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.

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.

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.

The Wow

We are seeking a talented, motivated and experienced DevSecOps Engineer in our Stockholm office with a strong focus on the implementation of security practices  and services within our Cloud Platforms Engineering team, with experience working in an AWS environment. In this role, you will be responsible for ensuring the secure and efficient delivery of software and services, as well as the implementation of robust security measures throughout the software development lifecycle. 

A taster of what you will be involved with: 

• Implement and maintain secure infrastructure on the cloud: Design, deploy, and manage secure AWS environments, leveraging various AWS services such as Amazon EC2, Amazon S3, AWS Identity and Access Management (IAM), AWS Lambda, and Edge Security services. Audit and monitor security groups, network access control lists (ACLs), and other security features to protect sensitive data and systems.
• Monitoring & Logging: Implement proactive security monitoring and alerting mechanisms, leveraging AWS services like AWS CloudTrail, Amazon Control Tower,, Amazon GuardDuty, and Amazon Inspector. Work closely with our Information Security team to identify and respond to security incidents, conduct forensic investigations.
• Vulnerability and Patch Management: Coordinate vulnerability scanning and patch management processes to mitigate security risks. Coordinate with external security vendors for penetration testing, security audits and the remediation of findings with operation teams.
• Security Incident response: Assist the Information Security team in managing security incidents, including containment, investigation, and recovery.
• Security architecture and design: Work closely with architects, central security team, and development teams to integrate security controls into the overall system architecture within AWS and Kubernetes infrastructure. Review and provide guidance on secure design principles, secure coding practices, and secure deployment strategies.
• You will be expected to form part of a 24/7 on call roster to support the engineering team during out of office incidents calls

What we are looking for

As a DevSecOp Platform Engineering team you will work with several stakeholders such as:

• Development teams
• Product owners
• Information Security teams
• Internal Area teams
• Architects
• Experience with the following technologies:
  • • AWS 
    • Kubernetes 
    • Terraform  
    • Github Advanced Security
    • Strong experience as a DevSecOps Engineer or similar role, with a focus on implementing security practices in AWS environments, including Kubernetes infrastructure.
    • In-depth knowledge of AWS services and their security features, such as IAM, VPC, S3, CloudTrail, GuardDuty, Inspector, as well as Kubernetes architecture and security controls.
    • Familiarity with infrastructure-as-code (IaC) tools like CloudFormation or Terraform for managing Kubernetes infrastructure.
    • Knowledge of best practices in IT operations, such as ITIL (IT Infrastructure Library) and DevOps principles.
    • Understanding of secure coding practices, API security, code scanning tools, and vulnerability management processes specific to Kubernetes environments.
    • Strong knowledge of security frameworks and standards (e.g., OWASP, NIST, CIS) applicable to both AWS and Kubernetes environments.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Modern data platforms are built on events - well-defined, trustworthy signals that describe how users interact with products and systems over time. As a Data Engineer you will help build and improve the data platform that powers analytics, growth, personalization and decision-making across the company.

This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on the systems and infrastructure that supports transforming batch and streaming data into high-quality datasets that downstream systems - from warehouses to activation tools - can rely on.

We are currently in the early stages of building out a new event-driven architecture, and this role will be part of shaping it. That means owning parts of the streaming infrastructure, contributing to foundational decisions about how events are structured and evolved, and having real influence over how data flows across the company for years to come.

This is a hybrid/onsite role located in Stockholm, our guideline is to spend 3 days a week at our office.

What you’ll do

• Design and operate data infrastructure (streaming and batch) and the systems that move data reliably at scale.
• Contribute to how events are defined, structured, and evolved across the platform.
• Ensure data quality, consistency, and observability across event pipelines.
• Ensure GDPR and PII compliance across data flows at scale.
• Contribute to data and architecture best practices that may span across the whole organisation.

Who you are

• A few years of experience as a Data Engineer or data-heavy backend engineer.
• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages).
• Experience building and maintaining data pipelines in a modern cloud data stack.
• Experience managing infrastructure as code (e.g. Terraform or similar).
• A good understanding of data quality, observability, and reliability.
• Clear written communication skills in English and comfort working cross-functionally.
• Experience with streaming systems or near real-time data infrastructure (e.g. Kafka, Flink, or similar).

📍 Location: 

This is a hybrid/on-site role at Mentimeter HQ in Stockholm, where we expect you to be in the office at least 3 days/week.
Please note that we do not offer relocation sponsorship for the position.  

Not Required:

You don’t have to know Swedish (daily work is carried out in English and the Mentimeter team currently boasts over 50 nationalities!)