The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Opportunity 

The DevSecOps Engineer role has been created to embed security into our engineering, DevOps and cloud delivery pipelines. Working closely with our Development, DevOps, Infrastructure and Security teams, you will engineer, automate and maintain security controls across our CI/CD pipelines, cloud workloads and application lifecycle. 

This position is critical in uplifting our secure by design practices, reducing vulnerabilities, and ensuring our rapidly evolving development environments adhere to best-in-class security standards. (Infosec presentations highlight the explicit gap for DevSecOps capability and security integration into Dev and Cloud projects).

Key Responsibilities

• Integrate security controls into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or equivalent). 
• Implement automated SAST, SCA, DAST, container scanning and secrets management controls. (Referenced in secure development lifecycle expectations.)   
• Work with Development and DevOps teams to ensure secure design principles, threat modelling and secure coding practices are embedded early in the lifecycle. 
• Engineer and maintain tooling for vulnerability management across code, containers, pipelines and cloud workloads. 
• Automate security guardrails across Azure resources, Kubernetes clusters, API gateways, serverless workloads and service meshes. 
• Support and enhance the deployment of security policies (IAM, key vaults, network controls, hardening baselines). 
• Partner with engineering squads to review architecture changes and ensure security requirements are addressed. 
• Contribute to incident response activities where application or pipeline security is implicated. 
• Contribute to uplift of our secure engineering policies, developer training and SSDLC processes. (Supports expectations stated in internal assessments and training docs).

Requirements:

• Experienced in DevOps or platform engineering with a strong security mindset. 
• Hands-on experience with at least one CI/CD platform (Azure DevOps preferred). 
• Good understanding of application security principles (OWASP Top 10, SANS/CWE Top 25). 
• Experience integrating or running security scanners: SAST, SCA, DAST, container scanning, IaC scanning. 
• Experience with infrastructure as code (Terraform, ARM/Bicep, Helm). 
• Familiar with cloud security (preferably Azure) and container security best practices. 
• Capable of supporting vulnerability management processes and remediation workflows. 
• Ability to collaborate with Software Engineering, DevOps, SRE, Cloud and Security teams. 
• Strong communicator able to translate risk into engineering friendly language. 

Nice to Have:

• Kubernetes (AKS), service mesh, container runtime security. 
• Experience integrating security telemetry into SIEM/SOAR pipelines. 
• Exposure to Zero Trust design principles. 
• Threat modelling and automated security testing frameworks. 

The Opportunity 

The DevSecOps Engineer role has been created to embed security into our engineering, DevOps and cloud delivery pipelines. Working closely with our Development, DevOps, Infrastructure and Security teams, you will engineer, automate and maintain security controls across our CI/CD pipelines, cloud workloads and application lifecycle. 

This position is critical in uplifting our secure by design practices, reducing vulnerabilities, and ensuring our rapidly evolving development environments adhere to best-in-class security standards. (Infosec presentations highlight the explicit gap for DevSecOps capability and security integration into Dev and Cloud projects).

Key Responsibilities

• Integrate security controls into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or equivalent). 
• Implement automated SAST, SCA, DAST, container scanning and secrets management controls. (Referenced in secure development lifecycle expectations.)   
• Work with Development and DevOps teams to ensure secure design principles, threat modelling and secure coding practices are embedded early in the lifecycle. 
• Engineer and maintain tooling for vulnerability management across code, containers, pipelines and cloud workloads. 
• Automate security guardrails across Azure resources, Kubernetes clusters, API gateways, serverless workloads and service meshes. 
• Support and enhance the deployment of security policies (IAM, key vaults, network controls, hardening baselines). 
• Partner with engineering squads to review architecture changes and ensure security requirements are addressed. 
• Contribute to incident response activities where application or pipeline security is implicated. 
• Contribute to uplift of our secure engineering policies, developer training and SSDLC processes. (Supports expectations stated in internal assessments and training docs).

Requirements:

• Experienced in DevOps or platform engineering with a strong security mindset. 
• Hands-on experience with at least one CI/CD platform (Azure DevOps preferred). 
• Good understanding of application security principles (OWASP Top 10, SANS/CWE Top 25). 
• Experience integrating or running security scanners: SAST, SCA, DAST, container scanning, IaC scanning. 
• Experience with infrastructure as code (Terraform, ARM/Bicep, Helm). 
• Familiar with cloud security (preferably Azure) and container security best practices. 
• Capable of supporting vulnerability management processes and remediation workflows. 
• Ability to collaborate with Software Engineering, DevOps, SRE, Cloud and Security teams. 
• Strong communicator able to translate risk into engineering friendly language. 

Nice to Have:

• Kubernetes (AKS), service mesh, container runtime security. 
• Experience integrating security telemetry into SIEM/SOAR pipelines. 
• Exposure to Zero Trust design principles. 
• Threat modelling and automated security testing frameworks. 

The Opportunity 

The DevSecOps Engineer role has been created to embed security into our engineering, DevOps and cloud delivery pipelines. Working closely with our Development, DevOps, Infrastructure and Security teams, you will engineer, automate and maintain security controls across our CI/CD pipelines, cloud workloads and application lifecycle. 

This position is critical in uplifting our secure by design practices, reducing vulnerabilities, and ensuring our rapidly evolving development environments adhere to best-in-class security standards. (Infosec presentations highlight the explicit gap for DevSecOps capability and security integration into Dev and Cloud projects).

Key Responsibilities

• Integrate security controls into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or equivalent). 
• Implement automated SAST, SCA, DAST, container scanning and secrets management controls. (Referenced in secure development lifecycle expectations.)   
• Work with Development and DevOps teams to ensure secure design principles, threat modelling and secure coding practices are embedded early in the lifecycle. 
• Engineer and maintain tooling for vulnerability management across code, containers, pipelines and cloud workloads. 
• Automate security guardrails across Azure resources, Kubernetes clusters, API gateways, serverless workloads and service meshes. 
• Support and enhance the deployment of security policies (IAM, key vaults, network controls, hardening baselines). 
• Partner with engineering squads to review architecture changes and ensure security requirements are addressed. 
• Contribute to incident response activities where application or pipeline security is implicated. 
• Contribute to uplift of our secure engineering policies, developer training and SSDLC processes. (Supports expectations stated in internal assessments and training docs).

Requirements:

• Experienced in DevOps or platform engineering with a strong security mindset. 
• Hands-on experience with at least one CI/CD platform (Azure DevOps preferred). 
• Good understanding of application security principles (OWASP Top 10, SANS/CWE Top 25). 
• Experience integrating or running security scanners: SAST, SCA, DAST, container scanning, IaC scanning. 
• Experience with infrastructure as code (Terraform, ARM/Bicep, Helm). 
• Familiar with cloud security (preferably Azure) and container security best practices. 
• Capable of supporting vulnerability management processes and remediation workflows. 
• Ability to collaborate with Software Engineering, DevOps, SRE, Cloud and Security teams. 
• Strong communicator able to translate risk into engineering friendly language. 

Nice to Have:

• Kubernetes (AKS), service mesh, container runtime security. 
• Experience integrating security telemetry into SIEM/SOAR pipelines. 
• Exposure to Zero Trust design principles. 
• Threat modelling and automated security testing frameworks. 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is on the lookout for a skilled Analytics Engineer with strong software development skills who is passionate about games and big data.

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games.
• We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.
• The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team.

RESPONSIBILITIES

• Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights. Collaborate with the Data Engineering team to design data models and data pipelines. 
• Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability.
• Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.  
• Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow. Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes.
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc.
• Define and implement monitoring and alerting policies for data solutions. 

REQUIREMENTS

• 3+ years of experience in analytics engineering or data engineering Python. 
• Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
• Experience working in Databricks & Azure environment (or other cloud equivalents).  
• Experience working with pipeline scheduling tools such as Airflow & Astronomer.
• Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background. 
• 3+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
• Ability to push the frontier of technology and freely pursue better alternatives.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Streaming or NRT modeling experience.
• Experience with PySpark.
• Passion for technical mentorship. 

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

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