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Software Engineer, Platform - Cologne, Germany
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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
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
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
About Buynomics:
Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.
Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.
About the role:
Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.
As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.
This role focuses on:
- Secure single-tenant deployments in customer-controlled environments (Azure-first)
- Kubernetes-based service architecture across clouds
- Scalable infrastructure for distributed compute and ML workloads
- Infrastructure automation, security, and operational excellence
You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.
Why this role:
- Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
- Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
- Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
- AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
- Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team
What you'll do:
- Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
- Build and maintain reusable Infrastructure-as-Code modules (Terraform)
- Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
- Implement GitOps-based CI/CD and automated environment provisioning
- Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
- Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
- Establish observability standards (structured logging, metrics, distributed tracing, alerting)
- Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
- Collaborate with engineering teams to define clean service deployment contracts
- Define platform standards, architectural decision records, and operational runbooks
- Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
- Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit
What you'll need:
- 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
- Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
- Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
- Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
- Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
- Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
- Experience designing CI/CD and GitOps workflows
- Experience operating distributed or high-concurrency workloads
- Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
- Strong system design skills and ability to operate at Staff-level technical depth
- Ability to navigate ambiguity and move initiatives forward independently
Nice-to-Haves:
- Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
- MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
- Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
- GPU workload optimization and scheduling
- Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
- Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
- Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
- FinOps practices and multi-environment cost governance
What we offer:
- A vibrant, international, and diverse work environment.
- Flexible work options: remote within the EU with occasional visits to our Cologne HQ or Barcelona office or a hybrid setup in one of these locations.
- A dedicated learning budget to support your professional growth and development.
- Local language lessons (Germany and Spain)
- Health and fitness benefits (Germany and Spain)
- Personal and professional growth opportunities
- Regular company events
To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.
Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.
#LI-Remote
GDPR Data Privacy Notice
By applying for a position at Buynomics, you consent to the processing of your personal data for recruitment purposes. Buynomics will handle your information in accordance with applicable data protection laws, including the GDPR. Your data may be processed through our applicant tracking system, Greenhouse, and used solely to assess your application. We will retain your data only as long as necessary for recruitment purposes or as required by law. You may access, rectify, or request deletion of your data by contacting careers@buynomics.com
Ready to apply?
Apply to Buynomics
About Buynomics:
Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.
Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.
About the role:
Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.
As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.
This role focuses on:
- Secure single-tenant deployments in customer-controlled environments (Azure-first)
- Kubernetes-based service architecture across clouds
- Scalable infrastructure for distributed compute and ML workloads
- Infrastructure automation, security, and operational excellence
You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.
Why this role:
- Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
- Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
- Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
- AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
- Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team
What you'll do:
- Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
- Build and maintain reusable Infrastructure-as-Code modules (Terraform)
- Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
- Implement GitOps-based CI/CD and automated environment provisioning
- Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
- Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
- Establish observability standards (structured logging, metrics, distributed tracing, alerting)
- Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
- Collaborate with engineering teams to define clean service deployment contracts
- Define platform standards, architectural decision records, and operational runbooks
- Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
- Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit
What you'll need:
- 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
- Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
- Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
- Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
- Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
- Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
- Experience designing CI/CD and GitOps workflows
- Experience operating distributed or high-concurrency workloads
- Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
- Strong system design skills and ability to operate at Staff-level technical depth
- Ability to navigate ambiguity and move initiatives forward independently
Nice-to-Haves:
- Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
- MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
- Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
- GPU workload optimization and scheduling
- Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
- Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
- Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
- FinOps practices and multi-environment cost governance
What we offer:
- Dynamic Environment: Join a truly international and diverse team where your ideas matter.
- Flexible Work Model: Enjoy a remote setup with offices located in Cologne and Barcelona.
- Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
- Local Language Classes: Participate in language lessons to support your integration and personal development.
- Health insurance package
- Personal and professional growth opportunities
- Regular company events
To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.
Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.
#LI-Remote
GDPR Data Privacy Notice
By applying for a position at Buynomics, you consent to the processing of your personal data for recruitment purposes. Buynomics will handle your information in accordance with applicable data protection laws, including the GDPR. Your data may be processed through our applicant tracking system, Greenhouse, and used solely to assess your application. We will retain your data only as long as necessary for recruitment purposes or as required by law. You may access, rectify, or request deletion of your data by contacting careers@buynomics.com
Ready to apply?
Apply to Buynomics
About Buynomics:
Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.
Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.
About the role:
Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.
As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.
This role focuses on:
- Secure single-tenant deployments in customer-controlled environments (Azure-first)
- Kubernetes-based service architecture across clouds
- Scalable infrastructure for distributed compute and ML workloads
- Infrastructure automation, security, and operational excellence
You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.
Why this role:
- Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
- Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
- Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
- AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
- Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team
What you'll do:
- Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
- Build and maintain reusable Infrastructure-as-Code modules (Terraform)
- Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
- Implement GitOps-based CI/CD and automated environment provisioning
- Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
- Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
- Establish observability standards (structured logging, metrics, distributed tracing, alerting)
- Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
- Collaborate with engineering teams to define clean service deployment contracts
- Define platform standards, architectural decision records, and operational runbooks
- Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
- Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit
What you'll need:
- 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
- Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
- Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
- Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
- Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
- Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
- Experience designing CI/CD and GitOps workflows
- Experience operating distributed or high-concurrency workloads
- Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
- Strong system design skills and ability to operate at Staff-level technical depth
- Ability to navigate ambiguity and move initiatives forward independently
Nice-to-Haves:
- Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
- MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
- Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
- GPU workload optimization and scheduling
- Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
- Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
- Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
- FinOps practices and multi-environment cost governance
What we offer:
- Dynamic Environment: Join a truly international and diverse team where your ideas matter.
- Flexible Work Model: Enjoy a remote setup with offices located in Cologne.
- Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
- Local Language Classes: Participate in language lessons to support your integration and personal development.
- Urban Sports Club Membership
- Deutschlandticket
- Personal and professional growth opportunities
- Regular company events
To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.
Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.
#LI-Remote
GDPR Data Privacy Notice
By applying for a position at Buynomics, you consent to the processing of your personal data for recruitment purposes. Buynomics will handle your information in accordance with applicable data protection laws, including the GDPR. Your data may be processed through our applicant tracking system, Greenhouse, and used solely to assess your application. We will retain your data only as long as necessary for recruitment purposes or as required by law. You may access, rectify, or request deletion of your data by contacting careers@buynomics.com
Ready to apply?
Apply to Buynomics