SQL Jobs in Bengaluru.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 4 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
#LI-AG18
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 4 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
#LI-AG18
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
At Roku, the Customer Care Engineering team is at the forefront of creating innovative solutions that redefine how we support millions of Roku users worldwide. We build and maintain a diverse ecosystem of cutting-edge tools and applications, including the Roku Support help center, advisor-facing tools for call centers, third-party partner integrations, internal web portals, and a robust suite of web services. From customer account management to big data pipelines, automated deployments, and build tools, our work touches nearly every aspect of the Roku experience.Our mission? To empower Roku customers and support teams with seamless automation, intuitive self-service tools, and powerful troubleshooting capabilities. We’re passionate about crafting secure, high-performance applications that not only solve problems but also deliver a delightful, branded user experience. If you’re excited about building scalable, impactful solutions that make a real difference, this is the team for you.
About the role
Roku is seeking an experienced, versatile, and skilled Full Stack Engineer to join our dynamic Customer Care team. You will play a pivotal role in building and evolving a platform, leveraging web technologies and cutting-edge generative AI, to support world class customer care experiences including intelligent chatbots, agent dashboards, telephony integration, and self-service workflow automation. Your expertise will help shape intelligent, scalable solutions that enhance customer support experiences and multiple support call centers globally.
What you'll be doing
- Design, develop, test, deploy, document, and maintain full stack web applications for a multi-region CRM platform
- Determine the strategic and tactical direction of the front-end architecture with cross-browser compatibility, accessibility and search engine optimization
- Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions
- Advocate for operational excellence, driving best practices in monitoring, performance, and reliability.
- Participate in the agile development process, including scoping, technical design, effort estimation, coding, testing, debugging, code reviews, maintenance, and support
- Write clean, efficient, and maintainable code across frontend and backend services
- Monitor, debug, and resolve issues across the stack to maintain platform reliability.
- Stay updated on emerging technologies, bringing innovative ideas to enhance the platform.
- Collaborate with product managers, UX designers, data science and larger engineering team on business and architecture proposals to deliver seamless customer care experiences.
We're excited if you have
- 12+ yrs of relevant web development and production application support of highly trafficked consumer-facing web applications.
- In-depth experience with React and relevant toolset/framework ecosystem.
- Expert-level knowledge of JavaScript, Typescript – prototypical inheritance, scope and closures.
- Experience with js, React.js/Angular.js, Express, SASS/LESS, AWS, npm, Git and CI a necessity.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and microservices architectures
- Strong understanding of database systems (SQL and NoSQL).
- Familiarity with DevOps practices and tools (CI/CD, Docker, Kubernetes).
- Ability to decompose complex problems into manageable units of work.
- Excellent problem-solving skills and ability to work in an agile environment.
- Effective communication and collaboration skills.
- Bachelors or Master’s degree in Computer Science, Engineering, or equivalent.
- Experience with customer service platforms or CRM systems is preferred
- Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred
- Knowledge of service mesh architectures is preferred
- Exposure to observability tools and practices (e.g., Prometheus, Grafana) are preferred.
#LI-SJ1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
-
Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
-
Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
-
Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise in developing low latency APIs
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
-
Strong programming skills in Python, Java, and/or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
-
Expertise in developing low latency APIs
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Software Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!
What you'll be doing
- Work alongside a highly skilled engineering team to design, develop, and maintain large scale, highly performant, real-time applications.
- Own building features, driving directly with product and other engineering teams
- Demonstrate excellent communication skills in working with technical and non-technical audiences
- Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops
- Be an evangelist for platform innovation and reuse
- Deliver top-quality software in a timely fashion
We're excited if you have
- 8+ years of experience building large scale and low latency distributed systems.
- Command of Java or C++.
- Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming.
- Experience with distributed caching, SQL/NO SQL, and other databases is a plus.
- Experience with Big Data and cloud services such as AWS/GCP is a plus.
- Experience in advertising domain a big plus
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent
- Self-motivated individual with a high level of accountability and ownership.
- Critical thinking and practical decision making.
- Can do, results-oriented mindset.
- Nonpolitical, collaborative, and team oriented.
- Desire to win in a highly competitive industry.
- AI growth mindset / AI Literacy
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
-
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with atleast one of the following Apache Druid, StarRocks, and Trino.
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
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Familiarity with additional big data technologies, including Hadoop and Kafka.
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Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
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Strong programming skills in Python, Java, or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
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Expertise in data modeling, schema design, and data visualization tools.
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Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Descriptions:
- Closely work with Domain Managers and business requester to understand the requirement. !
- Collaborate with global teams and market D&A teams to gather the requirement and create a backlog.
- Deep dive at the data element level to create the quality source to target mapping.
- Take the accountability on the output validation and the UAT support.
- Strong collaboration with Tech team, Project Manager and delivery lead.
Job Requirements
- Sufficient understanding of data domain and a complete data life cycle.
- In-Depth understanding of Banking products , Customer and product related metrics.
- Experience in requirements Gathering, Data analysis, Data quality monitoring and Data lineage.
- Good interpersonal skills to collaborate with various teams and leads.
- Clear communication and presentation skills
- Strong in SQL.
Ready to apply?
Apply to CapcoWho we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About the role:
Samsara Technologies India Private Limited is looking for a NetSuite Techno-Functional Consultant.
We are seeking a skilled NetSuite Techno-Functional Consultant with a balanced expertise of scripting and functional knowledge. The ideal candidate will have a robust background in both the technical and functional aspects of NetSuite, including customization, integration, and business process optimization. This role requires a blend of technical proficiency and business acumen to support and enhance our NetSuite environment effectively.
This is a hybrid position requiring 2 days per week in our Bangalore office and 3 days working remotely. Relocation assistance will not be provided for this role.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
- You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.
In this role, you will:
- Design, develop, and deploy advanced customizations, scripts, workflows, and integrations on the NetSuite platform, ensuring scalability, performance, and maintainability.
- Own and evolve SuiteScript 2.X scripts, SuiteFlow workflows, and SuiteTalk web services end-to-end, serving as the platform SME for the team.
- Lead technical design & code reviews for new features and integrations, defining standards and enforcing best practices across the team.
- Troubleshoot and resolve complex SOAP, RESTlet, and API errors, performing root cause analysis and implementing durable fixes.
- Customize NetSuite dashboards, forms, fields, saved searches, records, and reports to meet evolving business requirements across Finance, Procurement, Order Management, and Inventory.
- Perform system audits and generate insights to assess the performance, reliability, and effectiveness of NetSuite configurations and customizations.
- Provide ongoing maintenance, support, and enhancements for NetSuite applications to ensure optimal performance and reliability.
- Leverage AI-powered developer tools — including Cursor, Claude Code, and Gemini — to accelerate development velocity, improve code quality, and reduce time-to-delivery on complex initiatives.
- Champion the adoption of AI-assisted workflows (code generation, debugging, documentation, code review) within the FinSys engineering team.
- Continuously evaluate and recommend new AI tooling and development accelerators that improve team productivity and platform reliability.
- Own and enforce Git-based version control practices across all NetSuite customization and integration work, including branching strategies, pull request workflows, and code review standards.
Minimum requirements for the role:
- Bachelor's degree or equivalent years of experience.
- 7+ years of hands-on experience in NetSuite development and functional roles, with demonstrated ownership of complex, production-grade solutions.
- Deep proficiency in SuiteScript 2.0, SuiteFlow, SuiteTalk, RESTlets, and SuiteBuilder.
- Strong command of JavaScript, HTML, CSS, and SQL; ability to write, debug, and refactor complex scripts independently.
- Proven experience designing and building NetSuite integrations with external systems using REST/SOAP APIs and integration platforms.
- Strong functional knowledge of NetSuite modules including Financials, Order Management (O2C), Procurement (P2P), and Inventory.
- Familiarity with AI developer tools such as Cursor, Claude Code, or Gemini, with demonstrated use in accelerating development workflows.
- Experience with Git and GitHub for version control, code collaboration, and pull request-based development workflows.
- Ability to operate autonomously on complex, ambiguous problems in a fast-paced, enterprise-scale environment.
- Strong understanding of NetSuite data model, configuration, and best practices.
An ideal candidate also has:
- NetSuite certifications (e.g., SuiteFoundation, SuiteCloud Developer, ERP Consultant) are preferred but not required.
- Hands-on experience with integration platforms such as Workato, MuleSoft, or Boomi.
- Track record of identifying and implementing meaningful improvements to NetSuite performance, automation, and user experience.
- Excellent problem-solving skills and attention to detail, with a structured approach to debugging and root cause analysis.
- Strong sense of ownership: you see ambiguous, high-impact problems as opportunities and drive them to resolution without being asked twice.
- Experience working in a mid-to-enterprise organization undergoing rapid growth, where agility and pragmatism matter as much as technical depth.
- A growth mindset — you invest in your own skills, share knowledge generously, and raise the bar for those around you.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Ready to apply?
Apply to Samsara
Senior Data Engineer
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Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
The Role:
We are seeking a Senior Data Platform Engineer to join our dynamic and growing team, responsible for building, scaling, and optimizing our cloud-native data platform. You will design and implement scalable data pipelines that power business-critical analytics, real-time insights, and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity to redefine our data infrastructure to enable the next generation of products and drive innovative data initiatives.
Roles and Responsibilities:
- Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutions
- Write highly scalable code by following best practices in concurrency, resource optimization, and fault tolerance.
- Build and maintain the Infra with best IoC practices
- Identify and implement internal process improvements, including automating manual tasks, optimizing data flow, and re-designing infrastructure for higher scalability and resilience.
- Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.
- Build and maintain data tools that enable analytics, BI, and data science teams to experiment and optimize their workflows.
- Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.
- Optimize data models and architectures to power machine learning, reporting, and real-time analytics.
- Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.
- Work with stakeholders across the organization to ensure alignment between data infrastructure and business needs.
Mandatory Qualifications:
- 4+ years of hands-on experience in Building and managing Large Scale Data Platforms.
- Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.
- Strong Experience in Building and Maintaining Data Intensive APIs and Distributed Data Processing Systems
- Strong programming skills in Scala, Golang, and optimizing SQL queries.
- Experience with both relational SQL and NoSQL databases
- Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.
- Experience working in cross-functional, agile environments.
- Open-source contributions or active participation in developer communities.
- Prior experience in a product-based company is highly preferred.
Ready to apply?
Apply to Razorpay Software Private Limited
Senior Software Engineer
Location: Coimbatore/Bangalore
Experience: 5+ years
Who we are and What we do?
AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility. AppViewX is also certified as a Great Place to Work in India, cementing us as an employer of choice.
What will you be responsible for?
Role in developing information systems by studying operations, designing, developing, and installing software solutions, while also supporting and collaborating with the software team.
- Participate in a full software development life cycle. If you are game for it, own an entire module.
- Learn to build highly scalable, low-latency, high-throughput systems that have five 9 availability.
- Work closely with customer advocacy boards, cross-functional teams and engineers to develop the best technical design and approach for new product development/features.
- Handle multiple priorities in a fast-paced environment.
- Innovate & experience working with highly skilled teams in multiple locations with loads of fun.
What do we require?
- Experience in Java skill with excellent data structures, algorithms skills, design pattern & OOPS concept.
- Experience in .Net Skills, Microsoft CSP (C++) and a PKCS#11 library (C) to enable secure and compliant code-signing workflows.
- Experience with client/server, multi-threaded and distributed software.
- Proven design sensibility and the willingness to work in a collective, team-oriented environment.
- Knowledge of Kubernetes and Containers.
- Excellent written and verbal communication skills with the ability to present complex plans and designs.
- Strong reasoning and problem-solving skills under your wing.
- Good presentation, communication and people skills.
- Quick learner, creative, resourceful, and being able to work on your own.
What do we desire?
- Knowledge of database design and database programming using SQL & NO-SQL concepts.
- Familiar and hands-on experience with Managed Kubernetes environments like EKS, AKS, GKE.
- Familiarity on the development and maintenance of a Windows Gateway solution built using C# and .NET Framework to manage CLM and device operations
What brings us together?
What makes us stand out from the rest is the people. The people who push hard every day to be more smart, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!
What’s more in store?
AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.
What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.
Why AppViewX?
AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.
AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.
Ready to apply?
Apply to AppViewX
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements.
What you’ll do
Responsibilities
- Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs
- Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth
- Be the data strategy partner for our business stakeholders
- Reconcile complex dataset across complex finance systems
- Coordinate cross-functional projects to identify and drive operational efficiencies that support our stakeholders ability to run more efficiently and effectively
- Work closely with Engineering and Product teams to help define product solutions
- Leverage AI tools to improve team work efficiency
- Conduct internal knowledge sharing sessions to strengthen team
Who you are
You’re passionate about solving business problems and making a direct impact on business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g. AI). We’re seeking someone with excellent communication and advanced SQL/analytics abilities. Strong background in Accounting/Finance or prior AI experience is highly preferred, though these can also be developed on the job.
Minimum requirements
- Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 4+ years of prior working experience in data analysis fields
- Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships
- Experience working with extremely large datasets
- Outstanding communication skills
- Expertise working cross-functionally to drive business and operational goals
- Excellent project management skills and ability to hold others accountable for results
- Ability to connect the big picture to minute details
- Operating as part of a team adhering to established norms and values
- Ability to identify opportunities to improve the data management processes
- Domain knowledge in Finance/Accounting/GTM
Preferred qualifications
- Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
- Experience working with PM, Engineers, GTM, Accounting Team or Finance Team
- Experience working with financial datasets
- Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
- Experience with visualization tools
- Experience with AI tools (Claude Code, Kai, etc.)
- Domain knowledge in FinTech Products
- Bachelor's or Master degree in Accounting/Finance major
- CPA/CFA certification
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe.
What you’ll do
In this role, you’ll be the go-to expert for your business area. You’ll partner directly with our Head of SDC and be his go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives.
Responsibilities
- Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities.
- Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Operations leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting.
- Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more
- Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs
- Support planning: support with forecasting/planning processes for your business area, including near/medium/long-term planning, to enable leadership to make strategic decisions
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 6+ years of prior experience in analytical and strategic roles in management consulting, Operations, Support, Risk or Financial Services
- Outstanding analytical ability, expert in SQL and understanding of data relationships
- Outstanding communication, presentation skills & stakeholder management skills
- Experience working in or with Financial Services, Accounting, GTM/Sales, Operations
- Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
- Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy
Preferred qualifications
- Experience working in fast-paced environments (e.g. high-growth internet or software company, management consulting)
- Structured problem solving skills, combined with strong business acumen.
- Experience with Tableau
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Sales Compensation Team at Stripe is responsible for the overall compensation strategy, design, and payment administration for the global sales organization. We ensure that Stripe’s objectives align with the compensation program and that our sales teams are paid accurately and timely. We provide thought leadership for the go-to market initiatives so that performance and compensation are effectively correlated. The Sales Comp team partners closely with the revenue generating and support functions across Stripe to support the success of our sales efforts.
Stripe’s Sales Compensation Team has an opening for a role that will be responsible for the compensation calculation and payment process for the sales organization. Working as a team of three, this role will play a critical role in ensuring the sales team is correctly paid on schedule. This will include the following steps: processing data, validating calculations, communicating compensation and handling clarification requests. This role will require patience for handling sensitive compensation issues with stakeholders.
Responsibilities
- Deliver accurate and on-time payments to roles with variable sales compensation structures.
- Own and conduct regular audits of incentive compensation management (ICM) tool including: personnel set up, plan management, processed data, and commissions calculations.
- Process data, ensure correct calculations, communicate compensation and handle clarification requests.
- Be the first responder to compensation inquiries and support escalation when needed.
- Leverage both Google Sheets and an ICM tool to complete the payment process.
Have an in-depth understanding of the sales function, product priorities, and individual sales team characteristics.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- BS or BA in Business, Finance, Economics, Math, or Statistics.
- 2+ years of experience in a sales compensation payment role.
- Experience with CRM (e.g. Salesforce) and ICM (e.g. Captivate IQ, Varicent, Xactly) tools.
- Experience with reporting tools, SQL query optimization, and Tableau
- Very organized and attentive to detail, with excellent prioritization skills that allow you to consistently deliver quality results on time.
- Ability to handle the complexities of an end-to-end commissions close, including managing multiple deadlines.
- Ability to address questions and concerns quickly and patiently.
Preferred qualifications
-
- Experience with SOX Compliance and process documentation
- Experience in Sales or Sales Operations roles.
- Good communication skills, both verbal and written, with the ability to convey information effectively and empathetically to sales staff and cross-functional teams.
- Sequel programming experience.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a large amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Treasury Operations is integral to the strategy, execution, and support of many Treasury Finance’s core functionalities (bank account management, cash management, investment management, payments processing, risk management, and compliance). We are seeking an exceptional candidate to join this growing team.
What you’ll do
At its core, Stripe is a treasury company, and we are building a top-notch Treasury Operations team to support our critical functions. In addition to daily operational support of the Treasury Finance functions, you will help drive the transformation towards more efficient and automated processes, helping build tools and systems to create operational efficiency and excellence for each aspect of Treasury Operations, and develop metrics to ensure we’re continuously improving the function. You will also collaborate closely with the Liquidity Management, Capital Markets, and Capital and Financial Risk Management pillars within Treasury Finance to support operations for cash management, trading, and investment programs.
You will:
- Support our cash management processes (including funding, cash positions, forecasting, and other aspects of treasury operations)
- Help manage daily operations relating to FX and interest rate trading support, investigation of breaks and aged items, and bank partner relationship management in the market
- Analyze and optimize funds flows across a number of areas including costs, working capital, liquidity risk, and other constraints leveraging system solutions where possible
- Assist with the creation and updating of Treasury Finance policies and procedures, and RCSA controls
- Develop metrics that help monitor the overall health of the function and help set priorities for future developments
- Support internal and external audits as needed
Our ideal candidate will have:
- 4 + years of Treasury experience, preferably within liquidity management, finance risk management, and process improvements
- Strong problem-solving skills. You enjoy “rolling up your sleeves” to dive into the details of a complex problem to come up with scalable solutions
- Experience building processes and leveraging systems to scale treasury operations
- Strong communication skills to build cross-functional relationships
- Fast learner, with exceptional attention to detail, and ability to multi-task and navigate a fast-paced environment with tight deadlines and flexibility with changing requirements
Nice to haves:
- Strong knowledge of the payments industry
- Knowledge of regulations that pertain to the payments and financial services industry
- Experience with SQL, R, or equivalent
Ready to apply?
Apply to Stripe
Monetization Operations Analyst
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the Team
The Finance Operations (FinOps) team provides and enhances core business services that are the backbone of Stripe. FinOps uses data and operational excellence to deliver technology solutions, payroll services, operational excellence, and monetization services to Stripe.
What You'll Do
We're looking for a Monetization Services Analyst to join our growing team. This individual will help us improve user experience through accurate and timely onboarding of contracts and workflows, and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers.
You will:
- Be responsible for onboarding sold custom contracts into our billing systems.
- Work with legal contracts with strong attention to detail and accuracy.
- Develop and manage scalable billing and collection processes for complex user agreements and new business operations.
- Build scalable and auditable onboarding processes for new and existing users.
- Partner with internal systems, global deal management, legal, sales ops, internal audit, go-to-market, engineering, and accounting teams to develop and improve processes for contract reviews and to anticipate changing business requirements.
- Partner with account managers to resolve user inquiries related to onboarding implementation, billing, and collections.
- Advocate for the customer to internal stakeholders. Share system feedback and insights with Sales, Product Management, Engineering, Support, and Legal on innovation and improvements needed to optimize the Stripe user experience.
- Help scope, build, and deliver continuous process improvements that enhance operations.
Who You Are
Minimum Requirements
- 2+ years of experience in a client-facing role, ideally in customer success, consulting, financial services, account management, or sales, preferably working with technical products.
- Track record of leading technical conversations and persuading others to take action based on requirements and value provided by solutions.
- Ability to be detail-oriented while visualizing the larger impact of a series of transactions.
- Strong analytical skills and the ability to navigate data and people to find answers.
- Strong operating rigor, including organizational and time management skills.
- Ability to work well with a wide range of people, both internally and externally, including working with a team of sales and services peers.
- Motivation and flexibility to work well in a high-growth environment where things change quickly.
Preferred Qualifications
-
- Ability to trace process impacts from situation to end customers and business financial outcomes.
- Knowledge of or experience in the payments industry.
- Demonstrated professional experience using GSuite, Excel, and working with large data sets; experience with SQL is a plus.
- Demonstrated project management or consulting experience and the ability to work cross-functionally.
- A builder's mindset and a willingness to question assumptions and conventional wisdom.
- A passion for learning and solving problems through infrastructure and automation.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Role Overview
We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.
What You'll Do
Financial Data Analytics & Modeling
- Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
- Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
- Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
- Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics
Business Intelligence & Reporting
- Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
- Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
- Develop self-service analytics capabilities enabling finance teams to access real-time business insights
- Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)
Data Engineering & Analytics Infrastructure
- Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
- Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
- Ensure data quality, consistency, and governance across financial reporting systems
- Optimize database performance and data architecture for scalability
Strategic Analysis & Insights
- Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
- Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
- Translate complex data findings into clear, actionable recommendations for leadership
- Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases
Required Qualifications
Technical Skills
- Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
- Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
- Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
- Preferred: Python or R for data analysis, automation, and statistical modeling
- Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
- Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)
Financial & Business Acumen
- Experience in data analytics within finance, FP&A, or revenue operations functions
- Strong understanding of financial statements (P&L, balance sheet, cash flow)
- Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
- Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
- Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)
Analytical & Problem-Solving
- Proven ability to work with large, complex datasets and derive meaningful insights
- Experience building financial models and dashboards that drive executive decision-making
- Strong statistical analysis skills and understanding of data visualization best practices
- Track record of translating ambiguous business problems into structured analytical frameworks
Preferred Experience
- Background in fintech, payments, B2B SaaS, or high-growth technology companies
- Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
- Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
- Exposure to data science methodologies and machine learning concepts
- Previous work in cross-functional environments collaborating with finance, data science, and business teams
Key Competencies
- Business Acumen: Ability to understand complex business models and translate them into data requirements
- Technical Excellence: Deep technical skills with commitment to code quality and best practices
- Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
- Stakeholder Management: Experience partnering with senior leaders and influencing through data
- Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
- Continuous Learning: Curiosity to learn new tools, techniques, and business domains
- Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting
Education
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
- Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus
What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team:
The Stripe Product Accounting Team is responsible for supporting all products at Stripe, consulting on accounting implications and supporting teams' ability to make informed strategic decisions. We are responsible for the accurate and timely recording of all business-generated transactions on our balance sheet and income statement. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.
What you’ll do
Stripe is seeking an experienced accounting data analyst to join its world class Accounting team and help us scale for the future, in a fast-paced environment that’s growing rapidly. A member of the Accounting Data Analyst team will support the processing and reporting of our global financial results.
Responsibilities:
- Enable timely financial close and margin analysis through data analytics and visualization
- Wrangle large, highly complex datasets into actionable insights and become the data expert for gross margin accounting. Perform analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill accounting and finance stakeholders’ needs
- Implement anomaly detection of automated accounting activity to identify potential misstatements in financial results
- Drive cross-functional projects, primarily partnering with FP&A, Financial Systems, and Product Engineers, to identify opportunities to help our stakeholders operate more efficiently and effectively
- Work independently to investigate the root cause of system breakages and drive both short and long-term resolution
- Develop testing strategies and build population to satisfy analytic-based audit needs
Who you are:
We’re looking for someone with a strong Accounting background as well as experience in data analysis, as described further below. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements:
- 5-7+ years of relevant public accounting and/or industry experience
- B.A. or B.S degree in Accounting or Finance (CPA preferred) OR CA qualified
- Fluency in U.S. GAAP
- Strong knowledge of Excel and experience working with large amounts of data, often coming from multiple sources
- Intermediate or advanced SQL proficiency
- Demonstrated experience partnering with cross-functional stakeholders
- Self-motivated individual with a demonstrated history of taking on various types of challenging projects and producing results, with excellent attention to detail
- Solution-oriented mindset with enthusiasm for establishing best practices, and challenging existing processes to identify improvement opportunities
- Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences
Preferred qualifications:
- Knowledge of (or experience in) the technology or payments industry.
- Experience working in an automated accounting environment
- Experience with Tableau, Alteryx, or other visualization tools
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Stripe's Finance & Strategy team is hiring a Finance Analytics Analyst. This role requires a finance professional with strong FP&A capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and P&L reporting for assigned business areas while using data and technology to deliver high-quality financial insights. This role reports into the Finance & Strategy Center of Excellence.
Responsibilities
Financial Planning & Analysis
- Own P&L reporting and analysis for assigned product lines, business units, or functional cost centers
- Lead monthly and quarterly planning, forecasting, and close processes
- Perform variance analysis (actuals vs. budget, actuals vs. forecast, period-over-period) with clear identification of root causes and business drivers
- Track and reconcile accruals vs. actuals; ensure accuracy and completeness in financial reporting
- Support annual budgeting, long-range planning, and scenario modeling
- Build and maintain financial models for business case analysis, investment decisions, and resource allocation
- Partner with business teams to provide financial perspective on operational and strategic decisions
Data Analytics & Reporting
- Write SQL queries to extract, validate, and analyze data from financial systems and data warehouses
- Build and maintain financial dashboards and reports using Power BI, Tableau, or equivalent BI tools
- Develop data models that integrate financial and operational data for planning, forecasting, and performance reporting
- Automate and standardize recurring reports to reduce manual effort and improve consistency
- Navigate complex, high-volume data environments (trillions of transactions across products and geographies) to extract relevant financial signals
- Ensure data accuracy and consistency across all financial outputs
AI-Augmented Working
- Use AI tools (Claude, Cursor, Claude Code, and similar platforms) as part of workflow for analysis, coding, report building, dashboard prototyping, and problem-solving
- Apply an AI-first approach to new tasks, evaluate where AI can accelerate delivery before defaulting to manual methods
- Contribute to team-wide AI adoption by sharing effective workflows, prompts, and use cases
Business Insights & Communication
- Prepare executive-level reports on financial performance, trends, and key metrics with clear conclusions and recommendations
- Conduct ad-hoc analysis to support strategic initiatives and leadership decision-making
- Translate data and financial analysis into actionable business recommendations for finance and non-finance stakeholders
- Track and interpret key financial and operational metrics including revenue, processing volume, take rate, costs, margins, and unit economics
Requirements
Financial & Business Skills
- 5–7+ years of experience in FP&A, financial analysis, strategic finance, or corporate finance roles
- Strong understanding of financial statements (P&L, balance sheet, cash flow) and the ability to connect them into a complete financial picture
- Demonstrated experience in budgeting, forecasting, variance analysis, and financial planning cycles
- Working knowledge of accrual accounting, revenue recognition, cost allocation, and reconciliation processes
- Fluency in financial metrics: revenue, gross margin, EBITDA, operating leverage, unit economics
Technical & Data Skills
- Must Have: Strong SQL skills for data extraction, transformation, and analysis from relational databases and data warehouses
- Must Have: Proficiency in Power BI, Tableau, or equivalent BI tools for dashboard development and reporting
- Must Have: Advanced Excel / Google Sheets — financial modeling, scenario analysis, pivot tables, complex formulas
- Preferred: Python or R for data analysis, automation, or analytical workflows
- Ability to work with large, complex datasets across multiple data sources
AI Adaptability
- Must Have: Active, demonstrable use of AI tools in current work — candidates should be able to provide specific examples of how AI has improved their workflow, output quality, or speed
- Willingness and ability to continuously adopt new AI tools and methods as they become available
- Comfort using AI for coding assistance, data exploration, dashboard prototyping, and analytical problem-solving
Mindset & Working Approach
- Ownership: Treats assigned areas as personal accountability — does not wait for direction to investigate issues, identify risks, or surface insights
- Depth and curiosity: Goes beyond surface-level analysis to understand business context, root causes, and second-order implications
- Quality and accuracy: Holds a high personal standard for the correctness, completeness, and trustworthiness of all outputs
- Business context orientation: Understands the business model and connects financial data to what is actually happening operationally and strategically
- Clear communication: Presents financial and analytical findings to diverse audiences (finance, product, engineering, leadership) with clarity and precision
- Speed with rigor: Operates effectively in a fast-paced environment without compromising accuracy
Preferred Experience
- Background in technology, payments, fintech, SaaS, or high-growth platform businesses
- Experience with ERP systems (NetSuite, SAP, Oracle) or planning tools (Anaplan, Adaptive Insights, Pigment)
- Exposure to data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift)
- Experience in cross-functional environments working directly with product, engineering, and go-to-market teams
- Experience with high transaction volume environments where data complexity is inherent
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data.
What you’ll do
We're looking for a person who could drive the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of Data Engineering tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.
You will:
- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.
- Partner with our recruiting team to attract and hire top talent.
- Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.
- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.
- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.
- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
- Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.
- Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
We’re looking for someone who has:
- 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.
- A strong engineering background and passion for data.
- Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
- An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
- Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Thrive with high autonomy and responsibility in an ambiguous environment.
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.
- Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
- Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
Bridge, a Stripe company, is a rapidly growing business and the number of developers integrating our APIs is growing quickly. We provide Slack-based support to our developers on a wide range of topics in close partnership with our internal engineering team. We’re a small but mighty team that’s expanding global coverage and is looking to make our first Product Support Specialists hires in Mexico City.
About the team
In this role, you’ll be working directly with developers integrating Bridge APIs and helping them resolve their issues. You will take ownership of complex, technical user issues and work across teams to resolve them. As part of the team, you’ll have a big impact to grow the Product Support operation and enhance various aspects such as capacity planning and forecasting, operational tools and systems, workflow optimization and automation, metrics and reporting, quality control, and more.
What you’ll do
Stripe is launching Stripe Delivery Centers - a brand new global team to design, implement and grow Stripe’s operations for the next decade. We are looking for dynamic and curious people that have a passion for solving global user issues, building operations, driving process improvements and want to play a front-line role in building this new operational capability for Stripe and accelerating Stripe’s growth. If you like challenging, scaled problems and are an amazing teammate, we want to hear from you!
Responsibilities
- Analyze and troubleshoot complex technical issues through direct user interaction (Slack) and leveraging your knowledge of API documentation.
- Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues.
- Strategically optimize and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics.
- Lead continuous improvement initiatives aimed at hitting key performance metrics.
- Create and refine documentation to empower users to resolve issues via self-service, reducing dependency on support teams.
- Constantly challenge the status quo and push for innovation in user support strategies and operational processes.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 1-5 years of experience in a customer support role.
- You have a user first mindset and are energized by the challenge of solving difficult problems.
- You have excellent communication skills, both written and verbally.
- You excel in analytical thinking and problem solving.
- You might have prior experience in customer service or internal/external user facing operations processes, you are an organized, self-starter with passion for finding solutions to our user’s challenges.
- You have a process-oriented mindset and ability to get things done.
- You enjoy working in an in-office environment with strong cross team collaboration and support.
- You are able to prioritize and enjoy working in a quick-moving environment.
- You are humble and have a proven track record for working well across teams and with external partners.
- You're willing to periodically work a weekend day for which you will receive a weekday off; the SDC operates during daytime hours with shifts from the morning through early evening.
Preferred qualifications
- Familiarity with SQL and ability to use template or premade SQL queries as part of investigations.
- Prior experience with cryptocurrency support.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe.
What you’ll do
In this role, you’ll be the go-to expert for your business area. You’ll partner directly with our Head of SDC and be his go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives.
Responsibilities
- Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities.
- Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Operations leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting.
- Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more
- Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs
- Support planning: support with forecasting/planning processes for your business area, including near/medium/long-term planning, to enable leadership to make strategic decisions
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 6+ years of prior experience in analytical and strategic roles in management consulting, Operations, Support, Risk or Financial Services
- Outstanding analytical ability, expert in SQL and understanding of data relationships
- Outstanding communication, presentation skills & stakeholder management skills
- Experience working in or with Financial Services, Accounting, GTM/Sales, Operations
- Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
- Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy
Preferred qualifications
- Experience working in fast-paced environments (e.g. high-growth internet or software company, management consulting)
- Structured problem solving skills, combined with strong business acumen.
- Experience with Tableau
Ready to apply?
Apply to Stripe
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our global Finance and Strategy team (F&S) are strategic business partners to Stripe’s leaders, providing clear insights which simplify the complexity of the business, and drive the key operating forums to enable effective decision-making.
F&S is expanding to support the needs of our growing business, and this role is an exciting opportunity to join a new Finance & Strategy team in Bangalore. This team is chartered to deliver thoughtful analysis to inform key business decisions, through simplification and automation of key financial planning processes. If you are an experienced Finance FP&A professional who wants to make an impact in a dynamic and growing organization, please read below.
What you’ll do
We're looking for a F&S Analyst to join our growing team. This individual will help us with the forecasting budgeting and reporting for various departments accurately and in a timely manner and deliver improvements in our integrated financial systems with business partners, finance colleagues, and engineers.
Responsibilities
- Leverage your financial background to support and influence key strategic and business decisions
- Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses
- Drive reporting, process and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans)
- Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy
- Define metrics and leading indicators of business performance
- Partner with Data Science teams to develop reporting dashboards
- Drive continuous process improvement, standardization, simplification and reporting enhancements
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 4+ years of relevant experience in strategic finance or FP&A
- A keen analytical eye and experience building integrated models from scratch (in Excel or other planning applications)
- Experience driving and executing on finance processes (e.g. budget, forecast reviews, negotiations, investment analysis)
- A proven ability to build strong collaborative working relationships with business partners
- A proven ability to be a self starter capable of driving business results without significant supervision
- The ability to maintain high performance under tight timelines and a “roll up your sleeves” mindset to get any job done
- The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment
- Excellent verbal and written communication skills
- Excellent communication and organizational skills, both written and verbal.
- Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions
- Strong knowledge of gSuite tools, Salesforce and MS-Office products and experience working with/analyzing contracts and large data sets.
- Independently analyze and evaluate information from various data sources to determine a course of action for a matched case
- Demonstrated experience partnering with cross-functional stakeholders
- Demonstrated history of taking on various types of challenging projects and producing results
- Solution-oriented mindset with enthusiasm for establishing best practices
- Self-disciplined, diligent, proactive and detail oriented
You will also likely have (not required):
- Experience working at a high-growth technology or financial services company
- Oracle, Anaplan, Tableau or other equivalent application experience
- Experience with SQL or a willingness to learn
- Experience in data visualization and dashboarding
Ready to apply?
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Senior QA Automation Engineer
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Greetings From Zeta Global !!
Requirements:
- Education:
- B.S. or M.S. in Computer Science or a related field.
- Experience:
- 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
- 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
- Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
- Web application testing experience required both in frontend and backend validations.
- Experience working in a fast-paced technology environment.
- Technical Skills:
- Knowledge and experience with Robot Framework and its libraries using Python.
- Strong proficiency in Python programming.
- Knowledgeable in Git workflows like branching, merging, and conflict resolution.
- Solid understanding of SDLC and Agile testing methodologies.
- Experience with Atlassian tools such as Jira and Confluence preferred.
- Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
- Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
- Experience working with container-based solutions is a plus.
- Soft Skills:
- Strong communication and interpersonal skills.
- Excellent problem-solving, critical thinking, and analytical skills.
- Ability and desire to learn new skills and take on new tasks.
Responsibilities:
- Testing and Automation:
- Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
- Continuously improve the test automation strategy to enhance test coverage and efficiency.
- Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
- Automate tests to ensure functional requirements and performance KPIs are met.
- Ensure high product quality through rigorous functional and API level tests.
- Collaboration and Mentorship:
- Understand business requirements independently and cooperatively.
- Mentor and guide other QA engineers on best practices in test automation.
- Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.
- Development and Documentation:
- Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
- Develop comprehensive test plans covering business use cases and test cases.
- Identify, record, document thoroughly, and track bugs.
- Perform thorough regression testing when bugs are resolved.
Company Summary
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
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Apply to Zeta GlobalSenior Data Engineer
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We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.
What You’ll Do
- Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
- Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
- Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
- Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
- Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
- Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
- Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.
5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).
- Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
- Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
- Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
- Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
- Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
- Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
- Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
- Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.
- AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
- Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
Experience supporting ML feature stores, offline/online feature generation, or model training datasets.
- Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
- Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
- Open-source contributions, publications, or conference speaking.
- BS/MS in CS/Engineering or equivalent practical experience.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
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Apply to Zeta GlobalStaff Backend Engineer
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As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.
Responsibilities:
- System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
- Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
- Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
- Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
- Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
- Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.
Required Qualifications:
- 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
- Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
- Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
- Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
- Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
- Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
- Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
- Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
- Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.
Preferred Qualifications:
- Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
- High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
- Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
- Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
- Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
- Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.
Company Profile:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
ZETA IN THE NEWS!
Ready to apply?
Apply to Zeta GlobalSenior Software Engineer
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Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.
As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.
Key Responsibilities:
As a Senior Software Developer, you will be:
- Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
- Designing, implementing application code to satisfy product requirements
- Ensuring high product quality through rigorous code reviews and unit tests
- Fixing bugs and implementing enhancements
- Taking ownership of a significant product component in design and implementation
Requirements:
- We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
- The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
- An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
- Strong communication skills in a large-distributed development team environment are essential.
- Experience in Advertising Attribution domain is a plus
Requirements:
- BS or MS in Computer Science or related field
- 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
- Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
- Experience with SQL languages
- Experience working with container-based solutions is a plus.
- Experience working in a fast-paced technology environment.
- Strong object-oriented programming and design skills.
- Excellent problem solving, critical thinking, and communication skills.
- Ability and desire to learn new skills and take on new tasks.
Company Profile:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
We invite you to explore this opportunity to be a part of the Zeta family……
Should you need any assistance or require further information, please do not hesitate to contact us.
Ready to apply?
Apply to Zeta GlobalStaff Backend Engineer
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As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.
Key Responsibilities
- System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
- Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
- Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
- Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
- Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
- Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.
Required Qualifications:
- 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
- Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
- Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
- Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
- Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
- Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
- Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
- Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
- Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.
Preferred Qualifications:
- Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
- High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
- Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
- Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
- Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
- Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
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At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.
We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.
You Will:
- Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
- Develop and optimize event-driven pipelines and workflows processing billions of signals.
- Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
- Ensure reliability, observability, and scalability across services and data pipelines.
- Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
- Mentor engineers and influence architecture and roadmap decisions.
You Have:
- 7+ years of experience in backend and/or data engineering at scale.
- Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
- Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
- Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
- Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
- Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
- Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
- Familiarity with CI/CD and automated testing practices for backend services.
- Strong communication skills and a track record of driving technical direction and mentoring teams.
Bonus Skills:
- Experience with large-scale or multi-tenant distributed systems.
- Exposure to real-time streaming frameworks (Flink, Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
- Background in security, compliance, or privacy related to identity systems.
Company Summary:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
We invite you to explore this opportunity to be a part of the Zeta family……
Should you need any assistance or require further information, please do not hesitate to contact us.
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As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.
Key Responsibilities
- Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
- ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
- Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
- AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
- Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
- Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
- Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.
Required Qualifications
- 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
- Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
- Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
- Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
- Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
- Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
- Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
- Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
- Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
- Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
- Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
- Experience with model serving and optimization for real-time inference (latency-critical environments).
- Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
- Knowledge of microservices architecture and event-driven design patterns in distributed systems.
- Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
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Apply to Zeta GlobalSecure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!
Job Duties and Responsibilities
- Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
- Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
- Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph)
- Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
- Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
- Support & resolve production issues across the full application stack
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
- Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
- Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
- Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
- Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and Retrieval Augmented Generation (RAG)
Education and Certifications
- A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
- AWS cloud Certification or any ERP foundation certificate is a plus
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The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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As a Senior Engagement Manager, Professional Services Sales, you will be a key leader within the Sales organization and work cross-functionally with the Application Modernization Platform (AMP), Professional Services (Delivery), and Customer Success organizations to drive professional services sales and subscription renewals. This is a quota carrying position.
We are looking to speak to candidates who are based in Bengaluru or Gurugram for our hybrid working model.
An ideal candidate will have
- A BS degree in Computer Science, Mathematics, Engineering or equivalent professional experience
- 7+ years experience in the sale of Professional Services and/or technology solutions at an enterprise software company
- Experience owning their own PS quota, pipeline generation, and forecasting
- An understanding of the intersection of AI & Modernization
- Strong presentation skills: Showing the value, capabilities, and differentiators of complex service solutions using methodologies and service offerings
- The ability to collaborate as a part of a larger account team to build and execute complex account strategies and sales plays
- An ability to scope and estimate projects
- Ability to travel up to 20% of the time
Other helpful skills include
- Experience with delivery of professional services (ie. Project Manager/Consultant, Pre-Sales or Sales)
- General knowledge of Databases (RDBMS, SQL, NoSQL)
- Knowledge of the software development lifecycle and associated development methodologies (e.g. Agile, Waterfall)
- Knowledge of software architecture including both cloud and on-premise technologies e.g. AWS, Azure, GCP, Kubernetes, Openshift
What you’ll do at MongoDB
- Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies
- Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of work (SOWs)
- Partner with a best-in-class sales organization and work effectively as a part of a larger team to develop account strategies and plans for the successful adoption, growth, and utilization of MongoDB
- Have a solid sense of ownership, driving all deals or technical scoping from inception to closure
- Manage the Professional Services pipeline for bookings and revenue forecasts for your region
- Expertly articulate the business value of professional services, talking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and mitigating risks
- Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.)
- Work with the delivery team to transition any agreed upon project scope and customer expectations to ensure successful project delivery
- Proactively seek opportunities to support and mentor other team members and share best practices
- Have situational awareness and react appropriately in group settings
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
| Requisition ID | 1273399790 |
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MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Bengaluru for our hybrid working model.
As an ideal candidate, you will have
- Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn
MongoDB Product Suite Mastery
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 1273351772
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Principal Solutions Architect (Application modernisation)
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MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram near an airport that will enable them to easily visit customer sites in APAC.
This role can be based remotely in Bengaluru, Mumbai or Gurugram.
Roles Responsibilities
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
- Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 426250
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a Software Engineer for Cloud Data Warehouse database connector team and supporting other databases teams to drive improved performance, reliability, and analytical power for our platform to delight our customers in how they use their data.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t need to be a subject matter expert before you join us (you will become one within this role!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure three times before you cut once.
A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for a high level of expertise and productivity with modern software development environments (we use Java).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day as one of our most senior engineers.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
- Java, SQL Server, SQL, Docker, AWS, GCP, BuildKite, DBeaver, Grafana
What You’ll Do
- Be a horizontally-scaling engineer (we grow together as a team)
- Design and implement features and performance improvements in the Fivetran core to create highly scalable distributed data pipelines on the cloud
- Care and feel ownership of our product platform, and leverage your skills towards improving it
- Advocate for core values, business impact, better engineering, and simple and direct solutions
- Lead engineering-wide initiatives for a number of key technologies
- Collaborate across engineering on cross-functional projects creating innovative solutions
- Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
- Review and approve technical design documents and pull requests
- Improve and enhance engineering systems documentation and development processes
- Coach and mentor other software engineers
- Contribute to hiring by participating in the interview process
Skills We’re Looking For
- Typically, 5+ years of software development experience in fast paced environments
- Demonstrated passion to learn how large-scale software engineering projects work
- Lead and mentor junior team members
- Has developed an ability to write, test, and deploy well-structured and performant code
- Experience developing data-processing systems, preferably for an external-facing product
- Strong technical communication skills (written and verbal) in English
- Proficient level programming in an object oriented / systems language such as Java, Python, C# etc.
- Experienced with end-to-end systems profiling, performance, and optimization
- Experience troubleshooting problems with existing code and systems
- Experienced working in a cloud environment architecture utilizing AWS, GCP, Postgres, Kubernetes, Docker, or similar technologies
Bonus Skills
- Experience with BigQuery, Snowflake, Databricks, SQL Server, Oracle, Postgres, MySQL, MongoDB, CosmosDB databases
- Developed any ETL/ELT pipelines
#LI-HYBRID
#LI-AV1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
Senior Database Solutions Architect (MS SQL Focus)
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Senior Database Solution Architect - MS SQL (US/EST timezone)
Job Overview
As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.
Key Responsibilities
- Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
- Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
- Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
- Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET) timings: 5:30 PM to 2:30 AM
- Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
- Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
- Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
- Translate complex customer requirements into clear, actionable technical strategies.
- Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
- Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
- Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
- Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.'
Qualifications
- 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
- Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
- Core expertise: Deep technical proficiency in the following areas:
- MS SQL Server: Architecting and managing large scale high-availability and disaster recovery (HADR) solutions. Including extensive experience with Always On Availability Groups (AG), Failover Cluster Instances (FCI), and log shipping.
- Cloud DBs: Design and management of Azure SQL, Azure SQL MI or Amazon RDS/Aurora or GCP CloudSQL
- Secondary Competencies: Proficiency or working knowledge of
- NoSQL/Distributed: MongoDB, Apache Cassandra.
- Relational DBs: Oracle, IBM DB2, Informix, PostgreSQL.
- Containerized DBs
- Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
- Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
- Experience conducting benchmarks and performance testing on enterprise systems (preferred).
- Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
- Strong cross-functional collaboration skills with sales, engineering, and product management.
- Exceptional communication skills, including compelling presentations and clear, concise writing.
- Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
- Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
- Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
- Work location: Bengaluru, India
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
Linkedin | X (formerly Twitter) | Instagram | Rubrik.com
Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
-
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
Ready to apply?
Apply to CapcoAbout Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Stripe’s Customer Success (CS) team supports revenue growth across GTM by helping a broad book of users activate, grow, and maximize their performance on Stripe.
This team, part of the Customer Success Organization, leads the charge in using data to inform strategic decisions and enhance operations across the company. We excel in pinpointing new opportunities, optimizing processes, and executing impactful projects at the team level. By crafting reusable data products and upholding high analytical standards, we deliver consistent and excellent results. Our role requires close collaboration with cross-functional partners to develop sustainable metrics and data models with long-term value. Combining payment expertise with technical skills, we manage data pipelines and maintain key analytics assets, simplifying complex technical concepts for diverse stakeholders.
What you’ll do
In this role, you will spearhead innovation by identifying transformative opportunities and developing scalable data solutions. You'll optimize data infrastructure and align initiatives with strategic goals, fostering collaboration across teams. By promoting a data-driven culture and building strong partnerships, you'll ensure sustainable growth and informed decision-making throughout the Customer Success and Paid Support Organization.
You will also be instrumental in building datasets and tools that enable externally facing Stripes to deliver tailored content to their customers.
Responsibilities
- Identify and scope new opportunities, processes, and projects that have team level impact.
- Create reusable data products (dashboards, data models, code) that set high standards for future projects and for other analysts across the organization.
- Assist in developing the team's data pipelines and performance workbooks by leveraging both your expertise in payments and technical skills. This involves building metrics pipelines, writing code, and being proficient with SQL.
- Set priorities for the Customer Success team’s technical/data opportunities, secure partner buy-in, and manage reprioritization as needed.
- Develop vertical agents that solve the Customer Success teams' most manual or repetitive tasks.
- Maintain analytics assets owned by the team, such as metric definitions, technical documentation, query libraries, and other tooling
- Act as a resource to the team and broader business for understanding the nuance and technical complexity of Customer Success datasets.
- Communicate complex technical concepts effectively to the team, cross-functional partners, and broader stakeholders.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 3-8+ years experience in Data Analysis, BIE, or Technical Customer Advisory roles
- Expertise in data visualization and using data insights to make recommendations
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Ability to clearly communicate results and drive impact
- Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
- Familiarity with card payments ecosystem
- A proven ability to build collaborative working relationships to execute on complex projects with cross-functional teams.
- The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.
- A proven ability to be a self-starter capable of driving business results without significant supervision.
- Excellent verbal and written communication skills.
Preferred qualifications
- Proficiency in SQL (advanced), Python and git (intermediate)
- Data viz, dashboard building, modeling, and reporting automation
Ready to apply?
Apply to Stripe
Manager Software Engineering
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Here’s a summary of the role: [Only Bangalore based candidates may apply]
You’re a hands-on engineering leader who loves building high‑performing teams and modern software that customers truly value. In this role, you’ll lead agile engineering teams to deliver scalable, high‑quality products while actively shaping how AI accelerates software development.
You’ll combine strong technical foundations with people leadership, coaching engineers to do their best work and using AI‑powered tools to raise the bar for developer productivity, software quality, and delivery outcomes.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Lead and coach agile engineering teams to deliver reliable, scalable, customer‑focused software.
- Champion engineering excellence, continuous improvement, and measurable delivery outcomes.
- Drive the adoption of AI‑assisted development tools to improve coding efficiency, documentation, and design decisions.
- Partner closely with product managers, architects, and other engineering leaders to align technical delivery with business goals.
- Lead complex technical and cross‑functional initiatives from concept to production.
- Shape a modern, AI‑driven developer experience that encourages learning, experimentation, and innovation.
These are the essentials you’ll need to get an interview:
- Overall around 10 years, with close to 5+ years’ experience Leading / managing software engineering teams.
- Proven success leading agile teams delivering high‑quality, scalable software.
- Strong hands‑on technical background with React, Node.js, TypeScript, relational databases (MySQL), and cloud platforms such as AWS, Azure, or GCP.
- Solid understanding of modern software architecture, design principles, CI/CD pipelines, DevOps, and SQL/NoSQL databases.
- Experience working with AI‑assisted engineering tools (e.g. GitHub Copilot, Claude AI, Cursor AI).
- Excellent communication skills with the ability to work effectively with technical and non‑technical stakeholders.
- A customer‑first mindset, ensuring user needs guide technical decisions.
It would be great if you had these too, but we’ll support you if you don’t:
- Experience implementing or scaling AI‑enhanced engineering workflows.
- Passion for AI‑driven software development and continuous learning.
- Confidence mentoring engineers on using AI tools effectively and ethically.
- Enthusiasm for redefining developer productivity through automation and human‑AI collaboration.
Here’s a bit about us:
What Can You Expect When You Join Diligent?
You’ll join a global organisation on a mission to redefine the way organisations are governed. Our people are at the heart of what we do, and we value diverse perspectives, curiosity, and collaboration.
Why join Diligent?
Join a team that values innovation, integrity, and impact. You’ll work alongside talented colleagues who are fast, fearless, and driven to get it right—while building products that truly matter to our customers.
Life at Diligent
We foster a culture of trust, respect, and continuous improvement. We support your physical, financial, and emotional wellbeing, and create an environment where you can bring your whole self to work.
Equal Opportunity Employer
Diligent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, disability, or any other protected characteristic.
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Job Title: Data Analyst
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Number of Positions: 2
Job Location: Pune, Hyderabad, Bangalore
Data Analyst, Python, SQL, Data Remediation
Ready to apply?
Apply to Capco
Data Scientist
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Who you are
We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.
What you'll do
- Collect, process, and analyze large datasets from multiple sources
- Build and deploy machine learning models to solve business problems
- Design and implement A/B tests and statistical analyses
- Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
- Communicate complex data insights in a clear and actionable manner to stakeholders
- Develop dashboards and visualizations to monitor key metrics
- Stay current with the latest trends and technologies in data science and AI
What we're looking for
- Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
- 4+ years of proven experience as a Data Scientist or Data Analyst
- Strong knowledge of Python/R and SQL
- Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
- Experience with big data tools (e.g., Spark, Hadoop)
- Familiarity with data visualization tools
- Strong analytical, problem-solving, and communication skills
While not required, these are a plus:
- Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
- Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)
3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
- Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
- Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
- Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
- Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
- Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
- Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
- Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
- Ensure flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
- Strong proficiency in Terraform is a must-have.
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
What you'll do
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What we're looking for
- 5+ years experience with data/analytics engineering
- 5+ years of experience with Python and SQL (preferably Snowflake)
- 3+ years of experience with dbt (dbt certification a plus)
- Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
- Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
- Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights
- An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
- Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
- Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow
- Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
The Team
The product engineering team drives the realization of practical AI solutions for the contact centre environment. Our existing Studio product stack is built on PHP/Laravel, Python and Vue.js technology deployed in private and public clouds. We leverage the latest cloud AI services such as Azure OpenAI, Google AI APIs, IBM Watson and Amazon Lex.
Our vision is nothing less than to reimagine the experience of connection between end users and the brands which serve them. Our AI agents will offer self-service which delights and accomplishes tasks at super-human speeds, while also blending in live human agents for the many cases when a human touch is needed. Our AI agents will assist the live agents too and help supervisors and managers get the most out of their mix of human and AI labor.
The role of Senior Software Engineer is for the Studio Innovations team, which modernizes existing Studio product. This team keeps our production systems stable, secure, and performing at their best, handling everything from enhancement of the existing studio product to modernize it into Java microservices on the GCP cloud.
This position is based out of one of the offices of our affiliate Acqueon Technologies in India and will adopt the hybrid work arrangements of that location.
Role purpose
The role of a Senior Software Engineer in the R&D AI Automation Team is to design, develop, and maintain the software solution (Studio) with drag-drop flow builder and execution engine that integrates multiple channels like voice, SMS, and chatbot with the Five9 contact centre voice solution. This role would be a key developer role to modernize and re-architect the existing Studio product to use Java microservices on GCP. The Senior engineer's responsibilities include software design and development, testing and documentation across our backend, front-end and interaction management platforms to deliver end-to-end features, work with product owners and designers to expand the feature set and create high-quality user interfaces, take operational responsibility for the performance and quality of services owned by your team, potentially including taking part in an on-call rotation, deep dive into cutting edge technologies and work with the products team to transfer ideas into products.
How you contribute
- Understands various programming languages, frameworks, and development methodologies, which allow you to make informed decisions and solve complex technical challenges.
- Help create blueprints that outline how different components of the system will interact, ensuring scalability, maintainability, and performance
- Writing high-quality, efficient, and maintainable code that serves the purpose of scaling and tenancy management. Should follow coding best practices and contribute to developing software modules, features, and functionalities.
- Contribute to production incident management and debugging complex issues using knowledge of monitoring tools, logging systems, and application performance management like New Relic, Grafana, Prometheus etc.
- Mentor junior engineers, helping them develop their skills and grow as professionals. This fosters a culture of continuous learning and collaboration within the team.
- Ensure that the development stays on track, milestones are met, and the project aligns with business objectives.
- Collaborate with cross-functional teams, including product managers, designers, and quality assurance professionals, to ensure that everyone is aligned on project goals and progress.
Skills, competencies and qualifications
Required:
- 5+ years of designing and developing high traffic distributed and scalable systems on a cloud-based platform (GCP. AWS or Azure) in a SaaS company. Hands-on expertise in cloud-native backend microservices with Java & backend frameworks like Spring Boot.
- Highly proficient in a variety of programming languages, including but not limited to Java, PHP, Javascript, Python or others as required.
- Experience with web development technologies such as HTML, CSS, JavaScript, and modern front-end frameworks like Vue.js or React.
- Strong observability and monitoring exposure by monitoring tools, logging systems, and application performance management like New Relic, Grafana, Prometheus etc.
- Expertise in databases (SQL and NoSQL), and their optimization techniques.
- Expertise in CI/CD, Containerization and Kubernetes.
- Awareness of web security best practices and the ability to implement security measures to protect applications and data.
- Ability to deploy and monitor applications in production along with diagnosing any technical issues.
- A portfolio of past projects showcasing full-stack development skills.
- Ability to work independently and as part of a collaborative team.
- Strong commitment to delivering high-quality code and solutions on time and within scope.
Educational qualifications
- Bachelor's degree in computer science, engineering, or related field
Desirable:
- Experience with PHP.
- Experience with Contact Centre, IVR, Virtual Agents, VoIP and telecommunications service providers is advantageous.
Other requirements
- This position requires the ability to be On Call.
Key relationships
There are no direct reports to this role.
Key stakeholders include:
- Service owners and their teams.
- Technical leadership and senior management, including VPs.
- Engineering teams.
- Network and Telecom teams.
- Customer service teams.
- Compliance and infosec teams.
Reporting Structure
- This position reports to the Senior Engineering Manager
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
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Sr Data Scientist
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About Zuora
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.
The Opportunity
We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.
You’ll:
- Identify high-impact opportunities using AI/ML to solve customer and business problems
- Partner with stakeholders and influence decisions through data-driven insights
- Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
- Collaborate with engineering teams to develop scalable data and ML pipelines
- Take full ownership from idea to production, delivering measurable business outcomes
This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.
About You
- 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
- Curious mind to learn, explore and identify biggest customer opportunities
- Build strong relationships across both technical and business/product teams, earn trust with leadership
- Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
- Willingness to dive deep into the tech stack as well as hands-on coding
- Experience in building end to end ML models, across the ML lifecycle
- Strong communication and leadership presence
- Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
- Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
- Bachelors/Masters in a technical or natural sciences domain from a top university
Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.
The Team
Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.
The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.
Benefits
Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:
- Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
- Medical, dental, and vision insurance
- Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
- Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
- Learning & development stipend to support ongoing growth
- Opportunities to volunteer and give back, including charitable donation matching where available
- Mental wellbeing resources and support
*Benefits may vary by location; details will be shared during the interview process
#ZEOLife at Zuora
ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
- Collaborate deeply across teams and regions
- Learn constantly and iterate often
- Build an inclusive, high-performance culture where people feel inspired, connected, and valued
Our Commitment to an Inclusive Workplace
Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.
Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).
Ready to apply?
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Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About the Role
We are seeking an experienced and data-driven Senior Digital Analyst to join our team. In this role, you will collaborate closely with our lead digital analytics experts, serving as a key contributor to our digital analytics operations with a strong emphasis on Adobe Analytics. You will play a crucial role in supporting our digital user experience by ensuring robust data collection, building intuitive reporting workspaces, and helping to empower cross-functional teams to make data-informed decisions.
Key Responsibilities
- Analytics Strategy & Reporting: Leverage your deep knowledge of Adobe Analytics to help build, maintain, and optimize complex Workspaces that deliver actionable insights to stakeholders across the organization.
- Team Enablement: Support a data-driven culture by assisting in the onboarding, training, and enabling of team members to effectively utilize Adobe Workspace for self-service reporting and analysis.
- Data Quality & QA: Participate in the functional Quality Assurance (QA) of Adobe Analytics tracking implementations to ensure accurate and reliable data collection across digital properties.
- Troubleshooting: Proactively monitor, troubleshoot, and debug data tracking anomalies or reporting issues, working closely with primary subject matter experts, engineering, and marketing operations teams to deploy fixes.
- Data Architecture & Classification: Assist in the management and maintenance of tracking architectures, including dimensions, metrics, segmentation, marketing channels, and classifications.
Required Qualifications
- Expert-Level Adobe Analytics: Deep, hands-on knowledge of how Adobe Analytics for 4 years works under the hood, including custom dimensions (eVars/props), events, advanced segmentation, marketing channel processing rules, and classifications.
- Workspace Mastery: Extensive experience in designing, building, and curating Adobe Analytics Workspaces tailored to different stakeholder needs.
- Mentorship & Training: Proven experience onboarding and enabling cross-functional team members (marketing, product, etc.) to use Adobe Workspace effectively.
- Debugging Expertise: Strong technical ability to troubleshoot and debug tracking issues using browser network tools, developer consoles, and analytics debugging extensions.
- Functional QA: Demonstrated experience executing functional QA for tracking deployments to validate analytics payloads before and after production releases.
Preferred Qualifications (Nice to Have)
- Working knowledge of SQL for data querying and analysis.
- Hands-on experience working with Adobe Launch / Data Collection Tags.
- Experience implementing and managing tags via Google Tag Manager (GTM).
- Working knowledge of Google Analytics 4 (GA4) and its event-based data model.
#LI-Hybrid
#P25155_3434078
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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About EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & product priorities, drive data-backed experiments, deliver value across the consumer lifecycle, and measure performance to optimize future decisions. You will work closely with our product and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses.
This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site, with two days a week required in the office. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.
WHAT YOU'LL DO
- Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn’s customers
- Partner with the Product and Engineering teams to design and run experiments
- Upgrade EarnIn’s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED
- Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn’s core product
- Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues
WHAT WE'RE LOOKING FOR
- 7+ years of experience in product analytics/data science in a B2C role
- Product sense and intuition to drive impact on the business and customer experience
- Experience designing, running, and interpreting experiments.
- Expert skillset in SQL and experience with Python or R
- Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.
- Practical knowledge of machine learning techniques
- Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
- Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
- Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
- Experience in Fintech is a bonus
#LI-Hybrid
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
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Senior Clinical Data Engineer
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Position Summary:
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:
Data Standardization & Mapping - Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.
Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.
Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets
Qualifications:
- Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance.
Other Required:
- Highly effective oral and written communication skills with the ability to communicate effectively with project team members
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
- Proficiency in statistical analysis and data monitoring tools.
- Detail-oriented with strong analytical and problem-solving skills
- Demonstrated experience with integrated risk planning & management
- Ability to mentor junior team members
Preferred:
- CRO experience as a Clinical Data Engineer or Programmer
Skills:
- Strong analytical and problem-solving skills with attention to data quality and integrity.
- Ability to work with large, complex datasets from multiple sources.
- Effective communication skills to collaborate with cross-functional teams.
- Knowledge of data governance, privacy, and security best practices in clinical research.
Competencies
- Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
- Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
- Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
- Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision for Medicine
Senior Clinical Data Engineer
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Position Summary:
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:
Data Standardization & Mapping - Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.
Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.
Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets
Qualifications:
- Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance.
Other Required:
- Highly effective oral and written communication skills with the ability to communicate effectively with project team members
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
- Proficiency in statistical analysis and data monitoring tools.
- Detail-oriented with strong analytical and problem-solving skills
- Demonstrated experience with integrated risk planning & management
- Ability to mentor junior team members
Preferred:
- CRO experience as a Clinical Data Engineer or Programmer
Skills:
- Strong analytical and problem-solving skills with attention to data quality and integrity.
- Ability to work with large, complex datasets from multiple sources.
- Effective communication skills to collaborate with cross-functional teams.
- Knowledge of data governance, privacy, and security best practices in clinical research.
Competencies
- Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
- Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
- Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
- Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision Medicine Group
Senior Software Engineer
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Position Description:
Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.
Qualifications:
- Education: Bachelor’s degree or equivalent desired. Degree in computer science or related fields preferred.
Work Experience:
- 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution.
- 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
- Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
- Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
- Experience working with a team following Agile software development lifecycle practices
- Experience with debugging tools like developer tools, SQL profiler etc.,
- Experience working with various tools, open-source technologies, and cloud services
- Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
- Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
- Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
- Lifecycle management, source control, branching, and/or CI/CD pipelines
- Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures
Skills:
- Ability to drive, contribute, and support the execution of department vision.
- Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
- Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
- Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
- Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
- Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
- Ability to quickly learn and adapt to new business processes and technologies
- In-depth knowledge and hands-on experience with all phases of an SDLC.
- Excellent application documentation skills and ability to create architecture diagrams and roadmaps
- Solid understanding of Agile software development principles.
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
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