Signifyd

Senior DevOps Engineer

Belfast, Northern Ireland, United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, SaaSIndustries

About the Role

Signifyd is looking to hire a Senior DevOps Engineer responsible for the design, implementation, and management of our cloud-based infrastructure. You will lead a team of highly skilled engineers in maintaining and automating a vast cloud-based computing environment supporting Signifyd’s decision platform. The candidate will collaborate with development teams and fellow cloud infrastructure engineers to address critical issues. Proficiency in cloud technologies, containers, Kubernetes, networking, security, scripting, automation, and platform engineering, ensuring seamless system operations. The candidate should possess strong technical aptitude, software development skills, analytical and communication skills, and exceptional problem-solving ability.

What You'll Do

  • Collaborate with cross-functional teams to design, build, and maintain highly available, scalable, and secure cloud-based services, promoting efficiency and self-service principles.
  • Develop and maintain automation scripts and tools to streamline infrastructure provisioning, configuration, and deployment, empowering engineering teams.
  • Implement and manage Kubernetes clusters for container orchestration, monitoring, and scaling.
  • Drive an evolution of services to support cloud-native managed services, including an evolution of Kubernetes.
  • Drive efforts to enhance cloud infrastructure security, including access controls, encryption, and vulnerability assessments, focusing on engineering security solutions.
  • Collaborate on CI/CD (TeamCity) pipelines to automate software deployment, including the build platform (Java, Gradle Enterprise) and QA/Testing tooling to drive DevEx up and CFR to zero, emphasizing engineering and self-service automation.
  • Define and maintain cloud engineering best practices and standards to ensure design and implementation consistency.
  • Collaborate with software engineers to optimize applications for cloud deployment, emphasizing performance and scalability.
  • Evaluate emerging cloud and DevOps technologies, providing recommendations for integration into cloud engineering practices.
  • Participate in capacity planning and resource optimization for cost-effective cloud infrastructure usage.
  • Troubleshoot complex engineering issues, provide root cause analysis, and propose engineering-focused solutions.
  • Create and maintain comprehensive documentation related to the cloud infrastructure, engineering practices, and security configurations.
  • Mentor and provide technical guidance to junior team members, fostering a culture of excellence.

What You'll Need

  • Proficiency in cloud platforms (AWS, GCP) with a focus on engineering best practices.
  • Extensive expertise in Kubernetes (self-managed and cloud-managed flavors, architectures, operations, etc.), cloud infrastructure (AWS and GCP), and ideally databases (at least one of MySQL, Cassandra, DynamoDB, or Elasticsearch)
  • Deep knowledge of best practices for cloud environments, including security, cost optimization, operational excellence, reliability, and performance efficiency.
  • In-depth knowledge of networking principles, protocols, and security best practices for high-performance solutions.
  • Strong understanding of DevOps practices, CI/CD pipelines (TeamCity, GitHub Actions, AWS CodePipeline), and infrastructure-as-code tools (e.g., Terraform, Pulumi).
  • Excellent problem-solving skills, effective in a fast-paced, collaborative environment.
  • Excellent experience in Infrastructure-As-Code (IaC) best practices (Terraform).
  • Experience in software development in general, with skills in a high-level language (e.g., Python, JavaScript, TypeScript, Java) and familiarity with modern development practices
  • Understanding of Cloud Observability, Monitoring, and Tracing tools (Datadog, CloudWatch, Jaeger, ELK) and how best to leverage to support effective MTTR and mitigate high CFR

Location Type

Employment Type

Benefits

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension

Skills

Cloud Infrastructure
Kubernetes
Networking
Security
Scripting
Automation
Platform Engineering
CI/CD
TeamCity
Java
Gradle Enterprise
Container Orchestration
Cloud-Native
Access Controls
Encryption
Vulnerability Assessments
Software Development
Problem-Solving

Signifyd

Fraud protection for online retailers

About Signifyd

Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.

Palo Alto, CaliforniaHeadquarters
2011Year Founded
$399.8MTotal Funding
SERIES_ECompany Stage
Cybersecurity, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Flexible Spending Account/Flexible Spending Account
Unlimited Paid Time Off
401(k) Company Match
Stock Options
Annual Performance Bonus
Paid Parental Leave
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Company Social Events

Risks

Rise of 'friendly fraud' challenges Signifyd's financial guarantee model.
'Buy now, pay later' services introduce new fraud types that may evade current detection.
Flexible return policies in Europe could increase return fraud, straining existing strategies.

Differentiation

Signifyd offers a financial guarantee on approved transactions, covering potential fraud costs.
The company uses advanced AI and machine learning for real-time fraud detection.
Signifyd's global reach allows it to serve a diverse range of e-commerce clients.

Upsides

Partnership with Adobe Commerce enhances transaction intelligence and fraud protection capabilities.
$100 million Series D funding supports European market expansion and operational scaling.
Integration with Celerant shifts liability, attracting retailers seeking comprehensive fraud solutions.

Land your dream remote job 3x faster with AI