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We are searching for a Senior Software Engineer interested in building fast, reliable systems and applied machine learning to join our Engineering team. Help us build advanced, human-like generative voice assistant technologies and transform the customer service landscape.
As part of the Voice team, this role is responsible for building and innovating our media-streaming services and bringing to life human-machine interactions.
- Maintaining and optimising our global media streaming services.
- Contribute to development of product features, particularly relating to streaming, voice UX, CRM integrations, web chat and calling
- Build infrastructure across both AWS and Azure cloud environments, following best practices and well architected principles.
- Supporting growth through scalability and reliability, as well as implementing solutions for observability and improving operational metrics.
If you're passionate about technology, enjoy tackling challenges, and are eager to contribute to our friendly and innovative environment, we'd love to welcome you aboard!
Key Responsibilities:
- You will be taking an active role in software development through writing code, testing, contributing to design ideas and documents, and performing code reviews.
- You will be building, configuring, and maintaining cloud infrastructure, and working with the team to deliver generative voice assistant products.
- You will be deploying, and maintaining state-of-the-art machine-learning models for speech recognition and speech synthesis.
- In collaboration with the other platform and deployment engineers, you will be responsible for troubleshooting network traffic issues, infrastructure resources issues, and integration issues, making fixes, as well as proposing long-term strategic changes to make the platform better
- BS degree in Computer Science or a related technical field.
- Cloud expertise: At least one major cloud vendor (AWS, GCP or Azure), as well as deploying containerised applications (e.g. Docker, ECS, EKS, ContainerApps, AKS, Kubernetes, Lambda)
- 2-3+ year(s) of commercial software development experience.
- Experience with algorithms, data structures, complexity analysis, and software design
- Experience with one or more programming languages. In house we mainly use Python and Golang for our backend.
- Experience with professional software engineering best practices, such as coding standards, code reviews, source control, build processes, and testing
- Proficiency in verbal and written English communication
Preferred Requirement(s):
- Experience with data technologies such as PostgreSQL, Redis, and DynamoDB.
- Experience with speech-to-text or text-to-speech systems, either in academic or industry settings.
- Experience with streaming and VOIP technologies like SIP and WebRTC
- Experience with security best practices for Enterprise software, multi-tenancy, and building solutions adhering to data protection regulations
Our interview process:
- An initial phone call (30 minutes) with the hiring manager
- A take-home coding problem
- Two back-to-back technical interviews (45 mins each), one for coding and problem-solving, one for architecture design
- A 30-minute behavioural interview with our Management Team
💰 Participation in the company’s employee share options plan
🏝 25 days holiday, plus bank holidays
🏡 Flexible working from home policy plus a one-off WFH allowance when you join
🌎 Work from outside of the UK for up to 6 months each year
🧡 Enhanced parental leave
📚 Yearly learning budget
🚲 Bike2Work scheme
📚 Annual learning and development allowance
🏡 One-off WFH allowance when you join
Company-funded fertility and family-forming programmes
Menopause care programme with Maven
🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs
Equal Opportunity Statement:
PolyAI is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.
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