MARA is redefining the future of sovereign, energy-aware AI infrastructure. We’re building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds.
MARA is seeking a Principal Software Engineer to design and scale the next generation of our Platform-as-a-Service (PaaS) and Data Infrastructure that powers our SaaS products. This role combines deep full-stack engineering expertise with a systems mindset—building reliable, distributed services and automating every layer of delivery.
You will work across architecture, data, and platform domains, leading technical execution for mission-critical systems that support multi-tenant SaaS workloads, real-time analytics, and developer enablement platforms. The ideal candidate is an engineering polyglot—comfortable writing backend services, optimizing data pipelines, designing scalable APIs, and driving automation from code to cloud.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Architect and deliver scalable PaaS and data services that power internal and external SaaS applications.
Design and implement high-performance distributed systems for compute, storage, and streaming workloads.
Lead development of core platform components—identity, telemetry, configuration, and lifecycle management APIs.
Build end-to-end automation across CI/CD, infrastructure provisioning, testing, and deployment pipelines.
Collaborate with data engineering and product teams to integrate analytics, feature stores, and event-driven pipelines into platform architecture.
Design and implement resilient microservices using modern frameworks and best practices (e.g., gRPC, REST, message queues).
Mentor engineers across frontend, backend, and DevOps disciplines; champion engineering excellence, observability, and clean automation.
Establish and enforce technical standards for reliability, scalability, and performance across all PaaS components.
Drive innovation through hands-on prototyping, system design reviews, and cross-functional collaboration with cloud, data, and security teams.
Contribute to open-source tools and internal frameworks that accelerate developer productivity and platform adoption.
QUALIFICATIONS
10+ years of professional experience in software engineering, including full-stack development and distributed systems design.
Proven experience architecting and deploying multi-tenant SaaS or PaaS platforms at scale.
Deep proficiency in at least two programming languages (e.g., Go, Python, TypeScript, Java).
Experience with data platforms and streaming systems (Kafka, Spark, Flink, dbt, Snowflake, Trino, Postgres).
Expertise in container orchestration and microservices (Kubernetes, Helm, service meshes).
Strong background in DevOps practices, CI/CD pipelines, and observability tooling (Prometheus, Grafana, ELK, OpenTelemetry).
Experience implementing API-driven architectures, event-driven systems, and serverless compute patterns.
Familiarity with secure software design, IAM integration, and multi-region deployment strategies.
Excellent communication, problem-solving, and mentorship skills; proven track record of driving technical direction across teams.
PREFERRED EXPERIENCE
Background in HPC, ML infrastructure, or sovereign/regulated environments.
Familiarity with energy-aware computing, modular data centers, or ESG-driven infrastructure design.
Experience collaborating with European and global engineering partners.
Strong communicator who can bridge engineering, business, and vendor ecosystems seamlessly.