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Full Stack Software Engineer

AI-powered Carbon Intelligence platform helping enterprises track, manage, and reduce their carbon footprint with precision.
Stockholm, SwedenGothenburg, Sweden
Backend
Mid-Level Software Engineer
Hybrid
AI · Enterprise SaaS
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Description For Full Stack Software Engineer

Bardo Technology is seeking a Full Stack Software Engineer to join their mission of accelerating global decarbonization through their Carbon Intelligence platform. This role sits at the intersection of AI, data processing, and sustainability, offering a unique opportunity to make a meaningful impact on global environmental challenges.

The position offers an exciting blend of technical challenges and purpose-driven work. As a well-funded startup, Bardo provides both the stability and the innovative environment needed to push technological boundaries. You'll be working with cutting-edge tools in AI, UX, and data processing, while having the freedom to explore and experiment with new solutions.

The ideal candidate will be a problem-solver who thrives on complexity and has expertise in MLOps/DevOps and scalable infrastructure. You'll be responsible for building data pipelines, optimizing data flow at scale, and collaborating with AI/machine learning teams. The role involves working with modern tools like Kubernetes, Docker, and various data pipeline technologies.

Key responsibilities include designing scalable infrastructure for AI-driven applications, developing data pipelines, automating workflows, and addressing performance bottlenecks. You'll work closely with AI engineers and ML specialists, contributing to the development of innovative solutions that help businesses reduce their environmental impact while improving profitability.

Bardo offers a flexible/hybrid work environment with offices in Stockholm and Gothenburg, competitive compensation including equity, and the opportunity to work with a passionate team of innovators. Join us in reimagining how businesses gain control over their carbon emissions through the precision of AI and deep data insights.

Last updated 6 months ago

Responsibilities For Full Stack Software Engineer

  • Design and build scalable infrastructure for AI-driven, large-scale data applications
  • Develop and optimize data pipelines using tools like Airbyte, Meltano, Segment, and Singer.io
  • Automate workflows with platforms like Trigger.dev
  • Collaborate with AI engineers and ML specialists to integrate and optimize processes
  • Address performance bottlenecks and enhance system reliability
  • Work with cloud technologies, Kubernetes, Docker, and infrastructure-as-code tools like Terraform
  • Design systems to handle large-scale datasets
  • Research and implement advancements in MLOps, cloud technologies, and scalable infrastructure

Requirements For Full Stack Software Engineer

Kubernetes
  • Experience with MLOps/DevOps and scalable infrastructure
  • Knowledge of data pipelines and data flow optimization
  • Ability to collaborate with engineering and AI/machine learning teams
  • Problem-solving skills and innovation mindset

Benefits For Full Stack Software Engineer

Equity
  • Competitive salary
  • Equity opportunities
  • Work on impactful sustainability projects
  • Opportunity to work with cutting-edge technology
  • Collaborative team environment

Interested in this job?