Full-Time
Senior Software Engineer
Payroll Data
Updated on 9/6/2026
Rippling
5,001-10,000 employees
Unified HR and IT management platform
No salary listed
Bengaluru, Karnataka, India
Hybrid
At least three days per week on-site is required for employees within the defined office radius.
 Software Engineering (1) |
|---|
Get referred to Rippling
See people who can refer or advise you
- At least 5 years of professional software engineering experience focused on data modeling, data pipelines, or data platform work.
- Deep experience designing data models for complex real-world domains, including normalization, temporal state, schema evolution, flexibility, and query performance trade-offs.
- Strong backend engineering fundamentals with experience in Python, Django, or similar stacks.
- Experience building and operating materialization or extract, transform, and load pipelines at scale.
- Ability to design clean data contracts and interfaces consumed by multiple teams, including backwards compatibility, versioning, and documentation.
- Strong debugging and problem-solving skills for tracing data correctness issues through multiple system layers.
- Ability to work in ambiguous, cross-functional environments and understand technical constraints alongside business-domain nuance.
- Strong written and verbal communication skills for articulating modeling trade-offs, aligning partner teams on schema changes, and documenting data semantics.
- Own the design and evolution of payroll data models spanning earnings, deductions, taxes, contributions, and employer costs across more than 40 countries.
- Architect and scale materialization pipelines that transform raw payroll events and configurations into consistent, query-ready datasets for reporting, analytics, filings, and compliance.
- Define and maintain data contracts between the payroll data layer and its consumers, including run management, tax engine, filings, object graph, RQL, and finance reporting.
- Address temporal state management, multi-country regulatory variation, and bitemporal data patterns.
- Drive performance optimization across materialization and query paths while meeting downstream latency, freshness, and correctness requirements.
- Improve observability and operational tooling for data pipelines, including monitoring for drift, staleness, schema violations, and materialization failures.
- Lead cross-team technical discussions on data model changes, schema evolution, and materialization strategies.
- Mentor engineers and raise standards for data modeling rigor, pipeline reliability, testing, and documentation.
- Shape long-term data architecture with stakeholders across payroll, platform, and analytics to anticipate country launches, product features, and reporting requirements.
- Experience with payroll, fintech, human resources technology, or regulated financial systems.
- Familiarity with bitemporal data patterns, event sourcing, or analytical query engines such as Trino and Iceberg.
Rippling provides a unified SaaS platform that combines HR and IT management. It automates payroll, benefits administration, employee data management, and app/device provisioning, all within one system. The platform integrates these functions so businesses can handle HR and IT tasks from a single interface, with automation and connections to other business apps. Its approach centers on offering a subscription-based service that includes core HR tools plus optional services like device management and broker partnerships. Rippling aims to reduce administrative overhead and improve operational efficiency by keeping HR data, payroll, benefits, and IT management in one place.
Company Size
5,001-10,000
Company Stage
Series G
Total Funding
$1.8B
Headquarters
San Francisco, California
Founded
2016
Get referred to Rippling
See people who can refer or advise you
Simplify's Take
What believers are saying
- Singapore expansion in August 2026 signals stronger APAC demand and hiring momentum.
- AI Spend Console launched August 7, 2026, converting AI cost control into product revenue.
- Treasury partnership with Apex on August 19, 2026 deepens wallet share across 30,000 customers.
What critics are saying
- Runlayer lawsuits in July and August 2026 exposed IP theft and patent war risk.
- Rapidly cloning partner-tested products invites retaliation, discovery, and reputational damage in enterprise sales.
- Finance expansion into treasury increases compliance burden across broker-dealer, custody, and payments oversight.
What makes Rippling unique
- Rippling unifies HR, IT, payroll, and finance on one employee graph.
- AI Governance ties access, spend, and agent identity to workforce context.
- Apex treasury adds embedded cash management for 30,000-plus business customers.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 0%2 year growth
↑ 1%Rippling to nearly triple Singapore office headcount. Fri, 28th Aug 2026 (Today) Rippling is expanding its Singapore operations and moving to a new office at OCBC Centre East. The workforce-management company plans to nearly triple its local office-based headcount. The move comes as the US$16.8 billion company responds to rising demand from Singapore-based businesses hiring across borders and building teams in multiple markets. Rippling, which combines HR, IT and finance tools in one system, is giving Singapore a larger role in its regional growth plans. The bigger office will bring together local staff and employees who were previously working remotely. The expansion follows a period of strong economic growth in Singapore, where technology investment and advanced manufacturing have supported demand for skilled workers. Official figures cited by Rippling showed the economy grew 5.7% year on year in the second quarter of 2026, while manufacturing rose 12.2% on AI-related demand for semiconductors and chipmaking equipment. That backdrop has tightened the labour market. Rippling pointed to 73,300 job vacancies in March, equal to 146 vacancies for every 100 unemployed people, while unemployment stood at 2% in May. Those conditions have pushed more businesses to look overseas for staff, especially in engineering, data, product and AI roles. Rippling says it is seeing growing demand from Singapore-headquartered groups expanding into the US, Europe and other Asia-Pacific markets. Hiring pressure For employers, international hiring can add layers of administrative and regulatory work, particularly when payroll, employment rules and internal systems differ across countries. Businesses often outgrow separate providers and tools as they scale, creating a more fragmented operating model. Rippling has also introduced an AI governance product for employers seeking greater oversight of staff use of AI tools. The system is designed to govern access to AI software, track usage and spending, and monitor AI agents in real time. Fiona Fergus linked the Singapore expansion to changes in both labour markets and business organisation. "Singapore's AI boom is not only a technology story - it's a talent story. The country is producing global businesses and attracting significant investment, but that growth is intensifying competition for specialist skills that are already in short supply. As businesses invest in AI and expand internationally, they're looking beyond their domestic markets to access the engineering, product and AI talent they need. But hiring globally can quickly create a patchwork of payroll providers, HR systems, employment rules and IT processes that make it harder to operate as one business. SecurityBrief is seeing more Singapore-headquartered companies build international teams from an earlier stage of growth. They want the flexibility to hire the best people wherever they are, while keeping workforce data, systems and operations connected. Its investment in Singapore reflects the strength of this market and its long-term commitment to helping businesses scale globally on a single platform," said Fergus, HR business partner, APAC, Rippling. Customer growth One customer cited by Rippling is Singapore start-up k-ID, which said it had expanded rapidly across several regions. Founded in 2023 with eight employees, the company has since made more than 60 full-time employee and employer-of-record hires across 12 countries in Asia-Pacific, North America and Europe. Jeff Wu described how that expansion shaped k-ID's approach to internal systems. "As SecurityBrief started hiring internationally, SecurityBrief needed infrastructure that could scale with SecurityBrief. SecurityBrief wanted an HR system SecurityBrief could still be running at 100, 200 or even 500 people, without having to rebuild everything. When someone joins k-ID, SecurityBrief want them to have the same employee experience no matter where they are in the world. But every country has different employment, payroll and benefits requirements, and that complexity adds up fast. Consolidating HR, IT and security systems with Rippling has helped SecurityBrief operationalise those processes so SecurityBrief stay compliant and consistent across markets, while reducing administrative overheads. SecurityBrief has tried to build k-ID with the company SecurityBrief want to become in mind, not just the company SecurityBrief is today. Rippling has been part of that, giving SecurityBrief the operational leverage to meet its ambitions in Singapore and beyond," said Wu, co-founder and chief safety and people officer, k-ID. Rippling's latest investment highlights how software groups serving employers are positioning Singapore as a regional base as companies grapple with cross-border hiring, tight labour supply and the internal controls needed as AI use spreads through the workplace.
Rippling to nearly triple Singapore office headcount. Fri, 28th Aug 2026 (Today) Rippling is expanding its Singapore operations and moving to a new office at OCBC Centre East. The workforce-management company plans to nearly triple its local office-based headcount. The move comes as the US$16.8 billion company responds to rising demand from Singapore-based businesses hiring across borders and building teams in multiple markets. Rippling, which combines HR, IT and finance tools in one system, is giving Singapore a larger role in its regional growth plans. The bigger office will bring together local staff and employees who were previously working remotely. The expansion follows a period of strong economic growth in Singapore, where technology investment and advanced manufacturing have supported demand for skilled workers. Official figures cited by Rippling showed the economy grew 5.7% year on year in the second quarter of 2026, while manufacturing rose 12.2% on AI-related demand for semiconductors and chipmaking equipment. That backdrop has tightened the labour market. Rippling pointed to 73,300 job vacancies in March, equal to 146 vacancies for every 100 unemployed people, while unemployment stood at 2% in May. Those conditions have pushed more businesses to look overseas for staff, especially in engineering, data, product and AI roles. Rippling says it is seeing growing demand from Singapore-headquartered groups expanding into the US, Europe and other Asia-Pacific markets. Hiring pressure For employers, international hiring can add layers of administrative and regulatory work, particularly when payroll, employment rules and internal systems differ across countries. Businesses often outgrow separate providers and tools as they scale, creating a more fragmented operating model. Rippling has also introduced an AI governance product for employers seeking greater oversight of staff use of AI tools. The system is designed to govern access to AI software, track usage and spending, and monitor AI agents in real time. Fiona Fergus linked the Singapore expansion to changes in both labour markets and business organisation. "Singapore's AI boom is not only a technology story - it's a talent story. The country is producing global businesses and attracting significant investment, but that growth is intensifying competition for specialist skills that are already in short supply. As businesses invest in AI and expand internationally, they're looking beyond their domestic markets to access the engineering, product and AI talent they need. But hiring globally can quickly create a patchwork of payroll providers, HR systems, employment rules and IT processes that make it harder to operate as one business. SecurityBrief is seeing more Singapore-headquartered companies build international teams from an earlier stage of growth. They want the flexibility to hire the best people wherever they are, while keeping workforce data, systems and operations connected. Its investment in Singapore reflects the strength of this market and its long-term commitment to helping businesses scale globally on a single platform," said Fergus, HR business partner, APAC, Rippling. Customer growth One customer cited by Rippling is Singapore start-up k-ID, which said it had expanded rapidly across several regions. Founded in 2023 with eight employees, the company has since made more than 60 full-time employee and employer-of-record hires across 12 countries in Asia-Pacific, North America and Europe. Jeff Wu described how that expansion shaped k-ID's approach to internal systems. "As SecurityBrief started hiring internationally, SecurityBrief needed infrastructure that could scale with SecurityBrief. SecurityBrief wanted an HR system SecurityBrief could still be running at 100, 200 or even 500 people, without having to rebuild everything. When someone joins k-ID, SecurityBrief want them to have the same employee experience no matter where they are in the world. But every country has different employment, payroll and benefits requirements, and that complexity adds up fast. Consolidating HR, IT and security systems with Rippling has helped SecurityBrief operationalise those processes so SecurityBrief stay compliant and consistent across markets, while reducing administrative overheads. SecurityBrief has tried to build k-ID with the company SecurityBrief want to become in mind, not just the company SecurityBrief is today. Rippling has been part of that, giving SecurityBrief the operational leverage to meet its ambitions in Singapore and beyond," said Wu, co-founder and chief safety and people officer, k-ID. Rippling's latest investment highlights how software groups serving employers are positioning Singapore as a regional base as companies grapple with cross-border hiring, tight labour supply and the internal controls needed as AI use spreads through the workplace.
Rippling expands Singapore office as AI boom pushes companies to hire globally. Singapore's tight labour market is driving startups to recruit across borders, creating demand for unified HR, payroll and IT systems 27 Aug, 2026 Singapore's artificial intelligence boom is beginning to show up in an unexpected place: the back office. Rippling, the US$16.8-billion workforce management platform, is expanding its Singapore operations and moving into a new office at OCBC Centre East, as it nearly triples its local office-based workforce from August. The US-headquartered company said the move reflects rising demand from Singapore businesses that are hiring across borders earlier in their growth journey, particularly as competition for engineering, data, product and AI talent tightens at home. The expansion is not just about office space. It points to a broader shift in how startups and growth-stage companies in Southeast Asia are building teams. The old model - hire locally first, expand region by region, then stitch together payroll and HR systems as needed - is becoming harder to sustain. For many companies, the talent they need may be in India, Vietnam, the US, Europe or elsewhere in Asia Pacific, while their headquarters remain in Singapore. That creates a practical problem. Hiring globally may help companies move faster, but it also adds layers of compliance, payroll, benefits, device management, security access and employee data across multiple jurisdictions. Rippling's bet is that more companies will want those functions managed from one system rather than spread across disconnected tools. Singapore's growth story becomes a talent problem. The timing of Rippling's expansion is closely tied to Singapore's current economic cycle. The country has become one of Asia Pacific's most important technology hubs, supported by AI investment, advanced manufacturing, semiconductor demand and its role as a regional headquarters base for multinational companies. According to figures cited by Rippling, Singapore's economy grew 5.7 per cent year on year in the second quarter of 2026. Manufacturing expanded 12.2 per cent, driven largely by AI-related demand for semiconductors and semiconductor manufacturing equipment. That growth has sharpened an already tight labour market. Singapore had 73,300 job vacancies in March, equivalent to 146 vacancies for every 100 unemployed people, while unemployment stood at just 2 per cent in May. For startups and tech companies, the pressure is particularly acute in specialised roles such as AI engineering, data science, product management and cybersecurity. This matters for Southeast Asia because Singapore often acts as a launchpad for regional companies with global ambitions. Founders may incorporate, raise capital and hire senior leadership in Singapore, but their commercial, technical and support teams can quickly spread across several markets. The more distributed the team becomes, the harder it is to maintain a consistent employee experience and operational control. "Singapore's AI boom is not only a technology story; it's a talent story," said Fiona Fergus, HR Business Partner, APAC at Rippling. "The country is producing global businesses and attracting significant investment, but that growth is intensifying competition for specialist skills that are already in short supply." The operational drag of global hiring. Rippling brings HR, payroll, IT and finance functions into one platform, giving companies a single source of workforce data. In practice, that means a business can onboard employees, manage payroll, assign devices, control software access and monitor workforce spending from the same system. This is where the company sees an opening in Singapore. As more startups expand into the US, Europe and Asia Pacific, they often accumulate a patchwork of local payroll providers, employer-of-record services, HR databases, IT systems and finance workflows. Each tool may solve one problem, but together they can make it harder for management teams to see who works where, what they cost, what systems they can access and whether the company is compliant. Fergus said Singapore-headquartered companies are now building international teams earlier than before. "They want the flexibility to hire the best people wherever they are, while keeping workforce data, systems and operations connected," she said. The company is also positioning itself around AI governance, a newer concern for employers as staff begin using generative AI tools across daily workflows. Rippling's AI Governance solution is designed to help companies control access to AI tools, track usage and spending, and manage AI agents in real time. For Singapore companies operating in regulated or security-conscious sectors, that oversight could become more important as AI moves from experimentation to everyday operations. A Singapore startup case study. One local example is k-ID, a Singapore startup founded in 2023 that provides safety and compliance infrastructure for digital platforms serving children and teenagers. The company began with eight people and has since grown to more than 60 full-time employee and employer-of-record hires across 12 countries in Asia-Pacific, North America and Europe. k-ID has used Rippling since 2024. For co-founder and Chief Safety and People Officer Jeff Wu, the issue was not simply managing headcount today, but avoiding a rebuild later. "As we started hiring internationally, we needed infrastructure that could scale with us," Wu said. "We wanted an HR system we could still be running at 100, 200 or even 500 people, without having to rebuild everything." He added that global hiring quickly exposes companies to different employment, payroll and benefits requirements. "When someone joins k-ID, we want them to have the same employee experience no matter where they are in the world," he said. That consistency is becoming a bigger priority for venture-backed startups in the region. Distributed hiring gives young companies access to deeper talent pools, but it can also create uneven employee experiences if onboarding, benefits, equipment, security and HR support vary widely by country. A crowded global workforce software market. Rippling is not alone in chasing this opportunity. The global workforce management market includes large incumbents such as Workday, ADP, SAP SuccessFactors and Oracle, which serve many enterprise customers. It also overlaps with newer global hiring and payroll companies such as Deel, Remote and Oyster, which have grown quickly by helping companies employ people across borders. For smaller businesses, platforms such as Gusto, HiBob and BambooHR compete around payroll, HR information systems and employee management. Rippling's pitch is that it combines HR, IT and finance in one data layer, but in Southeast Asia it will still need to win trust in a market where companies often mix global software with local payroll and compliance providers. Its Singapore expansion suggests the company sees the region not merely as a sales outpost, but as a base for serving increasingly global Asian companies. Bringing previously remote employees together in a larger office could help Rippling work more closely with customers and partners across Asia-Pacific. For Singapore's startup ecosystem, the move also reflects a deeper reality: the next stage of growth will be less about whether companies can hire abroad, and more about whether they can manage those teams without slowing themselves down. As AI investment accelerates and talent shortages persist, the companies that scale best may not be the ones with the largest offices, but those with the operational systems to make a borderless workforce feel coherent. Editor, e27
Rippling tops G2's first-ever Grid(R) for AI Agents for HR. Customers rank Rippling AI the highest in both Satisfaction and Market Presence scores, awarding it a near-perfect 98/100. Rippling, the people data platform for forward-thinking companies, is named the #1 Leader in the first-ever G2 Grid(R) for AI Agents for HR Software. Rippling received the highest overall score from more than 650 customer reviews, reinforcing its leadership position in the HCM world for delivering real AI products with practical utility for customers. Rippling received the highest overall score from more than 650 customer reviews, reinforcing its leadership position in the HCM world for delivering real AI products with practical utility for customers. The rankings are based on hundreds of reviews from customers and awards products based on Satisfaction and Market Presence scores. Rippling AI is a complete HR, IT and finance copilot that benefits from a native integration to a company's people, technology, and financial data. Within existing policies and permissions, it lets managers and G&A leaders perform advanced analyses, take actions, and set up automations that simplify life for every employee in the business. By eliminating busywork, it saves every Rippling customer money, while making teams more effective. "Rippling is alone among competitors for having shipped AI-powered products that do useful things for our customers, today," said Matt MacInnis, President and Chief Product Officer at Rippling. "They've adopted Rippling AI because it can work safely with their most sensitive data to drive insights and take actions." G2, a leading B2B software marketplace, pulls user ratings and data to evaluate and rank products based on real customer experiences. As AI adoption has accelerated, G2 has added more than 30 AI-specific categories to its reports, including AI Agents for HR, which recognizes tools that can directly automate work. Rippling's recognition comes as the company continues to expand its investment in AI. Rippling recently introduced AI Spend Console, which helps customers track, understand, and control AI spend across their workforce, as well as Rippling Data Cloud, which connects business data with organizational context across HR, IT, and finance. The company also launched Rippling AI Governance, a suite of products that helps companies scale AI usage without losing track of spend, access, or accountability. Additionally, Rippling Finance announced Procurement and Business Banking, enabling same-day payroll for businesses. Together, these products reflect Rippling's broader push to give companies the data, visibility, and governance needed to integrate AI across their workforce and operations. The win extends a dominant showing across G2's Fall 2026 Reports, where Rippling also claimed the #1 Leader in Benefits Administration, Employee Scheduling, HR Compliance, PEO Providers, Procurement Spend Analysis, Training Management Systems and Workforce Planning. Rippling is also ranked the #2 Leader in G2's Grid(R) for AI Agents and Grid(R) for Agentic AI Software. [To share your insights with us, please write to [email protected]]
Rippling releases MCP gateway after dropping lawsuit with Runlayer. 5h ago Startups Tl;dr. Rippling and Runlayer mutually dropped lawsuits over MCP gateway technology; Rippling immediately released its competing product without settlement. Key points. * Runlayer raised $42M from VCs including Khosla Ventures; founded by Andrew Berman (Nanit, Vowel) * Rippling tested Runlayer's MCP gateway for over a year before building competing clone internally * MCP gateway securely routes AI agent requests to enterprise systems with role-based access control and observability * Rippling now competes with Runlayer, Docker, Amazon Bedrock in AI security; also targets Stripe, Ramp, Databricks in AI gateway space Why it matters. This case reveals how rapidly the AI landscape shifts - enterprise technical evaluations can become obsolete before completion, and large platforms can quickly replicate specialized startup solutions. For builders, it underscores the need for stronger IP protection and faster go-to-market strategies in AI infrastructure, where implementation barriers are collapsing.