Job VC
R&D Infrastructure Engineer (#1153)
Technologies
Description
Location: Remote
Your expertise:
Strong hands-on TypeScript experience; additional fluency in Go / Python / Java is a plus
Good understanding of SQL and NoSQL databases, message brokers, and their operational principles
Distributed systems: principles, common patterns, failure modes
Strong Linux skills: provisioning, bash scripting, patching, troubleshooting
Solid networking: TCP / IP, DNS, TLS, HTTP semantics, load balancing, PCs / subnets / routing
Proficient with Git
Mastery of at least one major cloud (AWS, GCP, or Azure); strong AWS experience is preferred since it’s our primary platform
Proficient with Docker; production experience with Kubernetes (preferred), ECS, or similar
Strong Terraform skills and fluency with Infrastructure-as-Code
Proficient CI / CD experience; Jenkins preferred. Familiarity with GitHub Actions is a plus
Observability fundamentals: logs, metrics, traces; comfort with at least one stack OpenSearch / ELK, Prometheus / Grafana, CloudWatch)
Understanding of unit / integration testing and how to integrate automated quality gates into delivery flows
Understanding of security basics: cryptography, authentication & authorization protocols, application security
Practical experience with secret management (Vault or equivalent)
Supply-chain security awareness: dependency pinning, signing, SBOMs, CVE triage and remediation
Hands-on experience with agentic AI coding tools (Claude Code, Cursor, or equivalent) as a regular part of your delivery workflow
Working understanding of the Model Context Protocol (MCP) — integrating MCP servers and, ideally, building them to expose internal systems to AI agents
Familiarity with agent skills as a way to package and reuse engineering knowledge across the team
Intermediate written English
Clear written and verbal communication across teams
Ability to work both autonomously and collaboratively
Will definitely be a plus:
Deep Jenkins knowledge: shared libraries, plugins, configuration-as-code
Experience building Terraform providers
Experience handling security vulnerabilities across OS, web, and application layers, including remediation
Practical experience with cloud security tools/services
What’s in it for you?
Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
Decent market rate compensation depending on experience and skills
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
“You build it, you own it” mentality in most contexts
Support of personal and professional development
coverage of costs of external trainings, conferences, professional literature
support of experienced colleagues
in-house events and trainings
regular knowledge sharing in teams
English classes and speaking clubs
Life-balance support
truly flexible schedule, no time-tracking at all
25 working days of vacation
5 days of paid sick leave per month (if necessary) without providing a medical certificate
generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
Work closely with DevOps, Architecture, SRE, DBA, and product engineering teams
Implement, maintain, and evolve internal software, CI / CD pipelines, AWS infrastructure, and Terraform modules
Contribute production code to internal CI / CD platform, infrastructure tooling, and security tooling
Build and maintain MCP servers, agent skills, and internal integrations that bring AI agents safely into our engineering workflows
Evaluate emerging tooling (agentic AI and otherwise), pilot it, and drive adoption where it delivers measurable value
Participate in DevOps on-call shifts
Review code and share knowledge with teammates
Contribute to security standards and practices; analyze and remediate findings
Write and maintain technical documentation
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (
www.namecheap.com
). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.
Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
R&D aims to keep our engineering organization operating at the state of the art — evaluating, adopting, and building the tooling that pushes us forward. That increasingly includes agentic AI development workflows that are reshaping how software is built and operated.
The team is 4 people and sits inside the broader DevOps organization. You will solve challenging problems, ship infrastructure that the whole engineering org depends on, and contribute production code to the internal systems we own.
Your expertise:
Strong hands-on TypeScript experience; additional fluency in Go / Python / Java is a plus
Good understanding of SQL and NoSQL databases, message brokers, and their operational principles
Distributed systems: principles, common patterns, failure modes
Strong Linux skills: provisioning, bash scripting, patching, troubleshooting
Solid networking: TCP / IP, DNS, TLS, HTTP semantics, load balancing, PCs / subnets / routing
Proficient with Git
Mastery of at least one major cloud (AWS, GCP, or Azure); strong AWS experience is preferred since it’s our primary platform
Proficient with Docker; production experience with Kubernetes (preferred), ECS, or similar
Strong Terraform skills and fluency with Infrastructure-as-Code
Proficient CI / CD experience; Jenkins preferred. Familiarity with GitHub Actions is a plus
Observability fundamentals: logs, metrics, traces; comfort with at least one stack OpenSearch / ELK, Prometheus / Grafana, CloudWatch)
Understanding of unit / integration testing and how to integrate automated quality gates into delivery flows
Understanding of security basics: cryptography, authentication & authorization protocols, application security
Practical experience with secret management (Vault or equivalent)
Supply-chain security awareness: dependency pinning, signing, SBOMs, CVE triage and remediation
Hands-on experience with agentic AI coding tools (Claude Code, Cursor, or equivalent) as a regular part of your delivery workflow
Working understanding of the Model Context Protocol (MCP) — integrating MCP servers and, ideally, building them to expose internal systems to AI agents
Familiarity with agent skills as a way to package and reuse engineering knowledge across the team
Intermediate written English
Clear written and verbal communication across teams
Ability to work both autonomously and collaboratively
Will definitely be a plus:
Deep Jenkins knowledge: shared libraries, plugins, configuration-as-code
Experience building Terraform providers
Experience handling security vulnerabilities across OS, web, and application layers, including remediation
Practical experience with cloud security tools/services
What’s in it for you?
Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
Decent market rate compensation depending on experience and skills
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
“You build it, you own it” mentality in most contexts
Support of personal and professional development
coverage of costs of external trainings, conferences, professional literature
support of experienced colleagues
in-house events and trainings
regular knowledge sharing in teams
English classes and speaking clubs
Life-balance support
truly flexible schedule, no time-tracking at all
25 working days of vacation
5 days of paid sick leave per month (if necessary) without providing a medical certificate
generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
Work closely with DevOps, Architecture, SRE, DBA, and product engineering teams
Implement, maintain, and evolve internal software, CI / CD pipelines, AWS infrastructure, and Terraform modules
Contribute production code to internal CI / CD platform, infrastructure tooling, and security tooling
Build and maintain MCP servers, agent skills, and internal integrations that bring AI agents safely into our engineering workflows
Evaluate emerging tooling (agentic AI and otherwise), pilot it, and drive adoption where it delivers measurable value
Participate in DevOps on-call shifts
Review code and share knowledge with teammates
Contribute to security standards and practices; analyze and remediate findings
Write and maintain technical documentation
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (
www.namecheap.com
). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.
Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
R&D aims to keep our engineering organization operating at the state of the art — evaluating, adopting, and building the tooling that pushes us forward. That increasingly includes agentic AI development workflows that are reshaping how software is built and operated.
The team is 4 people and sits inside the broader DevOps organization. You will solve challenging problems, ship infrastructure that the whole engineering org depends on, and contribute production code to the internal systems we own.