Why this role matters: 

The Engineering team at Vonage is a fast growing group of talented engineers. Java Developers here face multiple challenges associated with high performance, distributed systems, and processing large volumes of data in real time. 

Our Engineers work on an exciting mix of both greenfield and existing projects, giving them an opportunity to explore new technologies. 

IF THIS SOUNDS LIKE YOU, CONTINUE READING BELOW……. 

What you will do:

You'll work on end-to-end projects in a full-stack role, aligned with your skills and career goals. As a part of your job, you will be charged with designing, researching, developing, and testing the functional and non-functional areas. 

We design and implement new projects while constantly making sure we support large scales of data and traffic, backward and upward compatibility, and more.

Requirements

• 3+ years of experience in back-end development working with Java, Spring boot and Microservices

Experience with modern web frameworks, primarily Java. Experience with Kafka ,Redis and MongoDB.

• Extensive experience with cloud technologies like AWS

Good to have experience with node.js , Python

• A familiarity with SQL and NoSQL databases
• An understanding of Object Oriented Design and standard design patterns.
• Demonstrated proficiency in designing, developing, and deploying microservices-based applications. Ability to implement scalable, loosely coupled, and maintainable microservices.
• Having experience in implementing CI/CD pipelines for automated testing, building, and deploying applications.
• Enjoy working in a fast-paced environment
• Able to work collaboratively within different teams and with differing levels of seniority
  
  

What you will bring:

• Work closely with cross-functional teams such as Development, Operations, and Product Management to ensure seamless integration of new features and services with a focus on reliability, scalability, and performance
• Experience with back-end technologies
• Good knowledge and understanding of client-side architecture
• Capable of managing time well and working efficiently and independently
• Ability to collaborate with multi-functional teams
• Excellent communication skills

Nice to Have

• Bachelor's or Master's degree in CS or related field/experience
• Experience in third party integration like Microsoft team, Destiny
• Experience in Copilot and Copilot CLI

#LI-CK1

The Team:

As a Lead Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As a Lead Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 9+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

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

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. 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
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. 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).

Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.

We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption.

This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.

You Will

• Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
• Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
• Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
• Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
• Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
• Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
• Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
• Translate qualitative UX signals and customer feedback into measurable data pipelines

You Have

• Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
• 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
• Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
• Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
• Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
• Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
• Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
• Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
• Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
• A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment

Preferred Qualifications

• Experience building AI agent skills, subagents, or MCP server integrations for LLMs
• Hands-on experience using agentic coding platforms (Claude Code, Cursor, Windsurf, etc.) to streamline and automate analytics workflows
• Software engineering experience (Python, JavaScript/TypeScript) with the ability to contribute to application-level instrumentation code
• Experience with event taxonomy design, behavioural analytics pipelines, or product instrumentation (Amplitude, Segment, etc.)
• Familiarity with metric governance frameworks, data catalogues, or data quality tooling
• Prior experience working in a SaaS or enterprise software environment

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Manager AI/ML Ops Engineering, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
• Lead and mentor a team of AI/ML Ops engineers and operations specialists.
• Define and govern solutions for AI/ML operations, ensuring scalability, cost-efficiency, and reliability
• Develop and maintain standardized AI/MLOps workflows, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
• Delegate and harness the aggregate strength of your team.
• Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values.
• Actively helps individuals and the overall team to set priorities and focus on delivery of commitments
• Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security
• Lead and facilitate cross-team interactions, communication, and dependencies
• Ensure all changes are fully tested before being deployed
• Ensure deployment plans are well-considered and include appropriate scalability and load tests
• Work with stakeholders to align AI projects with business strategies.
• Ensure all AI/ML Ops solutions adhere to regulatory compliance, security, and ethical guidelines
• Drive Engineering and Operational excellence initiatives
• Perform other duties as assigned
  
  

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Experience building teams through recruiting and retention
• Experience in Leading and Mentoring a team of ML engineers and operations specialists.
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI & Data Governance Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Develop and enforce AI&Data governance frameworks, including bias detection, explainability, and model lifecycle management
• Ensure adherence to data privacy laws and security regulations, managing risks in AI and data pipelines
• Implement data lineage, metadata, data management, and quality frameworks
• Implementing tools to track data from its source to the final AI output. If a model breaks, you need to know exactly which data point caused the drift
• Define roles for data custodians, users, and AI developers, promoting transparency and fairness.
• Partner with Legal, Data Engineering, and Security teams to embed security and privacy into AI workflows and data products
• Implement governance tools (e.g., Collibra, Informatica) and automate audit procedure
• Oversee data stewardship to ensure data accuracy, integrity, and privacy throughout its lifecycle
• Designing and enforcing the rules for how data is collected, stored, and used—specifically focusing on data privacy (GDPR, CCPA) and AI regulations (like the EU AI Act).
• AI Ethics & Bias Mitigation: Establishing "Responsible AI" standards. This involves auditing models for algorithmic bias, ensuring transparency (Explainable AI), and managing the ethical implications of automated decision-making
• Risk Management through Identification of Shadow AI (unauthorized use of AI tools) and managing the risks associated with third-party LLM providers
  
  

You Have:

• Experience in AI Governance across foundational pillars like AI Organization, Legal, Regulatory Compliance, Ethics, Transparency, Interoperability, Data/AIOps Infrastructure, AI protection and Security
• AI Risk Assessment & Management, Auditability & Transparency, AI Policy Development
• Databricks AI Governance Framework (DAGF), Databricks Security Framework (DASF), MLFlow, Unity Catalog, RAG Governance
• Programming languages like Python and SQL
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• In-depth understanding of AI, GenAI, LLMs, data quality assessment, and metadata management.
• Regulatory Knowledge in GDPR, EU AI Act, and industry-specific regulations (e.g., HIPAA, Financial Services)
• Lineage Tracking with automatic capture of end-to-end data flow (from ETL to BI/AI) to understand dependencies.
• Auditability with centralized logs to allow compliance teams to monitor access and usage of data and AI models
• Knowledge of tools for Model Auditing towards Bias detection,, monitoring, and mitigating bias
• Understanding of data masking, encryption, and SOC2
• Certifications like CIPP (Privacy), CDMP (Data Management), or specialized AI ethics certifications is preferable
• Enterprise SaaS software solutions with high availability and scalability
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

L1 Support Specialist – Customer Support (SaaS)

Location: Bangalore, India (Office-based / Hybrid)

Shift: Willingness to work in rotational shifts including evening/night to support global customers. Transport provided

About the Role:

We are seeking a customer-focused L1 Support Specialist to join our Bangalore-based support team. In this role, you will be the first point of contact for customers, providing timely, high-quality support and resolving common product and usage issues. You will play a critical role in delivering a great customer experience while building strong product and technical fundamentals.

This is an excellent opportunity for someone early in their support career who is eager to learn, grow technical skills, and build a long-term career in SaaS support.

What You’ll Do:

• Provide frontline support to customers via chat, email, zoom, and phone
• Troubleshoot and resolve common product, configuration, and usage issues
• Understand customer problems, reproduce issues when needed, and document findings clearly
• Follow established troubleshooting guides and workflows
• Escalate complex or unresolved issues to L2/L3 teams with complete context
• Educate customers on product features and best practices
• Maintain accurate case notes and update knowledge base articles as needed
• Meet defined SLAs, quality standards, and productivity targets
• Must-Have Skills & Qualifications:
• Technical Skills (Must Have)
• Basic understanding of web-based/SaaS applications
• Familiarity with browsers, operating systems, and basic networking concepts
• Ability to read and understand simple error messages and logs
• Comfortable learning new tools and technologies quickly
• Basic proficiency with spreadsheets and documentation tools
• Experience using or exposure to ticketing systems (Zendesk, Freshdesk, Salesforce, Jira, or similar)

Customer Support Skills (Must Have)

• 1–3 years of experience in customer support, service desk, or technical support
• Strong written and spoken English communication skills
• Ability to explain simple technical concepts clearly
• Customer-first attitude with empathy and patience
• Good problem-solving and analytical thinking
• Ability to multitask and manage multiple tickets
• Willingness to work in a fast-paced, metric-driven environment

Preferred Skills & Qualifications: Technical Skills (Preferred)

• Exposure to workflow, project management, or collaboration tools
• Basic understanding of APIs, integrations, or authentication concepts (SSO, OAuth)
• Familiarity with SQL, JSON, or scripting fundamentals
• Experience supporting B2B SaaS products
• Customer Support Skills (Preferred)
• Experience supporting global customers
• Prior experience with chat and phone support
• Knowledge of ITIL fundamentals
• Interest in growing into L2/L3 technical support or specialist roles

What Success Looks Like:

• Consistently meets SLAs and quality targets
• High CSAT for L1- owned cases
• Accurate triage and effective escalations
• Demonstrated growth in product and technical knowledge
• Positive collaboration with peers and senior support engineers

L1 Support Specialist – Customer Support (SaaS)

Shift: Willingness to work in US rotational shifts including evening/night to support global customers. Transport provided

About the Role:

We are seeking a customer-focused L1 Support Specialist to join our Bangalore-based support team. In this role, you will be the first point of contact for customers, providing timely, high-quality support and resolving common product and usage issues. You will play a critical role in delivering a great customer experience while building strong product and technical fundamentals.

This is an excellent opportunity for someone early in their support career who is eager to learn, grow technical skills, and build a long-term career in SaaS support.

What You’ll Do:

• Provide frontline support to customers via chat, email, zoom, and phone
• Troubleshoot and resolve common product, configuration, and usage issues
• Understand customer problems, reproduce issues when needed, and document findings clearly
• Follow established troubleshooting guides and workflows
• Escalate complex or unresolved issues to L2/L3 teams with complete context
• Educate customers on product features and best practices
• Maintain accurate case notes and update knowledge base articles as needed
• Meet defined SLAs, quality standards, and productivity targets

Technical Skills (Must Have)

• Basic understanding of web-based/SaaS applications
• Familiarity with browsers, operating systems, and basic networking concepts
• Ability to read and understand simple error messages and logs
• Comfortable learning new tools and technologies quickly
• Basic proficiency with spreadsheets and documentation tools
• Experience using or exposure to ticketing systems (Zendesk, Freshdesk, Salesforce, Jira, or similar)

Customer Support Skills (Must Have)

• 1–3 years of experience in customer support, service desk, or technical support
• Strong written and spoken English communication skills
• Ability to explain simple technical concepts clearly
• Customer-first attitude with empathy and patience
• Good problem-solving and analytical thinking
• Ability to multitask and manage multiple tickets
• Willingness to work in a fast-paced, metric-driven environment

Preferred Skills & Qualifications: Technical Skills (Preferred)

• Exposure to workflow, project management, or collaboration tools
• Basic understanding of APIs, integrations, or authentication concepts (SSO, OAuth)
• Familiarity with SQL, JSON, or scripting fundamentals
• Experience supporting B2B SaaS products
• Customer Support Skills (Preferred)
• Experience supporting global customers
• Prior experience with chat and phone support
• Knowledge of ITIL fundamentals
• Interest in growing into L2/L3 technical support or specialist roles

What Success Looks Like:

• Consistently meets SLAs and quality targets
• High CSAT for L1- owned cases
• Accurate triage and effective escalations
• Demonstrated growth in product and technical knowledge
• Positive collaboration with peers and senior support engineers

Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
• Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
• Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
• Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
• Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python, SQL, and potentially Java or Scala
• Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Driving engineering excellence initiatives
• Legally eligible to work in India on an ongoing basis

Smartsheet is seeking a Senior Data Scientist to drive growth and customer retention through Applied AI and advanced analytics. With thousands of subscribing organizations and millions of users, you will have the opportunity to make a meaningful impact by leveraging data science to drive Sales, Customer Success, and Monetization strategies. You are curious, have strong data science and machine learning skills and the ability to communicate key insights effectively. You will work primarily with Go to Market Teams and will be a part of Smartsheet's Data Science & Business Intelligence team.

You Will:

• Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
• Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
• Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention
• Drive the full analytics lifecycle from understanding the business objective, analyzing the data to developing automated reporting and visualizations
• Collaborate with cross-functional teams to integrate data science solutions into business processes
• Effectively present analysis to both technical and non-technical audiences and give data-based recommendations to encourage data-driven decisions 
• Drive a data culture within the Go To Market  teams

You Have:

• Bachelor's degree and 8+ years of experience (or 10+ years of experience)
• Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
• Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
• Strong programming skills in Python or R
• Proficient in SQL and skilled in visualization tools (ex. Tableau)
• Strong track record of forming effective cross-functional partnerships
• Experience using data to meaningfully impact Sales & Customer Success strategy execution
• Experience communicating analysis clearly to others
• Ability to research and learn new technologies, tools, and methodologies
• Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
• As a senior member of the data science team help mentor and help grow members of the team

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior Software Engineers who crave variety and ownership. Whether your expertise is in front-end, back-end, test automation, ops, or infrastructure, you’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Work on all areas of the software from front end, back end, cloud infrastructure and test automation
• Drive high standards within the team for all internal services and open source tooling/libraries we maintain
• Deploy service and infrastructure changes frequently in a lean agile environment using full CI/CD
• Contribute in all aspects of product development: idea generation, customer engagement, planning, design, prototyping, execution, shipping, and operational excellence
• Collaborate with a team of passionate, engaged engineers, and with cross-functional teams that include product managers, UX designers, UX researchers, and more
• Actively mentor more junior engineers, showing how to balance customer delivery while holding high coding, service, and cloud infrastructure standards
• Apply different approaches to problem solving and help validate your ideas and those of your teammates
• Strategically apply and champion AI tools within your team's domain to improve project execution, system design, quality, and debugging, leading adoption of AI best practices and driving measurable productivity gains
• Help define success for yourself, your team, and the features you help to conceive, build, and ship
• Perform other duties as assigned

You Are:

• 7+ years of experience in Backend / Fullstack development
• Proficient with at least one of the following: Golang, Java, Node.js
• Familiar with algorithms, data structures, and coding best practices
• Curious, and always want to get to the bottom of why things work the way they do
• A supportive leader. You want to help people get unstuck, and can easily recognise that teams are more effective when colleagues look for opportunities to help one another.
• A great communicator. You can break a concept down based on your audience, whether they’re technical or non-technical - and your medium, whether it’s verbal, in prose, or in code
• A builder who takes pride in your craft and works toward quality
• An empathic individual who can help translate customer feedback and needs into features that solve problems
• Someone who views bugs, mistakes, and compiler errors as opportunities to learn
• Legally eligible to work in India on an ongoing basis
• Fluency in English is required

You Have:

• Experience with distributed systems at scale
• Understands event-driven architecture’s principles, advantages and limitations, and can apply it appropriately
• Hands-on experience with Kinesis, Kafka, or similar
• Experience with Go or other C-like languages such as Java
• Experience with improving large-scale event processing systems is desirable
• Experience with database log streams e.g. MS-SQL Transaction Logs, MySQL Bin Logs is desirable
• Experience with stream processing frameworks such as Flink, Spark, or other is desirable
• Squad lead or team lead experience is desirable

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

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. 

As a Senior NetSuite Developer on the BTT Fintech team, you will build and maintain on Toast's ERP platform (NetSuite).   You will be responsible for developing on the NetSuite platform, from internal scripting to extending the platform via APIs and maintaining the same.  You will participate in script development, workflows, configuration changes, testing, troubleshooting, process engineering & creating searches and reports. You’ll also work closely with the Middleware, Billing, Accounting, and Finance teams to ensure the highest level of data accuracy and to maintain and enhance the functionality of various financial systems, helping maximize the organization's benefit.

A day in the life (Responsibilities) 

• Develop and maintain Netsuite platform that includes scripts, workflows, custom records, reports, saved searches, managing user access and permissions, workflows, forms, supporting system upgrades and guide users on NetSuite best practices
• Support new enhancements as well as perform hands-on analysis and debugging of system, integration errors and issues, including recommendations of solutions
• Design, implement, and maintain third-party software connections and integrations to NetSuite to support various business needs
• Partner with product managers on identifying solutions and fine-tuning product requirements to build for the future
• Provide robust solutions to current and future problems with performance and scalability at the forefront
• Monitor end-user usage of systems, track performance, and ensure external integrations comply with governance limits
• Manage end-user request queue and ensure responses and resolutions are provided in a timely manner
• Create technical documentation for existing and new customizations, scripts, workflows, and business processes, and keeping all documentation up to date
• Stay up-to-date with products and modules through research/training and engagements with third parties and system providers
• Partner with NetSuite users and stakeholders, assisting with data analysis, business process mapping, reporting needs, continuous improvement initiatives, change management and support for optimal usage
• Support and manage the change management process, including monthly/quarterly certifications for SOX compliance and evidence gathering
• Participate in code reviews and solution proposals with other NetSuite engineers

What you'll need to thrive (Requirements)

• 4+ years of hands-on experience with NetSuite development, admin and configuration across NetSuite modules (L2C, Revenue Recognition, Procurement, GL, AR, FA, AP), REST, Netsuite WebServices,  and third-party integrations in complex environments
• Expert-level knowledge of scripting, roles, permissions, custom objects, and workflows
• In-depth knowledge of SuiteScript 1.0, 2.0, 2.1 / WebServices, Suiteflow and Suitetalk, OneWorld, SQL, user provisioning, defining roles, analytics, and scheduling scripts.
• Experience with system implementations and working with third-party providers
• Experience and knowledge of supply chain components, such as kits, assemblies, bins, and serial numbers
• Strong data analytics, reporting, and database experience (SQL and NetSuite)
• A strong understanding of business processes and requirements
• Experience with SDF and GIT

Bonus ingredients* (a pinch of salt):

• Familiarity with Zuora RevPro/Salesforce Billing or any other revenue recognition/billing platforms
• NetSuite certifications
• Change management ticketing systems (JIRA)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

Role

We are looking for a Staff Software Development Engineer to join our Shared Platform Services team. This is a hybrid role based in Mohali / Hyderabad/ Bangalore/ , reporting to the Sr. Manager Software Engineering. Our Engineering team built the world's largest cloud security platform from the ground up, and we continue to scale. With more than 100 patents and extensive plans for enhancing services, our multitenant architecture has established us as the cloud security leader for over 15 million users worldwide. We invite you to bring your vision and passion to our team of architects and engineers who are enabling global organizations to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Lead the end-to-end design and development of large-scale, complex features for the Zscaler Client Connector Cloud Service, driving key technical initiatives from initial concept to final execution.
• Take full accountability for core product functionality, ensuring high performance, scalability, and seamless integration within the cloud ecosystem.
• Partner closely with Product Management, Development, and Cloud Operations teams to align on product vision and ensure a smooth, synchronized release lifecycle.
• Define robust deployment procedures and implement proactive monitoring and alerting systems to ensure the long-term stability and health of new features.
• Champion product excellence by troubleshooting critical customer issues and delivering high-quality, resilient code within a fast-paced, high-velocity environment.

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who is energized by finding solutions to the hardest challenges, knowing that solving them delivers the biggest impact.
• You are a learner with a growth mindset who actively seeks feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, always seeking a better, more secure, and scalable way to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• 5 years of hands-on experience specifically in developing web applications and microservices.
• Deep proficiency in Enterprise Java, Object-Oriented Analysis/Programming (OOA/OOP), and RESTful API architecture.
• Practical experience with RDBMS, specifically being "fluent" in SQL programming and writing Stored Procedures.
• Security Literacy: A solid understanding of Security, Authentication/Authorization, and encryption best practices.
• Experience in application development using Java, REST APIs, MySQL, and JQuery

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Computer Science, Computer Engineering, or a strictly related discipline.
• Advanced troubleshooting and root cause analysis skills using CPU and memory profilers to identify resource exhaustion issues
• Ability to write complex MySQL queries and generate reports based on business requirements

#LI-Hybrid
#LI-VV3

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.

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.

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.

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.

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.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

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.

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.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue).  Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players..

What You’ll Do 

• Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports
• Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game
• Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis
• Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting
• Design and implement advanced statistical testing for specific problem-solving needs(e.g. A/B testing)

What We’re Looking For 

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis
• 2+ years’ experience using SQL/Python, including complex queries from multiple data sources
• 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system
• Experience creating, operating and analyzing multiple simultaneous A/B tests
• Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis
• Strong communication and presentation skills, including extensive use of chart and table tools
• Passion for speed and large data sets

Bonus Points 

• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
• Advanced degrees a plus
• 2+ years within the mobile gaming domain
• Strong statistical background
• Experience with R, SAS, SPSS, Matlab or other statistical modeling packages
• Had experience of onboarding/early funnel analysis 

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure!

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Key Responsibilities: 

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability. 

• Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing. 

• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency. 

• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime. 

• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team. 

• Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives. 

• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. 

• Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements. 

• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise. 

Senior-Level Expectations: 

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies. 

• Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture. 

• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation. 

• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes. 

Required Skills 

• 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). 
• Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation. 
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to Have 

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP‑203 / GCP Data Engineer certifications

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most,and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies with more than 125 Bn$ of asset under management.AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

The Challenge 

We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform.

Why you should join us?

At our core, we believe in the power of data to drive smarter decisions and transform operations. As an Operational Data Scientist, you'll be at the forefront of this mission—leading initiatives that streamline business processes, accelerate time to insight, and align analytics with strategic goals.

You'll work in an environment that values rigor in experimental design, seamless model integration, and impactful operational analytics. We’re not just looking for technical talent—we want a strategic thinker and a collaborative leader who thrives at the intersection of data, business, and execution.

If you're passionate about solving complex problems, influencing high-stakes decisions, and driving measurable outcomes, this is the opportunity to make your mark. Join us and be part of a team that turns data into action—and action into impact.

What will you be doing?

1. Experiment Design and Interpretation:

• Lead and design complex experiments, addressing challenges with statistical rigor.
• Interpret results and provide actionable insights to drive business decisions.

2. Data Engineering Workflow and Design:

• Partner with stakeholders to ensure data systems and structures are efficient and reliable.
• Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup

3. Data Science Model Integration:

• Collaborate with data science teams to integrate models into workflows.
• Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations.

4. Proactive and Reactive Analysis:

• Conduct exploratory data analysis, simulations, and hypothesis testing.
• Provide strategic support and actionable insights to address business challenges.

5. Health Metrics Design and Implementation:

• Define, implement, and monitor key performance metrics to assess platform performance and user behavior.

6. Leadership and Collaboration:

• Serve as a liaison between cross-functional teams, advocating for data-driven decisions.
• Mentor analysts and promote a culture of analytics within the organization.

7. Product Impact Tracking:

• Design and implement analyses to monitor product impact.
• Ensure alignment of analytics initiatives with broader business objectives.

What are we looking for?

Skills and Attributes:

• 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations.
• 4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments.
• Advanced proficiency in SQL and Python — able to drive deep analyses, RCA investigations, and metric instrumentation independently.
• Hands-on experience with Spark or distributed data processing frameworks for scalable analysis.
• Proven ability to design and deploy control systems or feedback loops in collaboration with engineering teams to tune complex algorithms in production.
• Successfully implemented and maintained Data Science models in production, including monitoring and post-deployment tuning.
• Solid foundation in statistical methods, hypothesis testing, and experimental design, especially as applied to system performance and anomaly detection.
• Comfort working with observability and visualization tools — Tableau, Looker, Power BI, or internal metric dashboards like Grafana or Superset.
• Strong record of cross-functional collaboration with engineering, product, SRE, and ML teams to drive system health and platform improvements.
• Demonstrated ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions.
• Strong strategic and systems thinking mindset — able to reason about interdependent metrics and optimize for system-wide health.

THE ROLE

Everpure (formerly Pure Storage) is a leader in modern data storage, providing enterprise data cloud solutions that power mission‑critical workloads globally. As part of the Digital Transformation organization focused on the G&A domain, you will use your software engineering and integration expertise to design, build, and operate production‑grade integration and automation solutions on top of large‑scale enterprise platforms.

You will work closely with engineers, internal services technology teams, and business stakeholders to identify high‑impact opportunities and deliver robust, secure, and maintainable integration capabilities. This is a high‑visibility role that will shape the future employee experience at Everpure.

WHAT YOU'LL DO

• Design, build, and maintain Workday integrations using Workday Studio, Cloud Connect (CCW/CCB), EIBs, and RaaS.
• Design, build, and maintain integrations across HR, Legal, and other internal service platforms (including Workday, ServiceNow, ERPs, payroll/benefits vendors, finance systems, identity management, and case management tools) leveraging REST/SOAP APIs, OAuth, and JSON.
• Own the integration lifecycle end to end: gather and refine requirements, design technical solutions, develop and deploy integrations, configure appropriate Workday security, and provide ongoing support for inbound and outbound integrations.
• Ensure integration reliability, performance, and data quality by proactively monitoring jobs, troubleshooting failures, resolving data discrepancies, and optimizing integration patterns, reports, and complex calculated fields.
• Maintain strong controls and documentation by creating clear technical specifications, process flows, test scripts, and runbooks, and by supporting SOX, audit, and GDPR‑related evidence requests.
• Partner with cross‑functional stakeholders and stay current on platform capabilities to identify integration‑driven process improvements and to effectively leverage new Workday and other platform features.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands‑on experience designing, building, and supporting integrations for SaaS or other enterprise platforms (functional and/or technical).
• Experience working in and driving an agile delivery process to manage work, iterate quickly, and deliver measurable customer outcomes.
• Technical acumen in SQL, JSON, and secure server‑to‑server API integrations (REST/SOAP, OAuth); scripting or coding experience strongly preferred.
• Proficiency in at least one programming language (e.g., Python, Java, Go) to automate integration workflows, tooling, and quality checks; solid understanding of core software engineering concepts.
• Hands‑on experience with enterprise platforms such as Workday, ServiceNow, Snowflake, Boomi, Salesforce, or similar (Workday experience strongly preferred).
• Demonstrated experience developing robust integrations and APIs that extend platform capabilities and enable end‑to‑end automation across systems.
• Strong analytical, communication, and collaboration skills, with a proactive, ownership‑driven approach to problem solving and production support.

#LI-ONSITE

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

THE ROLE

The Data & Analytics team at Ever Pure is looking for a Senior Manager for designing and building an AI-ready data infrastructure powering conversational AI and chatbot experiences for Finance.
This role will lead the end-to-end build, defining the target state, identifying capability gaps, and delivering a phased roadmap with measurable outcomes. A core focus is enabling a conversational, AI-driven Finance experience, allowing stakeholders to access insights through natural language and copilots.

WHAT YOU'LL DO

Finance Control Tower & Data Foundation

• Lead the design and build of the Finance Control Tower
• Establish a scalable, AI-ready data platform for reporting, analytics, and AI
• Deliver unified, trusted views across Finance (revenue, billing, forecasting)

Data Architecture, Semantic Layer & Observability

• Define data architecture and unified models across systems (Salesforce, SAP, NetSuite, Zuora)
• Build a semantic / metrics layer to standardize business definitions
• Implement data management and observability (quality, lineage, reliability)

Conversational AI & AI Enablement

• Enable natural language access to Finance data via chatbots and copilots
• Build RAG-based architectures using structured and unstructured data
• Develop embeddings and semantic context layers for business-aware insights
• Leverage platforms like Snowflake Cortex (or similar) for search, summarization, and classification

Data Engineering & AI Integration

• Build and scale data pipelines and AI-ready datasets in Snowflake (or similar)
• Integrate enterprise data sources (SFDC, NetSuite, Zuora)
• Enable LLM-driven use cases (forecasting, anomaly detection, variance analysis)
• Ensure outputs are accurate, explainable, and traceable

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 15+ years in data engineering, analytics, or related roles
• Experience building modern data platforms / data products at scale
• Strong expertise in:
• SQL, data modeling, ETL/ELT
• Semantic / metrics layer design
• Data governance, quality, and observability
• Experience with Snowflake (or similar) and Python
• Exposure to:
• Conversational AI / chatbot systems
• RAG, embeddings, vector search
• LLM frameworks and prompt design
• Understanding of Finance data (ARR, MRR, revenue) preferred
• Strong execution, stakeholder management, and communication skills

#LI-ONSITE

• Build, manage, and mentor a high‑performing team of machine learning engineers; foster collaboration, support career growth, and invest in continuous skills development.
• Own the delivery and impact of ML initiatives, working closely with cross‑functional partners to ensure measurable business outcomes.
• Lead the design, development, and optimization of ML‑based systems, including techniques such as deep learning and reinforcement learning.
• Drive a culture of scientific and engineering rigor balanced with real‑world pragmatism, with a strong focus on experimentation, evaluation, and quantifying impact on key engagement and business metrics.
• Partner with data engineering, product management, and marketing teams to take ML solutions from conception through experimentation to reliable, timely production deployment.
• Establish India as a strategic ML hub for EarnIn by leading hiring efforts, onboarding, and close partnership with HR and TA on culture building, team health, and local engagement initiatives.

• MS or Ph.D. in Computer Science, Statistics, or a closely related technical field.
• 7+ years of industry experience, including 3+ years of people management experience.
• Strong depth across core machine learning algorithms and applied ML techniques.
• Proven experience building, deploying, and operating production ML systems at scale.
• Advanced proficiency in Python and SQL, with a strong software engineering foundation.
• Excellent written and verbal communication skills, with the ability to influence and collaborate across technical and non‑technical stakeholders.

#LI-Hybrid 

The Team:

As an Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As an Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 7+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

About the Role

We're looking for a Senior Software Engineer to join our Core Wireless team, responsible for the design, development, deployment and maintenance of all mobile network infrastructure and associated applications. You'll work at the intersection of software engineering and mobile telecoms, with a particular focus on IoT.

What You'll Do

• Design, build and maintain APIs, services, and systems across Telnyx's Wireless stack
• Debug production issues across services and multiple levels of the stack
• Troubleshoot connectivity issues across roaming partners globally
• Collaborate with engineers across the company to build new features
• Improve engineering standards, tooling, and processes

What We're Looking For

• Strong experience in one or more of: Go, Elixir, or Erlang; C++ in a telecoms context is a plus
• Familiarity with 3GPP specifications and mobile core protocols (e.g. AMF, UPF, SMF or equivalent 4G/5G elements)
• Experience with IoT platforms and mobile network systems and protocols
• Understanding of relational databases and SQL
• Practical skills in automated testing and a passion for robustness
• Strong sense of ownership, innate curiosity, and willingness to learn

Bonus Points

• Experience with IoT/M2M solution design and implementation
• Familiarity with multi-vendor IPX connectivity
• Message queues: RabbitMQ or Kafka
• PostgreSQL or exotic databases/key-value stores (e.g. ETS)
• Docker, Kubernetes, Consul, Jenkins, Prometheus
• Basics of web front-end

#LI-VIETNAM
#LI-KG1
#LI-INDIA

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)
• 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

Senior Database Solution Architect - Oracle (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)
• 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 at least two of the following areas:
• Oracle Stack: Oracle RAC with ASM, Pluggable databases, Data Guard, Golden Gate, Exadata and ExaCC/CS
• Cloud DB Architectures: Design and management of IaaS/PaaS databases within major cloud ecosystems (OCI, AWS, Azure, or GCP).
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: SQL Server, IBM DB2, Informix, PostgreSQL.
• 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

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats.

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

Location: Bangalore

Shift: EST (5:30 P.M IST- 2:30 A.M IST)

What we’re looking for:

 You are an aspiring Business Intelligence, Data & Analytics Professional with 6+ years of experience in supporting the business in delivering high quality strategic and tactical analysis. You will have experience in analyzing complex business problems using data and provide actionable insights to our customer facing teams. You will have experience in identifying and interpreting trends and patterns in datasets to attribute key business drivers. You will have strong knowledge of SQL, CRM (Salesforce), Clari, Excel, Business Intelligence systems such as Tableau and Power BI. If you want to be part of a growing business, have a strong interest in learning and implementing innovative solutions to business challenges, and are passionate about winning, get in touch with us to explore the exciting opportunity at Rubrik. 

Position Overview:

As a Business Analyst you will be given the opportunity to tackle challenges impacting the growth of Rubrik’s growing subscription renewals business. This team is responsible for providing forecast clarity, scoring renewal growth and retention likelihood, customer analytics, and developing retention action plans working closely and partnering with Sales & Renewal Ops.

Key Responsibilities:

• Perform weekly, monthly and quarterly opportunity pipeline analysis, data validation and identify gaps and actions required
• Identify process automation and improvement opportunities and work with cross-functional teams to drive these initiatives
• Communicate regularly on business/team performance, making recommendations based on analysis of key performance areas
• Act on behalf of the leadership (e.g. drive global churn forecasting, identify direct and channel renewal improvements, forecasting mechanics evolution to incorporate customer health insights)
• Support the development and presentation of the business outcomes to stakeholders with a view to assisting them to drive performance in their areas (e.g. churn/upsell attribution etc)
• Provide critical business insights to Customer Success and Sales leadership based on business acumen and data analysis, be able to identify issues, recommend action plans and execute.
• Drive culture of continuous improvement on performance, process, automation, and data accuracy
• Generate regular and ad-hoc business analysis for Renewals and Sales Leadership to monitor performance across a range of key business drivers and Renewals Team performance, including direct and partner renewals
• Compare business performance against defined KPIs to identify trends and share key learnings and drive new operational programs
• Analyze data to determine if the customer is “At-Risk” and ensure early engagement.
• Analyze customer data to reduce the churn and identify the root cause of churn

Basic Qualifications

• 6+ years overall professional experience.
• A Bachelor's Degree focused in an analytically rigorous field of study is preferred, a MBA is a huge plus.
• Self-starter with outstanding problem-solving skills
• Proven track record in juggling through multiple projects and deadlines yet driving them to completion
• Have strong business acumen, excellent collaboration and stellar communication.
• Experience with Data Analytics and Modelling and ability to work with a degree of independence on data analysis.
• Excellent time management skills and ability to manage multiple priorities.
• Knowledge of Rubrik products and services preferable.

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. Rubrik has raised over $553 million in venture funding, most recently at a valuation of $3.3 billion. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup. 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. 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.

#LI-DR2

Role Overview

We’re looking for a Staff Software Engineer to serve as a technical pillar across our engineering teams. This role is ideal for a highly experienced backend engineer who thrives on solving hard problems, mentoring others, and guiding architecture across multiple domains. You’ll be a multiplier, operating independently, shaping technical direction, and partnering with engineers 
and product teams to raise the bar across the organization. 

You’ll work across squads to improve system performance, reliability, and scalability, while owning high-impact projects that support our Advertising platform. Whether it’s unblocking performance bottlenecks, leading design for new backend services, or reducing tech debt, your contributions will have a far-reaching impact. 

This is a high-impact role where you will not only write mission-critical code but also provide the AI-driven roadmap to help our team automate optimizations and anomaly detection within our data pipelines. 

Core Responsibilities 

• Own and lead design for major backend systems across Ads, focusing on performance, scalability, and reliability. 

• Serve as the subject matter expert for Python & Django. You will optimize application performance, focusing on concurrency, memory management, and efficient integration with our data layer. 

• Architect and optimize large scale data workflows for Ads. You will be expected to tune complex queries in Hive, Flink, or Trino to reduce latency and cost while maintaining data integrity. 

• Actively profile our stack to identify bottlenecks. You should be comfortable moving between high-level architectural planning and low-level query optimization. 

• Guide the engineering team in leveraging AI and Machine Learning for predictive analytics, automated QA of data streams, and enhancing our internal decision-making engines.  

• Collaborate with multiple teams to address cross team concerns (e.g., shared libraries, infra patterns, tech debt, security) 

• Tackle escalated production issues / incidents by providing quick remediations 

• Raise the engineering bar through elite code review, technical RFCs and hands on guidance for senior and mid-level engineers. 

• Work with EMs and PMs to shape technical roadmap and support long-term platform health. 
   

Technical Requirements 

• 10+ years in backend engineering with a proven track record of scaling systems in Ad-Tech, Fintech or High-Scale SaaS. 

• Deep expertise in building high concurrency, asynchronous services. You know how to scale Django beyond standard patterns. 

• Strong experience with distributed systems (e.g. Flink, Spark, Hive or SingleStore). You are an expert at optimizing distributed joins and partitioned datasets. 

• Advanced SQL skills; you can dissect an execution plan and optimize complex analytical queries for both performance and cloud cost. 

• Experience managing “Sync vs Async” data flows and ensuring consistency across disparate data stores 

• Experience with containerization technologies such as Docker and Kubernetes. 

• Familiarity with CI/CD pipelines and modern DevOps practices. 

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders is a must. 

• Proven leadership experience, including mentoring engineers and leading technical initiatives. 
   

Ideal Candidate 

• The Pragmatic Architect: You understand the trade-offs between “perfect” code and “performant” code in a high throughput environment. 

• The Data Integrity Advocate: You care deeply about how data is captured at the source just as much as how it is processed at scale. 

• The Force Multiplier: You don’t just solve problems; you build systems and processes that prevent them from recurring. 

• The Mentor: You thrive on helping others grow and can explain complex architectural concepts to both engineers and stakeholders. 

Scopely is looking for a Senior Product Manager, Roadmap to join the Looney Tunes team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

This role is responsible for owning an important product domain and improving player experience and commercial performance. Key Responsibilities include:

• Define and drive quarterly and annual feature roadmap strategy aligned with business goals
• Lead end-to-end product feature development, from opportunity identification through launch and post-launch optimization, with accountability for player engagement, retention, and monetization KPIs
• Translate high-level opportunities and player insights into clear, strategically aligned feature concepts and execution plans
• Create clear, structured, and outcome-driven product specifications that align design, engineering, and production teams
• Drive feature iteration through structured analysis, experimentation, and player feedback loops
• Partner cross-functionally with Game Design, UX/UI, Engineering, Production, and Analytics to deliver high-impact features that elevate player experience and business outcomes
• Identify and prioritize optimization opportunities across the player lifecycle, including acquisition, engagement, retention, and monetization
• Define measurable success criteria upfront, lead structured experimentation, and independently execute data analysis - including writing SQL queries, conducting exploratory deep-dives, and evaluating A/B test results to validate impact and guide iteration
• Stay informed on market trends, competitor benchmarks, and F2P design innovation to support continued product excellence
• Work with autonomy in a dynamic environment, making thoughtful product decisions in ambiguous situations
• Leverage AI to enhance product decision-making, personalization, segmentation, and feature efficiency, identifying opportunities where AI can unlock meaningful player and business value

What We’re Looking For

• 5+ years of relevant product management experience, with demonstrated experience managing important product areas in F2P mobile games or consumer digital products
• Experience delivering measurable improvements across engagement, retention, and monetization KPIs
• Strong commercial acumen with deep understanding of F2P economies, player lifecycle management, segmentation, LTV, and payer dynamics
• Strong data fluency with hands-on SQL proficiency, able to independently design queries, conduct exploratory analysis, and validate hypotheses, while collaborating effectively with Analytics teams
• Strong modeling skills in Excel / Google Sheets, with experience building forecasts, impact estimates, and structured decision frameworks
• Experience leading complex, cross-functional initiatives with multiple stakeholders and competing priorities.
• Ability to operate effectively at both strategic and tactical levels, shaping long-term direction while diving deep into execution details
• Curiosity about player behavior and F2P mechanics, with the ability to navigate complex player ecosystems across lifecycle stages and spend segments
• Strong written and verbal communication skills, with the ability to articulate the “why” behind decisions and influence cross-functional stakeholders
• Structured thinker with strong prioritization skills, clear impact estimation, and sound tradeoff judgment
• Action-oriented, with a focus on experimentation, learning, and measurable results
• Demonstrates initiative, ownership, and accountability in driving results

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Senior DevOps Engineer

The Challenge

We are hiring a Senior DevOps Engineer to join the global Cloud team. You will support production customers by monitoring and maintaining a highly distributed, scalable and resilient global cloud infrastructure.

Your Mission

To work with distributed teams in order to provide support to customers through automation, deployment, incident response related tasks.

• You'll be working with the monitoring, tuning, maintenance, and support of Linux, Azure SQL, Kubernetes, Kafka, MongoDB, cloud infrastructure/services, etc.

• You will define, measure, and meet key operational metrics including performance, incidents, capacity, and availability

• You will run incident resolution within the environment, facilitating teamwork with other departments as required

• You'll build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies

• You will automate the deployment of new software to cloud environment in coordination with DevOps engineers

You Are

Highly organized and meticulous with excellent process management skills, capable of leading multiple tasks with shifting priorities while functioning in a rapidly changing environment.

Your Experience Includes

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering or related field

• 4+ years of professional experience

• 2 or more years working with the Microsoft Azure platform (preferred) or another public cloud platform

• 1 or more years of experience in automation tools like Terraform, Linux scripting, Cloud Orchestration tools like Ansible or Chef, etc.

• Ability to write scripts in one major scripting language such as Bash, PowerShell &/or Python

• Ability to plan, schedule and monitor work activities in order to meet time and quality targets

• Understanding of Container and DevOps technologies

Extra Awesome

• Previous DevOps experience

• Experience working with in an agile B2B enterprise environment

• Experience working with distributed teams across geos

About the Role

As a full stack engineer, you'll work across the stack and be responsible for the entire customer journey from where we store data to our server application logic, to our front end UI. You’ll work closely with our other engineers to build and ship key features. We are detail oriented and value clean, modular, and high-performing code. You'll help architect and build our internal standards and frameworks. We love engineering-wide consistency in code and have huge ambitions on both client and server side.

Duties and Responsibilities:

• Collaborate with other engineers and designers to develop and ship features
• Design, build, and maintain our API’s
• Write efficient, modular, and reusable libraries and abstractions
• Design and build internal tooling to improve development efficiency
• Find and solve performance issues
• Participate in code reviews
• Communicate best practices to the team
• Mentor junior engineers

Qualifications and Skills:

• 4+ years of full time engineering experience
• Expert in Javascript
• Full stack engineering experience in Javascript/NodeJS, Python/Django, 
• Expert in SQL, database design, and familiarity with PostgreSQL
• Experience with front and back end architectural patterns of large, high-scale web applications
• Ability to design clean APIs and understanding of performance issues
• Experienced with software engineering best practices – design patterns, code reviews, unit and integration testing, etc.
• Ability to communicate technical specifications both verbal and written
• Command over front-end web technologies such as HTML, CSS, React
• Solid CS fundamentals – including data structures and algorithms
• Understanding of security, common attacks and defenses
• Knowledge of build systems configurations and setup - such as Webpack
• Experience with infrastructure, distributed systems, and deploying apps into a high-scale environment

#LI-KP1

#LI-Hybrid

Role 

We’re looking for a Senior Technical Success Manager (Sr. TSM) to join our team. This is a hybrid role based in Bangalore, reporting to the Manager, Technical Success Management within the Customer Success department. You will lead the resolution of complex technical service and infrastructure issues for our most strategic customers. By serving as a high-accountability advisor and technical liaison, you will ensure seamless product adoption, provide expert consulting on security implementations, and bridge the gap between customer needs and product evolution.

What you’ll do (Role Expectations)

• Manage premium customer support relationships across multiple channels while maintaining elite standards for responsiveness and service quality
• Partner with Field Sales to drive successful deployments and serve as a trusted advisor for web and email security implementation projects
• Act as the dedicated liaison for gold and platinum customers, managing escalations and providing critical cloud update notifications to ensure optimal availability
• Deliver high-impact on-site and virtual product training to empower customers with the latest Zscaler technologies
• Monitor customer environments to provide proactive recommendations and translate field insights into product requirements for the Product Management team

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Extensive experience in account management with a focus on pre- and post-sales support for web and email security solutions
• Bachelor’s degree in computer science or engineering, or equivalent professional industry certifications
• Expert-level knowledge of enterprise networks, infrastructure, and advanced protocol workflows
• Mastery of network troubleshooting tools including Wireshark, WinMTR, and Fiddler
• Demonstrated ability to communicate complex technical solutions clearly to diverse stakeholders and prospects

What Will Make You Stand Out (Preferred Qualifications)

• Advanced knowledge of core protocols such as SSL/TLS, ICMP, and FTP with deep experience in packet capture analysis
• Expertise in L2/L3 devices, advanced security concepts like IPS/IDS/DLP, and authentication protocols such as SAML and LDAP
• Proficiency in shell scripting and SQL combined with a strong understanding of Cisco or Juniper routing and switching architectures

#LI-Hybrid #LI-SU1