Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

This position is open to applicants based in the US and located in an Eastern time zone.

The Challenge to Solve

How do mom-and-pop pizzerias survive and win in a world of big-budget pizza chains and third-party apps? This is the challenge you’ll help solve at Slice. Local pizzerias already outperform the big chains in offline sales, yet are outsold 20-to-1 online – a gap we’re determined to close. We operate at the intersection of high stakes and local community: our mission is to level the playing field for small businesses by providing them with the technology and capabilities that rival those of the biggest players. When a shop partners with Slice, our goal is that it feels “as if they’ve just hired 1,000 people” to support their business. As an engineer on our team, you’ll seek out bold, asymmetric opportunities to create these outsized impacts for our restaurant partners and the millions of customers they serve. It’s not just about writing code – it’s about writing the future of local pizza.

What You'll Do

As a Software Developer on our Services team, you will immerse yourself in our ambitious mission and take on a wide range of responsibilities to drive customer impact. Specifically, you will:

• Build innovative features & services: Design, code, and launch new backend features that help our restaurant partners operate more efficiently and deliver exceptional, seamless experiences to their customers. Your work will directly enhance real-world interactions between shops and pizza lovers every day.
• Identify game-changing opportunities: Constantly look for asymmetric opportunities where a small technical change can deliver disproportionate value. You’ll use your creativity and entrepreneurial mindset to find 10x solutions that delight users and give our partners an edge.
• Own projects end-to-end: Take ownership of initiatives from concept through production. You’ll work closely with product, design, and other teams to define solutions, execute rapidly, and iterate based on feedback. When you see a problem, you don’t wait - you tackle it.
• Use the best tools for the job: While our primary stack is Python (Flask), we embrace any technology that delivers value. You might rewrite a microservice from Go to Python, craft a script in Ruby, or leverage a new cloud service – whatever it takes to solve the task at hand in a scalable way.
• Collaborate in a small, agile team: Work alongside a tight-knit team of 5 to 8 backend engineers (across the US, UK, and Europe) who are as passionate about the mission as you are. Together, you will review code, brainstorm ideas, and push each other to raise the bar while maintaining a fun, supportive atmosphere.
• Ensure quality and performance at scale: Employ best practices in coding, testing, monitoring, and DevOps to ensure our services are reliable and performant. You build it, you own it - from writing unit tests to fine-tuning logging and alerting, you’ll make sure your code runs smoothly in production.

The Winning Recipe

We’re looking for bold, founder-like engineers who aren’t afraid to challenge the status quo and build products that make a real difference. If you’re an unconventional thinker and a highly productive doer, you’ll feel right at home. The ideal candidate has:

• Owner’s mindset: You think like a founder. You take initiative, own problems end-to-end, and move with urgency to deliver results. Obstacles energize you, and you thrive in a fast-paced, ambiguous startup environment where your decisions drive real impact.
• Proven builder: You have solid experience crafting scalable backend systems in Python (Flask) and working with databases and cloud services. You’re comfortable diving into monitoring and logging tools to keep systems healthy. More importantly, you’re technology-agnostic – you quickly pick up new languages or frameworks (Go, Ruby, or whatever is needed) to solve problems effectively.
• Remote-ready collaborator: You excel at working on a distributed team and communicating asynchronously. You’re comfortable collaborating with teammates across different time zones and backgrounds, and you know how to stay connected and communicative in a remote work setting.
• Product & customer focus: You care deeply about the why behind your code. You can clearly express opinions on product direction and design, always keeping the end-customer and restaurant owner in mind. At the same time, you respect others’ perspectives and believe the best ideas can come from anywhere.
• Innovative problem solver: You love finding creative solutions to hard problems. Words like “impossible” or “uncharted” fuel your curiosity. You seek out those asymmetric win scenarios and aren’t afraid to experiment, adapt, and iterate to achieve a better outcome for users.

If you’ve ever dreamed of building something big, scrappy, and impactful – and you have the skills to back it up – we want to meet you!

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Flexible PTO
• Market leading medical, vision and dental insurance
• 401K matching up to 4%
• Monthly wellness reimbursement/stipend
• Weekly pizza stipend (Yes, that’s a thing!)

Salary Range: $140k to $155k + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

The Hiring Process

Here’s what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 1-3 weeks to complete and you’d be expected to start on a specific date.

• Application
• 30 minute introductory meeting
• 90 minute Live Coding Interview & 60 minute Technical Interview
• 30 minute Hiring Manager meeting
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

This position is open to applicants based in Canada in the Ontario province.

There are several openings within our Services team so we welcome applications from candidates seeking associate, intermediate or senior level positions.

The Challenge to Solve

How do mom-and-pop pizzerias survive and win in a world of big-budget pizza chains and third-party apps? This is the challenge you’ll help solve at Slice. Local pizzerias already outperform the big chains in offline sales, yet are outsold 20-to-1 online – a gap we’re determined to close. We operate at the intersection of high stakes and local community: our mission is to level the playing field for small businesses by providing them with the technology and capabilities that rival those of the biggest players. When a shop partners with Slice, our goal is that it feels “as if they’ve just hired 1,000 people” to support their business. As an engineer on our team, you’ll seek out bold, asymmetric opportunities to create these outsized impacts for our restaurant partners and the millions of customers they serve. It’s not just about writing code – it’s about writing the future of local pizza.

What You'll Do

As a Software Developer on our Services team, you will immerse yourself in our ambitious mission and take on a wide range of responsibilities to drive customer impact. Specifically, you will:

• Build innovative features & services: Design, code, and launch new backend features that help our restaurant partners operate more efficiently and deliver exceptional, seamless experiences to their customers. Your work will directly enhance real-world interactions between shops and pizza lovers every day.
• Identify game-changing opportunities: Constantly look for asymmetric opportunities where a small technical change can deliver disproportionate value. You’ll use your creativity and entrepreneurial mindset to find 10x solutions that delight users and give our partners an edge.
• Own projects end-to-end: Take ownership of initiatives from concept through production. You’ll work closely with product, design, and other teams to define solutions, execute rapidly, and iterate based on feedback. When you see a problem, you don’t wait - you tackle it.
• Use the best tools for the job: While our primary stack is Python (Flask), we embrace any technology that delivers value. You might rewrite a microservice from Go to Python, craft a script in Ruby, or leverage a new cloud service – whatever it takes to solve the task at hand in a scalable way.
• Collaborate in a small, agile team: Work alongside a tight-knit team of 5 to 8 backend engineers (across the US, UK, and Europe) who are as passionate about the mission as you are. Together, you will review code, brainstorm ideas, and push each other to raise the bar while maintaining a fun, supportive atmosphere.
• Ensure quality and performance at scale: Employ best practices in coding, testing, monitoring, and DevOps to ensure our services are reliable and performant. You build it, you own it - from writing unit tests to fine-tuning logging and alerting, you’ll make sure your code runs smoothly in production.

The Winning Recipe

We’re looking for bold, founder-like engineers who aren’t afraid to challenge the status quo and build products that make a real difference. If you’re an unconventional thinker and a highly productive doer, you’ll feel right at home. The ideal candidate has:

• Owner’s mindset: You think like a founder. You take initiative, own problems end-to-end, and move with urgency to deliver results. Obstacles energize you, and you thrive in a fast-paced, ambiguous startup environment where your decisions drive real impact.
• Proven builder: You have solid experience crafting scalable backend systems in Python (Flask) and working with databases and cloud services. You’re comfortable diving into monitoring and logging tools to keep systems healthy. More importantly, you’re technology-agnostic – you quickly pick up new languages or frameworks (Go, Ruby, or whatever is needed) to solve problems effectively.
• Remote-ready collaborator: You excel at working on a distributed team and communicating asynchronously. You’re comfortable collaborating with teammates across different time zones and backgrounds, and you know how to stay connected and communicative in a remote work setting.
• Product & customer focus: You care deeply about the why behind your code. You can clearly express opinions on product direction and design, always keeping the end-customer and restaurant owner in mind. At the same time, you respect others’ perspectives and believe the best ideas can come from anywhere.
• Innovative problem solver: You love finding creative solutions to hard problems. Words like “impossible” or “uncharted” fuel your curiosity. You seek out those asymmetric win scenarios and aren’t afraid to experiment, adapt, and iterate to achieve a better outcome for users.

If you’ve ever dreamed of building something big, scrappy, and impactful and you have the skills to back it up - we want to meet you!

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to medical, dental, and vision plans
• Flexible working hours
• Generous time off policies
• £200 per annum employee wellbeing allowance
• Market leading maternity and paternity schemes

The Hiring Process

You’ll find a summary of your expected interview process below and we’ll stick to this as closely as possible, but please note this may be subject to change.

• Application
• 30 minute introductory meeting
• 90 minute Live Coding Interview & 60 minute Technical Interview
• 45 minute Hiring Manager meeting
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

At Loka we use a modern tech stack to support meaningful projects across a huge range of industries. In the last year our teams have helped clients advance the world’s #1 GenAI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer, all while enjoying every other Friday off. Join us, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of.

As Loka’s Senior DevOps Engineer, you'll be the go-to specialist for crafting and deploying infrastructure across a variety of projects. Your skills in AWS, TypeScript and Python will allow us to build solid, scalable systems and improve them over time. Ultimately we expect you to not only to fit in with the team but to elevate it to new heights.

The Role

• Develop technical design specifications based on functional requirements and develop and maintain AWS Cloud applications.
• Orchestrate containers with Kubernetes.
• Automate operations, implement CI/CD pipelines.
• Ensure security and compliance.
• Assess change implementation options, benefits and risks and recommend the most appropriate approach with minimal assistance.

Required Hard Skills

• 4+ years as DevOps engineer
• Serverless compute, scripting, AWS
• Git, CI/CD tools, AWS CDK/Terraform/CDKTF
• Docker, Kubernetes, database administration (plus)
• Python, TypeScript
• Bachelor's in Computer Science or related
• Client interaction and team skills
• Autonomy, adaptability and positivity

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Personality Profile

• Curious: Ambition to learn and grow into different industries with a modern tech stack.
• Autonomous and positive: We’re a fully remote, globally distributed team.
• Team player: Enjoy a collaborative approach.
• Adaptable: Operate with a startup mindset and move at a startup pace.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.

At Loka we use a modern tech stack to support meaningful projects across a huge range of industries. In the last year our teams have helped clients advance the world’s #1 GenAI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer, all while enjoying every other Friday off. Join us, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of.

As Loka’s Senior DevOps Engineer, you'll be the go-to specialist for crafting and deploying infrastructure across a variety of projects. Your skills in AWS, TypeScript and Python will allow us to build solid, scalable systems and improve them over time. Ultimately we expect you to not only to fit in with the team but to elevate it to new heights.

The Role

• Develop technical design specifications based on functional requirements and develop and maintain AWS Cloud applications.
• Orchestrate containers with Kubernetes.
• Automate operations, implement CI/CD pipelines.
• Ensure security and compliance.
• Assess change implementation options, benefits and risks and recommend the most appropriate approach with minimal assistance.

Required Hard Skills

• 4+ years as DevOps engineer
• Serverless compute, scripting, AWS
• Git, CI/CD tools, AWS CDK/Terraform/CDKTF
• Docker, Kubernetes, database administration (plus)
• Python, TypeScript
• Bachelor's in Computer Science or related
• Client interaction and team skills
• Autonomy, adaptability and positivity

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Personality Profile

• Curious: Ambition to learn and grow into different industries with a modern tech stack.
• Autonomous and positive: We’re a fully remote, globally distributed team.
• Team player: Enjoy a collaborative approach.
• Adaptable: Operate with a startup mindset and move at a startup pace.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

Software Developer, Internal Products

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Role

Develop innovative features that help our restaurant partners operate more efficiently and provide exceptional, seamless experiences for their customers. You’ll work primarily in Python and Django to design, develop and maintain robust web applications.You will collaborate closely with Product Designers, Product Managers, and other stakeholders to deliver high-quality software that meets the needs of our users.

The Team

You'll join a dynamic team of 7-10 Full Stack Engineers, focused on building and maintaining high-performance Django/Python applications. We move fast, iterating quickly to develop and improve internal products that drive efficiency and deliver real impact. With team members across the US, UK, and Eastern Europe, we leverage diverse expertise to create innovative solutions while maintaining a strong culture of collaboration and code quality.

The Winning Recipe 

We’re looking for creative, entrepreneurial developers who are excited to build world-class products for small business counters. If you recognize yourself in the qualities below, we want to hear from you:

• Owner’s Mindset: You act like a founder. You take initiative, own problems end-to-end, and move with urgency to deliver results. Challenges energize you rather than intimidate you – you thrive in a fast-paced environment and love seeing your work make a real impact.
  
  
• Strong Coder & Quick Learner: Experience with Django, Python or Ruby is a big plus You’re not afraid to dive into databases (PostgreSQL, MySQL), APIs, or unfamiliar code – you learn fast and adapt.
  
  
• Team Player with Excellent Communication Skills: Must be comfortable working remotely and collaborating asynchronously with teammates in different timezones. You can clearly express opinions on product design, while respecting the thoughts and opinions of your peers.

• Product & Customer Focus: You care about the “why” behind your code. You think about how a new feature will impact your customers. You’re eager to propose improvements, and you value others’ perspectives, knowing that the best ideas can come from anywhere.
  
  
• Creative and Strong Problem Solver: When faced with a tough problem, you get innovative. Uncharted territory excites you. You look for those asymmetric win scenarios and aren’t afraid to experiment, fail, learn, and iterate to find a better solution. You love tinkering and finding clever solutions that others might miss.
  
  

Why Slice

• Real Impact, Right Away: You’ll solve meaningful, real-world problems for real users – your contributions matter here.
• Mission-Driven Culture: Work with a purpose – every day, you’re helping small family-run pizzerias thrive against corporate giants.
• Fun Perks & Passionate Team: At Slice, we take our work and our pizza seriously. You’ll join a friendly, diverse team that loves what they do. Enjoy hackathons (we host 4 per year for all Slicers to unleash creativity), tech talks, and a collaborative atmosphere where your ideas count.

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to healthcare plans.
• Flexible working hours 
• Generous time off policies 
• Employee well-being allowance

The Hiring Process

Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer.

• 30 minute introductory meeting with your Recruiter
• 30 minutes with hiring manager
• Live coding session & Technical Interview
• 30 minute meeting with Director
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Lead Data Engineer (Platform), you are passionate about engineering excellence, developer experience, and scalable data platforms. You bring strong technical expertise, a product mindset for platform engineering, and a drive to simplify and accelerate how engineering teams deliver data solutions. 

You will thrive in this role if you are: 

• A platform-minded engineer who thinks in systems, not just pipelines
• A strong advocate for automation, standardisation and reusable engineering patterns
• Excited by improving developer experience across large engineering communities
• Comfortable balancing hands-on technical work with technical leadership and enablement
• Motivated by continuous improvement and eliminating manual engineering effort 

Role responsibilities

• Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
• Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
• Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
• Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
• Define and enforce engineering standards for testing, code quality, deployment and documentation
• Identify and eliminate manual or repetitive processes through automation and tooling improvements
• Integrate AI-assisted development tools into engineering workflows to improve productivity
• Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
• Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
• Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents
• Support onboarding and enablement of engineering teams adopting platform tooling
• Act as the main technical point of contact for platform and framework-related queries
• Partner with engineering teams to identify pain points and translate them into platform improvements
• Ensure platform tooling meets security, compliance and operational requirements
• Conduct and support code and design reviews across platform components
• Monitor platform health, performance and adoption, iterating based on feedback and metrics
• Contribute to documentation, developer guides and enablement materials to improve usability and adoption 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong proficiency in Python for building frameworks, automation tooling and reusable components
• Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
• Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
• Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
• Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
• Experience with data engineering platform design, including scalable pipeline and workflow architectures
• Strong understanding of software engineering principles (DRY, SOLID, modular design)
• Experience working with version control systems and modern Git workflows
• Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
• Experience implementing automated testing strategies (unit, integration, data quality)
• Strong understanding of platform monitoring, logging and alerting practices
• Experience writing technical documentation and developer-facing guidance
• Experience working in complex engineering environments with multiple teams 

Nice to have qualifications  

• Experience with Databricks Asset Bundles (DAB) or similar deployment frameworks
• Experience integrating AI-assisted development tools (e.g. GitHub Copilot or similar) into engineering workflows
• Experience defining AI coding standards, agent configurations or prompt engineering frameworks
• Knowledge of Delta Lake and Lakehouse architecture patterns
• Experience working on large-scale platform engineering or developer platform teams
• Understanding of IAM, secrets management and security compliance in cloud environments
• Experience driving adoption of engineering platforms across multiple teams
• Strong communication and technical leadership skills 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a position based in Poland. 

Mental and physical health:

• 24 working days of paid vacation
• National holidays covered
• Sick leave (up to 20/year)
• Unpaid leave (up to 20/year)
• Medical insurance
• Multisport card OR Multikafeteria
• Maternity & paternity leave support

Personal and professional development:

• Internal workshops & learning initiatives
• Professional certifications reimbursement
• Participation in professional local & global communities
• Growth Framework to manage expectations and define the steps to move towards the selected career
• Mentoring program with the ability to become a mentor or a mentee to grow to a higher position

Valtech Poland has a system of progressive benefit packages – the longer you stay with the company, the more benefits you get!

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Lead Data Engineer (Platform), you are passionate about engineering excellence, developer experience, and scalable data platforms. You bring strong technical expertise, a product mindset for platform engineering, and a drive to simplify and accelerate how engineering teams deliver data solutions. 

You will thrive in this role if you are: 

• A platform-minded engineer who thinks in systems, not just pipelines
• A strong advocate for automation, standardisation and reusable engineering patterns
• Excited by improving developer experience across large engineering communities
• Comfortable balancing hands-on technical work with technical leadership and enablement
• Motivated by continuous improvement and eliminating manual engineering effort 

Role responsibilities

• Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
• Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
• Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
• Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
• Define and enforce engineering standards for testing, code quality, deployment and documentation
• Identify and eliminate manual or repetitive processes through automation and tooling improvements
• Integrate AI-assisted development tools into engineering workflows to improve productivity
• Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
• Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
• Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents
• Support onboarding and enablement of engineering teams adopting platform tooling
• Act as the main technical point of contact for platform and framework-related queries
• Partner with engineering teams to identify pain points and translate them into platform improvements
• Ensure platform tooling meets security, compliance and operational requirements
• Conduct and support code and design reviews across platform components
• Monitor platform health, performance and adoption, iterating based on feedback and metrics
• Contribute to documentation, developer guides and enablement materials to improve usability and adoption 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong proficiency in Python for building frameworks, automation tooling and reusable components
• Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
• Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
• Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
• Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
• Experience with data engineering platform design, including scalable pipeline and workflow architectures
• Strong understanding of software engineering principles (DRY, SOLID, modular design)
• Experience working with version control systems and modern Git workflows
• Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
• Experience implementing automated testing strategies (unit, integration, data quality)
• Strong understanding of platform monitoring, logging and alerting practices
• Experience writing technical documentation and developer-facing guidance
• Experience working in complex engineering environments with multiple teams 

Nice to have qualifications  

• Experience with Databricks Asset Bundles (DAB) or similar deployment frameworks
• Experience integrating AI-assisted development tools (e.g. GitHub Copilot or similar) into engineering workflows
• Experience defining AI coding standards, agent configurations or prompt engineering frameworks
• Knowledge of Delta Lake and Lakehouse architecture patterns
• Experience working on large-scale platform engineering or developer platform teams
• Understanding of IAM, secrets management and security compliance in cloud environments
• Experience driving adoption of engineering platforms across multiple teams
• Strong communication and technical leadership skills 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a position based in Portugal. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Lead Data Engineer (Platform), you are passionate about engineering excellence, developer experience, and scalable data platforms. You bring strong technical expertise, a product mindset for platform engineering, and a drive to simplify and accelerate how engineering teams deliver data solutions. 

You will thrive in this role if you are: 

• A platform-minded engineer who thinks in systems, not just pipelines
• A strong advocate for automation, standardisation and reusable engineering patterns
• Excited by improving developer experience across large engineering communities
• Comfortable balancing hands-on technical work with technical leadership and enablement
• Motivated by continuous improvement and eliminating manual engineering effort 

Role responsibilities

• Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
• Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
• Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
• Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
• Define and enforce engineering standards for testing, code quality, deployment and documentation
• Identify and eliminate manual or repetitive processes through automation and tooling improvements
• Integrate AI-assisted development tools into engineering workflows to improve productivity
• Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
• Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
• Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents
• Support onboarding and enablement of engineering teams adopting platform tooling
• Act as the main technical point of contact for platform and framework-related queries
• Partner with engineering teams to identify pain points and translate them into platform improvements
• Ensure platform tooling meets security, compliance and operational requirements
• Conduct and support code and design reviews across platform components
• Monitor platform health, performance and adoption, iterating based on feedback and metrics
• Contribute to documentation, developer guides and enablement materials to improve usability and adoption 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong proficiency in Python for building frameworks, automation tooling and reusable components
• Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
• Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
• Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
• Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
• Experience with data engineering platform design, including scalable pipeline and workflow architectures
• Strong understanding of software engineering principles (DRY, SOLID, modular design)
• Experience working with version control systems and modern Git workflows
• Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
• Experience implementing automated testing strategies (unit, integration, data quality)
• Strong understanding of platform monitoring, logging and alerting practices
• Experience writing technical documentation and developer-facing guidance
• Experience working in complex engineering environments with multiple teams 

Nice to have qualifications  

• Experience with Databricks Asset Bundles (DAB) or similar deployment frameworks
• Experience integrating AI-assisted development tools (e.g. GitHub Copilot or similar) into engineering workflows
• Experience defining AI coding standards, agent configurations or prompt engineering frameworks
• Knowledge of Delta Lake and Lakehouse architecture patterns
• Experience working on large-scale platform engineering or developer platform teams
• Understanding of IAM, secrets management and security compliance in cloud environments
• Experience driving adoption of engineering platforms across multiple teams
• Strong communication and technical leadership skills 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

• Private health insurance
  We hope you will never need it, but nevertheless, we offer private health insurance to all our employees.

• Education program
  We never stop learning, that’s why we offer our employees an educational program with training and certification.

• Wellbeing program
  We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity!

• Free beverages
  Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners.

• Events
  We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues.

• Competitive conditions
  Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team.

• Challenging projects
  Ready for a challenge? We guarantee you'll find challenging projects at Valtech!
  
  
• Cool colleagues
  What's the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them!
  
  
• Honest feedback
  Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together.

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Lead Data Engineer (Platform), you are passionate about engineering excellence, developer experience, and scalable data platforms. You bring strong technical expertise, a product mindset for platform engineering, and a drive to simplify and accelerate how engineering teams deliver data solutions. 

You will thrive in this role if you are: 

• A platform-minded engineer who thinks in systems, not just pipelines
• A strong advocate for automation, standardisation and reusable engineering patterns
• Excited by improving developer experience across large engineering communities
• Comfortable balancing hands-on technical work with technical leadership and enablement
• Motivated by continuous improvement and eliminating manual engineering effort 

Role responsibilities

• Design, build, and maintain scalable data engineering frameworks and platform utilities used across engineering teams
• Develop reusable patterns, templates, and abstractions to standardise and accelerate delivery
• Define and evolve platform architecture decisions, ensuring scalability, maintainability and consistency
• Design and implement CI/CD pipelines and automation frameworks to improve engineering velocity
• Define and enforce engineering standards for testing, code quality, deployment and documentation
• Identify and eliminate manual or repetitive processes through automation and tooling improvements
• Integrate AI-assisted development tools into engineering workflows to improve productivity
• Develop and maintain AI engineering assets such as coding guidelines, prompt frameworks and reusable agent configurations
• Lead the development and operational support of core data transformation frameworks (including dbt Core at enterprise scale)
• Investigate and resolve framework-level issues, including deployment failures, dependency conflicts and production incidents
• Support onboarding and enablement of engineering teams adopting platform tooling
• Act as the main technical point of contact for platform and framework-related queries
• Partner with engineering teams to identify pain points and translate them into platform improvements
• Ensure platform tooling meets security, compliance and operational requirements
• Conduct and support code and design reviews across platform components
• Monitor platform health, performance and adoption, iterating based on feedback and metrics
• Contribute to documentation, developer guides and enablement materials to improve usability and adoption 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong proficiency in Python for building frameworks, automation tooling and reusable components
• Hands-on experience with Databricks (including notebooks, workflows, jobs and Unity Catalog)
• Strong SQL skills and experience with distributed processing frameworks such as Apache Spark
• Deep experience with dbt Core, including project structure, models, tests, macros and deployment at scale
• Proven experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI)
• Experience with data engineering platform design, including scalable pipeline and workflow architectures
• Strong understanding of software engineering principles (DRY, SOLID, modular design)
• Experience working with version control systems and modern Git workflows
• Experience with cloud platforms (preferably AWS) and infrastructure-as-code concepts (e.g. Terraform)
• Experience implementing automated testing strategies (unit, integration, data quality)
• Strong understanding of platform monitoring, logging and alerting practices
• Experience writing technical documentation and developer-facing guidance
• Experience working in complex engineering environments with multiple teams 

Nice to have qualifications  

• Experience with Databricks Asset Bundles (DAB) or similar deployment frameworks
• Experience integrating AI-assisted development tools (e.g. GitHub Copilot or similar) into engineering workflows
• Experience defining AI coding standards, agent configurations or prompt engineering frameworks
• Knowledge of Delta Lake and Lakehouse architecture patterns
• Experience working on large-scale platform engineering or developer platform teams
• Understanding of IAM, secrets management and security compliance in cloud environments
• Experience driving adoption of engineering platforms across multiple teams
• Strong communication and technical leadership skills 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

Beyond a competitive compensation package, we offer: 

• Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance.
• Co-subsidized transportation & Multisport cards.
• Premium health insurance for fast and easy access to top healthcare services.
• Training policy for technical and other skills-related events, courses and certifications.
• Personal career development roadmap guided by performance evaluations.
• Self-care program offering psychological consultations & discussions for you and the team.
• Cozy office space designed for comfort and productivity.
• Exciting team events and company gatherings.

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

This position is open to applicants across all of the UK on a remote basis, with the physical office located in Belfast, Northern Ireland.

The Role

By applying your Mobile experience, and software development skills, you will build high quality and intuitive experiences for customer-facing and business-facing apps. You will collaborate with other developers to build scalable solutions that make it easy to build high quality products, and you will work alongside designers and other stakeholders to build exciting new features and refine existing experiences. You will integrate with our custom built in-shop embedded projects. Knowledge of more than one mobile stack as well as an interest in embedded systems is a bonus. 

For this role, we are focusing on hiring at the Senior level, which requires broad professional mobile development experience and a strong track record of leading complex initiatives and delivering broad impact. We recognise that job titles and responsibilities vary across companies; throughout our interview process we assess each candidate’s experience, technical depth and overall impact to ensure alignment with the appropriate level at Slice.

The Team

You will be part of our Devices development team that is responsible for all of our customer-facing and business-facing mobile and embedded products. Think pizza ordering apps, Point-of-sale and Kiosk’s to name a few. We believe that consolidating our skills on platform-specific teams leads to a better development environment where you can collaborate, learn from and grow alongside other device experts. Our team brings together talented developers from across the US, UK, and Eastern Europe, each contributing unique perspectives and expertise to drive success.

The Winning Recipe

We’re looking for creative, entrepreneurial developers who are excited to build world-class products for small businesses and their customers. 

The core competencies this role calls for:

• Proven experience developing iOS apps with Swift, SwiftUI, Combine and Core Data.
• Hands-on experience designing, developing and maintaining Android applications with Kotlin & Jetpack Compose is required.
• Technical leadership and strategic impact: able to guide complex projects end-to-end, influence architecture decisions and lead peers.
• Experience with Python, particularly in developing web services, is a plus.
• Embedded systems experience is highly desirable.
• Able to clearly express opinions on product design, while respecting the thoughts and opinions of their peers.
• Adaptable, proactive and results-oriented, capable of delivering solutions efficiently and meeting tight deadlines.
• Proven ability to communicate and collaborate effectively with engineers across all platforms and non-engineering stakeholders alike.
• Comfortable working remotely and collaborating asynchronously with teammates in different timezones and from different backgrounds.

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to healthcare plans
• Flexible working hours
• Generous time off policies
• Employee wellbeing allowance
• Market leading maternity and paternity schemes

The Hiring Process

Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer.

• Application
• 30-minute introductory meeting
• 90 minute Live Coding Interview & 60 minute Technical Interview
• 30-minute Hiring Manager meeting
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

Turn it up to 11 as a Data Consultant! 

Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible. 

We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture. 

We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect: 

• Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset
• Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs 
• Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide events 

What you can expect in this role:

• Discover and understand client needs by performing stakeholder interviews, data profiling, and process mapping
• Analyze raw data sets, data flows, and business logic - evaluating for insights, trends, accuracy, and performance
• Design, build, and implement BI reports and dashboards using Tableau, Power BI, and other visualization tools
• Interface with the client throughout the delivery process
• Collaborate with our Digital, Design, and Engineering practices to deliver end-to-end solutions
• Apply an Agile methodology to manage client workstreams

Tools for success:

• At least 5 years of consulting experience with a focus on data analysis
• Extensive experience in SQL and Data Visualization tools such as Tableau, PowerBI, Qlik, or equivalent for building dashboards and reports.
• Advanced Data Analysis & Statistics skills.
• Familiarity with ETL tools & Data Pipelines
• Proficient in writing and optimising SQL queries and knowledge on Databases 
• Strong programming skills in Python for data wrangling and advanced analytics.
• Experience with platforms like Databricks / Snowflake, / Redshift / BigQuery, or similar for datawarehousing
• Understanding ML: regression, classification, clustering, and model evaluation.
• Skills in ensuring data integrity, security, and compliance with regulations.
• Ability to stay organized and flexible
• Excellent communication skills (in English)
• Experience collaborating with and presenting work to clients and stakeholders
• Comfortable working cross-functionally in fast paced environments

The 11 in our name is significant in that it represents going above and beyond expectations…in everything we do. Our focus is on the perfect alignment of our proven, talented consultants with your most strategic and innovative initiatives.

We help our clients by altering the DNA of companies to break down barriers so that everything (and everyone) is integrated and works together beautifully.  We help companies become outcome driven and build empathetic experiences that delight their customers and employees.

Our services and unique consulting model allow us to support our customers from upfront strategy and design to implementation and support.  Our mix of onshore and offshore options allows us to provide the highest level of value to our clients, the most effective and efficient manner of delivery, and unparalleled client service.

This role is for Inspajr Eleven dooel Tetovo, an organization fully owned and operated in the Republic of Macedonia (FYROM) and the role requires on-site working hours.

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.