96 Mid Level jobs in Singapore

(Accelerated Hiring) Data Scientist (Mid/Senior)
Join to apply for the
(Accelerated Hiring) Data Scientist (Mid/Senior)
role at
Razer Inc.
Razer is on a global mission to revolutionize gaming. It offers a dynamic, gamer-centric work environment with opportunities for personal and professional growth across five continents.
Job Responsibilities
This role focuses on designing and developing advanced AI-driven solutions for game developers and gamers, emphasizing Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG). The candidate will collaborate with AI engineers, game developers, and software engineers to enhance game mechanics, player engagement, and content creation.
Essential Duties and Responsibilities
Research, design, and implement rewards-based agents using RL for gaming applications.
Develop and optimize RAG-based solutions for dynamic content creation and adaptive interactions.
Collaborate with development teams to integrate AI models into workflows.
Create AI-powered gaming tools for immersive experiences.
Develop and tune models to improve AI in gaming.
Analyze game data to train and improve AI decision-making.
Stay updated on AI advancements in gaming.
Evaluate model performance and scalability through experimentation.
Assist in deploying and maintaining AI models in production.
Document research and methodologies for internal and external sharing.
Qualifications
Prerequisites include a strong background in RL, Generative AI, and RAG, proficiency in Python with PyTorch or TensorFlow, familiarity with game engines like Unity or Unreal, knowledge of LLMs, transformers, diffusion models, cloud deployment experience, problem-solving skills, and a passion for gaming.
Education & Experience
Master’s or PhD in a relevant field, with 1+ years of AI research or applied machine learning experience, preferably in gaming or interactive media.
Travel Requirements
Based in Singapore, with occasional travel (up to 1 trip per year) for conferences or collaborations.
Additional Information
Role: Mid-Senior level, Full-time, in Engineering and IT, within the Computers and Electronics Manufacturing industry.
Referrals can double your chances of interview opportunities. Notifications available for new jobs in Singapore.
#J-18808-Ljbffr

Maintain open source-based application monitoring infrastructure.
Enhance, optimize, and migrate to new solutions if required.
Support application teams to migrate to latest OpenShift versions, perform deployment of stateful/stateless apps, and troubleshoot issues in Kubernetes/OpenShift platforms.
Work with application developers to implement application instrumentation libraries and frameworks.
Maintain metrics data store using TSDBs like Prometheus.
Perform administration and tuning like cardinality optimization, resource optimization.
Maintain distributing tracing infrastructure like Otel, Jaeger, Zipkin, etc. Perform administrative functions and tuning like sampling strategy.
Troubleshoot distributed tracing in microservices.
Perform production support activities of enterprise logging platforms like ELK stack, Grafana Loki, etc. Work on Index Lifecycle management in Elastic search.
Implementing alerting infrastructure, integrate with PagerDuty, MS teams and any other software which needs alert-based mitigation/action. Assist application support team to define alerting rules for enterprise business apps.
Deploy and do administration of visualization tools like Grafana/Elastic. Create dashboarding templates which can be reused, Implement RBAC for the entire userbase.
Educate and implement observability culture in dev community. Assist them identifying golden signals, defining SLI, SLO for enterprise applications, calculate error budgets, MTTD, and MTTR.
Troubleshoot the infra issues in the observability infrastructure in Linux VMs and Kubernetes PODs, Setup and secure reverse proxies, secure all application endpoints with TLS, enable MFA, LDAPS, OAuth based on requirement.
Configure CI/CD pipeline for all the monitoring infrastructure and services.
Modify and extend existing pipeline to cater multiple environments/regions.
The person should have hands-on on below key technologies
Elasticsearch/Kibana Cluster Management, Search Optimization
Prometheus/Grafana
Open Telemetry
Linux OS troubleshooting
Kubernetes deployments,
CI/CD pipelines
Good understanding of SRE practices
Working Hours
Mon to Fri 9 to 6PM
Sometimes need to support deployment on weekends, and will be given comp off
#J-18808-Ljbffr

Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit
As a Mid Market AE in APAC, you’ll fill a key role in acquiring new customers and creating raving fans. Being a champion of the entire sales process from start to finish, you will use your creative prospecting skills to strategically pursue net new business. Working through complex deals, your insatiable curiosity makes you a thought leader, and your drive to succeed keeps you at the top of the leaderboard. Out-of-the-box thinkers and those who will never settle for the status quo are strongly encouraged to apply!
As a part of Gong’s sales team, you will become a master of discovery & a strategic business partner for prospective customers. You will play a huge role in our company's growth while navigating your own individual growth journey as well. Are you looking for the opportunity to make big waves & to perfect your craft of sales? We can’t wait to meet you!
NOTE: This position is a hybrid-based role (office 3 days a week and remote)
RESPONSIBILITIES
Drive new business growth within a greenfield territory, managing prospects from lead generation to closing, while positioning yourself as a trusted, consultative advisor; build deep relationships with customers to understand their business goals and objectives
Develop tailored account plans for your assigned accounts that align with Gong's overall strategy, identifying key decision-makers, regional nuances, buying processes, current investments, and new revenue opportunities
Effectively communicate Gong's value proposition to potential customers, generating excitement and enthusiasm about our solutions
Continuously refine and optimise messaging to scale our outbound prospecting efforts driving the majority of new opportunities through self-sourced activities
Engage and educate senior executives on the importance of the emerging Revenue Intelligence industry and validate Gong as the leader in this new market
Partner with the SDR, Sales and Sales Engineering teams to develop account-based sales strategies to uncover value for all go-to-market department leaders
QUALIFICATIONS
4+ years of relevant sales experience preferably selling a complex SaaS solution to Mid Market clients requiring a multi-threaded approach; at least
Track record of overachieving revenue targets and successfully navigating and closing big deals in complex sales cycles
Experience selling to senior leaders such as the C-Suite, CROs, and other key go-to-market stakeholders within enterprise organizations
Hunter mentality with a passion for and demonstrated success of securing new logos across new categories
Proven experience utilising MEDDPICC or a similarly effective value-based selling methodology to address complex customer needs
Previous SaaS and enterprise software experience
Exceptional written and verbal communication skills, with the ability to simplify complex concepts and present them in an approachable and engaging way
Experience with Gong.io preferred but not required
YOU ARE
A self-starter who thrives in a fast-paced, high-growth startup environment
Passionate about providing exceptional customer experiences
Creative, resourceful, detail-oriented, and well-organized
Experienced in selling transformation/visionary solutions, especially where there isn't an obvious budget (demand creation vs. fulfilment)
Comfortable leading technical presentation/demo and owning full customer lifecycle from prospect to close
A team player with high integrity and grit
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
#J-18808-Ljbffr

Overview
Join to apply for the
Mid Market Account Executive
role at
Gong .
Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit
As a Mid Market AE in APAC, you’ll fill a key role in acquiring new customers and creating raving fans. You will be a champion of the entire sales process from start to finish, using creative prospecting to strategically pursue net new business. You will work through complex deals, stay curious, and strive to lead and succeed. Out-of-the-box thinkers who won’t settle for the status quo are encouraged to apply.
As a part of Gong’s sales team, you will become a master of discovery and a strategic business partner for prospective customers. You will play a big role in our growth while navigating your own development journey. This is a chance to make big waves and perfect your sales craft. We look forward to meeting you.
NOTE: This position is a hybrid-based role (office 3 days a week and remote).
Responsibilities
Drive new business growth within a greenfield territory, managing prospects from lead generation to closing, while positioning yourself as a trusted, consultative advisor; build deep relationships with customers to understand their business goals and objectives
Develop tailored account plans for your assigned accounts that align with Gong's overall strategy, identifying key decision-makers, regional nuances, buying processes, current investments, and new revenue opportunities
Effectively communicate Gong's value proposition to potential customers, generating excitement and enthusiasm about our solutions
Continuously refine and optimise messaging to scale outbound prospecting efforts driving the majority of new opportunities through self-sourced activities
Engage and educate senior executives on the importance of the Revenue Intelligence industry and validate Gong as the leader in this market
Partner with the SDR, Sales and Sales Engineering teams to develop account-based sales strategies to uncover value for all go-to-market department leaders
Qualifications
4+ years of relevant sales experience, preferably selling a complex SaaS solution to Mid Market clients requiring a multi-threaded approach
Track record of overachieving revenue targets and successfully navigating and closing big deals in complex sales cycles
Experience selling to senior leaders such as the C-Suite, CROs, and other key go-to-market stakeholders within enterprise organizations
Hunter mentality with a passion for and demonstrated success of securing new logos across new categories
Proven experience utilising MEDDPICC or a similarly effective value-based selling methodology to address complex customer needs
Previous SaaS and enterprise software experience
Exceptional written and verbal communication skills, with the ability to simplify complex concepts and present them clearly
Experience with Gong.io preferred but not required
You are
A self-starter who thrives in a fast-paced, high-growth startup environment
Passionate about providing exceptional customer experiences
Creative, resourceful, detail-oriented, and well-organized
Experienced in selling transformation/visionary solutions, especially where there isn’t an obvious budget
Comfortable leading technical presentations/demos and owning the full customer lifecycle from prospect to close
A team player with high integrity and grit
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong's privacy policy, visit for more details.
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Sales and Business Development
Industries: Software Development
#J-18808-Ljbffr

Role Responsibilities
Performing security testing, including penetration tests, to uncover weaknesses, create threat models, and assess risks.
To also implement security tools and automate testing within CI/CD pipelines.
In addition to responding to security incidents, educate developers on secure coding practices and ensure compliance with security standards and regulations.
Collaborate with IT and other departments to ensure security best practices are followed.
Stay updated on the latest cybersecurity trends, threats, and technologies.
Perform continuous monitoring of security systems and assist in incident response activities.
Analyze current cybersecurity systems and recommend improvements and modifications to enhance security measures.
Prepare and maintain comprehensive project documentation, including reports on findings, procedures, and recommendations.
Provide mentorship and guidance to other junior cybersecurity engineers in the team
Qualifications:
Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field.
at least 3 years of experience with incident detection, incident response, and forensics, preferably in a corporate environment.
Strong understanding of cybersecurity frameworks
Experience with security tools such as firewalls, intrusion detection systems, and anti-virus software.
Certifications such as CompTIA Security+CEH, or CLSSP are highly desirable
Excellent analytical and problem-solving skills.
Strong written and verbal communication skills.
Ability to work collaboratively in a team environment.
Eligibility Criteria for IMDA-CLT Program
Trainees eligible for the CLT must minimally be:
Singaporean or Singapore Permanent Resident (SPR).
Able to commit to completing the full training program.
Able to meet the hiring requirements of the companies.
Conditions of Applications for IMDA-CLT Program
While an applicant may meet the eligibility criteria, all applicants are subjected to the company’s review for suitability with its hiring requirements, and may not be automatically shortlisted for interview.
Only shortlisted applicants will be notified by the company directly.
Companies may hire eligible applicants on a first-come-first-serve basis before any closing date.
Companies may close their applications when all the jobs offered by the participating companies have been filled.
Companies’ hiring decision is final and are not obliged to offer explanation or appeals on their hiring decision.
Government funded programme, we need the last 4 digits to check your eligibilty.
We provide:
on the job training
Opportunities for professional development and career growth
A collaborative and supportive work environment
What are you waiting for? Apply now!
We regret to inform that only shortlisted candidates will be notified. Thank you for indicating your interest in joining our team.
#J-18808-Ljbffr

Summary:
The candidate is expected to manage and execute the migration of data from legacy systems to new platforms, ensuring accuracy, integrity, and minimal disruptions to business operations.
He/she should have hands-on experience in ETL processes, database management, and data quality validation, along with strong problem-solving skills to troubleshoot complex data issues.
Responsibilities:
Planning and analysis
Assess existing data sources, data structures, and dependencies
Understand business requirements and migration scope
Collaborate with business and IT teams to plan migration timelines and strategies (e.g., cutover plan, rollback plan)
Data extraction, transformation, and loading
Design, develop, and execute data migration scripts
Map, transform, and cleanse data to meet the target system’s requirements
Perform incremental and full data migrations with minimal downtime
Ensure data integrity, consistency and accuracy
Testing and validation
Conduct trial migrations and validate data accuracy and completeness
Investigate and fix any data issues
Implement error handling, rollback plans, and data reconciliation processes
Performance and optimization
Optimize migration processes for performance and large data volumes
Monitor data transfer performance and resolve bottlenecks
Ensure the migration process adheres to data security and compliance policies.
Requirements:
Possess a degree in Computer Science/Information Technology or related fields.
Minimum 3 years of experience in developing and supporting large-scale systems and applications, with strong object-oriented and core programming skills (e.g., Java, Python, JavaScript, .NET, C#, etc.)
Possess a good understanding of object-oriented concepts, design patterns, concurrency, and software techniques.
Proficient in Web services, API technologies, and concepts (e.g., JavaScript, .NET Core, XML, HTML, etc.).
Experience in application integration, monitoring, and control with exposure to automated tests.
Proven experience in data migration or ETL engineering.
Strong knowledge of SQL and relational databases (Oracle, MySQL, SQL Server, PostgreSQL).
Experience with data validation, reconciliation, and quality assurance.
Proficient in consuming data from a variety of sources and connecting frontend applications to backend services.
Good at analyzing requirements, creating technical specifications, and using test cases and scenarios.
Experience with software development tools (e.g., Git, Jenkins, JIRA)
Good understanding of the full System Development Life Cycle.
Ensure compliance with IT security standards, policies, and procedures.
Strong problem-solving, analytical, written, and communication skills.
Ability to work collaboratively in cross-functional teams under tight deadlines
#J-18808-Ljbffr

Join to apply for the
Data Engineer (Mid/Senior)
role at
Razer Inc.
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is
a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also
a great place to work,
providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.
Responsibilities
Lead AI Data Engineering initiatives by driving the design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.
Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.
Develop high performance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications
Implement best practices for data quality, lineage, security, and compliance for AI applications
Develop automated data workflows, integrate with DevOps, MLOps frameworks, and enable model reproducibility through efficient data management.
Continuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solution that best fit the various AI initiatives
Work closely with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines.
Qualifications
Hands on experience working with Vector/Graph;Neo4j
3+ years of experience in data engineering, working on AI/ML-driven data architectures
Ability to work in fast paced, high pressure, agile environment.
Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.
Strong in programming languages such as Python, SQL.
Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Docker, container orchestration platforms like Kubernetes
Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT)
Excellent with various data processing techniques (both streaming and batch), managing and optimizing data storage (Data Lake, Lake House and Database, SQL, and NoSQL) is essential.
Experience in network infrastructure, real-time AI inferencing pipelines using event-driven architectures
Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
Excellent written and verbal communication skills for coordinating across teams.
Experience and Interest to keep up with the advancement in the Data Engineering Field
Education & Experience
Has a Bachelor’s or Master’s degree in computer science, Data Engineering, AI/ML, or a related field from an accredited institution
Travel Requirements
Role based in Singapore office and may require up to 1 travel trip per year.
Shortlisted candidates will be contacted for assessment in due course
Are you game?
#J-18808-Ljbffr

Overview
Join to apply for the
Mid-Market Account Executive
role at
Datadog .
As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.
Datadog values people from all walks of life and we understand not everyone will meet all the above qualifications on day one. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
What You’ll Do
Focus entirely on net-new logo acquisition
Convert inbound leads to closed opportunities
Leverage tools such as Sales Navigator and DiscoverOrg
Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
Multi-thread into different departments of a complex organization
Collaborate with Sales Development Representatives to drive top of funnel activity
Manage the full sales cycle, including negotiations and on-site technical demonstrations
Who You Are
Experienced in hunting and closing net new logos
Able to strategically map out and break into large scale organizations
Curious, motivated, and driven as a sales person
Bold on the phones and creative in your emails
Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time
Benefits and Growth
High income earning opportunities based on self performance
Opportunity for Presidents Club
New hire stock equity (RSU) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Sales training in MEDDIC and Command of the Message
Intra-departmental mentor and buddy program for in-house networking
An inclusive company culture, opportunity to join our Community Guilds
Generous global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. We champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Seniority level
Entry level
Employment type
Full-time
Job function
Sales and Business Development
Industries
Software Development
#J-18808-Ljbffr

The Operations Manager will be responsible for managing the daily operations of the salon, ensuring high standards of service, customer care, and business efficiency. Additionally, this role will involve collaboration with the marketing team to help drive customer engagement and promote the salon’s services. The ideal candidate is a proactive individual with experience in managing beauty services operations and an understanding of marketing strategies.

Daily Operations Management:
• Oversee and manage all daily operational activities, including staffing, inventory, scheduling, and appointment management.
• Ensure cleanliness, organization, and compliance with health and safety standards.
• Manage supplier relationships and stock levels for beauty products, equipment, and supplies.
Customer Service Excellence:
• Ensure all clients receive exceptional service, responding to complaints or service issues quickly and professionally.
• Oversee the booking system and client records to maximize efficiency and maintain client loyalty.
• Monitor customer feedback and implement strategies to improve satisfaction and retention.
Business Development & Sales:
• Collaborate withstaff to drive customer engagement, loyalty programs, and promotional campaigns
• Monitor financial performance, including budgeting, cost control, and revenue growth.
• Analyze sales and service performance metrics to identify areas for improvement.
Marketing & Sales Collaboration:
• Collaborate with staffs to create and execute campaigns that promote Queen Ocean Beauty’s services.
• Assist in designing promotional offers, packages, and loyalty programs to drive footfall and sales.
• Manage the salon’s social media presence, ensuring content reflects the brand and engages with the target audience.

Key Skills & Competencies

Leadership & Team Management:
• Ability to lead, motivate, and manage a diverse team of beauty professionals.
• Strong coaching and mentoring skills to foster staff development.
Problem-Solving & Decision-Making:
• Ability to handle operational issues, such as staffing challenges, inventory shortages, or customer complaints, with quick and effective solutions.
Customer Service Excellence:
• Strong customer service skills to ensure that clients receive a premium experience and any issues are handled professionally.
Marketing Strategy:
• Understanding of marketing principles to help promote the salon’s services and drive business growth through campaigns and promotions.
Sales & Promotion Management:
• Ability to assist in designing and executing promotions, packages, and loyalty programs that enhance sales and customer retention.
Sales & Promotion Management:
• Ability to assist in designing and executing promotions, packages, and loyalty programs that enhance sales and customer retention.

Duration: 6 months