Cloud Engineer Jobs in Abu Dhabi.
All active Cloud Engineer roles based in Abu Dhabi.
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Software Engineer, Data Infrastructure & Acquisition - Abu Dhabi, United Arab Emirates
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
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.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Abu Dhabi, United Arab Emirates
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Enterprise / Principal Field Engineer
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
The Enterprise Field Engineering team leads the technical relationship as a customer scales beyond initial implementations and deployments into broader expansion and full enterprise-wide adoption. Enterprise Field Engineers help to validate technology fit, architect and demonstrate new use cases and support deployment and operationalization as adoption expands. They are also essential in enabling our partner ecosystem, ensuring solution integrity, and elevating the Cognite experience through feedback loops to Product and Customer Enablement.
The Enterprise Field Engineering team works in close partnership with the Account Management team to grow and expand customers to enterprise scale and beyond.The Impact you bring to Cognite
Client Engagement and Solution Development
- You act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps to secure their willingness and confidence to scale and expand their use of Cognite Data Fusion®.
- Your close collaboration with Account Managers and Sales teams results in identified and prioritized client opportunities that drive mutual business value.
Client Education and Technical Representation
- You educate clients on Cognite Data Fusion® and related offerings, leading to successful adoption, solution integration, and value realization.
- You develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.
- You represent Cognite in client meetings, workshops, and technical briefings to leverage your technical expertise to build client confidence.
Internal Collaboration and Product Alignment
- You act as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.
- You ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite’s broader product strategy.
- You provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.
Sales and Field Engineering Enablement
- You partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.
- You serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.
- You organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.
Technical Leadership and Best Practices
- You develop and promote best practices, frameworks, and reference architectures to strengthen Cognite’s position as a leader in client-focused industrial solutions.
- You mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.
- You share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.
Required qualifications
- Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
- Hands-on in Python, as well as good hands-on expertise with software development best practices.
- Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.
- Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.
- Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance — particularly in cloud and hybrid environments.
Preferred qualifications
- Education or practical experience relevant to our key industry focus areas. (E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.)
- Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.
- Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.
- Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.
- Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Finance Data Architect (UAE)
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What You’ll Do
- Design, implement, and own end-to-end ETL/ELT pipelines (batch and streaming) from ingestion to feature delivery.
- Model financial datasets and define schemas, partitioning, indexing, and SLAs for analytical and real-time use cases.
- Operate and optimize OLTP/OLAP, search, and vector stores; tune performance, cost, and reliability.
- Build data quality checks, lineage, and observability; automate testing and deployment of pipelines.
- Collaborate with Quant/AI teams to productionize new data sources and features.
- Advanced SQL; strong experience with MySQL and PostgreSQL.
- Proficient with non-relational and vector databases: MongoDB, Elasticsearch, Chroma (or similar).
- Production experience with data layers on AWS / Azure / GCP (e.g., S3/GCS/ADLS, Redshift/BigQuery/Synapse, Glue/Dataproc/Data Factory).
- Have built ETL/ELT pipelines end-to-end (orchestrated, monitored, and supported in production).
- Familiar with financial data schemas and data modeling (tick/trade/quote, fundamentals, alternative data, vendor formats).
At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:
- Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
- Comprehensive health benefits – Full health insurance coverage for employees and dependents.
- Daily meals provided – Enjoy free lunch at the office.
Ready to apply?
Apply to Vatic Labs