738 Data Infrastructure jobs in Singapore

The Data Infrastructure Specialist is responsible for designing and implementing data pipelines to extract, transform, and load data from various sources. This role requires a strong understanding of SQL technologies and experience with ETL processes.

Key responsibilities include creating and managing optimal data pipeline architecture, monitoring and managing database systems, assembling large datasets, and working with stakeholders to support their data infrastructure needs.

• Bachelor's degree in Computer Science or related field
• 3+ years of experience with RDBMS and NoSQL databases
• Proficiency in Python, SQL, and data visualization tools
• Experience in MedTech/Manufacturing Industry
• Knowledge of best practices in ICT operations and data management

• Opportunity to work on a dynamic team
• Chance to develop expertise in data infrastructure
• Collaborative work environment

Job Overview:

We are seeking a highly skilled Database Administrator to join our team. As a Database Administrator, you will be responsible for the installation, configuration, and maintenance of database systems.

Responsibilities:

• Install and configure database systems to ensure optimal performance.

• Maintain and troubleshoot database issues to minimize downtime.

• Develop and implement data backup and recovery procedures to ensure business continuity.

• Plan and implement database upgrades and patches to maintain security and efficiency.

• Collaborate with application teams to optimize database performance and resolve issues.

Requirements:

• Proven experience in database administration and management.

• Strong knowledge of database systems, including Oracle, MySQL, and SQL Server.

• Excellent problem-solving and analytical skills.

• Ability to work effectively in a team environment.

• Strong communication and interpersonal skills.

Bonus Points:

• AWS certification would be an advantage.

• Experience in public sector is a must.

• Experience in GCC is a must.

We are seeking a skilled Data Centre Engineer to manage the day-to-day operations and maintenance of our data center facilities. The ideal candidate will have a strong background in building technologies, mechanical and electrical services, as well as experience in data center facility and vendor management.

We're seeking a seasoned Data Engineer to develop and maintain large-scale data infrastructure, transforming research into scalable production-ready solutions for synthetic tabular data generation.

This is an individual contributor role suited for someone who excels in fast-paced start-up environments. The ideal candidate has experience scaling data and machine learning systems to handle datasets with billions of records and can design complex data pipelines for enterprise applications.

You'll work closely with software, machine learning, and applied research teams to optimize performance and ensure seamless integration of systems, handling data from various sources.

• Design and build data ingestion pipelines from relational databases and files for large-scale synthetic data pipelines.
• Develop scalable batch processing pipelines.
• Maintain data warehouses and data lakes optimized for synthetic data training and generation workflows.
• Transform Pandas-based research code into production-ready pipelines.
• Implement automated data quality monitoring and validation systems.
• Design comprehensive data lineage tracking and audit capabilities for regulatory compliance and privacy validation.
• Implement robust error handling mechanisms with automatic retries and data recovery.
• Track performance metrics such as data throughput, latency, and processing times.

• Expert proficiency at scaling data pipelines and machine learning systems to handle billions of rows.
• 3+ years of experience in building scalable data solutions with Python and distinct libraries such as Pandas, NumPy, Scikit-learn, PyTorch, Spark, Dask, Airflow, Dagster, Pandera, and Pydantic.
• Experience in automated data quality frameworks including rule-based and AI-based automation.
• Proficiency in building ETL/ELT pipelines and managing data across relational databases, data lakes, and cloud storage.
• Hands-on experience with web scraping tools (Scrapy, Selenium, Puppeteer).

• Experience with data governance frameworks and compliance requirements.
• Experience with containerization and orchestration using Docker, Kubernetes, and cloud-native deployment strategies.

This is a unique opportunity to actively build and scale systems in a fast-moving environment. If you've successfully scaled machine learning and data systems to billions of rows and thrive in dynamic environments, this role is for you.

• Flexible time-off arrangements
• Flexible work arrangements - work from office or remotely on some days
• Equity eligibility: Competitive equity packages with grant size evaluated based on the candidate's experience, skills, and impact.

The Data Center Engineer plays a vital role in ensuring the smooth operation of our data center facilities. This includes performing regular walk-throughs to validate equipment status, reviewing work orders, and escalating issues to the appropriate teams.

• Perform regular walk-throughs to validate equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.

Key Responsibilities

1. Semi-Routine Equipment Management
2. Work Order Review and Response
3. Cross-Connect Work Order Support
4. Asset Installation and Testing
5. Certification Testing

To be successful in this role, you should have:

• A Diploma / Degree in IT/Computer Science or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

We are looking for an experienced C++ Software Developer to join a top hedge fund firm in Singapore! This role is under their Data Infrastructure team and provides an exciting opportunity to design and optimize data infrastructure microservices to support the high-performance data processing and analytics in trading and research.

• Bachelor's/Master's Degree in Computer Science
• Minimum 4 years of experience in Software Engineering
• Extensive hands-on experience with C++
• Knowledge in Python
• Strong experience working on microservices
• Familiarity with Linux environment
• Experience handling large datasets and working with highly available distributed systems
• Knowledge of SQL databases and data serialization formats
• Exposure to cloud platforms like Google Cloud or AWS and containerization technologies such as Docker/Kubernetes is beneficial
• Proficiency in additional programming languages like Rust or Q is an advantage
• Experience working in hedge funds or banks is highly advantageous
• Strong communication skills to effectively liaise with different stakeholders

If you are interested, please apply to the job post or contact me at

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D | Licence Number: 10C5117 | EA Registration Number: R23115372

We are looking for an experienced C++ Software Developer to join a top hedge fund firm in Singapore! This role is under their Data Infrastructure team and provides an exciting opportunity to design and optimize data infrastructure microservices to support the high-performance data processing and analytics in trading and research.

Requirements

• Bachelor's/Master's Degree in Computer Science
• Minimum 4 years of experience in Software Engineering
• Extensive hands-on experience with C++
• Knowledge in Python
• Strong experience working on microservices
• Familiarity with Linux environment
• Experience handling large datasets and working with highly available distributed systems
• Knowledge of SQL databases and data serialization formats
• Exposure to cloud platforms like Google Cloud or AWS and containerization technologies such as Docker/Kubernetes is beneficial
• Proficiency in additional programming languages like Rust or Q is an advantage
• Experience working in hedge funds or banks is highly advantageous
• Strong communication skills to effectively liaise with different stakeholders

If you are interested, please apply to the job post or contact me at

Regrettably, only shortlisted candidates will be notified.

Business Information

Business Registration Number: 200611680D | Licence Number: 10C5117 | EA Registration Number: R23115372

We are seeking a skilled and ambitious Junior Data Center Engineer to join our growing team. This role is perfect for recent graduates with a Diploma in Information Technology, Computer Engineering, Electrical Engineering, or related fields.

The ideal candidate will be passionate about infrastructure, hardware, and hands-on technical work, with excellent attention to detail and a commitment to operational excellence. They will also be able to follow procedures and work effectively as part of a team.

As a Junior Data Center Engineer, you will have the opportunity to learn and grow in a dynamic and fast-paced environment, working on exciting projects and collaborating with talented professionals. We offer training programs to ensure that our employees have the skills and knowledge they need to succeed in their roles.

In return, we expect our employees to be flexible and willing to work in shift rotations, including weekends and nights. If you are a motivated and dedicated individual who is eager to develop your career in data center engineering, then we would love to hear from you.

• Recent graduates with a Diploma in Information Technology, Computer Engineering, Electrical Engineering, or related fields
• Passionate about infrastructure, hardware, and hands-on technical work
• Detail-oriented and committed to operational excellence
• Able to follow procedures and work as part of a team
• No prior data center experience is required - training will be provided

At (Company Name), we value our employees' personal and professional growth, offering opportunities for development and advancement. If you're looking for a challenging and rewarding career, please submit your application.

By applying for this role, you consent to the collection, use, and disclosure of your personal data for recruitment/employment purposes only.

Software Engineer, Data Infrastructure & Acquisition - Asia
Join to apply for the
Software Engineer, Data Infrastructure & Acquisition - Asia
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Speechify
Software Engineer, Data Infrastructure & Acquisition - Asia
Join to apply for the
Software Engineer, Data Infrastructure & Acquisition - Asia
role at
Speechify
Get AI-powered advice on this job and more exclusive features.
Speechify is a text-to-speech app that makes it easy for the world to access information. 20+ million people use our Google Chrome extension, web app, iOS app, and Android app. our mission is to make sure that reading is never a barrier to learning.
Our amazing users are students, professionals, and productivity lovers. Many of them have learning differences like dyslexia and ADHD, while many just want to read faster and listen on the go. With Speechify you can turn any book, document, or website into audio, and listen while you’re in the car, doing laundry, walking your dog, making dinner, working out, skydiving—whatever your daily routine is! Speechify also powers Medium, the Star Tribune, The Direct, and more. Easily add text-to-speech to your website.
Cliff Weitzman, our fearless CEO, founded Speechify in 2017 in a dorm room at Brown University so he could share with others the incredible text-to-speech software he’d been working on. Cliff has dyslexia and he was frustrated with how much time and energy it took for him to read. Advanced TTS technology was a total gamechanger, it allowed him to finish his readings 3x faster than a normal reader and to better comprehend and retain information.
At Speechify our goal is for reading to never be a barrier to learning for anyone. Nothing should hold you back from learning information quickly and effectively.
Speechify has grown to employ over 100 team members spread out across the globe in just a few short years. We're proud of the incredible team with members who were previously leaders and senior engineers at companies like Snapchat, Apple, Spotify, Amazon & Uber. We all love and prioritise ownership, delivering value with speed, learning as much as we can and making our users feel empowered.
The Role
Mission
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.
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.
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.
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.
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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.
Ideal Profile
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's on Offer?
Excellent career development opportunities
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Software Development
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