Within Verisign, our Data Engineering Team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-Level Data Engineer.

An ideal candidate should deeply care about all steps of data lifecycle (ingestion, enhancement, storage, processing, visualization), be fluent in a JVM-based language, and be eager to learn as needed. They should have an understanding of fundamentals including core Computer Science concepts accompanied by hands-on problem-solving experience ideally involving large-scale distributed systems. Obtaining these competencies often requires an equivalent of a bachelor’s degree and 5 years of practical work experience. We are also open to other career paths.

The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This will often imply regular cross-team collaboration with Verisign Data Platform, Business, Infrastructure, Engineering, Security, and Operations. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs.

Key Responsibilities:

• Design, build and optimize real-time and batch data processing pipelines.
• Develop and maintain data processing components that implement transformation, normalization, and enrichment logic.
• Build and maintain interactive dashboards and visualizations for internal stakeholders.
• Develop and maintain containerized workloads deployed in Kubernetes environments using CI/CD automation.
• Ensure system and data pipelines reliability through monitoring, observability, and alerting practices.
• Troubleshoot complex issues in distributed data systems and resolve performance bottlenecks.
• Support internal customers using data products and analytical platforms.
• Contribute to continuous improvement by applying data engineering best practices, particularly in hybrid cloud environments.

Required Skills

• Strong programming fundamentals with experience in object-oriented or functional programming languages
• Experience working with data lake and analytical technologies (e.g., Iceberg, Druid, Hive, Object Storage).
• Familiarity with streaming data platforms such as Apache Kafka.
• Experience implementing CI/CD pipelines (e.g. Jenkins).
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to collaborate effectively with cross-functional stakeholders.

Preferred Skills

• Proficiency in Java or other JVM-based programming languages (e.g., Scala).
• Hands-on experience with distributed data processing frameworks such as Apache Spark or Akka Streams.
• Experience with containerization and orchestration technologies (Docker, Kubernetes) in production environments.
• Strong understanding of distributed systems concepts and performance optimization.
• Experience working in large-scale, production-grade data environments.
• Experience with delivering business insights by leveraging data visualization tools such as Grafana, Tableau or Superset.

An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and allow Verisign to continuously improve the delivery of business and operational insights:

Qualifications:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• Prior experience developing and managing production-grade data pipelines
• Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience in addition to a Bachelors or Masters degree, but we are open to alternative career paths

We are looking for a Systems Engineer to join a dynamic team responsible for building, managing and maintaining the Verisign Kubernetes platform on which our mission-critical services depend. We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them.

Our platform and our team

Our platform uses a mix of Open Source and commercial off-the-shelf software and targets a large on-premise bare-metal footprint using cloud-native constructs. The environment offers a secure-by-default configuration, implementing a GitOps-first approach, in-depth network micro-segmentation and governance policies. We follow a mostly Kanban workflow and adhere to devops and GitOps principles. We value fast iteration and a customer-oriented approach while being mindful about security. The team has strong expertise in Kubernetes, networking and operating an internal cloud but also has experience with application development. The team is geographically diverse, with presence in both Switzerland and the US.

Job responsibilities:

• Develop the internal Kubernetes platform
• Integrate platform components and operators; implement the deployment and monitoring for these following infrastructure as code (IaC), configuration as code (CaC) and GitOps principles
• Develop and maintain an internal Kubernetes operator
• Develop CI validation and verification of the code base
• Adopt a security mindset as part of development and validation processes
• Document the platform for use-of-use by application teams and the platform operations team
• Coordinate with other technical staff to implement systems and software, prioritizing depending on business needs
• Support operations functions, including root cause identification, remediation and documentation
• Regularly re-assess the platform's internal ecosystem with the industry's leading solutions 
• Participate in a 24x7 on call rotation for tier 3 support

Preferred Skills, Experience, and Attributes:

An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and will have a combination of:

• Experience with Kubernetes (and related ecosystem) configuration and administration
• Experience developing mature solutions for monitoring and reporting using tools like Prometheus, Grafana and Splunk
• Writing code with a high-level programming language such as Python or Go (aka Golang)
• Experience writing and maintaining a Kubernetes operator
• Understanding of security and network stack
• Experience operating Linux and Unix systems in a large scale environment
• Experience with managing an on-premise footprint
• Experience with one cloud environment, such as AWS
• Familiarity with development tools such as GitHub
• Written and verbal communication skills; ability to clearly and succinctly describe complex issues

Qualifications:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• Prior experience developing or operating a Kubernetes platform in a production environment
• Experience with one high-level programming language
• Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience, but we are open to alternative career paths

As we expand our product portfolio and global presence, our Engineering department is hiring a Site Reliability Engineer to support and expand our globally distributed team. Together with the rest of the team, we are responsible for the availability, performance, monitoring, and incident response of our cloud-based services.

You could be the next "Nozomier"! If this sounds like you, read on.

In this role you will:

• Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
• Build and maintain our cloud-based infrastructure and related services
• Build solutions to enhance the availability, performance and stability of our services
• Promote and implement automated solutions across application deployment, maintenance, and operational activities
• Troubleshoot issues across the entire stack, from network and OS to applications
• Performance tuning and optimization of cloud services, including cost saving strategies
• Drive post-incident analysis according to our no-blame culture
• Participate in periodic on-call duties
• Ability to operate in settings with strong confidentiality and data privacy protocols

To be successful in this opportunity, you will have:

• Proven professional experience as SRE, DevOps, or Cloud engineer
• Strong hands-on experience with Kubernetes
• Hands-on experience with at least one cloud provider (preferably AWS)
• Good knowledge and understanding of at least one programming language (Ruby, Python, Go)
• Experience defining infrastructure as code using tools such as Terraform or CloudFormation
• Experience in the definition of CI/CD pipelines using technologies like Jenkins, GHA, or similar
• Demonstrable experience of using AI‑enabled tools as part of day‑to‑day work activities to improve efficiency, quality, or decision‑making.
• Ability to work effectively with AI‑assisted tools while applying sound professional judgement and accountability for outputs.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Garda is looking for a Data Engineer in its Research and Technology (R&T) group based out of our Geneva Office. 

The R&T team is responsible for all of the firm's applications & infrastructure including data management, analytics, portfolio and risk management. The selected candidate will be experienced in processing and manipulating data, developing scalable and performant data delivery systems, data APIs and platforms. This position requires proficiency and experience in software development using Python. While prior business knowledge is not mandatory, capital markets related experience will be a plus.

Position Responsibilities

• Assist in developing and maintaining stable data pipeline to support Garda’s trading and business activities
• Aid in the onboarding and processing of interesting new data sets, working with developers, traders, and portfolio managers across the organization
• Develop a keen understanding of the data and how it is being utilized in our systems, analytics, and investment process

Qualifications & Desired Skills

• Bachelor's Degree in Computer Science, Engineering, Mathematics, or Finance
• Minimum 2 years of development experience using either Python, C# or Java/ C++
• Minimum 2 years of database/SQL experience
• Familiarity with object-oriented programming concepts
• Experience with ETL/ELT tools (dagster, airflow, dbt, talend etc.)
• Experience with containerized applications. Experience with container orchestration tools is a plus (Swarm, Kubernetes, ECS, etc.)
• Must be comfortable with development across the application stack
• Ability to complete complex projects independently
• Detail-oriented with strong verbal and written communication skills
• Ability to work effectively in a high-energy, time sensitive team environment

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.

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.

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.

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get: 

Veeam offers benefits that support your whole self: 

• 25 paid vacation days annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Monthly medical allowance for flexible healthcare support
• Mandatory pension plan with employer and employee contributions
• Life insurance coverage 
• Disability pension providing income protection during long-term illness
• Comprehensive accident insurance for both work-related and personal incidents
• Daily indemnity insurance for income protection during illness
• Access up to 12 free therapy sessions annually, plus legal and financial advice
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Switzerland, Veeam reserves the right to decline the application for this position.

#LI-DF1 #LI-REMOTE

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.

About the role

We are looking for a Staff Fullstack Software Engineer to play a key role in the design and implementation of our Cyberdigital white-labeled platform.

As a Staff Software Engineer, you’ll be in the middle of it all, acting as a leader and force multiplier – you’ll work with stakeholders to implement functionality, architect our systems, squash bugs, and continually grow as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. 

You will be responsible for collaborating with engineering leaders on the architecture direction and making sure you are supporting the team in adopting standards  and ensuring that user-facing platforms are robust, maintainable and secure. You will work closely with product management, UX, backend architects, and delivery teams to translate business and user needs into elegant technical solutions.

What you’ll do

• Full development life-cycle design from project requirement to deployment.
• Work on automation and improvement of data exchanges and data pipelines between internal and external teams.
• Facilitate the definition of project scope, deliverables, and goals.
• Lead cross-functional delivery teams to ensure deliverables are met.
• Track project performance against defined milestones/goals.
• Conduct process improvement projects to increase performance in vital program metrics.
• Communicate ongoing project health with key stakeholders and business leadership.
• Maintain strict compliance with established project management policies and guidelines.
• Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment.
• Make significant contributions to the code base.
• Define best practices and uphold coding standards.
• Consistently demonstrate extremely high levels of technical knowledge, ingenuity, and creativity. Develop and apply advanced technologies, engineering principles, theories, and concepts. Broad knowledge about the design and operation of systems outside of specialty.
• Work within the Engineering team to develop features that specifically benefit our users.
• Must be able to deliver high-quality code on schedule and communicate with groups in and outside the development team.

What you’ll need

• Bachelor’s Degree, Computer Science Degree, or equivalent from a fully-accredited college or university.
• 6+ years of Java programming experience.
• Our core stack is Java/React, and we run on Kubernetes in a microservices architecture.
• 3+ years of experience working in full stack, multi-channel products
• A proven understanding of web standards,performance, best practices, security and browser internals.
• Willingness to roll up your sleeves, collaborate with others, and get stuff done.
• Solid sense of responsibility; driving a project from inception to completion.
• Proven experience in production operations and support.
• Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests.
• Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment.

Technology requirements

• Experience with ReactJS 
• Experience with Java and NodeJS
• Solid understanding of web technologies and standards:
• Security best practices (XSS, CSRF, auth flows, secure storage, etc.)
• API integration (REST, GraphQL)
• JavaScript / TypeScript
• HTML5, CSS3, responsive design
• Modern build and tooling ecosystems (Webpack, Vite, npm/yarn/pnpm, etc.) 
• Mobile native/hybrid development (ReactNative, Cordova, Swift, Kotlin, Kotlin Multiplatform) 

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.

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Staff Engineer, you will work across multiple teams to evolve a suite of web and internal tools that enable utility companies to more effectively manage risks associated with climate change and wildfires.

We are seeking improvement in the following areas:

• Performance & Scalability: ensure that our product can handle 3x YoY growth 
• Accelerate time to value of new product capabilities
• Reduce the amount of manual work required to ingest vegetation analysis into our customer facing tools

At Overstory, our Staff Engineers are hands-on technical leaders whose influence extends beyond their team either through leading cross team initiatives, making technology choices for critical aspects of our technology platform or solving for critical technical challenges within teams enabling our business to achieve our rapid scaling plans (growing 3x YoY). 

This role will start off being primarily team scoped solving critical scaling challenges. There is scope to expand remit as we grow.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Technical Skills:

• Broad and deep understanding of system design with an ability to select the correct paradigm/technology given the situation and constraints.  
• Develops a deep understanding of our business domains and how technology can be applied to drive business impact. 
• Innovates and introduces new technologies or methodologies.
• Resolves complex technical challenges with innovative solutions.

Ownership:

• Leads cross-team initiatives or leads on architectural system design at team level
• Drives pragmatic technology choices/decisions making sensible trade offs in order to  balance current and future business needs.
• Defines coding standards and engineering best practices.
• Evaluates and recommends new tools and technologies.
• Hands-on contribution 

Leadership:

• Mentors and coaches engineers.
• Influences technical decisions at the organizational level.
• Collaborates with product managers and CTO to inform how technology can influence or enable the product strategy.

Skills & Experience

• Experience of working in a high growth scaleup environment 
• Product minded and able to demonstrate significant impact you have had on a business through the application of technology
• Proven experience of full stack development across the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines)
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Ability to design and implement scalable and resilient systems
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends

Nice To Have

• Demonstrated experience scaling large distributed architectures
• Experience working in a remote-first environment
• Experience working with satellite data and/or imagery

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

About the Role

As a hands-on Engineering Manager of one of our feature teams at Ledgy, you'll lead the engineers who build the features that help companies offer, manage, and communicate compensation and savings vehicles: from equity plans to pensions, carry, and beyond. Your team works on the products employees and companies use to make sense of complex compensation structures.

This is a good fit if you find it meaningful to work on features that are financially significant to the people using them, as getting compensation right matters. The work is domain-rich: these structures are complex, high-stakes, and varied. You'll report to the Head of Engineering and play a key role in expanding Ledgy's product coverage as companies increasingly look to offer diverse forms of compensation.

You'll Thrive in This Role If You

• Have 2+ years in Engineering Management and 6+ years as a Software Engineer, with meaningful time in product-focused or domain-heavy roles
• Are energised by features that have a direct, visible impact on end users — the things employees actually see and interact with
• Care deeply about correctness in domains where getting things wrong has real financial consequences
• Are comfortable with evolving scope — compensation takes many forms, and the product will grow to reflect that
• Actively use AI tools to multiply your output and are excited to help your team do the same — you see AI as a core part of how great engineering gets done today
• Love developing people and creating an environment where engineers can do their best work
• Want to stay hands-on — you're comfortable diving into the codebase, reviewing PRs with concrete feedback, and shipping yourself

What You'll Own

• Team Leadership: Setting technical direction for the team, running 1:1s and performance conversations, and supporting engineers in their growth.
• AI-Augmented Engineering: Modelling and promoting effective use of AI tools across your team — from coding assistants to automated workflows. You'll help engineers develop good instincts for where AI accelerates work and where human judgment matters most.
• Compensation & Savings Features: The product surface covering a range of compensation and savings vehicles — equity plans, pensions, carry, and more. Your team builds the logic and UX that makes these products usable for both companies and their employees.
• Employee-Facing Experience: Ensuring the features your team builds are not just correct, but clear and accessible to employees navigating complex compensation structures.
• Domain Breadth: As Ledgy expands into new compensation types, your team will be at the frontier, building the models and product experiences that bring them to life.

Our tech stack:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: Docker, GitHub Actions, GCP, Terraform Cloud, Kubernetes

What Your Journey Could Look Like

First 30 Days

• Build relationships with your direct reports and develop a solid understanding of the compensation domain, including what we support today and where we're headed
• Get hands-on with the codebase — review PRs and understand how the product models compensation and plan logic
• Meet PD leadership: CTO, Head of Engineering, Head of Product, and the other EMs
• Understand how your team's domain intersects with the rest of the platform

First 3 Months

• Own the team's delivery rhythm: roadmap reviews, sprint health, and unblocking engineers
• Identify and begin addressing the most complex or fragile areas of the domain
• Establish regular 1:1s and begin meaningful coaching conversations with your reports
• Partner with PM and Design on the roadmap for expanding compensation coverage

6–12 Months

• Be recognised as the technical leader for compensation and savings features at Ledgy
• Deliver measurable improvements to product quality, coverage, or the employee experience
• Lead performance reviews and meaningful career development conversations
• Be a trusted partner to product and engineering leadership on compensation strategy

The Interview Process

1. Getting to know you (30 min): Meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session (without AI) using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore domain modelling and product complexity based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about making compensation and savings products work for everyone
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.

Location
Our Sales Development Representative will be an integral part of our DoiT Cloud Intelligence (DCI) sales team. This role is fully remote. We are hiring for this position in EMEA in the UK, the Netherlands, Sweden, Germany and Switzerland. 

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. 

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity
As a Sales Development Representative for DoiT Cloud Intelligence (DCI), you will be responsible for outbound lead generation, including email, calling, and using LinkedIn to book demos with qualified prospects in your region. You’ll be on the front line of the sales team, collaborating closely with the regional Field Sales teams and progress the qualified pipeline with Account Executives (AE) by focusing on the primary metrics of qualified meetings booked and pipeline generated. We are looking for an agile, "startup-minded" individual who is ready to learn quickly and evolve as we scale. You will also build internal relationships with our sales, marketing, and cloud vendor teams. 

Responsibilities

• Set meetings via outbound prospecting through both automated and manually-driven campaigns to achieve daily and monthly pipeline targets.
• Partner closely with Account Executives to ensure tight alignment on territory planning, account prioritization, and feedback loops to maximize pipeline quality.
• Help build and refine our outbound motion by identifying and reaching decision-makers.
• Build, manage, and optimize multi-channel outbound campaigns at scale using various tools like LinkedIn Sales Navigator, ZoomInfo, Clay, etc. 
• Own the outbound process end-to-end, from detailed account research to ensuring a qualified meeting is successfully booked for the Account Executive team.
• Partner with leadership to refine messaging, call scripts, and multi-channel outreach strategies to improve conversion rates and outbound effectiveness.
• Support Regional GTM & Marketing activities across digital and onsite formats. 
• Clearly communicate compelling value propositions to technical buyers and stay current with the latest product and service information.
• Stay current with the latest offering/product/service information
• Some travel may be required 

Qualifications

• 1–3+ years of SDR/BDR experience in Cloud, preferably with a background in selling to technical decision makers such as CTO, VP Engineering or Head of DevOps.
• Proven experience selling SaaS B2B  or cloud products or services.
• Proven history of achieving and reaching for results in an outbound lead generation environment.
• Experience managing multiple priorities and juggling various tools or campaigns in a fast-paced, evolving environment.
• Goal-oriented and self-motivated mindset with the "grit" to work through challenges and multiply sales speed.
• Ability to exercise a high degree of autonomy and sales authority while remaining highly organized.
• Excellent written and verbal communication skills in English. Additional languages such as Swedish, German, and Dutch are a plus. 

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.  

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

Our engineering team is growing! We are looking for multiple senior full stack engineers to join our web product team(s) and help us scale our product suite. 

As a Senior Software Engineer at Overstory, you will have a direct impact on our mission by building new capabilities and features that in turn enable utility companies to more effectively manage risks associated with climate change, wildfires and storms. We will also look to you to effectively partner with product, design and tech leads on key initiatives and mentor other engineers from time to time. 

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Over the next 6-12 months you will contribute to:

• Performance & scalability: ensuring that our product can handle 3x year-over-year growth
• Velocity: accelerating time to value of new product capabilities
• Leverage: reducing the amount of manual work required to ingest vegetation analysis into our customer facing applications

Skills & Experience

• Proven experience of full stack development across the following (or similar) technologies: *Python/FastAPI, React/Typescript, Postgres DB, data pipelines; (*Python experience a core requirement)
• Recent experience working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Experience working in a high growth scaleup environment across distributed, remote teams 
• Deeply committed to tackling the climate crisis
• Possess a product mindset; deep understanding of leveraging technology to directly impact business outcomes
• Proven ability to design and implement scalable and resilient systems
• Excellent written and verbal communication skills; ability to effectively collaborate in a cross-functional team environment
• Committed to ongoing education, perpetual learning, mentorship; interested in evolving technologies and industry trends

Nice To Have

• Experience working with maps/imagery/geospatial domains  
• Experience working on globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

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? 

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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.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK

We are seeking a new Staff Software Engineer to join the Platform Engineering team of our Custody department. You'll play a key role in shaping our engineering practices, ensuring the reliability and performance of our platform across a multi-cloud environment, and empowering our engineering team to deliver innovative features with speed and efficiency. You will drive improvements in our automation, observability, and overall platform stability.

WHAT YOU'LL DO

• Design, build, and maintain scalable and resilient infrastructure across Cloud providers such as Azure, AWS, GCP and IBM Cloud.
• Automating work including infrastructure needs, testing, failover solutions, failure mitigation, and much more.
• Implement and manage monitoring, alerting, and logging systems to ensure system visibility.
• Develop and maintain our CI/CD pipelines using GitLab CI.
• Proactively identify and resolve potential performance bottlenecks and reliability issues.
• Participate in on-call rotations to address production incidents and provide support for service engineers with customer incidents.
• Collaborate closely with development teams to integrate and deploy services efficiently.
• Contribute to the development and maintenance of our internal platform tools and services.
• Lead the implementation of standard methodologies for DevOps and SRE within the engineering organization.
• Document processes and procedures.
• Automate any software maintenance processes which previously required a manual procedure.

WHAT YOU'LL BRING

• 10+ years’ experience with software engineering, platforming engineering or system operations on high available and high traffic environments
• Strong experience with Linux-based infrastructures, Linux/Unix administration
• Experience with databases such as PostgreSQL
• Experience administering Linux servers as well as docker based infrastructure (like Kubernetes, AKS, etc.) in a highly available environment
• Experience of scripting languages such as Go or Bash
• Experience with message broker/queue technologies like RabbitMQ, AMQP 1.0
• Experience with modern monitoring, logging and observability tools in complex distributed systems such as with Application Insights, Grafana, Elastic stack, Datadog, Prometheus, etc
• Practical experience with infrastructure-as-code (with tools like Terraform)
• Familiarity with GitOps deployment practices using ArgoCD or Flux
• Good understanding of cybersecurity fundamentals and best practices
• Troubleshooting skills with the ability to spot issues before they become problems
• Excellent problem-solving and communication skills
• Committed to processes, with excellent documentation skills and a strong ability to work well in a team!

Location
Our Account Executive will be an integral part of our New Business DoiT Cloud Intelligence (DCI) Sales team in EMEA. This role is based remotely in Switzerland.

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. 

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 

The Opportunity
As an Account Executive for DoiT Cloud Intelligence (DCI), you will apply best-in-class pipeline generation techniques to identify new prospects across the Startup, Digital Native and Enterprise segment. You will be responsible for solution pitching, end-to-end deal management, negotiations and closing complex technical partnerships. Using your passion and knowledge of both DoiT’s services and the customers chosen cloud technology,  you will drive expansion of the business.

Responsibilities

• Own the full sales cycle, consistently hitting (and exceeding) quota and pipeline targets.
• Develop and execute a regional strategy to identify high-growth opportunities and untapped markets.
• Cultivate deep, symbiotic relationships with AWS Sales Leaders and Partner Managers to co-sell and maximize market share.
• Partner with our Forward Deployed Engineers and Solutions Architects to solve "unsolvable" technical hurdles for prospects.
• Maintain a rigorous standard for forecast accuracy in Salesforce and ensure all proposals reflect DoiT’s high-caliber brand.
• Guide customers from initial curiosity to successful contract execution, ensuring a world-class onboarding experience.
• Work hand-in-hand with Marketing and BDR teams to fuel demand generation, from campaign conception to post-launch analysis.
• Travel with purpose (30-50%) to engage with AWS teams, attend industry events, and meet customers face-to-face.

Qualifications

• BA/BS degree or equivalent practical experience.
• 3-5 years of full sales cycle experience (preferably in a New business focussed role) in the technology industry with SaaS, PaaS or IaaS products and platforms.
• A proven track record of selling cloud services and understanding the nuances of consumption-based models.
• Consistent record of meeting and exceeding sales quotas
• High degree of self-discipline and experience of using CRM systems and sales forecasting
• Technically minded, with an in-depth understanding of the technology and cloud computing market, and a passion for AWS products.
• You are an entrepreneur at heart—independent, curious, and tenacious. You don't just wait for leads; you create them.
• Ability to build influential relationships within a matrixed environment and grow social circles that turn into partnerships.
• Self-organized, Goal-oriented, self-motivated individual who is confident, thorough and tenacious
• Analytical, Data-driven, detail-oriented and able to “zoom” in/out from the big picture to the minutiae.
• Ability to effectively operate flexibly and independently in a fast-paced, constantly evolving team environment.
• Excellent communication and presentation skills in English and German, both written and verbal.
• A great sense of humor and enjoys having fun at work

Bonus Points

• Regional network and relationships with Startups, VC and Technology communities. 
• Proven experience selling AWS  cloud products/services.
• Cloud Certifications
• Additional languages.

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page. 

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.

As a Data Engineer, you‘ll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results.

Your Core Responsibilities:

• Collaborate on developing market and trading data pipeline systems, both in batch mode and streaming mode.
• Extend data pipelines to multiple exchanges/platforms and across different areas of application.
• Work closely together with other engineers and researchers, providing efficient data solutions for our research and trading operations.

Your Skills and Experience:

• Masters in Computer Science, Mathematics, Physics or a related technical field. Industry experience in big data would be a big plus.
• Skills in data pipeline technologies such as Clickhouse, Flink and Kafka. Experience with Kubernetes is a plus.
• Proficient programming experience in Java/Scala & Python, C++ being a plus.
• You are absolutely fluent in English and enjoy working in an international team.
• You are eager to design, develop, test, deploy, maintain and improve software.

Location and Office Culture:

• IMC office in Zug, Switzerland
• Note that this is an onsite role, with some but limited flexibility for working from home
• You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
• One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
• We give people lots of responsibility and the support they need to make an impact from day one
• We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices

Key Responsibilities

1. Infrastructure Management: Provision, maintain, and upgrade AWS and EKS infrastructure using tools like kubectl, Kustomize, and Helm.
2. Automation & IaC: Develop and document reusable Terraform and Terragrunt modules to automate deployments, backups, and routine maintenance.
3. CI/CD & GitOps: Build and refine CI/CD pipelines using GitHub Actions and GitOps workflows, specifically leveraging ArgoCD (including app-of-apps and ApplicationSets).
4. Monitoring & Reliability: Monitor performance and logs via DataDog and AWS CloudWatch, troubleshoot incidents, and take full ownership of the long-term reliability of the systems you build.
5. Data Platform Support: Support data engineers by operating and improving data platforms or data-adjacent infrastructure (e.g., Airflow/MWAA, SQLMesh) in production environments.
6. Streaming Systems: Support and maintain streaming or real-time data systems to ensure consistent data flow and system uptime.
7. Cost Optimization: Analyze cloud spend using AWS Cost Explorer and Infracost to identify waste and implement cost-saving measures.
8. Operational Support: Assist developers with daily operational needs and maintain security/RBAC and resource efficiency within Kubernetes environments.

As a DevOps Engineer, you are responsible for maintaining and optimizing our AWS and Kubernetes infrastructure to ensure high reliability, security, and scalability. You will focus on driving cost efficiency, accelerating deployment cycles for developers, and piloting emerging tools that deliver measurable value to the organization.

Technical Requirements

1. Kubernetes: Production-level experience with EKS, including Helm and Kustomize.
2. Infrastructure as Code: Proficiency in Terraform and Terragrunt.
3. Cloud & Data Systems: Hands-on experience with the AWS Ecosystem (EC2, ECR, RDS, MSK) and experience operating production data platforms or streaming systems.
4. GitOps: Proven experience with ArgoCD and GitHub Actions automation.
5. Tools: Familiarity with DataDog, MongoDB, and AI-assisted tools like Claude CLI or GitHub Copilot.

Attributes: An intrinsic desire to learn and fill in missing skills, with a proactive approach to conducting proof-of-concepts for new DevOps practices.

About the Role

As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.

This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.

You'll Thrive in This Role If You

• Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
• Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
• Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
• Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
• Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
• Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
• Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles

What You'll Own

• Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
• CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
• Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
• Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
• AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.

Our tech stack:

We have a modern, cohesive stack that lets us move fast while maintaining quality:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions

What Your Journey Could Look Like

First 30 Days

• Build meaningful relationships with your direct reports and understand their career aspirations
• Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
• Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
• Join the engineering leadership team and understand how we translate product vision into technical reality
• Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are

First 3 Months

• Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
• Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
• Have regular 1:1s with your reports and support them in their growth
• Shape platform strategy alongside the Head of Engineering and CTO
• Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items

6–12 Months

• Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
• Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
• Lead meaningful career development conversations and conduct performance reviews
• Own engineering initiatives that influence how the entire organisation ships software
• Be a trusted partner to product and engineering leadership on technical direction

The Interview Process

1. Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore CI/CD, infrastructure, and scaling aspects based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.

The role

We are looking for an Engineering Manager to lead our CyberDigital squad in Switzerland.  You will play a pivotal role in helping create and share the engineering culture on a new team.

You have experience leading the design, implementation and operations of multi-channel platforms that can be managed or deployed on-prem. You excel at aligning business goals and technical requirements while providing clarity in risk management and trade-offs. As an Engineering Manager you will also be responsible for nurturing the career and professional development of a team of up to 10 engineers of various levels and skillsets

What you’ll do

• Own the team’s technical vision and timely delivery execution of commitments
• Create sustainability and collective ownership for the squad
• Collaborate closely with cross-functional leaders to ensure alignment and proactively communicate progress.
• Understanding of the technical complexities of creating a multi-channel, white-labeled global digital banking platform.
• Ensure reliable, secure, and scalable engineering practices
• Foster a culture of technical excellence, ownership, and customer-centric thinking
• Ability to provide team predictability and collaborate with leadership in scope and capacity planning exercises.
• Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment.

What you’ll need

• Bachelor’s Degree, Computer Science Degree, or equivalent from a fully-accredited college or university.
• 6+ years of Java programming experience.
• Our core stack is Java/React, and we run on Kubernetes in a microservices architecture.
• 3+ years of experience working in full stack, multi-channel products
• A proven understanding of web standards,performance, best practices, security and browser internals.
• Willingness to roll up your sleeves, collaborate with others, and get stuff done.
• Solid sense of responsibility; driving a project from inception to completion.
• Proven experience in production operations and support.
• Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests.

Technology requirements

• Experience with ReactJS 
• Experience with Java and NodeJS
• Solid understanding of web technologies and standards:
  
  
• Security best practices (XSS, CSRF, auth flows, secure storage, etc.)
• API integration (REST, GraphQL)
• JavaScript / TypeScript
• HTML5, CSS3, responsive design
• Modern build and tooling ecosystems (Webpack, Vite, npm/yarn/pnpm, etc.) 
• Mobile native/hybrid development (ReactNative, Cordova, Swift, Kotlin, Kotlin Multiplatform) 

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.

As a Python Software Engineer, you will work closely with our trading and engineering teams on a variety of applications, tools and automation projects. You’ll be placed in an environment consisting primarily of a large Python analysis ecosystem drawing data from various sources including our own trading systems. You’ll build analysis & visualisation tools at the heart of the business logic, in close collaboration with the traders who use them. Your work involves both interpreting ideas, coming up with your own, and efficiently implementing these into tools that are reliable, scalable and performant.

Together with traders, researchers and engineers, you deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable and scalable software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between throughput, simplicity, scalability and maintainability.

Your Core Responsibilities: 

• Collaborate closely with researchers, and engineers to deliver challenging projects.
• Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research.
• Curate, transform, and present data in clear, accessible formats for traders and researchers.
• Take ownership of end-to-end product development, from requirements gathering to production deployment
• Navigate a complex landscape of diverse systems and technologies, making informed trade-offs between throughput, simplicity, scalability, and maintainability

Your Skills and Experience:

• Master’s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 2–3 years of professional Python development experience
• solid computer science knowledge, has experience or capability to quickly adapt to additional languages such as Java, Scala, C++, Go, etc.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
• Proven ability to handle large datasets, architect and optimize data pipelines, and present data effectively.
• Experience with orchestration and containerization tools like Kubernetes and Docker is a plus.
• Solid grounding in calculus, probability, statistics, and optimization; familiarity with machine-learning techniques is beneficial.

Location and Office Culture:

• IMC office in Zug, Switzerland
• Note that this is an onsite role, with some but limited flexibility for working from home
• You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
• One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
• We give people lots of responsibility and the support they need to make an impact from day one
• We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices

As a Staff Solutions Architect at Upbound, you own the technical success of our customers. You are the primary driver of customer outcomes, from initial implementation through production adoption, ensuring customers achieve real business value with Crossplane and the Upbound platform. This is a deeply technical, hands-on role embedded in the post-sales motion, working closely with customers to deliver working solutions, not just guidance.

In this role, you will Own: 

Customer Technical Outcomes

• Drive end-to-end technical success for a portfolio of enterprise customers, from post-sales handoff through production adoption.
• Own the implementation of known Upbound use cases — control plane architectures, Upbound/Crossplane configurations, GitOps integration, platform engineering patterns — and ensure customers reach their target state.
• Define and track technical milestones that map to customer business objectives and contract value.
• Act as the primary technical escalation point when customers face blockers, coordinating engineering and product resources to resolve them.

Implementation & Architecture

• Lead technical discovery to deeply understand customer environments, platform requirements, and target architecture.
• Design and deliver Crossplane-based control plane architectures tailored to customer infrastructure and organizational context.
• Build and maintain reference platforms and implementation accelerators that codify Upbound best practices and reduce time-to-value for common use cases.
• Contribute Statements of Work that accurately scope implementation engagements.
• Write code, fix bugs, and build scoped features within Upbound products, provider ecosystem, and Crossplane core where needed to unblock customers.

Technical Voice of the Customer

• Represent customer technical needs internally to influence product roadmap and prioritization.
• Partner with pre-sales SEs to ensure smooth, informed handoffs with full context on customer environment and expectations.
• Identify expansion opportunities as customer technical maturity grows and new Upbound capabilities become relevant.

You are a good fit if you have: 

• Hands-on Kubernetes expertise — operators, controllers, or add-ons; production deployment and management experience.
• Platform engineering or SRE background, with direct experience building or operating an Internal Developer Platform (IDP).
• Deep familiarity with cloud-native tooling: CNCF ecosystem, IaC (Terraform/Pulumi), GitOps (Flux/ArgoCD), CI/CD pipelines.
• Experience across at least two major cloud providers (AWS, GCP, Azure) at production scale.
• Strong programming skills; Go is strongly preferred.
• Proven track record of leading customers through complex technical implementations to successful, measurable outcomes.
• Excellent communication skills — comfortable presenting architecture and trade-offs to both engineering teams and executive stakeholders.
• Able to manage multiple customer engagements simultaneously in a fast-moving startup environment.

It is a plus if: 

• Crossplane power user — contributions to core or the provider ecosystem are very appreciated [for many reasons]
• Active Kubernetes community involvement: contributions, conference talks, technical writing, or open source maintainership.
• CKA or CKAD certification.
• Prior startup, familiarity with coding agents and distributed team experience.

 #LI-REMOTE