Terraform Jobs in Sweden.
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Lead Cloud Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The team
Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
- Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
- Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
- Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
- Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius cloud infrastructure.
- Build visibility and ownership culture amongst Solutions Architects.
We expect you to have:
- 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
- 2+ years of experience leading or mentoring customer facing engineering teams.
- Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
- Strong communication and stakeholder management skills across both technical and non-technical audiences.
- Passion for developing scalable, reliable cloud architectures and driving customer success.
It will be an added bonus if you have:
- Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
- Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
- Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
- Experience participating in or leading technical contributions to conferences or open-source communities.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Principal Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
- Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
- Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
- Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
- Translate customer requirements into scalable, production-ready architectures and best practices
- Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
- Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
- Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
- Contribute to building repeatable technical playbooks and assets for the European market
We expect you to have:
- 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
- Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
- Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
- Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
- Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
- Experience with cloud platforms, Kubernetes, and distributed systems
- Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
- Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
- Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
- Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
- A highly customer-centric mindset, with the ability to balance technical depth and business value
It will be an added bonus if you have:
- Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
- Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
- Familiarity with HPC environments and schedulers (e.g., Slurm)
- Experience contributing to regional go-to-market or developer/community initiatives
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
AI/ML Specialist Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.
You’re welcome to work on-site in Amsterdam or remotely from any other EU country.
Your responsibilities will include:
- Designing customer-centric solutions that maximize business value and align with strategic goals.
- Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
- Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
- Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.
We expect you to have:
- 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
- Strong understanding of ML ecosystems, including models, use cases and tooling.
- Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Hands-on knowledge of frameworks like PyTorch or JAX.
- Excellent verbal and written communication skills.
It will be an added bonus if you have:
- Expertise in deploying inference infrastructure for production workloads.
- Ability to transition ML pipelines from POC to scalable production systems.
Preferred tooling:
- Programming Languages – Python, Go, Java, C++
- Orchestration – Kubernetes (K8s), Slurm
- DevOps Tools – Git, Docker, Helm
- Infrastructure as Code (IaC) – Terraform
- ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Customer Engineer EMEA
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Key Customers Solutions Architect EMEA
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Software Engineer, Data Infrastructure & Acquisition - Stockholm, Sweden
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Platform Engineer
EQT is looking for a Senior Platform Engineer to join our engineering platform team in Stockholm. This is a hands-on role for an experienced engineer who enjoys building reliable platforms, working closely with teams, and driving long-term impact.
About the Engineering Platform team
The engineering platform team builds and operates EQT’s core platform, enabling product teams to run secure, reliable, and scalable services, data-products and agentic ai. The team works closely with developers and security partners, with a strong focus on automation, standards, and operational excellence.
About the role
In this role, you will work across EQT’s engineering platform and lead the design and delivery of key platform initiatives. You will collaborate with teams across the organization to drive adoption, improve reliability, and enhance the developer experience.
- Lead the design, architecture, and rollout of platform projects from start to finish.
- Collaborate with engineers across the organization to align on platform standards and best practices.
- Operate and continuously improve the engineering platform.
- Contribute to on-call rotations and support platform reliability.
- Improve platform reliability, security, and developer experience.
- Support incident response, troubleshooting, and root cause analysis.
About you
You enjoy working in a high-trust environment and take ownership of building strong technical foundations. You are collaborative, structured in your approach, and motivated by enabling others to succeed.
Essential skills and experience:
- Experience as a senior Platform, SRE, or Infrastructure Engineer.
- Proven experience leading platform projects from concept through to production.
- Hands-on experience running Kubernetes production environments.
- Experience working with cloud platforms, preferably Google Cloud Platform (GCP).
- Experience with infrastructure as code, preferably Terraform.
- Familiarity with GitOps and CI/CD workflows.
Tech Stack / Environment: GCP, GKE, ArgoCD, Gatekeeper, Cilium, Terraform, CircleCI, GitHub, Cloudflare, Datadog, incident.io, Snowflake, DBT, Hex, Go, Python, Next.js
Nice to have:
- Experience with platform security.
- Knowledge of authentication and identity systems.
- Strong networking knowledge across cloud and Kubernetes environments.
- Interest in the Agentic AI ecosystem
- Experience improving platform and production environment resilience.
What we offer
At EQT, you will work in a collaborative and high-trust environment where your ideas and contributions matter. You will have the opportunity to shape a modern engineering platform, work with experienced colleagues, and continue to grow your skills while delivering meaningful impact.
Inclusion at EQT
Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes.
About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets.
With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
More info: www.eqtgroup.com
Follow EQT on LinkedIn, X, YouTube and Instagram
Ready to apply?
Apply to EQT Group
Join EQT as a Data Engineer in the Client Tech Value Stream, where you will build and scale our modern data platform. You will work across the full data lifecycle, enabling reliable, high-quality data products that support decision-making across the business.
About the Client Tech Value Stream team
The Client Tech Value Stream focuses on delivering technology and data solutions that support client, investor, and fund-related processes. The team works closely with engineering, product, CRM, and business stakeholders to build scalable platforms that enable insights and operational efficiency across EQT.
About the role
You will play a key role in designing, building, and operating EQT’s cloud-based data platform. You will work across ingestion, transformation, and data modeling to ensure high-quality, reliable, and accessible data.
- Design, build, and operate scalable data pipelines across multiple data sources.
- Ingest data from APIs, external platforms, Fivetran connectors, and cloud storage.
- Develop and maintain data models using dbt on Snowflake.
- Structure data around core business entities such as clients, investors, funds, and transactions.
- Enable analytics and reporting in tools such as Power BI, Salesforce CRM Analytics, Tableau and our AI stack.
- Monitor and troubleshoot pipelines to ensure reliability and performance.
- Collaborate with stakeholders across engineering, analytics, CRM, and business teams.
- Contribute to platform improvements and modernization of legacy pipelines.
- Support infrastructure and access management using GitHub, Terraform, and Snowflake.
About you
You are an experienced Data Engineer who enjoys working across the full data stack and collaborating with diverse teams. You are comfortable working in a modern cloud environment and translating business needs into scalable data solutions. You are curious about AI and new technology, and can translate both human and machine needs into code.
Essential skills and experience:
- Experience building data pipelines and working with cloud data platforms.
- Experience collaborating with nontechnical stakeholders for requirements and maintenance.
- Strong SQL skills and experience with data modeling for usage by reporting tools and LLM models.
- Experience with Snowflake and dbt or similar tools.
- Experience integrating data from multiple systems such as APIs and SaaS platforms.
- Familiarity with data visualization tools such as Power BI or Tableau.
- Experience with version control and infrastructure tools such as Git and Terraform.
Nice to have:
- Experience with GCP and Fivetran.
- Experience working with CRM systems such as Salesforce.
- Understanding of financial or private markets data.
What we offer
You will be part of a collaborative and forward-looking team where data is central to how EQT creates value. We offer opportunities to work with modern technologies, contribute to impactful projects, and grow your skills in a global environment.
Inclusion at EQT
Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes.
About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets.
With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
More info: www.eqtgroup.com
Follow EQT on LinkedIn, X, YouTube and Instagram
Ready to apply?
Apply to EQT Group
Principal Software Engineer (Networking) - Platform
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role:
As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!
What You Will Be Doing:
- Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
- Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
- Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
- Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.
What You Bring:
- 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
- Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
- Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.
Bonus Points:
You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.
- You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
- You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
- You have written product features or functions in Golang or other programming languages.
- You have worked with containerized services (such as Docker.)
- You have proven results in leading and improving cross-team engineering initiatives.
- You have experience in system administration with professional skills in Linux on distributed systems at scale.
- You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
- You are experienced in a self-organizing and sharing in a globally distributed team environment.
- You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Additionally, this role is still eligible to participate in Elastic’s equity plan, Registered Retirement Savings Plan (RRSP), and a range of other benefits offered with a holistic emphasis on employee well-being. If you need additional details on our benefits, please review the Canada Benefits page on Wiki.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
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Software Engineer, Data Infrastructure & Acquisition - Gothenburg, Sweden
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify