Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai (Hybrid)

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for a Software Architect  to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.

The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.

On a day to day basis, you will: 

• Maintain architectural coherence across a complex and wide surface area. 
• Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
• Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
• Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
• Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points. 
• Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents. 
• Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
• Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups

QUALIFICATIONS 

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience 
• 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level 
• Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code 
• Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug 
• Experience operating multi-TB storage systems with active OLTP traffic 
• Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift) 
• Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth 
• Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration 
• Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
• Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces 
• Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus 
• Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus 

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build 

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

 Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview 

The Taiwan Data, Analytics & AI team is the engine driving Coupang’s rapid expansion in the Taiwan market. Our mission is to transform massive datasets into actionable intelligence and automated systems that power business decisions. As we scale, we are transitioning from foundational growth to a sophisticated enterprise AI ecosystem. We are building the next generation of data services that ensure every stakeholder across the Taiwan organization has access to high-integrity, automated, and intelligent insights.

As a Staff Machine Learning Engineer, you will be a technical leader responsible for the architecture and automation of our regional data intelligence layer. Your primary focus will be bridging the gap between raw data and organizational knowledge. You will lead the automation of our Knowledge Base, govern the integrity of our core metrics, and scale our analytics services to support the entire Taiwan organization.

This is a high-impact role where technology meet business, and you will design systems that not only provide data but ensure that the "truth" behind the data is refreshed, accurate, and easily accessible through AI-driven interfaces and help us become true AI first Analytics Organisation.

What You Will Do

• Automated Knowledge Engineering: Design and implement end-to-end ML pipelines to automate the creation and maintenance of a centralized Knowledge Base, utilizing LLMs and RAG (Retrieval-Augmented Generation) to synthesize complex business logic.

• Metric Integrity & Governance: Develop systemic checks and automated validation frameworks to ensure the integrity of business metrics. You will be the architect of a "Single Source of Truth," ensuring definitions remain consistent across all AI and reporting services.

• AI-Driven Pipeline Automation: Architect "Self-Healing" data pipelines using AI tools to automate schema mapping, error detection, and recovery. Implement LLM-powered agents to generate, optimize, and document ETL code, reducing manual engineering overhead.

• Scalable AI Services: Architect and scale existing Data and Analytics services to handle the increasing demands of the entire Taiwan organization, ensuring high availability and low-latency access to insights.

• Feedback & Refresh Loops: Build automated feedback mechanisms to identify "stale" content or drifting metric definitions. You will design the workflows that ensure both new and existing knowledge content is refreshed regularly based on user behavior and data shifts.

• Systemic Optimization: Drive innovation in semantic retrieval and query understanding to allow non-technical stakeholders to interact with complex data layers using natural language.

• Enablement & Training: Act as a force multiplier by enabling and training various reporting functions (Finance, Ops, Marketing). You will create the tools and frameworks that allow these teams to self-serve with high confidence.

• Technical Mentorship: Lead by example in code quality, system design, and experimentation. Mentor senior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.

Basic Qualifications

•  Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.

• 8+ years of professional experience in software engineering and applied machine learning (with at least 2 years in a Staff or Lead capacity).

• Proficiency in Python or Java, with deep experience building production-grade ML systems and scalable data pipelines.

• Strong experience with SQL and big data technologies (e.g., Spark, Presto/Trino, Airflow).

Preferred Qualifications

• Advanced Degree: Master’s or PhD in a relevant technical field.

• AI/LLM Expertise: Proven track record of deploying Large Language Models (LLMs), vector databases, and embedding-based retrieval systems in a production environment.

• Automated Management: Experience with AI-powered data management tools (e.g., automated data profiling, AI-driven data catalogs, or LLM-assisted SQL generation).

• Enterprise Scaling: Experience transitioning data organizations from "growth-phase" scripts to "enterprise-phase" robust microservices.

• Cloud Proficiency: Hands-on experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).

• MLOps Mastery: Experience with ML lifecycle tools like MLflow, Kubeflow, or Weights & Biases to manage model lineage and data drift.

• Communication: Exceptional ability to communicate technical roadmaps to non-technical business leaders and influence cross-functional stakeholders in a fast-paced, global environment.

Type of work model 

• Hybrid 

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview 

The Taiwan Data, Analytics & AI team is the engine driving Coupang’s rapid expansion in the Taiwan market. Our mission is to transform massive datasets into actionable intelligence and automated systems that power business decisions. As we scale, we are transitioning from foundational growth to a sophisticated enterprise AI ecosystem. We are building the next generation of data services that ensure every stakeholder across the Taiwan organization has access to high-integrity, automated, and intelligent insights.

As a Staff Machine Learning Engineer, you will be a technical leader responsible for the architecture and automation of our regional data intelligence layer. Your primary focus will be bridging the gap between raw data and organizational knowledge. You will lead the automation of our Knowledge Base, govern the integrity of our core metrics, and scale our analytics services to support the entire Taiwan organization.

This is a high-impact role where technology meet business, and you will design systems that not only provide data but ensure that the "truth" behind the data is refreshed, accurate, and easily accessible through AI-driven interfaces and help us become true AI first Analytics Organisation.

What You Will Do

• Automated Knowledge Engineering: Design and implement end-to-end ML pipelines to automate the creation and maintenance of a centralized Knowledge Base, utilizing LLMs and RAG (Retrieval-Augmented Generation) to synthesize complex business logic.

• Metric Integrity & Governance: Develop systemic checks and automated validation frameworks to ensure the integrity of business metrics. You will be the architect of a "Single Source of Truth," ensuring definitions remain consistent across all AI and reporting services.

• AI-Driven Pipeline Automation: Architect "Self-Healing" data pipelines using AI tools to automate schema mapping, error detection, and recovery. Implement LLM-powered agents to generate, optimize, and document ETL code, reducing manual engineering overhead.

• Scalable AI Services: Architect and scale existing Data and Analytics services to handle the increasing demands of the entire Taiwan organization, ensuring high availability and low-latency access to insights.

• Feedback & Refresh Loops: Build automated feedback mechanisms to identify "stale" content or drifting metric definitions. You will design the workflows that ensure both new and existing knowledge content is refreshed regularly based on user behavior and data shifts.

• Systemic Optimization: Drive innovation in semantic retrieval and query understanding to allow non-technical stakeholders to interact with complex data layers using natural language.

• Enablement & Training: Act as a force multiplier by enabling and training various reporting functions (Finance, Ops, Marketing). You will create the tools and frameworks that allow these teams to self-serve with high confidence.

• Technical Mentorship: Lead by example in code quality, system design, and experimentation. Mentor senior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.

Basic Qualifications

•  Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.

• 8+ years of professional experience in software engineering and applied machine learning (with at least 2 years in a Staff or Lead capacity).

• Proficiency in Python or Java, with deep experience building production-grade ML systems and scalable data pipelines.

• Strong experience with SQL and big data technologies (e.g., Spark, Presto/Trino, Airflow).

Preferred Qualifications

• Advanced Degree: Master’s or PhD in a relevant technical field.

• AI/LLM Expertise: Proven track record of deploying Large Language Models (LLMs), vector databases, and embedding-based retrieval systems in a production environment.

• Automated Management: Experience with AI-powered data management tools (e.g., automated data profiling, AI-driven data catalogs, or LLM-assisted SQL generation).

• Enterprise Scaling: Experience transitioning data organizations from "growth-phase" scripts to "enterprise-phase" robust microservices.

• Cloud Proficiency: Hands-on experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).

• MLOps Mastery: Experience with ML lifecycle tools like MLflow, Kubeflow, or Weights & Biases to manage model lineage and data drift.

• Communication: Exceptional ability to communicate technical roadmaps to non-technical business leaders and influence cross-functional stakeholders in a fast-paced, global environment.

Type of work model 

• Hybrid 

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What you’ll be doing 

• Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
• Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What you’ll bring to the role

• 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
• 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
• 5+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!    

• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
• Experience with version control systems (e.g., Git) and the Pull Request process.
• Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
• Paywall, subscription or authentication based products

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#Hybrid_Bengaluru

#LI_Linkedin P24589_3405679

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What you’ll be doing 

• Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
• Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What you’ll bring to the role

• 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
• 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
• 5+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!    

• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
• Experience with version control systems (e.g., Git) and the Pull Request process.
• Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
• Paywall, subscription or authentication based products

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#Hybrid_Bengaluru

#LI_Linkedin P24588_3405678

The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

#LI-Hybrid

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Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
• 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
• Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
• 3NF — operational and transactional layer design
• Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
• Data Vault 2.0 — hubs, links, satellites, business keys
• Data mesh & domain-oriented data product design
• Architecture Decision Records (ADRs) and C4 modelling
• Data contract design — schema, SLAs, versioning
• Data catalogue & metadata management design
• Data quality framework design and governance policy
• BigQuery — advanced design, partitioning, clustering, BI Engine
• Dataflow (Apache Beam) — streaming and batch architecture
• Cloud Composer / Airflow — orchestration design
• Pub/Sub — event-driven data product patterns
• Dataplex — data cataloguing, lineage, data quality
• Vertex AI Pipelines — ML feature pipeline integration
• Cloud Storage — data lake zone design (raw/curated/serving)
• Terraform — IaC standards and landing zone design
• Databricks Lakehouse — medallion architecture, zone design
• Delta Lake — ACID, time travel, schema evolution, Z-ordering
• Unity Catalog — governance, lineage, access control, data products
• Databricks Workflows and Asset Bundles — lifecycle automation
• PySpark — advanced optimization, broadcast, AQE, dynamic pruning
• dbt on Databricks — transformation layer standards
• Databricks on GCP — cluster policy, instance pools, cost governance
• MLflow — model registry integration with data product layer
• Unity Catalog — fine-grained access, row/column security
• Dataplex — data mesh governance on GCP
• Data lineage — column-level lineage design and tooling
• GDPR, data residency, and privacy-by-design principles
• Data stewardship operating models
• Metadata standards — Dublin Core, OpenLineage, OpenMetadata
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
• TOGAF, Zachman, or equivalent enterprise architecture framework certification.

Nice to have qualifications  

• Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
• Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
• Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
• Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
• Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
• Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
• OpenMetadata or Collibra — enterprise-grade data catalogue implementation
• Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
• Google Cloud Professional Machine Learning Engineer
• CDMP (Certified Data Management Professional) — DAMA certification
• HashiCorp Terraform Associate

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Fulltime position based in Bengaluru. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Overview

As a Staff Engineer at Five9, you will work on core backend services that power our global cloud contact center platform. You will tackle complex engineering challenges at scale, remain deeply involved in coding, and contribute to a culture that values craftsmanship, innovation, and technical excellence—while mentoring others and shaping best practices.

What You’ll Do

• Design, develop, and optimize high-performance microservices using Java and Spring Boot
• Write clean, maintainable, and testable code with a strong focus on scalability, reliability, and performance
• Take ownership of services end-to-end — from design and implementation to deployment, monitoring, and ongoing operations
• Collaborate with architects and senior engineers on system design, technical reviews, and problem-solving
• Ensure services meet SLAs, performance metrics, and security standards
• Contribute to improving CI/CD pipelines, automation, and observability to reduce manual effort and improve service reliability
• Provide technical guidance and mentorship to mid-level and junior engineers through code reviews, pairing, and knowledge sharing
• Stay current with evolving technologies and help evaluate and adopt tools that strengthen our platform

What You Bring

• Strong debugging and problem-solving skills, with the ability to dive deep into complex production issues
• 7–10 years of development experience in Java microservices
• Deep expertise in Java, with strong experience in Spring / Spring Boot
• Proven ability to build and operate distributed, cloud-native microservices at scale
• Strong experience with GCP services (GKE, Pub/Sub, BigQuery, CockroachDB, Redis)
• Experience with Kubernetes, containerization, and CI/CD pipelines (GitLab or similar)
• Practical knowledge of SQL and NoSQL databases and caching strategies
• Solid understanding of system design, data structures, algorithms, and performance optimization
• Understanding of product architecture
• Comfortable leveraging agentic coding tools and AI-assisted development environments to enhance productivity and code quality

Nice to Have

• Experience in latency-sensitive, high-throughput systems
• Familiarity with Looker, analytics pipelines, and large-scale reporting systems
• Familiarity with Agile methodologies, JIRA, Confluence, and end-to-end testing practices
• Exposure to frontend technologies such as React and TypeScript

Technology & Tools

• Languages & Frameworks: Java, Spring, Spring Boot
• Cloud & Infrastructure: GCP (GKE, Pub/Sub, BigQuery, CockroachDB, Redis), Kubernetes
• DevOps & CI/CD: Git, GitLab CI/CD
• Collaboration & Documentation: Swagger, JIRA, Confluence

Why this role matters:

We're looking for a skilled Full Stack Engineer to join our expanding Jumper AI / Conversational Commerce platform team. This role requires robust experience in both frontend development (Vue.js / React.js) and backend development (Golang, Gin/Echo/Fiber). You will be instrumental in the design, development, and maintenance of scalable, secure, and high-performing applications that power our conversational commerce platform. This platform is used globally by enterprises to provide personalized, omnichannel experiences to their customers.

This position offers the chance to work across the entire technology stack, from crafting intuitive and dynamic user interfaces to building APIs and backend services deployed on Google Cloud Platform. You will collaborate closely with cross-functional teams, including design, product, data, and DevOps, to deliver impactful, customer-centric solutions.

Your key responsibilities:

• Design and build interactive, responsive frontend applications using Vue.js / React.js, and modern JavaScript.
• Translate UI/UX designs from Figma into high-quality, production-ready frontend code.
• Architect, build, and maintain backend services and REST APIs using Python (FastAPI, Flask, Django).
• Integrate frontend applications with backend APIs and third-party services to deliver seamless user experiences.
• Design and optimize data models, caching strategies, and database queries for performance and scalability.
• Deploy, scale, and operate applications on Google Cloud Platform with a focus on reliability and observability.
• Collaborate closely with Product, Design, QA, and Engineering teams; conduct code reviews and mentor junior engineers.

What you'll bring

• 5 plus years of hands-on full stack development experience in production environments.
• Strong proficiency in Vue.js or React.js, modern JavaScript (ES6+), HTML, and CSS.
• Solid backend engineering experience with Golang,  Gin / Echo / Fiber.
• Experience working with SQL and NoSQL databases such as PostgreSQL, BigQuery, Redis, or Datastore.
• Hands-on experience deploying and operating applications on Google Cloud Platform.
• Understanding of secure coding practices, authentication, and authorization using OAuth2 / JWT.
• Strong collaboration skills and experience working in Agile teams using Jira and Confluence.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

Experience we consider a plus:

• Experience building SaaS, e-commerce, or conversational AI platforms.
• Exposure to CI/CD pipelines using GitHub Actions or GCP Cloud Build.
• Experience optimizing frontend performance, accessibility, and responsiveness across devices.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Stripe's Finance & Strategy team is hiring a Finance Analytics Analyst. This role requires a finance professional with strong FP&A capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and P&L reporting for assigned business areas while using data and technology to deliver high-quality financial insights. This role reports into the Finance & Strategy Center of Excellence.

Responsibilities

Financial Planning & Analysis

• Own P&L reporting and analysis for assigned product lines, business units, or functional cost centers
• Lead monthly and quarterly planning, forecasting, and close processes
• Perform variance analysis (actuals vs. budget, actuals vs. forecast, period-over-period) with clear identification of root causes and business drivers
• Track and reconcile accruals vs. actuals; ensure accuracy and completeness in financial reporting
• Support annual budgeting, long-range planning, and scenario modeling
• Build and maintain financial models for business case analysis, investment decisions, and resource allocation
• Partner with business teams to provide financial perspective on operational and strategic decisions

Data Analytics & Reporting

• Write SQL queries to extract, validate, and analyze data from financial systems and data warehouses
• Build and maintain financial dashboards and reports using Power BI, Tableau, or equivalent BI tools
• Develop data models that integrate financial and operational data for planning, forecasting, and performance reporting
• Automate and standardize recurring reports to reduce manual effort and improve consistency
• Navigate complex, high-volume data environments (trillions of transactions across products and geographies) to extract relevant financial signals
• Ensure data accuracy and consistency across all financial outputs

AI-Augmented Working

• Use AI tools (Claude, Cursor, Claude Code, and similar platforms) as part of workflow for analysis, coding, report building, dashboard prototyping, and problem-solving
• Apply an AI-first approach to new tasks, evaluate where AI can accelerate delivery before defaulting to manual methods
• Contribute to team-wide AI adoption by sharing effective workflows, prompts, and use cases

Business Insights & Communication

• Prepare executive-level reports on financial performance, trends, and key metrics with clear conclusions and recommendations
• Conduct ad-hoc analysis to support strategic initiatives and leadership decision-making
• Translate data and financial analysis into actionable business recommendations for finance and non-finance stakeholders
• Track and interpret key financial and operational metrics including revenue, processing volume, take rate, costs, margins, and unit economics

Requirements

Financial & Business Skills

• 5–7+ years of experience in FP&A, financial analysis, strategic finance, or corporate finance roles
• Strong understanding of financial statements (P&L, balance sheet, cash flow) and the ability to connect them into a complete financial picture
• Demonstrated experience in budgeting, forecasting, variance analysis, and financial planning cycles
• Working knowledge of accrual accounting, revenue recognition, cost allocation, and reconciliation processes
• Fluency in financial metrics: revenue, gross margin, EBITDA, operating leverage, unit economics

Technical & Data Skills

• Must Have: Strong SQL skills for data extraction, transformation, and analysis from relational databases and data warehouses
• Must Have: Proficiency in Power BI, Tableau, or equivalent BI tools for dashboard development and reporting
• Must Have: Advanced Excel / Google Sheets — financial modeling, scenario analysis, pivot tables, complex formulas
• Preferred: Python or R for data analysis, automation, or analytical workflows
• Ability to work with large, complex datasets across multiple data sources

AI Adaptability

• Must Have: Active, demonstrable use of AI tools in current work — candidates should be able to provide specific examples of how AI has improved their workflow, output quality, or speed
• Willingness and ability to continuously adopt new AI tools and methods as they become available
• Comfort using AI for coding assistance, data exploration, dashboard prototyping, and analytical problem-solving

Mindset & Working Approach

• Ownership: Treats assigned areas as personal accountability — does not wait for direction to investigate issues, identify risks, or surface insights
• Depth and curiosity: Goes beyond surface-level analysis to understand business context, root causes, and second-order implications
• Quality and accuracy: Holds a high personal standard for the correctness, completeness, and trustworthiness of all outputs
• Business context orientation: Understands the business model and connects financial data to what is actually happening operationally and strategically
• Clear communication: Presents financial and analytical findings to diverse audiences (finance, product, engineering, leadership) with clarity and precision
• Speed with rigor: Operates effectively in a fast-paced environment without compromising accuracy

Preferred Experience

• Background in technology, payments, fintech, SaaS, or high-growth platform businesses
• Experience with ERP systems (NetSuite, SAP, Oracle) or planning tools (Anaplan, Adaptive Insights, Pigment)
• Exposure to data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift)
• Experience in cross-functional environments working directly with product, engineering, and go-to-market teams
• Experience with high transaction volume environments where data complexity is inherent

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. 

Role Overview: ZoomInfo is seeking a Data Analyst III to join the Data Operations and Analysis team. This role partners closely with Product, Engineering, and Research teams to enhance data infrastructure, improve data quality, and deliver actionable insights that drive business impact.

Key Responsibilities:

• Develop a deep understanding of data systems, pipelines, and infrastructure.
• Analyze current data processes, identify gaps, and recommend scalable improvements.
• Drive initiatives to enhance data accuracy, coverage, and efficiency.
• Collaborate cross-functionally with Data Engineering, Product, and Research teams.
• Perform advanced data analysis and present insights in a clear, structured manner.
• Mentor junior analysts and contribute to team capability building.
• Work independently to explore data, propose solutions, and execute projects end-to-end.

Core Competencies:

• Strong analytical thinking and problem-solving ability.
• Ability to work in ambiguous environments and drive clarity.
• Effective communication with both technical and non-technical stakeholders.
• High attention to detail and strong organizational skills.
• Self-driven with the ability to manage multiple priorities.

Required Qualifications:

• 5+ years of experience in analytics, data operations, or quantitative research.
• Advanced proficiency in SQL, Python, BigQuery, and Excel.
• Strong understanding of ETL processes and data quality challenges.
• Experience working with large-scale datasets.
• Familiarity with AI/ML concepts including NLP and data modeling.

Preferred Qualifications:

• Experience building or deploying AI/ML solutions.
• Exposure to tools like Tableau or Looker Studio.
• Experience with Databricks, AWS, or Airflow.
• Background in product-driven or project-based environments.

Impact: This role plays a critical part in shaping the future of ZoomInfo’s data ecosystem by improving data reliability, scalability, and strategic value.

#LI-SG2

#LI-Hybrid

Overview of Role

As 66degrees continues its rapid growth, we are seeking a hands-on, highly technical IT Operations Manager to build and manage our internal IT Operations function. This is a critical management role responsible for the stability, integrity, and operational excellence of our core information technology systems.

Reporting to the Director/VP of Technology, you will take ownership of our cloud infrastructure, hardware assets, and our comprehensive portfolio of SaaS business applications, along with the team members dedicated to each of these IT subsets. You will build and mentor a team of talented IT engineers, establish and manage operational processes, and serve as the key escalation point for all IT Operations. The ideal candidate is a player and coach with a deep technical understanding of modern infrastructure and SaaS management, capable of leading a team, guiding technical strategy, and getting hands-on with the work when the need arises.

Key Responsibilities

Team Leadership & Management

• Build, manage, and mentor a high-performing IT Operations team, including Cloud Engineers, SaaS Administrators, and Subject Matter Experts (SMEs).
• Foster a culture of collaboration, innovation, and continuous improvement, providing professional development and growth opportunities for team members.
• Serve as the primary escalation point for the IT Operations team, providing technical guidance and resolving complex IT business issues.
• Develop and maintain Standard Operating Procedures (SOPs), and best practices for our global IT department.

Cloud Infrastructure Operations

• Oversee the administration, maintenance, and optimization of all internal Cloud Platform environments.
• Lead discussions with various teams regarding their use of internal cloud infrastructure to advise on best practices and methods to automate the provisioning and management of cloud resources.
• Ensure the availability, security, and cost-efficiency of our cloud infrastructure, including Compute Engine, GKE, Cloud Storage, BigQuery, Vertex AI, Gemini Enterprise, NotebookLM Enterprise, and others.
• Oversee the implementation of robust IAM policies, network security (VPCs, VPNs, firewalls), monitoring via the Cloud Operations suite, and logging.

SaaS & Business Systems Operations

• Lead the administration, integration, and optimization of our core corporate SaaS portfolio, including Google Workspace, Salesforce, Rippling, Atlassian, Slack, Google Partner Tools, Office 365, ChurnZero, Ramp, Asana, WiseStamp, EasyDMARC, GoDaddy, and others.
• Design and enforce a comprehensive Identity and Access Management (IAM) strategy using Rippling IT, including automated user provisioning/de-provisioning (SCIM, JIT) and adherence to the Principle of Least Privilege.
• Oversee the development and maintenance of our integration strategy, leveraging iPaaS solutions like Workato, Google Apps Script, and custom scripts to build robust, automated workflows between business systems.
• Partner with business departments (HR, Sales, Marketing) to understand their needs and own the technical implementation of their core platforms, while collaborating with team members to define shared platform ownership and accountability.

Collaboration, Strategy, Security

• Partner closely with the Security Operations team to implement "as-a-service" best practices, manage our MDM solution, and gather evidence for compliance audits.
• Collaborate with global teams on infrastructure initiatives and the rollout of internal frameworks, such as Dev vs. Prod delineation.
• Evaluate, select, and manage relationships with key IT vendors and service providers, ensuring they meet performance and contractual expectations.
• Partner with the Security team for GRC buildout (Drata) and Trust Center buildout (SafeBase).

Required Qualifications

• 8-10 years of progressive experience in IT Operations or Systems Engineering, including at least 4 years in a direct management capacity leading and mentoring technical teams.
• Strong leadership and English communication skills, with a proven ability to bridge time zones and cultural nuances while managing remote/offshore resources..
• Extensive experience managing a large portfolio of enterprise SaaS applications and implementing enterprise-wide IAM strategies using a central IdP (e.g., Rippling or Okta).
• Proven ability to architect high-level strategy and manage teams while remaining technical enough to execute alongside them and provide direct hands-on support.
• Technical proficiency in Infrastructure as Code (IaC), specifically using Terraform to automate cloud infrastructure management.
• Hands-on experience with enterprise integrations, either through scripting (Python, Bash, Google Apps Script) or via an iPaaS platform (Workato preferred).
• Deep expertise in Mobile Device Management (MDM) for at-scale corporate assets, BYOD environments, and Chrome browser management.
• Extensive hands-on experience across the entire Google stack, including GCP infrastructure at scale and advanced Google Workspace administration.
• Strong understanding of ITIL v4 frameworks, particularly in Change Management and Incident Response within a high-growth environment.
• Experience with CLI tools such as gCloud, GAM, Git, Docker, Homebrew, and others.

Preferred Qualifications

• Industry-recognized IT certifications (e.g., CompTIA A+, Network+, Security+, ITIL 4, CCNA, RHCSA, CCNP, PMP, CISM).
• Prior experience thriving in the fast-paced environment of a technology consulting or professional services firm.
• Experience establishing internal governance and access controls for Enterprise AI tools (e.g., Gemini Enterprise, Vertex AI, or NotebookLM).
• Proven track record of reducing manual IT service desk tickets by 30%+ through the implementation of "Low-Code/No-Code" automation or advanced iPaaS recipes.
• Direct experience partnering with SecOps through SOC2, ISO 27001, or HIPAA compliance audits using automated GRC platforms like Drata.
• Practical experience moving an organization toward a Zero Trust security model.
• Familiarity with Lifecycle Management (LCM) transitions, moving from manual onboarding to fully automated "Zero-Touch" provisioning.
• Experience applying Agile or Kanban methodologies to internal IT Operations to manage sprint cycles for SaaS integrations and infrastructure projects.
• Prior experience managing the IT side of Mergers and Acquisitions, including domain migrations, SaaS consolidation, and tenant-to-tenant transfers.

Overview of Role

The MicroStrategy Administrator will be responsible for the installation, configuration, maintenance, and support of the MicroStrategy platform. They will work with a variety of MicroStrategy products and will leverage their python, SQL, and automation skills to monitor, maintain, and improve MIcroStrategy environments. This role requires collaborating with clients and analysts to identify optimal technical solutions, utilizing and improving established processes, and collaborating on the Managed Solutions team.

Responsibilities

• Implementing and managing security roles, access controls, and authentication mechanisms within MicroStrategy to ensure data security and compliance with organizational policies.
• Manage user access and permissions
• Work with clients and analysts to gather requirements and design solutions
• Provide technical support to MicroStrategy users, troubleshooting issues, and answering questions related to report development, data access, and platform functionality 
• Stay up-to-date on the latest MicroStrategy features and best practices
• Create and maintain comprehensive documentation of the MicroStrategy environment, including system architecture, configurations, and troubleshooting guides
• Proven experience in dashboard development, report building, object development, and maintenance
• Develop workflows to automate administrative functions utilizing tools such as Python, MicroStrategy’s Rest API, Command Manager and System Manager. 
• Monitor system performance, identifying bottlenecks, and optimizing system resources (CPU, memory, disk space) to ensure efficient operation and scalability. This may involve query optimization, caching strategies, and load balancing.
• You are motivated and driven. You volunteer for new challenges without waiting to be asked. You’re going to take ownership of the time you spend with us and truly make a difference.
• Strong experience in CI/CD and Git-based version control (Bitbucket – push/pull, branching), along with JIRA and Confluence.
• Experience with MicroStrategy Administrative Functions is required!

Qualifications

• At least 3-5 years of experience working with the MicroStrategy Analytics Platform in an administrative capacity. 
• Strong familiarity with the differences in administrative process between self-hosted and Managed Cloud Environments (MCE). 
• Strong understanding of MicroStrategy architecture and components.
• Experience with MicroStrategy installation, configuration, and administration
• Experience with performance tuning and troubleshooting
• Experience managing environments with heavy utilization of intelligence cubes and high volumes of subscriptions.
• Experience utilizing MicroStrategy Workstation, understanding the differences in capabilities between Workstation and Developer application capabilities. 
• Experience building automation solutions utilizing Python and MicroStrategy’s Rest API.
• Strong proficiency in SQL, including advanced query writing and performance optimization
• Strong Experience utilizing System Manager and Command Manager applications.
• Bachelor's degree in Computer Science or related field or equivalent experience.
• Working knowledge or Hands-on experience of BI/reporting tools (Tableau, Power BI, Looker Studio) is desirable and will be viewed as an added advantage.
• Experience or familiarity with Google BigQuery is a plus.
• Experience with security and user management.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and own deliverables end-to-end.
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

Overview of Role

As a Solution Consultant, you will work closely with Sales, Engineering, and Service Delivery teams to ensure our customers are achieving successful implementations. You will be responsible for crafting robust architectural proposals and delivering Statements of Work (SOWs) that engineering teams can successfully execute. Through your collaborative interactions with our teams and clients, you’ll have an active role in shaping our customer’s experience from start to finish.

In partnership with the sales team, you will formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of the Google Cloud Platform. As a trusted customer advocate, you will help customers understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to these solutions. Additionally you will educate customers of all sizes on the value proposition of Cloud and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud or on-premise as needed.

Responsibilities

• Collaborate with sales and engineering teams to understand customer requirements and develop tailored cloud solutions using Google Cloud Platform services.
• Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
• Specify the deliverables of services projects by developing detailed project Statement of work (SOWs).
• Put on consulting hat during stakeholder engagements and drive full stack thinking around both business and technology levers
• Assist the sales team with the preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Be a technical and business consultant to our clients before, during, and after implementations.
• Differentiate 66degrees products and services from our competitors by understanding the market and industry intimately.
• Design and propose custom cloud based solutions for clients based on your research and their needs.
• Prepare demonstrations and proof of concept environments based on client requirements.
• Act as a technical resource for our team by continually bringing value and an innovative mindset to our projects.
• Assist with and perform deliverable work for clients to gain first-hand experience with solutions. 
• Embrace 66degrees team mentality by providing our team general support on new products and technology in the market.

Qualifications 

• 3+ years of experience working within Google Cloud Platform (GCP) or Azure/AWS; GCP Preferred.
• Professional level certification in GCP is required within first 90 days of employment.
• Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP, strongly preferred. 
• Experience with traditional and cloud infrastructure as well as cloud migrations.
• Experience with the primary managed data services within GCP, including Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery.
• Experience with using AI Platform, GE Agent Platform, Agent Studio, or BigQuery ML to manage and deploy machine learning models.
• Specify the deliverables of services projects by developing detailed project scopes of work (SOWs); Assist sales team with preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Experience with container engines: Kubernetes, Docker, AWS Elastic Container Service.
• Experience with automation technologies including Terraform, Google Cloud Deployment Manager, AWS Cloud Formation or Microsoft Azure Automation
• Experience working with engineering and sales teams to elicit customer requirements.
• Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders
• Advocate and demonstrate the value of the Google Cloud and service offerings to prospects.
• India: Willingness to work 12.30pm to 9.30pm IST shift for overlap with global team. 

Overview of Role

As a Cloud & Edge Engineer at 66degrees, you will bridge the gap between centralized cloud power and localized edge intelligence. You will design, build, and maintain complex infrastructure on Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) for global clients, with a specific focus on Manufacturing Edge environments. You will be instrumental in optimizing performance, scalability, and security from the data center to the factory floor.

Responsibilities

• Core Responsibilities

• Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.

• Advanced Automation: Drive the implementation of Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager to automate intricate provisioning across cloud and edge.

• Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.

• Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.

• DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.

• Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.

• Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.

• Cross-Functional Collaboration: Partner with data scientists, industrial engineers, and software developers to deliver end-to-end solutions that align with complex business requirements.

Qualifications

• 1. Cloud & Edge Expertise

  • 4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.

  • Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.

  • Proficiency in Kubernetes (GKE) and container orchestration at scale.

  2. Data & Networking

  • Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.

  • Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.

  • Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.

  3. Automation & Scripting

  • Expertise in Terraform or similar IaC tools.

  • Proficiency in Python or Bash for automation and configuration management.

  • Comfortable managing both Linux and Windows operating systems.

  4. Soft Skills & Education

  • Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.

  • Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.

  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

66degrees Software Engineers within the Innovation team are catalysts for future growth. You will leverage your strong development foundation to explore emerging technologies, identify new opportunities, and rapidly prototype high-impact "accelerators" and minimum viable products (MVPs) for our clients. Partnering with cross-functional experts in AI, data, and cloud engineering, you will move beyond mission-critical application delivery to actively shape the next generation of intelligent enterprise solutions. This role is for a highly motivated and exploratory individual passionate about turning complex challenges into clear, quantifiable outcomes and driving new value for the business.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems, with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization. 

Qualifications

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
• Working knowledge of REST APIs, microservices architecture, and backend system design.
• Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

We value candidates who demonstrate a balance of technical depth (data/backend) and breadth (frontend, AI, product thinking), along with a strong attitude and willingness to learn.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Overview of Role

66degrees’ Managed Cloud Optimization (MCO) team works with some of the largest cloud users in the world to help them transform their businesses with technology. Our Site Reliability Engineers (SREs) combine Google Cloud Platform expertise with a passion for devops methodologies to help our clients maintain, optimize, and scale their cloud implementations. 

On a daily basis, our SREs work with varied and exciting customers on topics ranging from solving critical outages to designing and deploying new cloud workloads to building self-healing automation. Our SREs work with cutting-edge Google Cloud technologies like Google Kubernetes Engine (GKE), Anthos, BigQuery and data pipelines, as well as leading 3rd party tools like Prometheus, Datadog, and many others. Our SREs also work with languages like Python and Terraform to create automation, deploy infrastructure, and contribute to open-sourcing.

If you’re looking to continually build and apply your Google Cloud expertise to new and varied environments while acting as a key contributor to building the best Google consulting partner in the industry – let’s talk.

Responsibilities

Our ideal candidate will understand the value of teamwork. We are looking for the right fit with our rapidly growing organization and will invest in training.

We are based in Chicago, Illinois and Denver, Colorado. Remote candidates should not hesitate applying. A 66degrees’ Site Reliability Engineer’s responsibilities and duties are as follows: 

• Ensure near-zero downtime with monitoring and alerting, self-healing automation, and continuous improvement
• Create highly automated, available and scalable systems by applying software and infrastructure principles
• Employ and advise clients on DevOps and SRE principles and practices, covering deployment pipelines, HA, service reliability, technical debt, and operational toil for live services running at scale
• Provide a proactive approach to our clients’ workloads, anticipating failures, automating tasks, ensuring availability, and providing a great customer experience
• Work closely with clients, your team, and Google engineers to investigate and resolve infrastructure issues
• Contribute to ad-hoc initiatives such as writing documentation, open-sourcing, and improving operation, making a huge impact at a rapid-growth Google Premier Partner

Qualifications

• Minimum 3+ years of cloud and infrastructure experience, including demonstrated expertise with Linux, Windows, k8s, databases, and networking services
• 2+ years of Google Cloud experience and related certifications strongly preferred but not required
• Proficiency with Python required. Other programming language experience is a plus
• Strong provisioning and configuration skills using Terraform
• Experience with 24x7x365 monitoring, incident response, and on-call support.
• Experience in troubleshooting that spans systems, network, and code
• Experience determining & negotiating Error budgets, SLIs, SLOs, and SLAs with product owners
• Demonstrate the ability to work independently and as a member of a greater team, including cross-team activities
• Experience working in Agile Scrum, Kanban methodologies in SDLC
• Proven experience balancing service reliability, metrics, sustainability, technical debt, and operational toil for live services running at scale
• Strong communication skills, as this is a heavily customer-facing role
• Bachelor’s degree in computer science, electrical engineering, or equivalent required

ABOUT THE ROLE:

As an Engineering Manager at Tide,

• You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
• You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
• You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
• You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.

WHAT WE ARE LOOKING FOR:

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java. 
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases. 
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
• A technical hands on leader who is in the details of what the team is working on day to day.
• Experience leading teams
• Experience directly managing people.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management 

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

ABOUT THE ROLE:

As an Engineering Manager at Tide,

• You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
• You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
• You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
• You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.

WHAT WE ARE LOOKING FOR:

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java. 
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases. 
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
• A technical hands on leader who is in the details of what the team is working on day to day.
• Experience leading teams
• Experience directly managing people.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management 

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

ABOUT THE ROLE:

As an Engineering Manager at Tide,

• You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
• You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
• You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
• You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.

WHAT WE ARE LOOKING FOR:

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java. 
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases. 
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
• A technical hands on leader who is in the details of what the team is working on day to day.
• Experience leading teams
• Experience directly managing people.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management 

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

Senior Software Engineer, Billing

 Job Description: 

As a Sr. Backend Engineer, you will be a key player in our team, responsible for the design, development, and maintenance of our next-generation Billing service.  

 Responsibilities: 

• Design, construct, test, and maintain a highly scalable, event-driven billing service. 

• Build and operate ingestion pipelines that consume usage events from Pub/Sub and other upstream sources. 

• Implement metering, rating, aggregation, and reconciliation logic that guarantees correctness and idempotency at scale. 

• Ensure systems meet business requirements, regulatory needs, and industry best practices. 

• Collaborate with product managers, architects, engineering leaders, and test engineers to deliver new billing capabilities. 

• Drive improvements on billing reliability, accuracy, performance, and cost efficiency. 

• Troubleshoot and support the platform in production, including on-call rotations. 

 Qualifications: 

• 5+ years of software engineering experience. 

• 3+ years of Java backend development, with hands-on experience using Spring Boot. 

• Degree in Computer Science, IT, or similar field; a Master's is a plus. 

• Strong Computer Science fundamentals in design, data structures, algorithms, problem solving, and complexity analysis. 

• Experience designing and implementing RESTful APIs and event-driven services. 

• Strong understanding of event-driven architectures and asynchronous processing. 

• Experience with messaging systems (Pub/Sub, Kafka, or similar) and at-least-once / exactly-once processing semantics. 

• Hands-on experience with the GCP ecosystem (Pub/Sub, GCS, GKE, Cloud SQL, BigQuery, or similar). 

• Experience architecting, developing, and operating internet-scale, distributed, mission-critical services. 

• Prior experience in developing new features and debugging complex issues with minimal supervision. 

 Nice-to-have: 

• Previous experience building or operating billing, metering, rating, or invoicing systems. 

• Familiarity with file-based data formats such as CSV and Parquet. 

• Experience with stream processing frameworks (Apache Beam/Dataflow, Flink, Spark Streaming). 

• Previous experience in the Contact Center or Telco industry. 

We are expanding our engineering team in India (Bangalore) and are seeking a Staff Software Engineer to help design, implement, and scale Five9’s next-generation cloud-native services. This role is ideal for engineers who thrive on hands-on coding, technical depth, and building complex distributed systems.

Role Overview

As a Staff Engineer at Five9, you will work on core backend services that power our global cloud contact center platform. You’ll have the opportunity to tackle hard engineering problems at scale, remain deeply involved in coding, and contribute to a culture that values craftsmanship, innovation, and technical excellence — while mentoring others and shaping best practices along the way.

Key Responsibilities

• Design, develop, and optimize high-performance microservices using Java and Spring Boot
• Write clean, maintainable, and testable code, with a strong focus on scalability, reliability, and performance
• Take ownership of services end-to-end — from design and implementation to deployment, monitoring, and ongoing operations
• Collaborate with architects and senior engineers on system design, technical reviews, and problem-solving
• Ensure services meet SLAs, performance metrics, and security standards
• Contribute to improving CI/CD pipelines, automation, and observability to reduce manual effort and improve service reliability
• Provide technical guidance and mentorship to mid-level and junior engineers through code reviews, pairing, and knowledge sharing
• Stay current with evolving technologies and help evaluate and adopt tools that strengthen our platform

Qualifications & Skills

• Strong debugging and problem-solving skills, with an ability to dive deep into complex production issues
• 7-10 Years of development experience in Java Microservices
• Deep expertise in Java with strong experience in Spring or Spring Boot
• Proven ability to build and operate distributed, cloud-native microservices at scale
• Strong experience with GCP services (e.g., GKE, Pub/Sub, BigQuery, CockroachDB, Redis)
• Experience with Kubernetes, containerization, and CI/CD pipelines (GitLab or similar)
• Practical knowledge of SQL and NoSQL databases and caching strategies
• Solid understanding of system design, data structures, algorithms, and performance optimization
• Understanding of Product Archietecture

Preferred Skills (Nice to have)

• Exposure to voice and telephony systems (SIP, RTP, IVR, call routing) or real-time communication platforms
• Experience in latency-sensitive, high-throughput systems
• Familiarity with Looker, analytics pipelines, and large-scale reporting systems
• Familiarity with Agile, Jira, Confluence, E2E test, etc

Technology & Tools

• Languages & Frameworks: Java, Spring, Spring Boot
• Cloud & Infrastructure: GCP (GKE, Pub/Sub, BigQuery, CockroachDB, Redis), Kubernetes
• DevOps & CI/CD: Git, GitLab CI/CD
• Collaboration & Documentation: Swagger, JIRA, Confluence
• Hardware: Apple MacBook options available

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The Role  

As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ years of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role & Responsibilities

• Design and build data pipelines: Develop scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows for batch and streaming data processing.
• Manage data infrastructure: Maintain and optimize data storage solutions, such as data lakes (Cloud Storage) and data warehouses (BigQuery), to ensure scalability, performance, and reliability.
• Ensure data quality: Implement processes to guarantee the accuracy, integrity, and security of data throughout its lifecycle.
• Collaborate with teams: Work closely with data scientists, analysts, and software engineers to understand their data needs and deliver robust data solutions.
• Support machine learning: Operationalize machine learning models by building and maintaining the data pipelines that feed and integrate with Google's Vertex AI platform.
• Automate processes: Implement automation for manual data tasks and workflows to improve efficiency.
• Troubleshoot issues: Monitor and debug data systems and pipelines to ensure uninterrupted data delivery. 

Must have

To be considered for this role, you must meet the following essential qualifications: 

• Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is typically required.
• Minimum 3 + Years of experience as a Data Engineer.
• Programming expertise: Proficiency in Python, SQL, and other languages like Java or Scala is common.
• GCP technologies: Hands-on experience with core GCP services is essential. Key services include:
• Data Processing: Dataflow, Dataproc, and Pub/Sub.
• Storage and Warehousing: BigQuery, Cloud Storage, and Cloud SQL.
• Orchestration: Cloud Composer (powered by Apache Airflow).
• Data fundamentals: Deep understanding of data modeling, data warehousing, and distributed systems.
• Big Data technologies: Experience with open-source tools like Apache Spark or Apache Beam.
• Testing and DevOps: Familiarity with CI/CD pipelines (e.g., Cloud Build), Git, and automated testing.
• Analytical skills: Strong problem-solving and analytical thinking abilities.
• Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders.
• Certification (preferred): A Google Cloud Professional Data Engineer certification can boost a candidate's profile 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 The Benefits  

This is a Full-Time position based in Bengaluru, Gurugram, Ahmedabad and Pune.

Beyond a competitive compensation package, we offer: 

• Flexibility, with hybrid work options (country-dependent) 
• Learning and development, with access to cutting-edge tools, training and industry experts.

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

We are seeking a skilled AI QA Engineer with 4–6 years of experience in test automation and a strong focus on validating AI/ML and LLM-based systems. The ideal candidate will have hands-on expertise in automation frameworks, API/UI testing, and experience in validating NLP/LLM models across complex, data-driven applications.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks for UI, API, and backend systems
• Perform end-to-end testing of AI/ML pipelines, including NLP and LLM-based applications
• Validate LLM outputs using techniques such as prompt validation, response scoring, and model comparison
• Build and execute test strategies for microservices and event-driven architectures
• Conduct data validation across systems using SQL/BigQuery and ensure data accuracy in pipelines
• Automate regression, smoke, and end-to-end test suites to improve coverage and efficiency
• Integrate automated tests into CI/CD pipelines using Jenkins or similar tools
• Collaborate with developers, data scientists, and product teams to ensure high-quality AI solutions
• Analyze defects, identify root causes, and ensure timely resolution
• Continuously improve test frameworks, tools, and processes

Required Skills & Qualifications

Automation & Testing

• Strong experience in Selenium WebDriver, RestAssured, TestNG
• Expertise in API Testing, UI Testing, and Microservices Testing
• Experience in building Hybrid/POM-based automation frameworks

Programming

• Proficiency in Java (mandatory)
• Basic working knowledge of Python

AI / ML / LLM Testing

• Experience testing NLP/LLM models (e.g., BERT, GPT-based models, QWEN, Gemini)
• Knowledge of NER validation, prompt testing, and output evaluation techniques
• Exposure to model validation, scoring mechanisms, and dataset validation

Data & Cloud

• Strong SQL skills with experience in BigQuery or similar platforms
• Understanding of event-driven systems (Pub/Sub or similar)
• Experience in validating JSON-based data pipelines

DevOps & Tools

• Experience with Jenkins, Maven, Git/Bitbucket
• Knowledge of CI/CD pipeline integration and test reporting (Allure or similar)

Good to Have

• Experience in Healthcare, OTT, or E-commerce domains
• Exposure to EMR/EHR systems or clinical data validation
• Knowledge of UMLS, CUI mapping, or healthcare NLP concepts
• Experience with mobile testing (Appium)

Experience

• 4–6 years of experience in QA Automation / SDET roles
• Hands-on experience in AI/ML or LLM validation is highly preferred

Education

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

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Principal Data Software Engineer

Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a visionary and technically adept Principal Data Software Engineer to design, develop and optimize our cloud-native data platform supporting AI, analytics, and clinical applications. This role is pivotal in architecting scalable, secure, and high-performance data processing systems within a regulated healthcare environment. 

The ideal candidate brings deep technical expertise in data engineering, data governance, cloud infrastructure and hands-on experience with healthcare data standards, EMR integration, and clinical ontologie. The candidate should have a proven record of building secure, scalable data platforms. This position reports to the Senior Director, Product Development. This role requires close collaboration with data engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Responsibilities:

Platform Architecture & Design

• Design and implement scalable, secure, and efficient data architectures (e.g., data lakehouse, medallion architecture) to support enterprise AI and analytics initiatives.
• Define technical specifications for data ingestion, transformation, storage, and access layers.
• Evaluate and recommend tools, frameworks, and cloud infrastructure to optimize performance, scalability, and cost-efficiency.
• Ensure architectural alignment with organizational AI, analytics, and clinical application goals.

Data Engineering & Operations

• Develop and maintain high-performance data pipelines for both batch and streaming data processing, leveraging tools such as Apache Spark, Databricks or Snowflake.
• Implement deployment and orchestration frameworks (e.g., Airflow, dbt, Spark, Databricks, Snowflake)
• Adhere to engineering best practices for CI/CD, observability, incident response, and SLA adherence
• Optimize data processing systems for performance, reliability, and reusability.

• Mentor engineers to foster technical growth and ensure alignment with best practices in data engineering.

Governance, Quality & Compliance

• Collaborate with data governance and compliance teams to implement data security, encryption, and access control policies in line with HIPAA, GDPR, and other regulations.
• Ensure data quality through validation, lineage tracking, and metadata management practices.
• Support the development and maintenance of data catalogs for discoverability and stewardship

Collaboration & Technical Leadership

• Partner with data engineers, product teams, and clinical informatics specialists to deliver integrated data solutions.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaboration.
• Communicate complex technical designs and solutions to both technical and non-technical stakeholders effectively.
• Contribute to agile development practices, participating in code reviews, design discussions, and continuous improvement initiatives.

Innovation & Technical Expertise

• Stay informed about emerging trends in data engineering, cloud-native architectures, and healthcare data standards.
• Prototype and evaluate modern data frameworks and tools (e.g., Delta Lake, Apache Iceberg) to enhance platform capabilities.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Advocate for best practices in data platform design to ensure scalability, explainability, and compliance in AI-driven systems.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience with at least 4+ years in data engineering or platform roles
• Proven track record of designing and implementing cloud-native data processing systems.

Technical Proficiency

• Advanced proficiency in Python, Scala, SQL, and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or Redshift).
• Demonstrated ability to transform raw clinical data into curated, ML-ready datasets for analytics and AI applications.
• Hands-on expertise in healthcare data standards including FHIR, HL7, USCDI, and CCDA

Professional Skills

• Strong problem-solving skills with a focus on delivering scalable and maintainable solutions.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Senior Software Engineer in AI - Java Spring, backend

Five9 is a leading provider of cloud software for the enterprise contact center market, bringing the power of the cloud to thousands of customers and facilitating more than three billion customer interactions annually. Five9 has led the cloud revolution in contact centers, helping organizations transition from legacy premise-based solutions to the cloud. The cloud contact center market has become the hot space for innovation in real-time communications and is the tip of the spear for the application of Artificial Intelligence. Five9 has led the charge with its Genius AI platform. Five9 offers a high-energy environment with lots of room for personal and professional growth. Our innovative AI team is seeking a talented and experienced Senior Full Stack Software Engineer. In this role, you will be part of the team that builds software that brings AI technologies to users. Prior AI experience is not required - you will have the opportunity to integrate with AI technologies from vendors like Azure, OpenAI, Google, Databricks, IBM, and Amazon, and thus receive on-the-job experience for some of the hottest skills on the market. An ideal candidate for us is an experienced engineer who is passionate about building high performance web platforms and applications, a brilliant problem solver and a creative self-starter.

Key Responsibilities:

• Be part of an agile team developing a scalable, highly available application platform using modern PaaS platforms such as GCP.
• Utilizing Java Spring Framework, Spring Boot and reactive programming pattern for creation of highly scalable, robust microservices.
• Participate and contribute to requirements analysis and feature grooming.
• Understand how to leverage PaaS components, such as message buses, cloud functions (lambdas), and noSQL databases when developing software in order to achieve scalability, reliability, and operability.
• End-to-end feature development from UI implementation all the way through the middleware and backend platform.
• Document and communicate clearly architecture and implementation solutions.
• Have ownership of your code in production, including on-call, troubleshooting.

Key Skills:

• 5+ years software development experience.
• Highly proficient in Java – Spring Framework, Spring Boot, reactive programming (desirably, but not required to have experience with rxjava or similar) and JavaScript.
• Experience with PaaS hosted relational and no-SQL databases (mySQL, BigQuery, DataStore, etc)
• Familiarity with vibe coding using different AI tools like Claud Code,
• Experience in developing automated test cases with modern tools such as Junit.
• Experience in operational code ownership – on-call, troubleshooting, uptime.
• Experience in applying design patterns and separating concerns in a distributed system.
• Experience with Web Technologies (HTML, CSS, DOM, JavaScript) and web standards (HTML5)
• Familiarity with client-side JavaScript Toolkits such as React is a plus but not required.
• Must have experience working within an Agile/Scrum team.
• Positive, self-motivated and enthusiastic attitude with a strong sense of ownership.
• Strong proactive communication skills, both verbal and written.
• Design and manage data pipelines to process AI-generated insights, ensuring reliable data flow, quality, and actionable outputs for decision-making.
• AI skills in speech recognition and natural language processing are a plus but not required.
• Experience in contact center software is a plus but not required.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:    

project44 is looking for a Sr Analyst, Data Science to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.   

About the Role

• We are looking for a Senior Product Analyst, Data Science, to drive analytics for ML-powered products at project44.
• This role sits at the intersection of Product, Data Science, and Operations, with a mandate to define how ML systems are measured, evaluated, and improved in production. You will own the analytical frameworks that connect model performance to product outcomes, ensuring our AI capabilities deliver measurable business impact.
• You will work on ambiguous, high-impact problems, designing experiments, evaluating models (offline and online), and shaping product strategy through data. This is not a reporting role. You are expected to operate as a thought partner to Product and Data Science, influencing decisions and driving outcomes.
• As analytics evolves, this role will focus on building AI-native and agent-driven analytics systems, including semantic layers, data contexts, and automated insight generation. You will help define how analytics is consumed in an environment where agents, not just dashboards, drive decisions.

What You’ll Do

Own Product & ML Measurement

• Define and operationalize success metrics across product and ML systems, including north-star metrics, product KPIs, and model-level evaluation frameworks.

Drive Model Evaluation & Feedback Loops

• Evaluate model performance using offline and online metrics (e.g., precision/recall, lift, latency, adoption) and establish feedback loops to continuously improve models in production.

Translate Product Problems into Analytical Frameworks

• Break down ambiguous product and operational problems into structured analyses that drive clear, actionable decisions.

Partner Across Product & Data Science

• Work closely with Product Managers and Data Scientists to shape roadmaps, guide prioritization, and ensure alignment between model performance and user impact.

Build Scalable Analytics Foundations

• Develop reusable datasets (SSOTs, data marts) and enable self-serve analytics across teams.

Build AI-Native Analytics Systems

• Design and develop semantic layers, data models, and context systems that enable agent-driven analytics. Build and operationalize workflows where agents autonomously generate insights, monitor performance, and surface recommendations on a recurring basis.

Design Agent-Driven Analytics Workflows

• Design and implement agent-driven analytics workflows where insights are generated, monitored, and delivered autonomously using LLMs and modern AI tooling.

What We’re Looking For

4–6+ years in Product Analytics, Data Science, or related roles, with experience supporting data-driven product decisions.

Analytical & Statistical Expertise

Strong foundation in statistics and experimentation, including hypothesis testing, A/B testing, and causal inference.

Technical Skills

Proficiency in SQL and Python, with experience working with large-scale, event-level datasets and modern data platforms.

ML Product Understanding

Experience defining and analyzing model performance metrics and understanding trade-offs between offline and online evaluation.

Cross-Functional Collaboration

Proven ability to work closely with Product and Data Science teams to drive outcomes.

Communication & Influence

Ability to clearly communicate complex analyses and influence stakeholders across technical and non-technical audiences.

Preferred Skills

• Experience working on ML-powered products or data platforms
• Familiarity with model evaluation concepts (precision/recall, ROC, calibration, bias/variance)
• Experience analyzing online vs offline performance and feedback loops
• Familiarity with modern data stack (dbt, Snowflake/BigQuery, event tracking, feature stores)
• Experience with predictive modeling or close collaboration with Data Science teams
• Hands-on experience using AI tools (LLMs, copilots) in analytical workflows
• Experience building or working with agent-based or AI-native analytics workflows
• Familiarity with semantic layers, metrics layers, or data context systems
• Experience using LLMs for automated analysis, insight generation, or decision support
• Strong product and business intuition

What Success Looks Like (6–12 Months)

• Establish clear measurement frameworks for assigned ML-powered products
• Improve visibility into model performance and diagnostics (offline and online)
• Deliver actionable insights that influence product roadmap decisions for assigned products
• Build scalable datasets and frameworks that enable self-serve analytics
• Enable tighter feedback loops between Product, Data Science, and real-world outcomes

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly. 

Diversity & Inclusion 

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day. 

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. 

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! 

For any accommodation needed during the hiring process, please email   recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements. 

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

About Us

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Faction, NfX, Accomplice, and other top-tier investors.

Role Overview

OpenFX processes billions of dollars in transaction volume across global corridors. Every decision around pricing, risk, liquidity, reconciliation, and compliance depends on accurate, timely, and trustworthy data. We need Data Engineers who can build reliable data pipelines, ensure data correctness end to end, and make data usable for analytics, risk, and operations at scale. You will own critical data infrastructure that directly powers our financial operations.

Key Responsibilities

• Own 1 to 2 critical data pipelines that ingest, transform, and publish production data
• Design data models that are accurate, auditable, and easy to consume
• Build reliable ingestion pipelines from transactional systems and external partners
• Ensure data correctness and freshness through validation, monitoring, and backfills
• Handle late-arriving, duplicate, and inconsistent data safely
• Partner with Backend, Analytics, Risk, and Ops teams to translate requirements into robust data solutions
• Improve core data metrics such as pipeline reliability, data latency, and reconciliation accuracy
• Automate pipeline operations including retries, recovery, and backfills

What We're Looking For

Required

• 3 to 7 years experience in data engineering or backend data systems
• Strong SQL and data modeling fundamentals
• Experience building batch and/or streaming pipelines
• Experience working with relational databases and data warehouses
• Experience handling schema evolution and backfills
• Understanding of data quality, validation, and monitoring
• Ability to clearly explain data tradeoffs

Preferred

• Experience with Kafka, Spark, or Flink
• Experience with modern warehouses (BigQuery, Snowflake, Redshift)
• Experience with Airflow or similar orchestration tools
• Experience in fintech or regulated domains
• Familiarity with event-driven architectures
• Experience mentoring junior engineers

What We Offer

• Competitive salary and benefits package.
• Equity in a rapidly growing company.
• Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
• Opportunity to make a significant impact on global financial infrastructure.
• Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The Opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The Role  

As an Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 8+ years of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role & Responsibilities:

Technical Pre-Sales & Thought Leadership (50%)

• Lead AI-First Solutions Architecture: Design and present innovative solutions leveraging Gemini 2.5 (Flash & Pro), Google Agentspace, and Vertex AI to solve complex business challenges
• Agentic AI Consulting: Architect multi-agent systems using Agent Development Kit (ADK), Agent Engine, and Agent2Agent (A2A) protocol for cross-platform agent collaboration
• Enterprise AI Positioning: Evangelize Gemini Enterprise capabilities including agentic search, custom agent creation, and integration with enterprise collaboration tools
• Technical Discovery & Scoping: Lead pre-sales discovery engagements, conducting workshops to identify AI and cloud modernization opportunities
• Proposal Development: Develop comprehensive Statements of Work (SOWs), technical architectures, and cost models aligned with Google partner funding requirements (DAF/PSF)
• Customer Presentations: Deliver compelling technical presentations and demos showcasing Google Cloud's latest innovations in AI, data, and infrastructure
• Solution Consulting: Provide expert guidance on Google Cloud engineering practices, security best practices, and cloud-native architecture patterns

Advanced Solution Delivery (50%)

• AI Platform Architecture: Design and implement production-grade AI solutions using:
• Gemini Models: Deploy Gemini 2.5 Flash (low latency, cost-efficient) and Gemini 2.5 Pro (enhanced reasoning) for enterprise use cases
• Vertex AI Platform: Build custom AI applications with model customization, tuning, RAG implementations, and multimodal capabilities
• Google Agentspace: Architect enterprise knowledge management solutions with agentic intranet search, custom agent creation, and pre-built agents
• Generative Media: Implement Imagen 4 (image generation), Veo 3 (video generation), and Lyria (text-to-music) for creative workflows
• Modern Data Platform Leadership: Design scalable data architectures using:
• BigQuery: Autonomous data-to-AI platform with Gemini-powered data agents for conversational analytics
• AlloyDB: PostgreSQL-compatible database with AI-powered upgrades and Agentspace integration
• Looker: Conversational BI platform with Gemini integration for LookML code generation and visualizations
• Dataflow, Pub/Sub, Dataproc: Real-time and batch data processing pipelines
• Enterprise Integration & Migration: Lead complex initiatives including:
• Greenfield Google Cloud foundations and landing zone builds with AI-ready infrastructure
• Workload migration from on-premise and multi-cloud environments
• Legacy database modernization (SQL Server to PostgreSQL/AlloyDB) with Gemini-assisted query translation
• Multi-cloud architectures with Cross-Cloud Interconnect (400G bandwidth)
• Technical Leadership: Guide cloud engineering teams in implementing architectural patterns, ensuring code quality, security compliance, and operational excellence
• Security & Compliance: Design solutions using Google Unified Security, security agents for alert triage and malware analysis, and Cloud Confidential Eligible (CCE) applications
• Documentation Excellence: Produce comprehensive technical documentation, architecture diagrams, and runbooks

Must Have

To be considered for this role, you must meet the following essential qualifications: 

• Education: A Bachelor's or Master’s degree in computer science, Engineering, or a related technical field is typically required.

Experience & Seniority

• Minimum 5+ years of hands-on experience architecting and implementing Google Cloud solutions in enterprise environments
• 3+ years in customer-facing technical roles (solutions architect, technical consultant, or similar)
• Proven track record delivering complex cloud transformation and AI implementation projects

Core Google Cloud Expertise

• Advanced Platform Knowledge: Deep expertise across Google Cloud's core services:
• Compute: Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions
• Networking: VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect, Cloud Armor
• Security & IAM: Organization policies, IAM, Secret Manager, Certificate Manager, Security Command Center
• Operations: Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Trace
• Infrastructure-as-Code Mastery: Expert-level proficiency in Terraform with experience in:
• Multi-environment deployments and workspace management
• Module development and reusable infrastructure patterns
• CI/CD pipeline integration (Cloud Build, GitHub Actions)
• State management and remote backends
• Database & Storage: Production experience with:
• AlloyDB, Cloud SQL, Spanner for relational workloads
• Firestore, Bigtable for NoSQL applications
• Cloud Storage with lifecycle management and retention policies

AI & Data Specialization

• Gemini & Generative AI: Hands-on experience with:
• Gemini API integration and multimodal capabilities (text, image, video, audio)
• Prompt engineering and RAG (Retrieval Augmented Generation) implementations
• Model fine-tuning and customization on Vertex AI
• Understanding of Gemini 2.5 Flash vs Pro tradeoffs
• Vertex AI Platform: Proven experience building production AI applications:
• Model training, deployment, and monitoring
• AutoML and custom model development
• Vertex AI Search and Conversation implementations
• MLOps practices and CI/CD for ML
• Google Agentspace: Familiarity with or strong desire to learn:
• Agentic search and knowledge management architecture
• Custom agent development using ADK (Agent Development Kit)
• No-code/low-code agent creation patterns
• Agent2Agent (A2A) protocol for multi-agent orchestration
• Data Analytics: Expertise in modern data architectures:
• BigQuery: Advanced SQL, optimization, partitioning, clustering, cost management
• Data pipeline orchestration (Dataflow, Cloud Composer)
• Real-time streaming with Pub/Sub
• Looker dashboards and LookML (preferred)

Certifications (Nice to have)

• Google Cloud Professional Cloud Architect (must obtain within first 6 months if not already held)
• Additional Google Cloud certifications highly valued:
• Professional Data Engineer
• Professional Machine Learning Engineer
• Professional Cloud Developer
• Professional Cloud Security Engineer

Professional & Soft Skills

• Exceptional Communication: Ability to translate complex technical concepts into business value for C-suite executives, product managers, and technical teams
• Workshop Facilitation: Experience running technical workshops, design thinking sessions, and architecture reviews
• Presentation Excellence: Confident delivering presentations and demos to large audiences and executive stakeholders
• Consultative Approach: Trusted advisor mindset with ability to challenge assumptions and recommend best practices
• Collaboration: Proven success working with distributed, cross-functional teams using Agile/Scrum methodologies
• Customer Focus: Strong empathy for customer challenges with creative problem-solving abilities
• Languages: Excellent spoken and written English (mandatory)

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 The Benefits  

This is a Full-Time position based in Bengaluru.

Beyond a competitive compensation package, we offer: 

• Flexibility, with hybrid work options (country-dependent) 
• Learning and development, with access to cutting-edge tools, training and industry experts.

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

As a Senior Data Engineer in the Engineering team: 

Data engineering team builds the robust pipelines that feed the analytics driving the renewable energy sector, enabling real-time monitoring, forecasting, predictive maintenance, and grid optimization for solar, wind, and other sources, ensuring efficiency, reliability, and effective integration into smart grids by managing massive data flows from IoT devices, PLC systems and smart meters. In essence, data engineers create the "data highways" that allow data scientists and AI to turn raw energy data into actionable intelligence, making renewable energy systems smarter, more efficient, and more reliable for a sustainable future

Join us in:

• Building and optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems.
• Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains
• Collaborating with cross-functional teams to deliver end-to-end data solutions that drive business insights.
• Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability.
• Working on complex data engineering challenges that push the boundaries of cloud data infrastructure.

You'll have:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers.
• Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka.
• Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses.
• Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake.
• Familiarity with workflow orchestration tools like Airflow or Prefect.
• Proven ability to lead data engineering teams and mentor junior engineers.

It would be great if you have:

• Experience working with IoT or real-time streaming data.
• Knowledge of data governance frameworks and best practices.
• Exposure to MLOps workflows and integrating data with machine learning models.
• Experience in the energy or manufacturing sector or familiarity with time-series data.
• A strong understanding of data warehousing concepts, including Kimball model design.
• A deep understanding of data security and compliance requirements, particularly in cloud environments.

**A PLUS if you provide the link to your GitHub Website