[Remote] Senior DevSecOps Engineer at Relyance AI

India

Relyance AI Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates should have a track record of building scalable and multi-region infrastructure components on public cloud platforms like GCP, and be comfortable with programming languages such as Python, GoLang, and scripting languages like bash. Familiarity with orchestration platforms like Kubernetes and Airflow, Infrastructure-as-Code technologies like Terraform, and cloud-networking technologies like VPC is expected. Proficiency with public cloud concepts, strong software engineering skills, and a systematic approach to project management are also required. Bonus points for experience leading an engineering team, with privacy technology, startup experience, or an advanced technical degree.

Responsibilities

The Senior DevSecOps Engineer will lead cloud-infrastructure components with a focus on high-availability, scalability, and reliability, defining SLOs and SLIs for microservices. Responsibilities include advocating for engineering best practices, optimizing cloud infrastructure costs, automating deployments using Infrastructure-as-Code, and designing observability and alerting frameworks. The role also involves planning and architecting secure networking topologies, monitoring and resolving vulnerabilities, and setting up secure access policies for the production environment. Additionally, the engineer will shape the direction of infrastructure and foster a team culture of ownership, growth, transparency, and customer focus.

Skills

Cloud Infrastructure
High-Availability
Scalability
Reliability
Service-Level Objectives (SLO)
Service-Level Indicators (SLI)
Infrastructure Security
Infrastructure-as-Code
Networking
Observability
Alerting
Cost Optimization
Automated Testing
Deployment Automation

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters
2020Year Founded
$60.3MTotal Funding
SERIES_BCompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.
Frequent updates needed due to evolving AI regulations increase costs.
Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.
The platform offers asset-level visibility and lineage for sensitive data.
Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.
Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.
Growing demand for AI-driven compliance solutions supports market expansion.

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