Qualifications: Bachelor s or Master s degree in Computer Science, Information Security, or a related field. 8+ years of experience in Application Security, including secure software development and architecture. Strong knowledge of secure coding practices, OWASP Top 10, and common application vulnerabilities. Hands-on experience with security tools such as Snyk, SonarCloud, Burp Suite, Nessus, and others. Threat detection and incident response: familiar with security incidents, ability to develop proactive strategies to mitigate risks through close collaboration with teams. Familiarity with cloud security principles, preferably in AWS environments. Experience with CI/CD pipelines and integrating security into DevOps workflows (DevSecOps). Strong scripting and automation skills (e.g., Python, Bash, or similar). Excellent problem-solving skills and the ability to think like an attacker. Relevant certifications such as CISSP, OSCP, CEH, or similar are highly desirable. Relevant work experience in offensive security, penetration testing or red teaming Preferred Experience: Experience securing SaaS applications built with Java Spring and React. Familiarity with container security in Kubernetes (EKS) environments. Knowledge of compliance standards such as GDPR, SOC 2, or ISO 27001. Exposure to monitoring and alerting tools like New Relic, Datadog, or similar.

About Appen Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industrys most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the worlds most innovative artificial intelligence systems and Appen is already trusted by the worlds largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Appen is seeking a highly skilled and motivated Senior Software Engineer to join our dynamic team. In this role, you will use your extensive knowledge of software development to build and enhance complex systems and applications, contributing to the evolution of AI and machine learning. Key Responsibilities: Design, develop, and implement advanced software applications using languages such as Java. Ensure the performance, quality, and responsiveness of applications by identifying bugs and solving complex problems. Collaborate effectively with product managers, data scientists, and other engineers to define and achieve project goals. Mentor junior developers, providing guidance on coding standards, design principles, and the application of new technologies. Lead code and design reviews, championing high-quality software development and fostering a culture of continuous improvement. Contribute to all stages of the software development lifecycle, from ideation to deployment and maintenance. Translate business requirements into robust, scalable, and secure software solutions. Qualifications 5+ years of experience in software development. Proficiency in multiple programming languages such as Java. Hands-on experience developing software using agile methodologies. Expert knowledge in Java, Spring Boot, and JPA/Hibernate development platform. Strong background in developing microservices and building RESTful APIs. Work experience in designing relational database management systems (RDBMS) or NoSQL databases. Deep understanding of algorithms, data structures, and design patterns. Strong analytical and problem-solving skills. Experience with AI and machine learning is highly desirable. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership skills and ability to mentor junior team members. Bachelors degree in computer science, Software Engineering, or a related field. A masters degree is a plus Appen is the global leader in data for the AI Lifecycle with more than 25 years experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.

We are transforming our DevOps practice into a true Platform Engineering discipline, and we are looking for Senior Platform Engineers to help us build and scale our internal developer platform. You will be responsible for designing, developing, and maintaining internal tooling that empowers developers to be more productive, efficient, and focused on shipping high-quality software. This position is perfect for engineers who excel in automation, value system reliability and predictability, and possess a keen interest in infrastructure and resource management. You will collaborate closely with developers to pinpoint challenges, create solutions that alleviate obstacles, and improve the overall developer experience. Your passion for making a meaningful impact and your commitment to working efficiently will empower others and amplify the effectiveness of the team Key Responsibilities Design, develop, and maintain internal developer tooling that simplifies deployment, infrastructure management, and observability. Automate everything from CI/CD pipelines to infrastructure provisioning and configuration management. Build and maintain self-service capabilities for developers to easily manage their applications, environments, and dependencies. Establish best practices around reliability and predictability, ensuring internal tools and platforms produce consistent and repeatable results. Implement and enforce rigorous automated testing (unit, API, regression) to ensure the stability of platform tooling. Work on observability, ensuring our platform is well-monitored, with actionable insights into performance and reliability. Collaborate with developers, SREs, and security teams to align platform capabilities with business and engineering needs. Advocate for and implement CI/CD best practices, ensuring smooth and efficient delivery pipelines. Improve developer experience (DX) by reducing cognitive load and friction in software development workflows. You are not hesitant to roll up your sleeves to tackle issues, troubleshoot effectively, and ensure that the job is completed successfully. Qualifications: 8-10 years experience Significant software development experience, particularly in backend development and software architecture. Full-stack experience is advantageous. Proficiency in languages such as Go, Python, or JavaScript/TypeScript is preferred. In-depth knowledge of infrastructure management tools and practices, including but not limited to Terraform, Pulumi, Kubernetes, and Helm. Familiarity with GitOps methodologies and tools (e.g., ArgoCD, Flux) is advantageous. Proven experience with CI/CD pipelines, ideally with hands-on expertise in establishing CI/CD processes from the ground up, rather than merely utilizing existing workflows. Knowledge of observability tools such as Prometheus, OpenTelemetry, Datadog, and Grafana, along with an understanding of the distinction between business and service metrics. A strong foundation in automation-first principles you prioritize automation over manual processes whenever possible. Experience with cloud platforms (AWS, GCP, or Azure) and proficiency in infrastructure as code. Comprehensive understanding of containerization and orchestration technologies (Docker, Kubernetes, ECS, etc.). Awareness of networking, security, and access control best practices. Exceptional problem-solving abilities, coupled with a developer-first mindset you empathize with the challenges faced in DevOps practices from a developers viewpoint and are committed to addressing them. A strong emphasis on reliability engineering, ensuring that all platform tools and services operate predictably and consistently. Desirable Qualifications: Demonstrated expertise in designing and implementing Internal Developer Platforms (IDPs). Solid foundation in Site Reliability Engineering (SRE) principles. Knowledge of service mesh technologies such as Istio, Linkerd, or Consul, along with experience in API gateways. Skilled in utilizing policy-as-code tools like OPA, Kyverno, or HashiCorp Sentinel. Background in the Software Development Life Cycle (SDLC) with an emphasis on secure-by-design principles. Previous experience in highly regulated industries such as fintech or healthcare, where compliance and security are paramount. Active participation in open-source projects within the platform or DevOps sectors. Comprehensive experience as a full-cycle developer. Embraces a shift-left mindset, advocating for early actions to ensure smoother processes later on.

About Appen Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industrys most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the worlds most innovative artificial intelligence systems and Appen is already trusted by the worlds largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are looking for a Platform Engineer to design, build, and maintain scalable infrastructure platforms that empower development teams. This role focuses on automation, reliability, and developer experience, leveraging Platform Engineering and Site Reliability Engineering (SRE) principles. You should have expertise in cloud technologies, Infrastructure as Code (IaC), CI/CD, and observability. If you enjoy building scalable, self-service, and resilient platforms, we encourage you to apply. Key Responsibility Design and build internal platforms that enable development teams to deploy and manage applications efficiently. Develop and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation to ensure scalable and repeatable infrastructure management. Implement and optimize CI/CD pipelines for fast and reliable software delivery. Manage Kubernetes (EKS, ECS) and cloud-native services to ensure platform scalability and reliability. Automate operational tasks to improve developer experience and reduce toil. Enhance observability using Prometheus, Grafana, New Relic, ELK/EFK, or similar tools for monitoring and logging. Enforce security best practices and assist in compliance and disaster recovery planning. Participate in incident response and on-call rotation, ensuring platform stability. Collaborate with developers to optimize infrastructure performance and remove bottlenecks. Mentor and guide junior engineers in best practices for cloud infrastructure, automation, and reliability. Required Skills Qualifications 3-5 years of experience in Platform Engineering, DevOps, or SRE roles. Strong expertise in cloud platforms (AWS preferred), including services like EC2, S3, RDS, Aurora, Redshift, EKS, ECS, Lambda, API Gateway, CloudFront, Route53, and CloudWatch. Proficiency in Infrastructure as Code (IaC) with Terraform or CloudFormation. Hands-on experience with Kubernetes, container orchestration, and cloud-native architectures. Experience with CI/CD tools such as GitHub Actions, ArgoCD, Jenkins, or GitLab CI/CD. Strong automation and scripting skills (Python, Go, or Bash). Knowledge of monitoring, logging, and observability tools (Prometheus, Grafana, New Relic, ELK/EFK, etc.). Experience in incident management, troubleshooting, and performance tuning. Strong problem-solving skills with a focus on scalability and reliability. Excellent communication and collaboration skills. AWS certification is a plus Appen is the global leader in data for the AI Lifecycle with more than 25 years experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.

About Appen Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industrys most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the worlds most innovative artificial intelligence systems and Appen is already trusted by the worlds largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are seeking a Senior DevSec Ops Engineer to lead and enhance the security of our platform infrastructure. This role will be part of the Platform Engineering and Site Reliability Engineering (SRE) team and will work in close collaboration with application engineering teams to ensure security best practices are embedded throughout the development lifecycle. You will be responsible for securing our cloud environments, CI/CD pipelines, and overall platform security posture. Your role will involve proactively identifying security risks, implementing robust security controls, and ensuring compliance with industry standards. Key Responsibilities: Develop and implement security best practices across cloud infrastructure, and application deployments. Work closely with application engineering teams to embed security into infrastructure design, ensuring compliance with security policies and industry standards. Automate security processes, including vulnerability scanning, compliance checks, and threat detection. Secure CI/CD pipelines by integrating security checks, code scanning, and secret management. Conduct security audits, risk assessments, and incident response plans to proactively mitigate potential threats. Implement zero-trust security models, least privilege access, and robust IAM strategies. Establish monitoring and observability frameworks for security events, ensuring quick detection and response to threats. Collaborate with compliance and governance teams to align security practices with regulatory requirements. Educate and advocate security best practices across engineering teams, fostering a security-first culture. Essential Qualifications: Extensive experience in DevSecOps, cloud security, and infrastructure security. Proficiency in securing cloud environments (AWS), Kubernetes, and containerized applications. Hands-on experience with security tooling such as vulnerability scanners (Snyk, Aqua, Trivy), SIEM solutions, and identity management platforms. Strong knowledge of network security, firewalls, and intrusion detection/prevention systems. Experience with policy-as-code tools (OPA, Kyverno) and compliance frameworks (CIS, NIST, ISO 27001, SOC 2). Expertise in automation, scripting (Python, Bash, Go), and infrastructure as code (Terraform, CloudFormation). Familiarity with threat modeling, penetration testing, and incident response processes. Ability to work cross-functionally with engineering, compliance, and leadership teams to drive security initiatives. Desirable Qualifications: Experience in implementing zero-trust security models in cloud environments. Strong understanding of API security, authentication, and authorization mechanisms. Background in forensic analysis, security logging, and monitoring best practices. Knowledge of service mesh security (Istio, Linkerd) and securing microservices architectures. Strong knowledge of AWS security best pratices and General IT security best practices Appen is the global leader in data for the AI Lifecycle with more than 25 years experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.