Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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 Role

This is an opportunity to join a world-leading engineering team working on the design and development of new features across Pico’s entire product range. Our Redline Trading Solutions provides ultra-low latency market data and order execution solutions that solve the toughest latency and throughput challenges in today’s equities, options, futures and foreign exchange markets. Our Corvil Analytics technology is used extensively by market participants to understand various aspects of their performance and execution, at both network and business level, in real-time and retrospectively. We are at a tremendously exciting stage with extensive, on-going innovative work and an exciting vision to fulfil

We need brilliant engineers to help bring this technology into new markets and new deployment models. If you want to work with a team of highly skilled engineers where learning and innovation are everyday activities, if you want to solve the problems encountered when normalizing and analysing the firehose of data in real time – then Pico is what you are looking for.

Requirements:

• BSc/MSc in a relevant Engineering disciple (Computer Science, Computer Engineering, Electrical Engineering, Maths, Physics, etc)
• A strong proficiency in C development under Linux
• Knowledge of high-performance systems and multi-threaded application development
• Insatiable appetite for problem-solving and learning about technology
• Team player - excels in a collaborative environment while using initiative to the team’s benefit
• Extensive knowledge of computer architectures
• Focus on writing maintainable code
• Excellent customer service attitude, communication skills (written and verbal), and interpersonal skills
• Ability to ask for help, take advice, and incorporate constructive feedback
• Ability to articulate the reasoning behind decisions or trade-offs
• This role is office-based, minimum expectation is hybrid office/remote work.

Experience/Knowledge of the following is desirable:

• Knowledge of Financial trading concepts (orders, trades, quotes, etc) and protocols, including FIX.
• Automated testing (unit testing, integration testing)
• Multiple Linux-based development environments, including tools such as gdb and valgrind
• Python programming
• Java programming
• Continuous Integration (Jenkins), including the delivery of CI aligned test automation
• IP networking
• Packet capture analysis using tools such as Wireshark

Working Arrangements 

This is a Hybrid position with weekly time in the office with the flexibility of working from home. Though travel may be required from time to time, it is not expected to be regular or frequent. 

IMPORTANT DATA PRIVACY INFORMATION:

This position is available with PICO GLOBAL LTD. The controller of your personal data will be PICO GLOBAL LTD.

Given the nature of the job, the position and the nature of the employer and the services it provides, we are entitled to possibly check the candidates' criminal record, as required by law and other regulations applicable to us.

For further information on what personal data we collect, how we will process your personal data and your rights with respect to your personal data please read our Pico Job Candidate Privacy Notice, View Here.

The Role

This is an opportunity to join a world-leading engineering team working on the design and development of new features across Pico’s entire product range. Our Redline Trading Solutions provides ultra-low latency market data and order execution solutions that solve the toughest latency and throughput challenges in today’s equities, options, futures and foreign exchange markets. Our Corvil Analytics technology is used extensively by market participants to understand various aspects of their performance and execution, at both network and business level, in real-time and retrospectively. We are at a tremendously exciting stage with extensive, on-going innovative work and an exciting vision to fulfil

We need brilliant engineers to help bring this technology into new markets and new deployment models. If you want to work with a team of highly skilled engineers where learning and innovation are everyday activities, if you want to solve the problems encountered when normalizing and analysing the firehose of data in real time – then Pico is what you are looking for.

Requirements:

• BSc/MSc in a relevant Engineering disciple (Computer Science, Computer Engineering, Electrical Engineering, Maths, Physics, etc)
• A strong proficiency in C development under Linux
• Knowledge of high-performance systems and multi-threaded application development
• Insatiable appetite for problem-solving and learning about technology
• Team player - excels in a collaborative environment while using initiative to the team’s benefit
• Extensive knowledge of computer architectures
• Focus on writing maintainable code
• Excellent customer service attitude, communication skills (written and verbal), and interpersonal skills
• Ability to ask for help, take advice, and incorporate constructive feedback
• Ability to articulate the reasoning behind decisions or trade-offs
• This role is office-based, minimum expectation is hybrid office/remote work.

Experience/Knowledge of the following is desirable:

• Knowledge of Financial trading concepts (orders, trades, quotes, etc) and protocols, including FIX.
• Automated testing (unit testing, integration testing)
• Multiple Linux-based development environments, including tools such as gdb and valgrind
• Python programming
• Java programming
• Continuous Integration (Jenkins), including the delivery of CI aligned test automation
• IP networking
• Packet capture analysis using tools such as Wireshark

Working Arrangements 

This is a Hybrid position with weekly time in the office with the flexibility of working from home. Though travel may be required from time to time, it is not expected to be regular or frequent. 

IMPORTANT DATA PRIVACY INFORMATION:

This position is available with PICO GLOBAL LTD. The controller of your personal data will be PICO GLOBAL LTD.

For further information on what personal data we collect, how we will process your personal data and your rights with respect to your personal data please read our Pico Job Candidate Privacy Notice, View Here.

Be a part of Pico Family

Pico is an equal opportunity employer. Pico does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at Pico are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

What you’ll do

• Lead the design and build-out of cross-product data services for multiple product lines from one governed data plane.
• Define the “customer data plane” model: canonical customer identifiers, shared dimensions, and consistent facts used across products.
• Build and operationalize ingestion patterns for batch, streaming, and event data, with repeatable onboarding for new sources.
• Own the operational playbook for data reliability: data contracts, quality checks, lineage, monitoring, and incident response.
• Implement and run access methods that make data usable: curated datasets, secure query interfaces, and product-ready data APIs where needed.
• Productize customer-facing data products (datasets, metrics, exports, and feeds) with versioning, documentation, and clear ownership.
• Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning.
• Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision-making.
• Enable AI automation by delivering reliable, low-latency, governed data products that can be used safely in automated workflows.
• Partner closely with product, engineering, and security stakeholders to align data products to roadmap priorities and customer outcomes.
• Raise the technical bar through architecture reviews, standards, and mentoring—while staying hands-on in key systems.

Required

• Significant experience building and operating production data platforms at scale, including on-call and operational ownership.
• Strong SQL skills and strong Python skills, used to build pipelines, services, and automation.
• Hands-on experience running cloud systems on AWS and Google Cloud (IaaS level: compute, storage, networking, IAM).
• Practical experience with both operational databases (RDS-style) and analytics stores (columnar/OLAP), including performance tuning.
• Strong data modeling ability, including schema evolution, conformed dimensions, and “one source of truth” metric definitions.
• Track record of delivering data products that other teams or customers depend on, with clear contracts and reliability expectations.
• Ability to make sound engineering tradeoffs across latency, accuracy, cost, and security without creating brittle complexity.
• Experience with lakehouse patterns and open table formats (or similar), including governance and table maintenance.
• Experience with orchestration and streaming systems used in production (batch + real-time), and managing backfills safely.
• Familiarity with ML data needs (training/serving splits, feature-ready datasets, evaluation datasets) and AI-adjacent workflows.

Preferred

• Experience building self-service data platforms (catalog, discoverability, access controls) used by multiple teams.
• Experience in regulated or security-sensitive environments, including retention, auditing, and data access controls.

Work model, location & travel

• Location: Belfast, UK
• Reports to: VP of Data Engineering
• Work model: Hybrid (details TBD)
• Collaboration hours: Flexible; overlap with UK and US time zones
• Travel: Minimal

What you’ll do 

• Design and build data pipelines and datasets supporting one or more product areas within an established, governed data platform.
• Implement ingestion patterns for batch, streaming, and event data, onboarding new data sources using existing frameworks and standards.
• Build and maintain reliable data pipelines with appropriate data quality checks, basic lineage, monitoring, and alerting.
• Develop curated datasets and views that are secure, discoverable, and ready for analytics, reporting, and downstream consumption.
• Contribute to customerfacing data products such as datasets, metrics, exports, or feeds, ensuring accuracy and clear documentation.
• Implement data models for both operational databases and analytics stores, following agreed modelling conventions and best practices.
• Support ML and analytics use cases by producing trusted training datasets and featureready outputs with consistent definitions.
• Optimize pipeline performance, cost, and reliability within defined architectural patterns.
• Collaborate with product managers, engineers, analysts, and security partners to deliver data solutions aligned to roadmap needs.
• Participate in oncall rotations and operational support for data services owned by the team.
• Contribute to technical discussions, code reviews, and continuous improvement of data engineering practices. 

Required 

• Solid experience building and operating production data pipelines and datasets in a cloud environment.
• Strong SQL skills and working Python experience for building data pipelines, transformations, and automation.
• Handson experience with cloud platforms (AWS or Google Cloud), including core services such as compute, storage, IAM, and networking.
• Experience working with both operational databases (e.g., RDSstyle systems) and analytics or columnar data stores. 

The Data Science group serves under the Black Duck Data Engineering organization as a center of excellence in data analysis, statistical interpretation, machine learning engineering, attribution analysis and operational metric review.

Our core purview is the application of historical data to drive future decision making, and to develop and maintain machine learning and analytical tools to improve service delivery and advise operational processes.

We also serve as mediators of meaning across Black Duck, and as custodians of a shared data ecosystem.

This ecosystem serves to empower data consumers to explore client-operational and service-ops data in more intuitive ways, and supports their ability to share and collaborate on best practices for using this data in truthful, responsible, ethical and efficient ways.

Our Values

• Trust: Our work has no value if it is not trusted by our colleagues/customers, or if our work is not respectable. We will always rather be late than incorrect.
• Collaboration: We have a “very specific set of skills”, however we should humbly respect the subject matter experts we work with in their fields of expertise; we’re experts shuffling bits around faster/better/smarter, but they do the real work.
• Results: For our work to have value, it must speed up, augment, or replace, a current decision making process, or to demonstrate a new product/operational opportunity. While the “value” of a result may not be known for a long time, we are still outcome-driven.
• Curiosity: Exploration and Experimentation is at the heart of what we do, and we empower each other with the freedom to explore, and possibly get lost in, longer term research projects than other groups. However, even those dead ends have value when they’re written up. (It’s not science unless you write it down)
• Fun: We’re in this business because we enjoy the strange and often incongruous world of data, and what that data can tell us about ourselves. Revel in the comedy of your mistakes and discoveries, and share them with abandon.

About the Role

As a Data Engineer/Scientist, you will be a custodian of our cross-functional data regime, and a driver of innovative uses of Data across our cybersecurity platforms, ranging from predictive analytics and customer behavioural analysis, through to training customised machine learning

models on continuously evolving feedback streams from data and decisions that really matter to our thousands of customers that rely on our security assessments for safety, stability, and often, sleep.

The ideal candidate is a self-starter who is enthusiastic about exploring new technologies. They also enjoy helping their peers and their organization remain at the forefront of our industry by identifying and helping implement the latest industry best-practices that boost our organization’s productivity and team members’ experience.

The role is primarily based around our Belfast R&D Site, but UK/EMEA remote or hybrid applicants will be considered. At least Quarterly travel to the Belfast R&D Site is expected, and additional travel / conference opportunities may be available depending on your impact and collaboration.

Key Responsibilities:

• Developing and maintaining analytical data pipelines from a range of sources, internal and external
• Participate in system design discussions and contribute to architectural decisions.
• Evaluating new analytical / technological opportunities for leveraging those data for security/business impact
• Leading projects from research through to production deployment and operational handover to appropriate teams
• Partnering with R&D and Engineering teams to develop and share best practices for data tooling, from pipelines and dashboards to ML and LLM integration

Key Qualifications:

• 5+ years of experience working in Data Science, AI/Data Engineering, Data Operations, DevOps, Business Analytics, or a related field
• BSc Or MSc in Computer Science, Data Science, Artificial Intelligence, Math, Physics, Engineering or related field/degree
• Experience in a relevant analytical programming language the point where you can build / deliver a project/module from scratch that can be used by others (Python is our main daily-driver, expert-level experience in Julia or Rlang could be accepted
•  Experience in Jupyter Notebook / equivalents
• Experience in Airflow, DBT, Databricks, or equivalent stacks
• Experience in the PyData / Spark or equivalent analytical stacks
• Familiarity with Cybersecurity Governance, Application Security Testing, Quality Assurance or similar
• Experience in data modelling and working with RDBMS (PostgreSQL, Oracle or MySQL) and knowledge of NoSQL databases (e.g. MongoDB)
• Experience with Machine Learning and AI systems
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
• Independent project operation and cross-functional collaboration
• Strong or Developing communication skills (in-person and remote)

Nice to have:

• Familiarity with Data Mesh/Data Product concepts
• Experience in operating in Linux Command line environments
• Experience in Langchain or equivalent Agentic development stack
• Experience in training custom Machine Learning models, including familiarity with evaluation criteria and metric design
• Experience in integrating AI capabilities into software systems, including prompt engineering, API integration, and leveraging LLM-based services for automation and productivity
• Experience in Enterprise Data Visualisation such as Power BI, Tableau, Grafana, DataBricks, Snowflake etc.
• Experience deploying ML/AI models in production environments/workloads
• Experience in developing/working within large enterprise applications using microservices architecture, and container orchestration technologies, running on Kubernetes and/or cloud technologies (AWS, Azure or GCP)
• Experience in software architecture, systems design, interaction design (to the point where you can have constructive conversations with security / architecture leaders)

Business Insider is hiring a Cloud Engineer III to join our Cloud Engineering team dedicated to building and supporting scalable, secure and resilient infrastructure in AWS and other cloud providers.

Business Insider is for people who are driven, optimistic and always looking forward. Our mission is to inspire action through thought-provoking stories. We tell our audience what they want and need to know to improve their lives and the world with storytelling that is accessible, smart, sometimes unexpected, and always helpful. Our team members embody and uphold Business Insider’s three core values: we are all one team, we are effective, and we get better every day.

Our Cloud Engineering team is one of collaboration, innovation, and continuous improvement.

The Role & Team:

As a Cloud Engineer, you will contribute to the design, implementation, and optimisation of our cloud infrastructure, playing a pivotal role in the ongoing success of our tech teams, our writers and editors and the readership of the largest business news site in the world.

You will collaborate with cross-functional teams to ensure the effectiveness of our DevOps culture, troubleshoot application and system issues and add minimal complexity to monitor, deploy and scale our continuously growing environment.

This role reports directly to the Director of Cloud Engineering and sits on the Cloud Engineering Team. This role will be based in Belfast and offers an in office or work from home / hybrid opportunity. 

Key Responsibilities:

• Collaborate on the design and implementation of scalable and secure cloud infrastructure solutions on AWS.
• Managing and enhancing our global AWS services and infrastructure, adhering to security best practices.
• Working closely with cross-functional teams to foster an effective DevOps culture.
• Troubleshooting application and system issues in collaboration with feature team engineers, communicating status to the broader team.
• Implementing minimal complexity to monitor, deploy, and scale a continuously growing environment.

The Ideal Candidate Has:

• Demonstrable knowledge of building and supporting cloud applications at scale.
• A positive attitude and ability to contribute effectively to discussions.
• Professional experience with AWS and Elastic Kubernetes Service.
• A high degree of comfort in deploying cloud native applications using Terraform and Kubernetes and the ability to evaluate emerging technologies.
• Proficiency in coding in a modern programming language.
• Familiarity with DevOps practices and tools.

Salary & Benefits:

• Market leading salary (dependent on skills, experience, and competencies)
• Hybrid flexible working - our amazing City Centre office or your home, the choice is yours.
• 25 days annual leave + Bank Holidays
• Unrivalled culture and working environment with regular socials and company events
• Private Medical Insurance
• Health cash plan 
• Life assurance 
• Employee assistance programme
• Highly competitive family leave policies and access to our family benefits platform, Maven, offering support for employee preconception, pregnancy & postpartum.

Business Insider is committed to providing equal employment opportunities and, when making employment  decisions, does not discriminate based on race, ethnicity, gender, gender identity or expression, sex, sexual orientation, age, nationality or national origin, religion, disability, familial status, and military or veteran status. We encourage members of traditionally underrepresented groups to apply.

Business Insider is a subsidiary of Axel Springer SE, a family-owned transatlantic media company headquartered in Berlin and New York. Axel Springer is dedicated to shaping the future of journalism in the free world, believing that a free and informed society is essential to democracy. The company’s guiding principles – first articulated as The Essentials by founder Axel Springer in the aftermath of World War II – remain a cornerstone of the company’s foundation today. Learn more about Axel Springer.