Senior DevOps & Solutions Architect
Senior DevOps & Solutions Architect
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Job Description
What Youll Do
As aSenior DevOps & Solutions Architect you will be a key leader in designing building and scaling the core infrastructure that powers our agentic environment. This isnt just about maintaining systems; its about architecting the future of our enterprise-grade AI solutions. You will be a central partner to product teams and client-facing squads providing technical leadership and strategic direction to ensure our platform is robust scalable and secure.
InteractiveAI runs on two high-performance engines: Product Teams that craft and scale our Agentic IDE and Implementation Squads that ship high-impact domain-specific AI solutions. Depending on your craft and ambition youll join the team where you can create outsized valueand youll have a transparent performance-based path to growth and rewards.
- Architect and scale multi-tenant cloud-agnostic runtimes (Kubernetes/GPU clusters) supporting on-prem VPC and hybrid installations.
- Design and implement secure end-to-end CI/CD pipelines for automating complex ML workflows from data ingestion and fine-tuning (LoRA/QLoRA) to secure high-stakes deployments.
- Provide solutions architecture expertise by partnering with product and client performance squads to accelerate the journey of custom agents from sandbox ( 5 days) to production (46 weeks) meeting tight SLAs.
- Lead the adoption of infrastructure-as-code best practices using tools like Terraform Ansible or similar.
- Define and manage the strategy for our containerized workloads (Docker Kubernetes etc.) to optimize for performance cost and reliability.
- Establish and enforce security compliance and data governance standards particularly for enterprise clients.
- Mentor junior engineers and provide strategic guidance on infrastructure design incident response and system reliability.
What Were Looking For
Minimum Requirements:
- 5 years of experience in DevOps Site Reliability or Infrastructure Engineering roles with at least 2 years in a solutions or systems architect capacity.
- Proven experience deploying and managing complex AI/ML production workloads on at least one major public cloud (e.g. AWS GCP or Azure).
- Extensive experience designing deploying and managing robust resilient and distributed cloud solutions at scale.
- Deep expertise in containerization and orchestration (Docker Kubernetes).
- Strong track record of building and managing advanced CI/CD pipelines for complex software and ML lifecycles.
- Expert-level proficiency with infrastructure-as-code tools (Terraform CloudFormation or Pulumi).
- Strong scripting and automation skills (Python Bash or similar).
- Extensive experience with monitoring and logging stacks (e.g. Prometheus Grafana ELK).
- Exceptional communication and collaboration skills with a proven ability to lead and influence cross-functional teams.
- Experience with ML/AI-specific infrastructure and MLOps tooling (e.g. MLflow Weights & Biases).
- Demonstrated experience implementing security practices and compliance frameworks (e.g. GDPR ISO 27001) in highly regulated environments.
- Previous work in enterprise-grade or highly regulated industries is a significant plus.
What Youll Get
- Competitive base salary performance bonuses.
- Future equity opportunity for high performers.
- Private health insurance.
- Flexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid).
- 25 days of holidays/paid time off (excluding local public holidays).
Who You Are
- Proactive & Resourceful: You take initiative to identify gaps and drive solutions without waiting for instructions.
- Accountable & High-Ownership: You treat our codebase and infrastructure as your own and you honor commitments.
- Entrepreneurial Mindset: You thrive in ambiguity embrace rapid change and deliver in a high-paced startup setting.
- Architectural Leader: You can translate business needs into technical solutions and provide clear architectural vision.
- Team Player: You collaborate effectively across disciplines give and receive feedback constructively and mentor others.
Interview Process
- Intro Call 30 minutes with our team to align on fit and expectations.
- Take-Home Challenge A practical real-world architecture design task.
- Technical Interview Deep dive into the challenge technical expertise and architectural philosophy.
- Cultural and Values Interview Discussion on motivation cultural and value alignment.
- Offer Final conversation and offer.
About us
InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.
We are building the next generation of enterprise-AI solutions delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.
Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agentsand soon fine-tune and own their own models.
We value autonomy speed and innovation and were building a world-class team to match. Our squads are lean focused and execution-driven.
If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes this is for you.
Required Experience:
Senior IC
Employment Type
Full-Time
