Overview
Join to apply for the Senior Platform & Software Engineer role at InteractiveAI
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 agents—and soon fine-tune and own their own models.
We value autonomy, speed, and innovation, and we’re 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.
What You’ll Do
- Platform & Application Development : Design, implement, and maintain the microservices and user-facing components that power our platform.
- Infrastructure as Code (IaC) : Architect and maintain our cloud infrastructure using Terraform to define networking, compute, and storage resources on GCP, AWS, or Azure.
- Container Orchestration : Manage and optimize Kubernetes clusters, ensuring high availability, smooth scaling, and efficient rolling updates.
- Data Engineering : Build and optimize data ingestion, warehousing, and caching layers with technologies like Postgres, ClickHouse, and Redis.
- API Design : Develop and maintain high-performance RESTful and GraphQL APIs for internal and external clients, ensuring seamless integrations.
- System Reliability Engineering (SRE) : Implement robust monitoring, alerting, and logging to proactively manage system health and ensure reliability.
- Full-Stack Ownership : Take full ownership of features from conception through to production, addressing both backend and frontend challenges as needed.
- Mentorship & Best Practices : Drive technical excellence and mentor junior engineers, fostering a culture of high standards and continuous improvement.
What We’re Looking For
- 5+ years of professional experience in a platform, backend, or full-stack engineering role, with a strong focus on building and deploying scalable, production-ready systems.
- Expertise with Infrastructure as Code (IaC) tools like Terraform .
- Deep practical experience with Kubernetes and container technologies like Docker .
- Strong proficiency with data stores such as Postgres, ClickHouse , and Redis . This includes schema design, query optimization, and performance tuning.
- Advanced skills in TypeScript and React for building intuitive user interfaces.
- Proven ability to deploy and manage infrastructure on major cloud platforms ( GCP, AWS, or Azure ).
- Solid understanding of CI / CD pipelines, automated testing, and modern release management strategies.
- Strong communication skills in English; able to articulate complex technical decisions clearly and effectively.
Nice-to-Haves
- Experience with machine learning infrastructure (e.g., Kubernetes operators for model serving).
- Familiarity with enterprise security and compliance (IAM, VPC, data encryption).
- Contributions to open-source projects or active participation in tech communities.
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.
- Team Player : You collaborate effectively across disciplines, give and receive feedback constructively, and mentor others.
What You’ll 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)
Interview Process
We keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. Here’s what to expect :
- Intro Call – 30 minutes with our team to align on fit and expectations
- Take-Home Challenge – A practical task based on real-world problems
- Technical Interview – Deep dive into the challenge, technical experience, and DevOps engineering
- Cultural and Values Interview – Discussion on motivation, cultural and value alignment
- Offer – Final conversation and offer
We’re forming a team of builders — people who care about impact, quality, and growth. If that’s you, let’s talk —
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