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This role demands close collaboration with Business, Product and the Data Science team in driving critical experiments, analyzing product and business strategies for impact, in building simple predictive models and laying the foundation for product and business roadmap for the coming half.

What will you do

• Analyse data and derive insights using various statistical techniques and data visualization libraries  to answer business critical questions
• Partner with Product and Business teams to help make decisions based on these insights.
• Identify Product and business opportunities and support to help in creating pilot settings through experimentation  using best practices. 
• Build and maintain dashboards and other self-serve tools for tracking business performance and product adoption. 
• Build first cut machine learning models (good to have)
• Automate data extraction to create denormalized tables.

• 3-6 years experience in business statistics and product analytics.
• Strong business sense and data driven-ness. 
• Expert in SQL & Python with strong experience in data visualization and dashboarding tools.
• Basic expertise in building machine learning models and taking them to deployment.
• Building products as end to end data solutions (from extracting data, to analysis, data pipeline set up and scalable deployment)
• Ability to disambiguate loosely-defined business and product problems and create a roadmap for analysis and experimentation.

This is one of the most exciting teams to be part of; that drives some extremely critical solutions for the success of the organization. If you’re data driven, and love to be among like minded; highly tech-savvy people, and collaborate without boundaries - with folks from product, business, other analysts, data scientists and engineers - then look no further. In this team, you will instrumental in helping all these stakeholders in making data driven decisions, in creating the most impactful business strategies and product features that directly impact  hundreds of thousands of our merchant partners and millions of GoFood customers

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

Preamble: At Gojek, we are revolutionizing the way people experience everyday services through our super app platform. The consumer incentives team is excited to invite talented and passionate Data Scientists to join us in our mission to provide efficient and impactful incentives to our customers. This role offers a unique opportunity to contribute to Gojek's success by leveraging your expertise in Python coding and data science, while collaborating closely with stakeholders from the transport, food, and logistics domains. If you are a proactive problem-solver with excellent communication skills and a passion for driving business goals through data-driven decision making, we would love to have you on our team!

Background: The Consumer Incentives Team plays a crucial role in Gojek's success by designing and implementing a full stack machine learning pipeline. This pipeline enables us to optimize and distribute incentives to our customers in a targeted and efficient manner, driving user engagement and achieving business objectives. As a Data Scientist in this team, you will work closely with stakeholders from the transport, food, and logistics domains, ensuring effective communication of technical concepts to non-technical partners. Your expertise and insights will shape our incentive strategies, enabling Gojek to stay ahead in a competitive market and deliver exceptional experiences to our customers.

What will you do

• Develop and deploy machine learning models to optimize incentive distribution for Gojek's consumer base.
• Collaborate closely with stakeholders from transport, food, and logistics domains to understand business requirements and translate them into actionable data science solutions.
• Analyze large-scale datasets (>100m rows) to extract actionable insights and drive decision-making processes.
• Build data pipelines and perform feature engineering to enhance model performance and accuracy.
• Communicate complex technical concepts and data-driven insights to non-technical stakeholders, enabling them to make informed business decisions.
• Monitor and evaluate model performance, identifying areas for improvement and proposing solutions.
• Stay updated with the latest advancements in data science and machine learning techniques, bringing innovative ideas to the team.

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

** Accepting Remote Candidates in India Only **

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you will do

• Collaborate with cross-functional teams, including product managers, engineers, and data scientists, to understand user requirements, business goals, and technical constraints.
• Conduct user research, including interviews, surveys, and usability tests, to gather insights and validate design decisions.
• Create user personas, user flows, wireframes, prototypes, and high-fidelity UI designs that effectively communicate and demonstrate the intended user experience.
• Develop a deep understanding of our user's needs, pain points, and workflows, and leverage this knowledge to design solutions that address their challenges and enhance their productivity.
• Design and iterate on UI components, visual elements, and interaction patterns to ensure a cohesive and delightful user experience across the platform.
• Collaborate with front-end developers to ensure the feasibility of design implementations and provide guidance during the development process.
• Conduct design reviews and provide constructive feedback to peers and junior designers, fostering a culture of continuous improvement.
• Stay up-to-date with industry trends, best practices, and emerging technologies in UI/UX design, and advocate for incorporating innovative design approaches into our platform.
• Champion the importance of usability, accessibility, and inclusivity in all design decisions, ensuring that our platform is accessible to a diverse range of users.

• Proven experience as a UI/UX designer (at least 2 years), with a strong portfolio showcasing your design process and the ability to create intuitive and visually appealing designs.
• Experience in building and maintaining design systems
• Proficiency in design and prototyping tools such as Figma, Sketch, Adobe XD, or similar.
• Experience in user research methodologies, including interviews, surveys, and usability testing, and the ability to translate insights into actionable design solutions.
• Solid understanding of user-centered design principles, interaction design, and information architecture.
• Strong knowledge of responsive design principles and familiarity with front-end technologies (HTML, CSS, JavaScript) to collaborate effectively with developers.
• Excellent communication skills, with the ability to articulate design decisions, receive feedback

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.

OUR VALUES

EVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn’t be a luxury. We’re proud of our mission to bring the world’s highest quality goods to people at affordable prices.

QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.

WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.

WE’RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.

ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.

FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.

OUR TEAM AND SUCCESS

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. 

THE IDEAL CANDIDATE

The ideal candidate is a self-starter, problem-solver and successful in combining technology and data into best-in-class outcomes.  The candidate is energized by solving complex business problems and consistently effective in making high-judgement decisions at rapid pace amidst the frequent ambiguity that comes with charting a course of action with no precedent.  Moreover, the ideal candidate is energized by an environment where strategy, innovation and decision-making are intentionally distributed, where candor, speed and data are highly valued and colleagues at all levels hold each other to unusually high standards on behalf of Quince customers.

What you'll do:

• Ideate, design & build machine learning-based solutions to solve business use cases in Marketing, Logistics, Customer Service, etc.
• Gather requirements from business teams, structure them into meaningful Data Science / Analytics projects and take end to end ownership of the project delivery
• Work closely with various business stakeholders and other Engineering teams to deliver production-grade deployable solutions
• Work across the spectrum of statistical modeling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem.
• Work as a Data Science subject matter expert and manage a team of Data Scientists. Perform code reviews for Data Science projects to ensure a high deliverable quality
• Have good communication and presentation skills to present the data insights to the Business/Leadership teams

• Bachelor's or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field with 8-10 years of relevant work experience; demonstrable history of driving impactful data/ML projects
• Hands-on experience in developing and deploying machine learning solutions to production is mandatory
• Expert in different Machine Learning and Deep Learning modeling techniques (All types of Regressions, Tree based methods, Dimensionality Reduction, Clustering, Neural Networks, Recommendation Systems, Market Mix Modeling etc.)
• Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. and strong hands-on coding skills with working proficiency in Python, SQL and Linux/UNIX environments
• Prior experience in solving Data Science use cases like building Recommendation solutions, Propensity Models, Working on B2C customer data use cases, Segmentation and Personalization is highly desirable
• Prior experience of working on any MLOps framework/platform
• Hands-on experience with analytical tools like SQL, Excel/Google sheets (pivot tables), visualization tools like Tableau/Power BI/Looker
• You should also have a business mindset, swift to identify risk situations and opportunities and be able to generate creative solutions to business problems.
• Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners.

Quince seeks to build high-performing teams of people from various experiences and backgrounds who can collectively push our company into new realms. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

ConverseNow is the leading conversational AI platform for restaurants, automating the process of taking orders across voice channels such as phone, drive-thru and mobile live chat. With cutting-edge technology and a passion for service, we sit at the intersection of Tech, B2B SaaS and Hospitality. 

We’ve emerged as an AI and foodservice industry leader, and are enjoying massive growth. Backed by blue chip investors such as CRAFT Ventures (Tesla, Uber, Airbnb, Postmates, Slack), we’ve raised $18M in funding and are gearing up for a series B in the near future. We’re based in Austin, TX, with a remote team distributed across the globe.

We are looking for a talented and ambitious engineer who wants to be part of a fast-moving and entrepreneurial team working on leading edge natural language understanding software systems. 

This role is a full stack machine learning engineer in the modern sense of the term. You will be required to spend time in all aspects of analysis, data, operations, and development to bring systems to production.  The role requires a multiplicity of skills including software development skill (python and some golang) for integration, driving and reviewing data and training - including making and reviewing annotations, driving operations of such annotation, conduct model training, analyze model metrics and measurements, bringing models to production, analyzing, maintaining such models.

Responsibilities:

• Developing and Training ML Models - primarily prompt based and fine-tuned models.  Training models and measuring performance.
• Software Development -  design, development, integration, delivery of high quality software Support live systems with maintenance, triage, and support as necessary.
• Driving Annotation - design, maintaining annotation guidelines, annotating and reviewing annotations, driving annotators, operating the “annotation loop”

• 5+ years of experience in a product company working on ML systems.
• High proficiency in Python.  Golang or similar compiled language software is a plus.
• Good design and problem-solving skills.
• Experience in NLP and experience using OpenAI is a plus
• Experience working with docker
• Strong architecture, development experience (hands-on) - APIs
• Experience with high-performance, low-latency, high availability production systems
• Experience working with websocket servers is a plus.
• Experience working on cloud environments (especially GCP) is also desirable.
• Experience managing data and data pipelines is a plus.
• Excellent analysis capabilities to take ambiguous problems from concept to completion

• Loves Technology - a true Geek at Heart - that enjoys the latest and greatest tech
• Stays current with new technology and trends
• Driven, ambitious and hard-working (this is not a 9-5 role)
• Has a high-bar of excellence
• Exceptionally reliable and predictable
• Organized and takes ownership of project deliveries
• Flexibility to work in a fast moving and ever changing environment
• Clear verbal & written communication skills; proactive communicator

• Full benefits package, including 100% healthcare coverage
• An incredible team with tremendous passion for the company’s mission, sharing a “Let’s do this” attitude while maintaining a strong work/life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

** Accepting Remote Candidates in India Only **

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you will do

• Understand manufacturing data from clients, and devise strategies to solve pain points and add business value.
• Work on data exploration, analysis, and automation of data cleaning tasks.
• Work with the data science and product team to generate required insights on the client’s data.

• Bachelor's degree in Mechanical/Automotive/Production/Manufacturing engineering.
• Has at least one year of experience in a manufacturing company.
• Can understand, interpret and define the relationship among entities in Manufacturing data, and technical statements.
• Can work on engagements from understanding the business objective through data exploration, identification, and validation.
• Can collaborate with stakeholders including machine learning engineers, data scientists, data engineers, and product managers

• Experience in working on Excel sheets or other interfaces for processing large amounts of data that is available in documents.
• Experience in Python(Pandas)/R

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.

OUR VALUES

EVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn’t be a luxury. We’re proud of our mission to bring the world’s highest quality goods to people at affordable prices.

QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.

WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.

WE’RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.

ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.

FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.

OUR TEAM AND SUCCESS

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. 

THE IDEAL CANDIDATE

The ideal candidate is a self-starter, problem-solver and successful in combining technology and data into best-in-class outcomes.  The candidate is energized by solving complex business problems and consistently effective in making high-judgement decisions at rapid pace amidst the frequent ambiguity that comes with charting a course of action with no precedent.  Moreover, the ideal candidate is energized by an environment where strategy, innovation and decision-making are intentionally distributed, where candor, speed and data are highly valued and colleagues at all levels hold each other to unusually high standards on behalf of Quince customers.

What you'll do:

• Ideate, design & build machine learning and analytical solutions to solve business use cases in Marketing, Logistics, Customer Service etc.
• Gather requirements from business teams and structure them into meaningful Data Science / Analytics projects and take end to end ownership of the project delivery 
• Work closely with various business stakeholders and other Engineering teams to deliver production grade deployable solutions
• Work across the spectrum of statistical modeling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem.
• Work as an Analytics/Data Science subject matter expert, guide/mentor team members and also perform code reviews to ensure a high quality deliverable
• Own the end to end deliverables and use the right analytical or machine learning based solution depending on the requirements
• Have good communication and presentation skills to present the data insights to the Business/Leadership teams

• Bachelor's or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field with 5-7 years of relevant work experience; demonstrable history of driving impactful data/ML projects
• Hands-on experience in developing and deploying machine learning solutions to production is mandatory
• Expert in different Machine Learning and Deep Learning modeling techniques (All types of Regressions, Tree based methods, Dimensionality Reduction, Clustering, Neural Networks, Recommendation Systems, Market Mix Modeling etc.)
• Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. and strong hands-on coding skills with working proficiency in Python, SQL and Linux/UNIX environments
• Hands-on experience with writing production ready code and deployment of multiple machine learning models to production
• Prior experience in solving Data Science use cases like building Recommendation solutions, Propensity Models, Working on B2C customer data use cases, Segmentation and Personalization is highly desirable
• Prior experience of working on any MLOps framework/platform 
• Hands-on experience with analytical tools like SQL, Excel/Google sheets (pivot tables), visualization tools like Tableau/Power BI/Looker Have a strong interest in Data Science, Statistics & Analytics and stay updated with the latest happenings in this space
• Strong analytical and critical thinking skills.
• You should also have a business mindset, swift to identify risk situations and opportunities and be able to generate creative solutions to business problems.
• Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners.

Quince seeks to build high-performing teams of people from various experiences and backgrounds who can collectively push our company into new realms. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

If you’re a data scientist at heart, this role is for you! because you’ll be mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contribution. You’ll get to work with a talented troop of business leads, product managers and fellow data folks, and spend a majority of your time diving deep into some of the most challenging analytical problems in the Gojek Marketplace - the brain that powers all of Gojek’s services - including Matchmaking, and Pricing streams.

What will you do

• Understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML
• Work with Product managers, Machine Learning Engineers, and Business Users to build, deploy, and scale Data Science solutions on Driver Experience and Earning related initiatives at Gojek that impact the driver’s livelihood
• Use your experience in Data Science, Machine Learning, Software Engineering, distributed systems to rapidly prototype and deploy the systems to production
• Work with Business teams to continuously refine, improve the systems to cater to ever-changing Gojek needs
• Analyze large volume data and generate insights that will be actionable
• Design and conduct experiments to measure the impact of ML solutions or product features launched by Gojek Marketplace Team (Pricing and Matchmaking)

• Bachelor's/Master’s Degree in Computer Science, Statistics, Operation research or other quantitative fields, with at least 5 years of relevant experience
• Hands-on experience in Statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools
• Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience to formulate Data Science solutions to business problems
• Ability to write clear and concise technical documentation
• Experience in taking Data Science models to production Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them

• Preferably, has domain experience in Machine Learning Engineering Experience in Operation Research
• Experience in remote development using cloud platforms (GCS, AWS, Azure) and data processing frameworks/ schedulers (Flink, Airflow) 
• Experience in software engineering workflow (version control using Git, CI/CD)
• Prior experience with dbt is a plus

About the team

Our team, Marketplace, leverages its expertise and skills in data and analytics to solve some of Gojek’s core and most crucial issues. Gojek, as a marketplace platform for ride, food delivery and logistic services, has to deal with issues related to matchmaking and pricing on a daily basis. What’s the best driver incentive scheme given budget and supply targets? How can pricing be adjusted to maximize revenue? Why are drivers with certain characteristics more likely to complete long-distance trips than others?

These are some of the complex questions that Gojek has to answer to ensure the reliability of its marketplace. So it goes without saying that our team is equipped with Gojek’s vast amount of data and superb analytics tools and developing cutting edge technology. 

As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. Along with keeping fit (via table tennis or other activities), our team bonds over our shared love of traveling and eating.

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

Cognizant Servian, a part of Cognizant, is a powerhouse of Data, DevOps, Digital, Machine Learning and Cloud. We embrace innovation, change, and the positive impact it has for us and our clients. By combining the world-class consulting and engineering teams, clients are now able to take advantage of the most credentialed and experienced cloud and data group in the ANZ region.

Established in 2008, Servian is a leading cloud and data consultancy with a proven track record in delivering outcomes and advice that boost business capabilities. The highly skilled team of consultants ensure they focus on solving client objectives through the best use of technology to build competitive advantage. The combined wealth of experience gives Cognizant Servian clients access to digital engineering and core modernisation capabilities, deepening cloud-native architecture expertise for a competitive edge.

Our consultants use emerging technologies and best practices to help clients become more data driven across a range of industries. Recent projects include helping a major retailer in their cloud transformation, building green fields cloud and advanced analytics platforms for financial services, and bringing a full stack web app to market for an emerging start-up, to name a few.

Our people are at the heart of our strategy - We were founded to create a great place to work for talented technologists. Our teams are close-knit and work together to deliver stellar customer outcomes.

We invest heavily in professional development both technically, through training and guided certification pathways, and in consulting, through workshops in client engagement and communication. Growth in our organisation happens from growth in our people.

Our deep expertise spreads across a range of modern technologies, including being Advanced Consulting Partners with Amazon, Gold Partners with Azure and Partners of the year with Google, Snowflake and HashiCorp, to name a few.

Our business focuses on Data and DevOps in the following pillars:

• Cloud & technology - Cloud Services (AWS, Azure, GCP), HashiCorp
• Data & analytics - BI/DWH, Big Data Analytics, Data Engineering, Data Science and Advanced Analytics
• Digital - Full stack Development, UI/UX Design, Mobile Development
• Customer engagement - Marketing Campaigns, Campaign Analysis, Customer Insights
• Artificial intelligence - Natural Language Processing, Computer Vision, Machine Learning, Deep Learning
• Cyber security - DevSecOps, Penetration Testing, Multi-Cloud Security, Security Posture Analysis

• Collaborate with a team of experienced engineers to work with tier1customers on core platform engineering on Azure/AWS/GCP.
• Design and develop reusable core components and frameworks using the latest cloud services.
• Optimize platforms for security, reliability, and scalability.
• Drive a DevOps culture, advocate cloud best practices, and mentor junior team members.

• 5+ years of relevant experience in cloud and related domains.
• Excellent communication skills.
• Strong experience in DevOps and Automation in one or more Microsoft Azure, AWS, and GCP (Azure experience preferred).
• Build pipeline (CI) experience, including design and implementation.
• Automation and scripting proficiency.
• Knowledge of containerization technology, such as Kubernetes, Docker, EKS, GKE, AKS, Podman.
• Familiarity with Infrastructure as Code (IaaC) tools like Terraform, Azure ARM Templates, AWS CloudFormation, etc.
• Networking knowledge on Cloud (NAT/NSG/VNet, etc.).Experience in delivering Cloud Adoption Framework and Well Architected Framework principles.
• Ability to learn new technologies and upskill on the job.
• Consulting experience in automation and migration strategy and execution.
• Experience with Infrastructure as a Service (IaaS) and Platform as a Service (PaaS).
• Knowledge of HashiCorp tools (Terraform, Vault, Nomad, Consul) is desirable.

• Access to a wide range of internal training sessions, across both technical and consulting skills.
• Sponsored certifications across all our partner technology vendors. 
• We provide employees with Life Insurance and access to an Employee Assistance Program. 
• Generous Parental leave.
• We are proud to have a sociable workplace that values diversity and celebrates achievement with multiple company-wide, social, and family events throughout the year.

We are looking to fill this requirement for our client at the earliest, folks who can join in minimum time duration are preferred.