Ingenjör inom data/elektronik - Lediga jobb

TL;DR You'll secure how Lovable works - the laptops, identities, SaaS apps, and AI tools 250+ Lovables use every day - without slowing anyone down.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 5+ years in corporate, enterprise, or endpoint security at a fast-growing tech company.
• Deep expertise in identity (Google Workspace/Okta/Entra, SSO, SCIM, conditional access), MDM (Jamf/Kandji/Intune), and SaaS security posture (SSPM).
• You can write code (Python, Bash, or Go) and treat policies as software - versioned, tested, deployed.
• Strong instincts for IT risks such as phishing, social engineering, and insider risk - including the new AI-flavored variants.
• Pragmatic about UX. You know when a control is real security and when it's just friction.
• Bonus: experience securing AI tools and agents in the workplace (Claude, ChatGPT, Cursor, et al).
• Bonus: experience managing hardware security keys

What you'll do

• Own the security of Lovable's corporate environment: identity, endpoints, SaaS, email, and the AI tools we live in.
• Roll out and maintain controls that scale - passkeys, device trust, conditional access, DLP, SSPM.
• Run phishing, awareness, and tabletop programs that actually change behavior.
• Work on Detection & Response to make detection of insider and account-takeover risk first-class.
• Secure and optimise our diverse AI toolstack, including Lovable itself, working closely with the product team on feedback and iterations
• Help the Security and GRC teams make least-privilege the default and auditability free.
• Ensure the right data is surfaced to the right people, while implementing data classifications and reducing the risk of data loss

Our Stack

• Devices: macOS, Linux, Kandji, Crowdstrike
• Networking: Tailscale, Cloudflare, Meter, Unifi
• IAM: Google Workspace, Okta, Entra
• Dev tools/data: Lovable, GitHub, BigQuery, various AI tools
• GRC: Vanta, Wiz
• 
  
• About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR You'll be the most senior engineer making sure Lovable's infrastructure is impossible to compromise. Cloud, identity, build pipelines, and runtime - yours to harden.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 8+ years in infrastructure or cloud security, with at least 3 at staff/principal level.
• Deep expertise in GCP, AWS, and Cloudflare security primitives - IAM, network, KMS, workload identity, edge security.
• Hands-on with Kubernetes, Terraform, Wiz, GitHub Actions, and modern CI/CD - and a clear view on supply-chain security (SLSA, sigstore, SBOMs).
• Comfort writing Go, Python, or Rust to ship guardrails as code, not policies as PDFs.
• Track record of measurably reducing blast radius - secrets, lateral movement, prod access - at a high-growth company.
• Bonus: experience securing multi-tenant platforms or LLM/agent-driven infrastructure.

What you'll do

• Set the technical direction for cloud, identity, and build/runtime security at Lovable.
• Design and ship guardrails: workload identity, least-privilege IAM, network segmentation, secrets management, and prod access.
• Harden the supply chain end-to-end - from developer laptop to production deploy.
• Partner with Platform, SRE, and the Lovable Apps Platform team to make the secure path the easy path.
• Mentor engineers across the company and raise the security bar by default, not by review.

Our tech stack

• Frontend: React and Typescript.
• Backend: Golang and Rust.
• Cloud: Cloudflare, GCP, AWS, multiple LLM providers.
• DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
• Data: Clickhouse, Firestore, Spanner, BigQuery.

And we’re always exploring what’s next!

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR:We're looking for an exceptional senior engineer and technical leader for the security team to help make Lovable the most secure AI-powered software creation platform on the planet.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we’re looking for

• 10+ years of engineering experience shipping production-grade products at high velocity, with a track record operating at senior engineering levels.
• Deep, fluent command of React/TypeScript on the frontend and Golang on the backend.
• Experience in one or more of: product security features (audit flows, compliance tooling, scanner interfaces), or code security and static analysis (SAST, linters, vulnerability scanners, or similar).
• Solid understanding of systems design, performance tradeoffs, and scalable architecture.
• Strong product sense - you can take something complex and make it feel simple and actionable for the user.
• Familiarity with AI/LLM-powered tooling, or a background that involved dense algorithmic or systems work.
• You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically.
• You're based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role.

What you’ll do

In one sentence:Build the security features and systems that make Lovable the most trusted AI software creation platform in the world.

• Build security product features end-to-end - audit flows, security scanner UI, compliance tooling, design and implement static analysis and more.
• Integrate AI/LLM capabilities into security workflows to detect, explain, and remediate vulnerabilities.
• Ship across the full stack as part of a small, self-sufficient team, owning your work from the first commit to production.
• Advocate for secure coding practices, conduct security-focused code reviews, and raise the bar across the engineering org.
• Influence our technical direction and product strategy with a security-first mindset.

Our tech stack

• Frontend:React and Typescript.
• Backend:Golang and Rust.
• Cloud:Cloudflare, GCP, AWS, multiple LLM providers.
• DevOps & Tooling:GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
• Data:Clickhouse, Firestore, Spanner, BigQuery.

And we’re always exploring what’s next!

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

RESPONSIBILITIES:

• Design and develop ML models for forecasting, ranking and recommendation systems.
• Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
• Work closely with product teams to determine how model outputs should be integrated and used within the product.
• Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
• Troubleshoot issues across both data pipelines and deployed ML models.
• Develop high-quality, maintainable code in line with established coding practices and conventions.

• Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
• Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
• Has strong hands-on experience with Databricks as well as Python and SQL.
• Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
• Is familiar with modern software development and delivery practices.
• Has experience working in a cloud environment such as Azure, AWS or GCP.

It is not required, but considered a plus if you have:

• Experience with additional cloud-based data or ML technologies.
• Experience contributing to the architecture and development of data platforms.

As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

• Start date: As soon as possible, but considering the notice period.
• Location: Gothenburg.
• Salary: Fixed monthly.
• Employment type: Full-time / Part-time

By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

TL;DR You'll build the detection and response capability that catches attackers before they matter - across Lovable's corporate, production, and AI-agent surfaces.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 8+ years in detection engineering, incident response, or threat hunting, with at least 3 at staff/principal level.
• Strong engineering background - you build detections as code, not as saved searches in a SIEM.
• Deep experience with cloud telemetry (GCP/AWS/Cloudflare), endpoint EDR, identity logs, and modern SIEM/data-lake stacks (Panther, Elastic, Snowflake/Clickhouse).
• Battle-tested incident commander who has led real high-severity incidents from first alert to public post-mortem.
• Adversary-minded: comfortable with MITRE ATT&CK, threat intel, purple-teaming, and red team collaboration.
• Bonus: detection for LLM/agent abuse, prompt injection at scale, or insider risk in AI-augmented engineering orgs.

What you'll do

• Build the detection engineering platform - pipelines, detections-as-code, automated triage, and response playbooks.
• Design and own security incident response process with 24/7 coverage, with a small, high-leverage human and agent team.
• Lead incidents end-to-end: detection, containment, eradication, post-mortem, and follow-through.
• Hunt proactively across corporate, production, and AI-agent surfaces - and turn every finding into a durable detection.
• Define what 'world-class D&R for an AI-native company' looks like, and build it.

Our tech stack

• Frontend: React and Typescript.
• Backend: Golang and Rust.
• Cloud: Cloudflare, GCP, AWS, multiple LLM providers.
• DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
• Data: Clickhouse, Firestore, Spanner, BigQuery.

And we’re always exploring what’s next!

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR You'll secure how Lovable works - the laptops, identities, SaaS apps, and AI tools 250+ Lovables use every day - without slowing anyone down.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 5+ years in corporate, enterprise, or endpoint security at a fast-growing tech company.
• Deep expertise in identity (Google Workspace/Okta/Entra, SSO, SCIM, conditional access), MDM (Jamf/Kandji/Intune), and SaaS security posture (SSPM).
• You can write code (Python, Bash, or Go) and treat policies as software - versioned, tested, deployed.
• Strong instincts for IT risks such as phishing, social engineering, and insider risk - including the new AI-flavored variants.
• Pragmatic about UX. You know when a control is real security and when it's just friction.
• Bonus: experience securing AI tools and agents in the workplace (Claude, ChatGPT, Cursor, et al).
• Bonus: experience managing hardware security keys

What you'll do

• Own the security of Lovable's corporate environment: identity, endpoints, SaaS, email, and the AI tools we live in.
• Roll out and maintain controls that scale - passkeys, device trust, conditional access, DLP, SSPM.
• Run phishing, awareness, and tabletop programs that actually change behavior.
• Work on Detection & Response to make detection of insider and account-takeover risk first-class.
• Secure and optimise our diverse AI toolstack, including Lovable itself, working closely with the product team on feedback and iterations
• Help the Security and GRC teams make least-privilege the default and auditability free.
• Ensure the right data is surfaced to the right people, while implementing data classifications and reducing the risk of data loss

Our Stack

• Devices: macOS, Linux, Kandji, Crowdstrike
• Networking: Tailscale, Cloudflare, Meter, Unifi
• IAM: Google Workspace, Okta, Entra
• Dev tools/data: Lovable, GitHub, BigQuery, various AI tools
• GRC: Vanta, Wiz
• 
  
• About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR You'll be the most senior engineer making sure Lovable's infrastructure is impossible to compromise. Cloud, identity, build pipelines, and runtime - yours to harden.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 8+ years in infrastructure or cloud security, with at least 3 at staff/principal level.
• Deep expertise in GCP, AWS, and Cloudflare security primitives - IAM, network, KMS, workload identity, edge security.
• Hands-on with Kubernetes, Terraform, Wiz, GitHub Actions, and modern CI/CD - and a clear view on supply-chain security (SLSA, sigstore, SBOMs).
• Comfort writing Go, Python, or Rust to ship guardrails as code, not policies as PDFs.
• Track record of measurably reducing blast radius - secrets, lateral movement, prod access - at a high-growth company.
• Bonus: experience securing multi-tenant platforms or LLM/agent-driven infrastructure.

What you'll do

• Set the technical direction for cloud, identity, and build/runtime security at Lovable.
• Design and ship guardrails: workload identity, least-privilege IAM, network segmentation, secrets management, and prod access.
• Harden the supply chain end-to-end - from developer laptop to production deploy.
• Partner with Platform, SRE, and the Lovable Apps Platform team to make the secure path the easy path.
• Mentor engineers across the company and raise the security bar by default, not by review.

Our tech stack

• Frontend: React and Typescript.
• Backend: Golang and Rust.
• Cloud: Cloudflare, GCP, AWS, multiple LLM providers.
• DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
• Data: Clickhouse, Firestore, Spanner, BigQuery.

And we’re always exploring what’s next!

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR:We're looking for an exceptional senior engineer and technical leader for the security team to help make Lovable the most secure AI-powered software creation platform on the planet.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we’re looking for

• 10+ years of engineering experience shipping production-grade products at high velocity, with a track record operating at senior engineering levels.
• Deep, fluent command of React/TypeScript on the frontend and Golang on the backend.
• Experience in one or more of: product security features (audit flows, compliance tooling, scanner interfaces), or code security and static analysis (SAST, linters, vulnerability scanners, or similar).
• Solid understanding of systems design, performance tradeoffs, and scalable architecture.
• Strong product sense - you can take something complex and make it feel simple and actionable for the user.
• Familiarity with AI/LLM-powered tooling, or a background that involved dense algorithmic or systems work.
• You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically.
• You're based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role.

What you’ll do

In one sentence:Build the security features and systems that make Lovable the most trusted AI software creation platform in the world.

• Build security product features end-to-end - audit flows, security scanner UI, compliance tooling, design and implement static analysis and more.
• Integrate AI/LLM capabilities into security workflows to detect, explain, and remediate vulnerabilities.
• Ship across the full stack as part of a small, self-sufficient team, owning your work from the first commit to production.
• Advocate for secure coding practices, conduct security-focused code reviews, and raise the bar across the engineering org.
• Influence our technical direction and product strategy with a security-first mindset.

Our tech stack

• Frontend:React and Typescript.
• Backend:Golang and Rust.
• Cloud:Cloudflare, GCP, AWS, multiple LLM providers.
• DevOps & Tooling:GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
• Data:Clickhouse, Firestore, Spanner, BigQuery.

And we’re always exploring what’s next!

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

RESPONSIBILITIES:

• Design and develop ML models for forecasting, ranking and recommendation systems.
• Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
• Work closely with product teams to determine how model outputs should be integrated and used within the product.
• Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
• Troubleshoot issues across both data pipelines and deployed ML models.
• Develop high-quality, maintainable code in line with established coding practices and conventions.

• Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
• Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
• Has strong hands-on experience with Databricks as well as Python and SQL.
• Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
• Is familiar with modern software development and delivery practices.
• Has experience working in a cloud environment such as Azure, AWS or GCP.

It is not required, but considered a plus if you have:

• Experience with additional cloud-based data or ML technologies.
• Experience contributing to the architecture and development of data platforms.

As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

• Start date: As soon as possible, but considering the notice period.
• Location: Gothenburg.
• Salary: Fixed monthly.
• Employment type: Full-time / Part-time

By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

TL;DR You'll build the detection and response capability that catches attackers before they matter - across Lovable's corporate, production, and AI-agent surfaces.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we're looking for

• 8+ years in detection engineering, incident response, or threat hunting, with at least 3 at staff/principal level.
• Strong engineering background - you build detections as code, not as saved searches in a SIEM.
• Deep experience with cloud telemetry (GCP/AWS/Cloudflare), endpoint EDR, identity logs, and modern SIEM/data-lake stacks (Panther, Elastic, Snowflake/Clickhouse).
• Battle-tested incident commander who has led real high-severity incidents from first alert to public post-mortem.
• Adversary-minded: comfortable with MITRE ATT&CK, threat intel, purple-teaming, and red team collaboration.
• Bonus: detection for LLM/agent abuse, prompt injection at scale, or insider risk in AI-augmented engineering orgs.

What you'll do

• Build the detection engineering platform - pipelines, detections-as-code, automated triage, and response playbooks.
• Design and own security incident response process with 24/7 coverage, with a small, high-leverage human and agent team.
• Lead incidents end-to-end: detection, containment, eradication, post-mortem, and follow-through.
• Hunt proactively across corporate, production, and AI-agent surfaces - and turn every finding into a durable detection.
• Define what 'world-class D&R for an AI-native company' looks like, and build it.

Our tech stack

• Frontend: React and Typescript.
• Backend: Golang and Rust.
• Cloud: Cloudflare, GCP, AWS, multiple LLM providers.
• DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
• Data: Clickhouse, Firestore, Spanner, BigQuery.

And we’re always exploring what’s next!

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.