Mercura

1 day ago

Staff Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Own core engineering work across multiple products, building shared frameworks and high-leverage systems while guiding cross-product architecture decisions. Spend most of your time writing and shipping production code, eliminating technical debt, and improving reliability, performance, and scalability. Lead through hands-on mentorship via code review and pairing, and contribute to AI systems spanning LLM pipelines and data infrastructure. This is in-person in Munich with outsized technical ownership.

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own the most complex and highest-leverage engineering work across the product suite, building core systems and shared infrastructure.
•Define and evolve cross-product architecture decisions to prevent long-term dead ends.
•Spend most of your time writing and shipping production code, leading by example in difficult areas.
•Improve engineering quality by eliminating technical debt and raising reliability and standards across teams.
•Elevate engineers through code review, pairing, and direct feedback, while contributing to AI systems and data infrastructure.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityGym MembershipRelocation

Key Requirements

•8+ years of software engineering experience solving hard production problems.
•Deep expertise across the stack with strong backend systems, APIs, and infrastructure; comfortable on frontend when needed.
•Proven ability to design and evolve systems across multiple products and teams.
•Experience improving performance, reliability, and scalability at scale.
•Cloud & DevOps fluency: Docker, Azure/AWS/GCP, and Terraform; AI/LLM or large-scale data pipelines experience is a plus.

Experience:8+ yearsAILLMsCloudDevOps

Skills:Technical ownershipMentorshipCode reviewPragmatic decision-makingMission-driven

Tech Stack:PythonReactTypeScriptDockerAzureAWSGCPTerraformLLMsAPIsData pipelines

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Mercura

Mercura.ai builds AI-powered tools and platforms that help businesses extract insights from data, automate workflows, and improve decision-making using machine learning and natural language processing across enterprise use cases.

Industry: AI & Machine Learning

Website

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Mercura

1 day ago

Staff Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own the most complex and highest-leverage engineering work across the product suite, building core systems and shared infrastructure.
•Define and evolve cross-product architecture decisions to prevent long-term dead ends.
•Spend most of your time writing and shipping production code, leading by example in difficult areas.
•Improve engineering quality by eliminating technical debt and raising reliability and standards across teams.
•Elevate engineers through code review, pairing, and direct feedback, while contributing to AI systems and data infrastructure.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityGym MembershipRelocation

Key Requirements

•8+ years of software engineering experience solving hard production problems.
•Deep expertise across the stack with strong backend systems, APIs, and infrastructure; comfortable on frontend when needed.
•Proven ability to design and evolve systems across multiple products and teams.
•Experience improving performance, reliability, and scalability at scale.
•Cloud & DevOps fluency: Docker, Azure/AWS/GCP, and Terraform; AI/LLM or large-scale data pipelines experience is a plus.

Experience:8+ yearsAILLMsCloudDevOps

Skills:Technical ownershipMentorshipCode reviewPragmatic decision-makingMission-driven

Tech Stack:PythonReactTypeScriptDockerAzureAWSGCPTerraformLLMsAPIsData pipelines

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Mercura

Industry: AI & Machine Learning

Website