Endeavour has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Senior Security Engineer working directly with Endeavour’s IT team and focusing on troubleshooting technical issues, providing solutions, enhancing existing technology stack and implementing new infrastructure into our ecosystem. This role is part of the support team that services the entire our Endeavour ecosystem and contributes to the overall health and success of the organization.

The Senior Security Engineer needs to be agile, professional, and comfortable in a rapidly changing environment. The right person is trustworthy with confidential information, highly organized, self-motivated, has excellent communication skills, can think strategically, and works equally as well independently as with a team.

Endeavour is highly selective about the people we bring on board because our ecosystem depends on it. Change happens quickly here, and we must maintain a strong team of honest, communicative, collaborative, open-minded, strategic, reliable, and driven team members. We seek ultra-creatives and superstar performers with self-awareness, a sense of humility, and a hunger to make a positive impact in the world. Endeavour offers flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Our support team is the heart of the ecosystem. We’re a diverse group of bright, passionate, dedicated people, working together to make a real difference. Are you ready to join the journey?

Key Responsibilities

Include but are not limited to:

• Lead security operations initiatives focused on securing modern software development pipelines, CI/CD platforms, and cloud-native DevOps environments.
• Partner with engineering and DevOps teams to embed security controls into the Software Development Life Cycle (SDLC) using Dev/SecOps best practices.
• Design, implement, and monitor security controls for source code repositories, build systems, artifact management platforms, and deployment pipelines.
• Conduct threat modeling, risk assessments, application pen testing, and security reviews for internally developed applications, APIs, and automation platforms.
• Develop and maintain detection and response capabilities for software supply chain threats, credential misuse, pipeline compromise, and cloud workload attacks.
• Manage vulnerability management processes for applications, containers, infrastructure-as-code, open-source dependencies, and CI/CD tooling.
• Implement automated security scanning tools including SAST, DAST, SCA, IaC scanning, and container security solutions.
• Monitor security events across cloud platforms, developer tooling, SaaS environments, and production systems using SIEM/XDR technologies.
• Investigate and respond to security incidents involving applications, DevOps tooling, cloud environments, and identity platforms.
• Establish security standards for AI/ML systems including model governance, secure API usage, data protection, and responsible AI controls.
• Assess and mitigate emerging AI-related risks such as prompt injection, model abuse, data leakage, shadow AI usage, and unauthorized automation.
• Evaluate, implement, and secure enterprise AI tools to improve SecOps efficiency, threat detection, alert triage, and incident response workflows.
• Build automation scripts and workflows to streamline repetitive security operations tasks and improve response times.
• Collaborate with developers to remediate security findings quickly while balancing operational efficiency and release velocity.
• Create dashboards, metrics, and reporting for security posture across DevOps pipelines, application environments, and AI platforms.
• Stay current on evolving threats related to software supply chain security, cloud platforms, DevOps ecosystems, and artificial intelligence technologies.
• Other duties as assigned.

Skills & Requirements

Education / Experience

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Software Engineering, or related field required; equivalent professional experience may be considered.
• 5+ years of experience in Security Operations, Cybersecurity Engineering, DevSecOps, or related information security roles.
• Hands-on experience securing CI/CD pipelines, source code repositories, cloud environments, and modern software development platforms.
• Experience with security tools such as vulnerability management, SIEM, endpoint detection, SAST/DAST, container security, and infrastructure-as-code scanning.
• Strong knowledge of cloud platforms such as Amazon Web Services AWS, Microsoft Azure, or Google Google Cloud.
• Experience with automation or scripting using Python, PowerShell, Bash, or similar languages, with familiarity securing or governing AI tools and platforms preferred.

Specific Skills / Abilities

• Critical Thinker
• Work in a fast-paced environment
• Solve complex problems
• Strategies and scale ideas and solutions
• Trustworthy and reliable
• Self-Starter and ability to work independently
• Ability to work with technical and non-technical staff
• Strong written and verbal communication skills
  
  

Great Place to Work

Enjoy…
A fast-paced, entrepreneurial culture focused on innovation.
A flexible, autonomous work environment.
A culture of respect, learning, and excellence.
Experienced, highly talented experts as team peers.
Growth and travel opportunities.
A team of change-makers having a significant impact on people and the planet.

About Endeavour

Endeavour is the main hub—a self-sustaining incubation platform for innovation—within a larger ecosystem focused on sustainable infrastructure. It provides the space, time, and resources necessary to take advanced technologies from ideation through development to launch. Our teams are working hard to decentralize infrastructure and deploy innovative energy, water, and waste treatment solutions that are more sustainable and more profitable than those currently in existence. Our aim is to guarantee clean water and renewable energy to everyone, everywhere. We’re passionate change-makers who want to leave the world better than the way we found it. There is a strong sense of camaraderie between good-natured people who bring their A-game to work, every day, to make a difference. To work at Endeavour is to know that you are part of something special—something bigger than yourself.

Today, we’re deploying solutions that are immediately scalable and profitable, including EV charging, data center cooling, and waste to fuel systems. As we look to the future, Endeavour intends to remain at the forefront of innovation, taking on grander challenges based on the needs of our clients and of local economies. We hope that our Sustainable Habitat for Innovation towards a Purpose (SHIP) will be a model that inspires people and businesses to join the journey so that together we can combine the best of what technology and the natural world can offer to ensure a regenerative/sustainable world for generations to come.  Are you ready to #JoinTheJourney?

Position: Senior Security Engineer
Full-Time or Part-Time: Full-Time
Reports to: Director of Global IT DevOps & AI Infrastructure
Location: United States (Remote)

Contact: recruiting@endeavourii.com

Endeavour has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Systems & AI Cloud Architect working directly with Endeavour’s IT team and focusing on troubleshooting technical issues, providing solutions, enhancing existing technology stack and implementing new infrastructure into our ecosystem. This role is part of the support team that services the entire our Endeavour ecosystem and contributes to the overall health and success of the organization.

The Systems & AI Cloud Architect needs to be agile, professional, and comfortable in a rapidly changing environment. The right person is trustworthy with confidential information, highly organized, self-motivated, has excellent communication skills, can think strategically, and works equally as well independently as with a team.

Endeavour is highly selective about the people we bring on board because our ecosystem depends on it. Change happens quickly here, and we must maintain a strong team of honest, communicative, collaborative, open-minded, strategic, reliable, and driven team members. We seek ultra-creatives and superstar performers with self-awareness, a sense of humility, and a hunger to make a positive impact in the world. Endeavour offers flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Our support team is the heart of the ecosystem. We’re a diverse group of bright, passionate, dedicated people, working together to make a real difference. Are you ready to join the journey?

Key Responsibilities

Include but are not limited to:

• Define and maintain the enterprise architecture strategy, standards, and roadmaps for business intelligence, software engineering, DevOps, cloud platforms, and AI capabilities aligned to business goals.
• Lead the design of scalable, secure, and resilient application architectures across on-premises, hybrid, and cloud environments.
• Establish engineering best practices for modern software delivery, including microservices, APIs, event-driven architecture, and platform engineering.
• Create governance frameworks and architectural guardrails to ensure compliance, cybersecurity, scalability, cost optimization, and technical consistency.
• Architect enterprise AI & business intelligence solutions including machine learning, generative AI, copilots, intelligent automation, and data-driven decision support systems.
• Define AI integration patterns for business applications, APIs, data platforms, and workflow automation tools.
• Ensure responsible AI practices including model governance, privacy, security, explainability, and risk management as pertains to enterprise architecture strategy
• Collaborate with data engineering and analytics teams to establish architectures supporting data pipelines, model training, inference, and MLOps processes.
• Lead modernization efforts for legacy applications through re-platforming, refactoring, containerization, and cloud migration strategies.
• Provide technical leadership, mentoring, and architectural guidance to business stakeholders, engineers, architects, and delivery teams.
• Develop reference architectures, technical standards, and reusable patterns that accelerate delivery across the enterprise.
• Facilitate architecture reviews, solution assessments, and technology selection processes for major initiatives.
• Monitor industry trends and benchmark enterprise capabilities in software engineering, DevOps maturity, cloud adoption, and AI innovation.
• Influence executive stakeholders by translating complex technical concepts into business value, investment priorities, and transformation roadmaps.
• Support vendor evaluations, contract reviews, and strategic partnerships for enterprise technology platforms and AI solutions.
• Other duties as assigned.

Skills & Requirements

Education / Experience

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field required; Master’s degree preferred.
• 10+ years of progressive IT experience with at least 5+ years in enterprise architecture, solution architecture, or senior engineering leadership roles.
• Proven experience designing and implementing large-scale enterprise software systems, cloud platforms, and modern application architectures.
• Strong hands-on experience with DevOps practices including CI/CD, infrastructure as code, automated testing, containerization, and release automation.
• Demonstrated experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
• Experience leading enterprise modernization initiatives involving legacy transformation, cloud migration, API strategy, and platform engineering.
• Proven knowledge of AI/ML technologies including generative AI, machine learning lifecycle management, MLOps, and AI governance frameworks.
• Experience integrating AI capabilities into enterprise applications, workflows, and business processes.
• Strong understanding of cybersecurity principles, identity management, data privacy, and regulatory compliance requirements.
• Experience with enterprise architecture frameworks such as TOGAF, Zachman, or similar methodologies preferred.
• Background leading cross-functional teams and influencing senior executives, business leaders, and technical stakeholders.
• Experience managing vendor relationships, technology evaluations, and strategic platform selection processes.
• Relevant certifications preferred (e.g., cloud architect certifications, DevOps certifications, AI/ML certifications, TOGAF).

Specific Skills / Abilities

• Critical Thinker
• Work in a fast-paced environment
• Solve complex problems
• Strategies and scale ideas and solutions
• Trustworthy and reliable
• Self-Starter and ability to work independently
• Ability to work with technical and non-technical staff
• Strong written and verbal communication skills

Great Place to Work

Enjoy…

A fast-paced, entrepreneurial culture focused on innovation.
A flexible, autonomous work environment.
A culture of respect, learning, and excellence.
Experienced, highly talented experts as team peers.
Growth and travel opportunities.
A team of change-makers having a significant impact on people and the planet.

About Endeavour

Endeavour is the main hub—a self-sustaining incubation platform for innovation—within a larger ecosystem focused on sustainable infrastructure. It provides the space, time, and resources necessary to take advanced technologies from ideation through development to launch. Our teams are working hard to decentralize infrastructure and deploy innovative energy, water, and waste treatment solutions that are more sustainable and more profitable than those currently in existence. Our aim is to guarantee clean water and renewable energy to everyone, everywhere. We’re passionate change-makers who want to leave the world better than the way we found it. There is a strong sense of camaraderie between good-natured people who bring their A-game to work, every day, to make a difference. To work at Endeavour is to know that you are part of something special—something bigger than yourself.

Today, we’re deploying solutions that are immediately scalable and profitable, including EV charging, data center cooling, and waste to fuel systems. As we look to the future, Endeavour intends to remain at the forefront of innovation, taking on grander challenges based on the needs of our clients and of local economies. We hope that our Sustainable Habitat for Innovation towards a Purpose (SHIP) will be a model that inspires people and businesses to join the journey so that together we can combine the best of what technology and the natural world can offer to ensure a regenerative/sustainable world for generations to come.  Are you ready to #JoinTheJourney?

Position: Systems & AI Cloud Architect
Full-Time or Part-Time: Full-Time
Reports to: Director of Global IT DevOps & AI Infrastructure
Location: United States (Remote)

Contact: recruiting@endeavourii.com

Opportunity

Endeavour has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Director of Global IT DevOps & AI Infrastructure to take full ownership of how technology is built, deployed, secured, and scaled across the organization. This role is part of the support team that services the entire our Endeavour ecosystem and contributes to the overall health and success of the organization. This role goes beyond traditional IT. You will define and lead the end-to-end lifecycle of AI-powered digital products - from early-stage prototypes built in rapid-development environments to fully productionized, secure, and globally scalable platforms. 

You will serve as the bridge between innovation and execution, ensuring that ideas don’t stall in experimentation but are operationalized into resilient, enterprise-grade systems - while also building and leading the teams, financial models, and integration strategies required to sustain long-term growth.

The Director of Global IT DevOps & AI Infrastructure needs to be agile, professional, and comfortable in a rapidly changing environment. The right person is trustworthy with confidential information, highly organized, self-motivated, has excellent communication skills, can think strategically, and works equally as well independently as with a team.

Endeavour is highly selective about the people we bring on board because our ecosystem depends on it. Change happens quickly here, and we must maintain a strong team of honest, communicative, collaborative, open-minded, strategic, reliable, and driven team members. We seek ultra-creatives and superstar performers with self-awareness, a sense of humility, and a hunger to make a positive impact in the world. Endeavour offers flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Our support team is the heart of the ecosystem. We’re a diverse group of bright, passionate, dedicated people, working together to make a real difference. Are you ready to join the journey?

Key Responsibilities

DevOps Ownership & Productionization of AI Systems 

• Lead the DevOps Strategy: Own the end-to-end strategy including CI/CD pipelines, infrastructure-as-code (IaC), automated testing, and release management across all environments. 
• Standardize Development Pathways: Design and enforce a standardized path from prototype to staging to production, specifically for AI-generated applications, low-code/no-code platforms (e.g., Lovable), and internal experimentation environments. 
• Establish Frameworks: Drive versioning, monitoring, rollback, and observability across both AI and traditional applications. 
• Implement Scalable Deployment Patterns: Utilize containers, serverless architectures, and microservices to support rapid iteration without sacrificing stability.  

AI Platform Scaling & Lifecycle Management 

• Manage the AI Lifecycle: Architect prompt engineering environments, model orchestration, API integrations, and validation pipelines. 
• Evolve Prototypes: Define the pathway for AI prototypes to become internal tools, client-facing applications, and public-facing digital platforms. 
• Establish Governance: Build frameworks for model usage, cost control, performance monitoring, and output reliability. 
• Partner for Success: Collaborate with stakeholders to ensure AI solutions are production-ready, auditable, and aligned with business goals.  

Cloud Architecture & Infrastructure Engineering 

• Optimize Cloud Environments: Own global cloud infrastructure (primarily Microsoft Azure) to ensure high availability, security, compliance, and horizontal scalability. 
• Design for Data: Architect infrastructure that supports data-intensive workloads, spatial systems, and AI-driven applications. 
• Build Resilient Systems: Ensure infrastructure is capable of supporting global users, partners, and mission-critical operations.  

AI Security & Enterprise Governance 

• Secure AI Usage: Establish secure enterprise environments with data isolation, sandboxing, role-based access controls (RBAC), and secure API orchestration. 
• Protect Critical Assets: Define governance policies that protect proprietary infrastructure designs and sensitive client/operational data. 
• Ensure Compliance: Stay ahead of evolving standards regarding AI usage, data privacy, and enterprise risk management.  

Team Leadership & Organizational Development 

• Build and Lead High-Performing Teams: Recruit, develop, and scale global DevOps, cloud engineering, and AI infrastructure teams, fostering a culture of accountability, innovation, and operational excellence. 
• Define Operating Models: Establish clear roles, workflows, and performance expectations across distributed teams, contractors, and external partners. 
• Mentor and Develop Talent: Provide hands-on leadership, coaching, and career development for technical team members, ensuring long-term capability growth. 
• Cross-Functional Leadership: Act as a key partner to product, engineering, and business leaders to align technical execution with company priorities.  

Budget Ownership & Financial Management 

• Own the Technology Budget: Develop and manage the global IT DevOps and cloud infrastructure budget, including forecasting, cost optimization, and vendor management. 
• Optimize Cloud & AI Spend: Implement cost governance strategies across cloud platforms, AI tooling, and third-party services to ensure efficient scaling. 
• Vendor & Partner Management: Evaluate, negotiate, and manage relationships with technology vendors, SaaS providers, and infrastructure partners. 
• ROI-Driven Decision Making: Ensure all infrastructure and AI investments are aligned with measurable business outcomes and scalability goals.  

Integration Strategy & Systems Architecture 

• Lead Enterprise Integration Strategy: Define and oversee integration architecture across internal systems, third-party platforms, and partner ecosystems. 
• API & Data Ecosystem Ownership: Ensure seamless interoperability between AI platforms, ERP/supply chain systems, data visualization tools, and spatial technologies.
• Enable Scalable Data Flows: Architect reliable, secure, and real-time data pipelines that support both operational systems and AI-driven insights. 
• Reduce Technical Fragmentation: Standardize integration patterns, tools, and governance to minimize redundancy and improve system cohesion across the organization.  

Global Collaboration & Asset Ownership 

• Platform Enablement: Architect identity, access, and collaboration systems for a globally distributed workforce, ensuring seamless interaction between internal teams, partners, clients, and vendors.  
• Digital Infrastructure Ownership: Take full command of domain registries, DNS architecture, SSL lifecycle management, global routing, and web infrastructure.  
• Performance Assurance: Ensure all digital assets are secure, performant, and scalable across regions.  

Education and Experience

• 7+ years in IT DevOps, AI infrastructure or cloud engineering
• 3+ years of leadership experience
• Bachelor’s or Master’s degree in Information Technology, Computer Science, Business Management, or a related field.
• Proven DevOps & Scaling Leadership: Experience owning DevOps and infrastructure in environments scaling from startup to enterprise ($100M–$1B+), with a track record of taking products from MVP to production-grade systems. 
• Team Leadership Experience: Demonstrated success building and leading high-performing global engineering or infrastructure teams in fast-paced environments. 
• Financial & Budget Ownership: Experience managing technology budgets, optimizing cloud spend, and aligning investments with business outcomes. 
• Deep Technical Expertise: Strong, hands-on experience with Microsoft Azure (or equivalent cloud platforms), CI/CD pipelines, containers, IaC, networking, DNS, and distributed systems. 
• Integration & Systems Thinking: Experience managing complex integrations across APIs, data visualization platforms, and ERP/supply chain technologies. 
• Strategic & Hands-On Operator: Capable of operating at an executive, architectural level while remaining comfortable rolling up your sleeves to build systems from scratch.  

Specific Skills / Abilities

• AI Ecosystem Fluency: Proven ability to operationalize LLMs, AI platforms, and rapid-development (low-code/no-code) ecosystems within an enterprise, deeply understanding AI reliability, evaluation, and scaling challenges.  
• Strategic & Hands-On Operator: Capable of operating at an executive, architectural level while remaining comfortable rolling up your sleeves to build systems from scratch.  
• Mission Alignment: Deeply motivated by applying technology and AI to solve real-world challenges in global water and energy infrastructure. 

About Endeavour

Endeavour is taking on global challenges, and to create the appropriate global solutions is not easy. Our teams work extremely hard because we believe in Endeavour’s mission: to guarantee clean water and renewable energy to everyone, everywhere by decentralizing infrastructure, developing new technologies, & deploying energy, water, and waste treatment solutions that are more profitable than those that currently exist. We are a group of passionate change-makers who want to leave the world better than the way we found it. Endeavour prides itself on hiring talented, highly motivated people because that’s what our mission requires. There is a strong sense of camaraderie between good-natured people who bring their A-game to work every day to make a difference. To work at Endeavour is to know that you are part of something special—something bigger than yourself.

Position: Director of Global IT DevOps & AI Infrastructure

Full-Time or Part-Time: Full-Time

Reports to: Founder & CEO

Location: Remote - US