Python Jobs in Gurgaon.
All active Python roles based in Gurgaon.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know our Team:
In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.
The Opportunity:
Agoda is seeking experienced Software Engineers to design and build mission-critical APIs and backend systems that handle millions of user search requests every day. This is an exciting opportunity to work on large-scale distributed systems, shape technical direction, and help build reliable software that supports Agoda’s global platform.
In this Role, you'll get to
- Lead the development of product features, experiments, technical initiatives, and complex systems.
- Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
- Continuously improve system architecture and drive better software design and engineering practices.
- Play a key role in strengthening agile and scrum ways of working.
- Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
- Proactively identify opportunities to enhance products, code quality, and development processes.
- Write high-quality, maintainable code while supporting others in doing the same.
- Influence and drive important technical decisions across the organization.
What You’ll Need to Succeed
- 7+ years of experience building and maintaining performance-critical applications in production environments using Scala, Java, or C#.
- Proven experience leading projects, technical initiatives, and/or teams, with end-to-end ownership of systems.
- Familiarity with data platforms such as SQL, Cassandra, or Hadoop, with a solid understanding of how different use cases require different data solutions.
- Strong foundation in algorithms and data structures.
- Excellent coding and problem-solving skills.
- Genuine passion for software engineering, with a continuous desire to learn and improve.
- Strong verbal and written communication skills in English.
It’s Great If You Have
- Experience working in Scrum or Agile environments.
- Experience building large-scale distributed systems or products.
- Familiarity with core engineering tools such as Git, TeamCity, and Puppet.
- Hands-on experience with technologies such as Kafka, RabbitMQ, ActiveMQ, MSMQ, Spark, Hadoop, Cassandra, MongoDB, Play Framework, or Akka.
#india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Tesco Media & Insight Platform is a partnership between Tesco, the UK’s largest grocery retailer, and dunnhumby. Fueled by first‑party behavioral data from over 23 million Clubcard holders, we help brands understand consumer behaviors and reach the right customers, at the right time, with the right message across the full marketing funnel. Our closed‑loop measurement connects what customers see with what they buy, helping brands Shape What Britain Buys and maximize the impact of every pound of media investment.
Roles and Responsibilities
As a Senior AI Engineer, you will be a hands‑on technical contributor designing, building and operating production‑grade GenAI and agentic AI solutions that power Tesco Media & Insight Platform’s global products and services. You will work closely with the AI Engineering Manager, Product, Data Science and Engineering teams to turn business problems into secure, scalable, observable AI systems that deliver measurable value for brands and shoppers.
- Design and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services.
- Build AI agents and multi‑step agentic workflows, including tool calling, orchestration, and integrations with internal and external systems.
- Contribute to the design of MCP servers and agent‑to‑agent / agent‑to‑application protocols to enable safe, reliable automation of retail media and insight use cases.
- Work with the AI Engineering Manager and architects to define solution designs, interface contracts and non‑functional requirements (security, reliability, performance, cost).
- Implement security, privacy and governance controls in AI solutions, including safe prompt and tool design, data protection, secrets management and access control.
- Apply DevOps/MLOps practices: contribute to CI/CD pipelines for models, prompts and agents; use infrastructure as code; support environment management and automated testing.
- Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts.
- Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows.
- Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services.
- Write high‑quality, well‑tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability.
- Participate in code reviews, design reviews and incident post‑mortems, and contribute to continuous improvement of our AI engineering practices.
- Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media & Insight Platform.
What you’ll need to succeed in the role
- Strong experience in software/data/ML engineering, with hands‑on delivery of AI/ML or LLM‑based solutions into production (not just prototypes).
- Practical experience on GCP and Vertex AI, including deploying models, building pipelines, and implementing RAG/vector search‑based solutions.
- Solid understanding of LLMs and foundation models: transformers at a high level, tokenization, embeddings, context windows, RAG, and the trade‑offs between fine‑tuning, adapters and prompt‑based approaches.
- Hands‑on experience building agentic workflows or AI agents (e.g. tool‑augmented chat, multi‑step workflows, or multi‑agent systems) using one or more modern frameworks or platforms.
- Good grasp of security and safety for AI systems, including prompt and tool design to reduce hallucinations and prompt injection, safe handling of sensitive data, and application‑level guardrails.
- Experience with DevOps/MLOps practices: CI/CD, version control, automated testing, infrastructure as code, monitoring and incident handling in a cloud environment.
- Strong programming skills in Python and experience building and consuming APIs; familiarity with microservices and event‑driven architectures is a plus.
- Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review.
- Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges.
- Clear, proactive communication and the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Experience: 5+ years of relevant experience
WHY I DO MY JOB? | Job Purpose.
Design, build, and operate scalable data science and analytics solutions that power business decision‑making and digital products. This role bridges data science development, distributed data processing, and cloud platform engineering—ensuring that models, rules, and analytics workflows are performant, secure, observable, and production‑ready on enterprise cloud platforms.
WHAT I DO? | Key Accountabilities.
Data Science & Distributed Engineering
- Design and develop Spark‑based (PySpark) modules implementing custom data science logic, statistical methods, and complex business rules.
- Build reusable, scalable Python and SQL components for batch and near‑real‑time analytics workloads.
- Optimize data pipelines for performance, reliability, and cost efficiency across large datasets.
- Translate analytical and data science requirements into production‑grade, testable code.
Data Science Platform & Cloud Enablement
- Contribute to and support the Applied Data Science hosting Spark workloads and web applications on GCP and/or Azure.
- Configure and manage cloud resources including:
- Virtual Private Clouds (VPCs) and networking
- Secure access patterns and Role‑Based Access Control (RBAC)
- IP whitelisting and external exposure of applications
- Enable observability through logging, monitoring, alerting, and traceability for both data and application workloads.
Infrastructure, CI/CD & Automation
- Implement and maintain CI/CD pipelines for data science and Spark workloads.
- Use Docker for containerized execution and deployment.
- Apply Terraform / IaC principles to provision and manage cloud infrastructure.
- Ensure consistent, repeatable deployments across development, staging, and production environments.
Engineering Quality & Governance
- Enforce best practices around code quality, testing, version control, and documentation.
- Partner with security and platform teams to ensure compliance with enterprise standards.
- Troubleshoot production issues across data pipelines, Spark jobs, and platform components.
Collaboration & Technical Leadership
- Work closely with Data Scientists, ML Engineers, Platform Engineers, and Product teams to operationalize analytics solutions.
- Provide technical guidance and reviews for complex data science engineering work.
- Contribute to platform standards, reusable frameworks, and engineering roadmaps.
HOW I DO MY JOB? | Qualifications.
Experience
- 5–8+ years of hands‑on experience in data engineering, data science engineering, or analytics platform engineering.
- Proven experience delivering production systems built on Python, PySpark, BigQuery and SQL.
Core Technical Skills
- Strong proficiency in:
- Python (production‑level code)
- PySpark / Apache Spark
- SQL across large analytical datasets
- Experience implementing complex analytical logic, business rules, or statistical workflows at scale.
Cloud & Platform Expertise
- Hands-on experience with GCP and/or Azure, including:
- Cloud consoles and managed services
- Networking concepts (VPCs, subnets, firewall rules)
- RBAC, IAM, and secure access controls
- Experience exposing internal applications securely to external consumers.
DevOps & Infrastructure
- Practical knowledge of:
- CI/CD pipelines
- Docker and containerized workloads
- Terraform / Infrastructure as Code
- Strong understanding of production reliability, monitoring, and observability.
Software & Systems Engineering
- Solid grounding in software engineering principles, modular design, and testing strategies.
- Ability to debug and operate distributed systems in production.
Leadership & Mindset
- Comfortable operating in a mixed role: hands-on development and platform enablement.
- Strong ownership mindset with the ability to work across data science, infra, and engineering boundaries.
- Clear communicator able to align technical solutions with business needs.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Senior Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
What we expect from you
- Degree in Statistics, Maths, Physics, Economics or similar field
- 5- 7 years of experience required
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Logical thinking and problem solving
- Strong communication skills
- Stakeholder Management
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
- Statistical Modelling and experience of applying data science into client problems.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.
Key Responsibilities
- Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms.
- Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams.
- Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies.
- Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability.
- Define and implement data governance, metadata management, and data quality standards.
- Lead architectural reviews and technical design sessions to guide solution development.
- Partner with business and IT teams to translate business needs into data architecture requirements.
- Ensure security, compliance, and regulatory requirements are addressed in all data solutions.
- Evaluate and recommend improvements to existing data architecture and processes.
Technical Expertise
- Bachelors or masters degree in computer science, Information Systems, Data Science, or related field.
- Extensive experience with high level programming languages - Python, Java or Scala
- 5+ years of experience in data architecture, data engineering, or a related field.
- Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata).
- Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services.
- Experience working in Agile or DevOps environments.
- Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks).
- Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets.
- Extensive Experience working with Git and Process Automation
- In depth understanding of relational database management systems (RDBMS) and Data Flow Development.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We are looking for a hands-on Lead/ Senior DevOps Engineer to raise the bar for our DevOps practice, mentor the team, and help evolve our DevOps function into a modern, product-minded Platform Engineering capability. You’ll lead day-to-day work, partnering closely with Dunnhumby leadership, and drive high-quality outcomes across infrastructure-as-code, CI/CD, observability, and developer experience. You’ll collaborate directly with software teams and treat platforms as products—anchored by user feedback, clear roadmaps, SLOs, and measurable improvements to delivery speed and reliability.
Our Toolset: (you don’t need all, but you can lead with most)
What You'll Do
- Lead and mentor a small team of DevOps engineers in IST, providing day-to-day guidance, pairing, and structured growth plans.
- Partner with product and engineering teams to help deliver a platform-as-product: contributing to clear roadmaps, customer feedback loops, SLOs, and well-documented golden paths.
- Own cloud infrastructure (GCP, some Azure) using infrastructure-as-code (Terraform).
- Design, standardize, and continuously improve CI/CD pipelines in GitLab, and facilitate migrations from TeamCity and Octopus Deploy.
- Establish and scale GitOps practices with Argo CD; champion progressive delivery and environment promotion strategies.
- Strengthen observability with actionable dashboards and alerts in Grafana; drive SLO/error-budget thinking and operational reviews.
- Improve security posture across the SDLC (secrets management, image/package governance, artifact hygiene, SAST/DAST reporting via SonarQube).
- Facilitate excellent cross-time-zone communication and handovers; set up crisp status updates, docs, and runbooks in Confluence.
- Influence architecture and reliability decisions (Kubernetes, networking, IAM, cost management) with a bias for automation and sustainability.
- Contribute hands-on: code reviews, IaC modules, pipeline templates, and reference implementations.
What You'll Bring
- 8+ years in DevOps / SRE / Platform Engineering with hands-on delivery in cloud-native environments.
- Proven leadership: experience in line management and mentoring/coaching across teams without formal authority.
- Strong communication: clear written and verbal communication with engineers, stakeholders, and leadership across time zones.
- Deep experience with GCP (preferred) and working knowledge of Azure; strong grounding in Kubernetes, networking, IAM, and security fundamentals.
- Mastery of infrastructure-as-code (Terraform) and configuration management (Helm); excellent scripting in Bash and at least one higher-level language (Python/Go/etc.).
- Fluency with CI/CD design and operations using GitLab, TeamCity, and Octopus; artifact and dependency management via Artifactory.
- Operational excellence mindset: incident management, post-incident reviews, runbooks, SLOs, and data-driven improvement via DORA/SDLC metrics.
- Track record of building developer-centric platforms, internal documentation, enablement materials, and golden paths.
- Relevant certifications that demonstrate depth (e.g., Google Professional Cloud DevOps Engineer / Architect, CKA/CKAD/CKS, Azure Administrator/DevOps Engineer Expert).
Nice to Have
- Experience modernizing a traditional Cloud/Infra team into a product-oriented Platform Engineering practice.
- Background with GitOps policy/guardrails, environment promotion, and release orchestration at scale.
- Exposure to cost optimization and FinOps practices in GCP/Azure.
- Hands-on with self-hosted GitLab Premium administration at enterprise scale.
- Pragmatic, outcome-focused delivery with a product mindset and high empathy for developers as customers.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Senior Engineer (C/C++) who expects more from their career. It’s a chance to extend and improve dunnhumby’s team. We’re a Backend Developers team working with a wide variety of tools and technologies. We handle the whole lifecycle of our teams’ solutions, from inception and development to their deployment and maintenance via Infrastructure as Code. Joining our engineering team, you’ll work with passionate people to build, extend, and maintain the platform that underpins all our client engagements.
Required Skills:
• 6-10 years of experience in software development.
• 6+ years of experience in C/C++, Python and Shell Scripting.
• Fluency in working with databases.
• Have sound understanding of Object-Oriented Programming and development principles.
• Experience working in an Agile Scrum or Kanban development environment.
• Solid understanding of high-quality coding, testing, and development practices
• HLD, LLD, Design Principles , Distributed Computing and Functional programming
Good to Have Skills:
• Experience working with version control software (preferably Git).
• Experience with CI/CD pipelines.
• Experience of working with Dockers and Containers.
• Experience of working with Kubernetes.
• Experience of working with Airflow.
• Experience of working on Cloud environments (GCP and Azure)
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Lead Developer (Python,React,AWS)
Share this job
Lead Developers act as the primary point of contact for our clients, ensuring that teams are successful in their delivery. In this role, you will bring a strategic mindset to projects and spend time collaborating and negotiating with clients to bring a technical vision to life. Having a balance of high-level and tactical mindsets is a must, as you will spend time both with clients and your teammates.
At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Lead Developers guide and coach their teams in their implementation and application.
Job responsibilities
- You will champion and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns
- You will oversee or take part in the entire cycle of software consulting and delivery from ideation to evolution in production and everything in between
- You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible
- You will design solutions and choose technologies that solve clients’ problems while working within constraints and make pragmatic tradeoffs
- You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the wayYou will apply the latest technology thinking from our Technology Radar to solve client problems
- You will apply a variety of languages and tools to your work and continue to code alongside Developers; you will not be post-technical in this role
- You will efficiently utilize and champion DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development
- You will cultivate Thoughtworker growth and development by encouraging feedback and fostering an inclusive, supportive team culture
Job qualifications
Technical Skills
- You have 10+ years of experience in two or more languages (Python, React) and are comfortable with the latest Object-Oriented technology
- You have led software development teams using Agile, Lean and/or Continuous
- Knowledge of delivery approaches such as TDD, continuous integration, pairing and infrastructure automation
- You have extensive experience working with cloud technology such as AWS, Docker or Kubernetes
- You enjoy continuously learning and improving, whether it is through functional programming paradigms, event driven architecture, platform engineering or others
Professional Skills
- You have experience influencing others and always advocate for technical excellence while being open to change when needed
- You bridge product and technology by helping to translate business needs to software requirements
- You have the ability to develop and execute a technical vision with a focus on business value
- You will act as a mentor for less experienced peers through both your technical knowledge and ability to inspire a team to deliver extraordinary impact together
- You’re resilient in ambiguous situations and can approach challenges from multiple perspectives
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Onsite Work Expectation
You may be expected to work out of our Thoughtworks office or at our client's office location for all five working days of the week, depending on business or clients’ needs.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
Ready to apply?
Apply to Referrals OnlyAbout Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know our Team:
In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.
The Opportunity:
Agoda is hiring experienced Software Developers to work on high-scale, mission-critical systems focused on the design and development of APIs that support millions of user search requests each day. This role is ideal for engineers who enjoy solving complex technical challenges, building reliable distributed systems, and influencing architecture at scale.
In this Role, you'll get to
- Lead the development of product features, experiments, technical initiatives, and complex systems.
- Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
- Continuously improve system architecture and drive better software design and engineering practices.
- Play a key role in strengthening agile and scrum ways of working.
- Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
- Proactively identify opportunities to enhance products, code quality, and development processes.
- Write high-quality, maintainable code while supporting others in doing the same.
- Influence and drive important technical decisions across the organization.
What You’ll Need to Succeed
- 10+ years of experience building performance-critical applications in production environments using Scala, Java, Kotlin, Python, Go, or C#
- Proven experience leading projects, technical initiatives, and/or engineering teams, with full ownership of the systems involved
- Hands-on experience with data platforms such as SQL, Cassandra, or Hadoop, and a solid understanding of selecting the right data solution for different application needs
- Strong knowledge of algorithms and data structures
- Demonstrated excellence in software development and coding
- A proven ability to improve team productivity and effectiveness through KPI-driven engineering practices
- Strong software architecture skills, with experience driving architectural decisions within a team
- A passion for software craftsmanship, continuous learning, and engineering excellence
- Excellent written and verbal English communication skills
It’s Great If You Have
- Experience with Scrum/Agile development methodologies
- Experience building large-scale distributed products
- Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
- Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library
#india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.
Location: Gurgaon
Experience: 3-5 years
Key Responsibilities
- Assess current business and CRM processes, identify gaps, and recommend improvements
- Automate workflows and integrate tools using APIs and automation platforms like Zapier
- Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized
- Analyze large, complex datasets to generate actionable sales and business operations insights.
- Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning
- Account and lead list creation and Data Enrichment and for outbound outreach
Mandatory Requirements
- 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)
- Engineering background (Computer Science, IT, or related fields preferred).
- Hands-on experience with Salesforce CRM and preferred Hubspot CRM
- Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)
- Familiarity with Power BI or similar reporting tools
Preferred Skills
- Knowledge of sales and SaaS sales processes.
- Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.
- Exposure to data pipelines and API integrations.
- Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.
- Familiarity with analytics tools and reporting dashboards.
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.
Location: Bangalore
Experience: 3-5 years
Key Responsibilities
- Assess current business and CRM processes, identify gaps, and recommend improvements
- Automate workflows and integrate tools using APIs and automation platforms like Zapier
- Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized
- Analyze large, complex datasets to generate actionable sales and business operations insights.
- Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning
- Account and lead list creation and Data Enrichment and for outbound outreach
Mandatory Requirements
- 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)
- Engineering background (Computer Science, IT, or related fields preferred).
- Hands-on experience with Salesforce CRM and preferred Hubspot CRM
- Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)
- Familiarity with Power BI or similar reporting tools
Preferred Skills
- Knowledge of sales and SaaS sales processes.
- Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.
- Exposure to data pipelines and API integrations.
- Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.
- Familiarity with analytics tools and reporting dashboards.
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary:
The Total Rewards Analyst supports the development, analysis, and administration of Payoneer’s global compensation and benefits programs. The role is heavily focused on global compensation benchmarking, salary range management, annual cycles, and support for global wellbeing and benefits programs. This position works across regions and partners closely with TR region partners, HRBPs, and People Services to ensure accurate data, strong governance, and a consistent employee experience in line with Payoneer’s Total Rewards philosophy.
What You’ll Do:
1. Compensation & Benchmarking
· Support global market data collection and job matching; analyze survey results to produce insights and recommendations.
· Assist in building and maintaining global salary ranges and supporting tools.
· Contribute to the annual compensation cycle, including data validation, planning templates, quality checks, and reporting.
2. Benefits & Wellbeing Programs
· Support global and local benefits administration, including renewals, vendor coordination, and employee inquiries.
· Contribute to global wellbeing programs and initiatives (e.g., wellness, EAP, regional benefits updates).
3. Programs, Policy & Governance
· Maintain job data accuracy across systems by supporting JD repository updates and assisting with job architecture alignment.
· Assist in compliance-related tasks such as audit requests, eligibility checks, and documentation.
4. Analytics, Reporting & Tools
· Conduct advanced analysis in Excel or Google Sheets; develop dashboards where helpful.
· Support data preparation for TR leadership and cross-functional partners.
5. Cross-Functional Partnership
· Collaborate with HRBPs, Talent Acquisition, Finance, and People Services on TR-related processes, data needs, and employee questions.
· Respond to employee and manager inquiries with clarity and professionalism.
What We’re Looking For:
1. Experience & Skills
· 2–4+ years of experience in Compensation, Benefits, or broader Total Rewards; global company experience preferred.
· Strong analytical skills with advanced Excel or Google Sheets capabilities; experience with PowerBI, Python, or similar tools is a plus (not required).
· Foundational understanding of compensation fundamentals (e.g., benchmarking, job matching, salary structures, annual cycles).
· Strong organizational skills with the ability to manage multiple deliverables simultaneously.
· Clear and concise communication skills; ability to explain TR concepts to non-experts.
· Comfort working autonomously in a fast-moving, high-ambiguity environment with opportunities to build new processes and frameworks.
2. Mindset & Behaviors
· Curiosity and willingness to experiment, learn new tools, and improve existing processes.
· High accuracy and attention to detail.
· Team-oriented, highly collaborative, and comfortable working across time zones.
#LI-SS2
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role:
We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.
What you’ll be spending your time on
- Create and maintain CI/CD pipelines for the company's products
- Building and maintaining high-performance, fault tolerant, scalable ALM system, from Version control, Builds and Deployments to Monitoring and configuration management
- Maintain the application layer of our public cloud and private cloud
- Develop and integrate infrastructure tools in support of our production system
- Automate the Provisioning and configuration of Windows/Linux environments
- Work closely with product, QA, developers and IT/operations departments to streamline their working methods
- As a core member of the team, you will participate in 'On-Call' duties on Payoneer production systems, working in non-conventional hours include weekends and holidays (from time to time)
Have you done this kind of stuff?
- BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
- At least 6 years’ experience as DevOps Engineer
- A minimum of 5 years of exposure running production workloads (AWS, Azure or GCP)
- Microservices architecture & container orchestration (Docker and Kubernetes)
- Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
- Experience with GitOps (e.g., ArgoCD or Flux)
- Experience with Configuration Managements tools like Chef, Ansible or Puppet
- Proven Scripting capabilities: PowerShell/Bash/Python
- High level Linux OS expertise
- Programming experience skills (C#, NodeJS - advantage)
- Experience managing application servers and web servers
- Strong troubleshooting skills
- Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK)
- Proactive by nature; internal drive for excellence and improvement
Not a must but a great advantage
- Experience in SQL
- Experience with software development and development frameworks
- Experience with event streaming and messaging platforms such as Kafka, RabbitMQ…
- Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch …
- Knowledge and understanding Storage and Networking
#LI-PG1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary:
The Total Rewards Program Manager leads global Total Rewards programs spanning compensation, benefits, mobility, and M&A integration. This role manages complex TR initiatives, drives global cycles and governance, delivers analytical insights, and shapes scalable TR frameworks. The Program Manager partners closely with senior leaders and cross-functional teams across regions and operates with a high degree of autonomy, accuracy, and judgment.
What You’ll Do:
Global Program & Project Management:
- Manage global TR programs, including compensation cycles, governance updates, pay frameworks, and wellbeing initiatives.
- Build scalable TR processes, tools, playbooks, and documentation to support global consistency.
Compensation:
- Manage global benchmarking cycles, survey submissions, job matching oversight, and analysis.
- Lead updates to global salary ranges, pay structures, and global compensation frameworks in partnership with TR leadership.
- Deliver compensation modeling, insights, and recommendations for global roles.
Global Benefits & Wellbeing:
- Contribute to evaluation, alignment, and enhancement of global benefits and wellbeing programs.
- Partner with TR leadership on global harmonization work and vendor review cycles.
Global Mobility:
- Support TR work for global relocations, assignments, and transfers.
- Develop compensation recommendations, cost estimates, and mobility frameworks.
- Partner with HRBPs, Finance, Legal, and Talent Acquisition to ensure consistent and compliant mobility processes worldwide.
M&A Integration:
- Manage TR workstreams in acquisitions, including due diligence, compensation and benefits analysis, job mapping, and integration planning.
- Drive harmonization of acquired populations into Payoneer’s global TR programs and systems.
Governance, Compliance & Policy:
- Maintain strong approval frameworks, documentation, and audit-ready TR processes.
- Ensure global policy alignment in partnership with TR leadership and cross-functional stakeholders.
Analytics, Reporting & Insights:
- Create advanced reports, modeling, and dashboards to support TR decision-making.
- Use Excel extensively; familiarity with PowerBI or Python is an advantage.
Stakeholder Management & Communication
- Partner with senior leaders, HRBPs, TA, Legal, Finance, and People Services across regions.
- Develop manager-friendly global TR communications, guides, and training materials.
What We’re Looking For
Experience & Skills:
- 5–7+ years in Total Rewards, Compensation, or related fields with global program experience.
- Strong experience leading compensation cycles or global TR projects.
- Advanced Excel/G-Sheets; PowerBI/Python experience is a plus.
- Strong communication and stakeholder-management skills; able to influence at senior levels.
- Experience with mobility and M&A integration is an advantage.
Mindset:
- Operates well in ambiguity and brings structure, clarity, and accuracy.
- Fast learner with strong judgment and a proactive approach to problem-solving.
- Highly collaborative, dependable, and comfortable working across time zones.
- Curious, improvement-oriented, and motivated to build efficient global TR systems.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Key Responsibilities
· Own ad-hoc analytical requests within a defined scope, delivering fast, reliable, and well-documented outputs.
· Translate business and product questions into clear analytical goals, queries, metrics, and KPIs.
· Build and maintain dashboards, visualizations, and alerts that enable self-service decision-making.
· Optimize SQL queries and data processing in BigQuery for performance and cost.
· Design and maintain scalable data layers and models in BigQuery to support AI agents, self-service BI, and product/operational monitoring.
· Lead end-to-end analytical workflows: scoping, extraction, analysis, validation, and presentation.
· Monitor key processes and metrics, proactively surfacing anomalies and opportunities.
· Collaborate with Product, Data Engineering, and business teams on tracking, data contracts, and data quality, ensuring consistent, well-documented data.
Have you done this kind of stuff?
· 2–4 years as a Product/Data/Business Analyst (fintech a plus) and a relevant bachelor’s degree.
· Strong SQL with hands-on BigQuery experience, including optimizing complex queries and data processing.
· Experience designing analytics data models/layers and working with large, event-level datasets.
· Proficient in BI and visualization tools (e.g., Looker, Power BI, Tableau) and building stakeholder-facing dashboards.
· Proven ability to define/track KPIs, translate ambiguous business questions into structured analysis, and communicate insights clearly.
· Interest or experience in building data foundations for AI-driven and self-service analytics; Python is a plus.
#LI-KC1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Summary and Impact
As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:
- Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
- Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
- Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
- Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
- Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
- Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
- Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
- Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.
Skills and Experience:
If this opportunity looks right for you, we are looking for candidates who have:
- Bachelor’s degree in computer science, Information Technology, Engineering or related field.
- 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
- Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
- Proficiency in SQL, Excel, and Python/R
- Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
- Experience in a commerce media or digital marketing agency is a plus.
- Excellent problem-solving, communication, and project management skills.
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaAbout WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Key Responsibilities:
- Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
- Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
- Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
- Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
- Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
- Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives.
- Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
- Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements.
- Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.
Senior-Level Expectations:
- Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
- Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture.
- Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
- Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.
Required Skills
- 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
- Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
- Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.
Good to Have
- Adverity
- Dataflow
- Big Query
- Databricks
- DBT
- Terraform
- Wrike/Jira/Azure DevOps
- DP‑203 / GCP Data Engineer certifications
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
#LI-GOC
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaAbout Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.
What Makes This Role Different
This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:
- Use AI coding assistants daily to accelerate development without sacrificing code quality.
- Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
- Share best practices for AI-assisted workflows with the broader engineering team.
- Help define team standards for responsible and effective AI tool adoption.
Key Responsibilities
1 Feature Engineering & Delivery
- Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
- Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
- Translate product requirements and technical specifications into clean, maintainable implementations.
- Lead feature squads for medium-complexity initiatives from design through deployment.
- Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.
2 AI-Augmented Development Practices
- Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
- Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
- Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
- Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
- Stay updated on the latest AI development tooling and evaluate new tools for team adoption.
3 Code Quality & Engineering Excellence
- Write testable, modular, and well-documented code following the team's style guides and design principles.
- Drive test-driven development (TDD) and maintain code coverage targets.
- Perform thorough code reviews with constructive feedback; uphold engineering standards.
- Identify and address technical debt proactively; contribute to architecture improvements.
- Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.
4 Architecture & Technical Design
- Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
- Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
- Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
- Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.
5 Mentoring & Team Growth
- Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
- Onboard new team members by sharing codebase context, tooling setup, and team practices.
- Contribute to a culture of psychological safety, learning from failures, and continuous improvement.
6 Cross-functional Collaboration
- Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
- Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
- Participate in customer-facing escalations where deep technical expertise is required.
Required Qualifications
1 Education
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.
2 Experience
- 3 – 5 years of professional software engineering experience in a product-focused environment.
- Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
- Track record of shipping production features end-to-end with measurable business impact.
3 Technical Skills — Core Engineering
- Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
- Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
- Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
- Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
- DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
- Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
- Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.
4 AI Tooling Skills (Mandatory)
- Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
- Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
- Experience reviewing and validating AI-generated code for correctness and security.
- Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).
5 Nice to Have
- Contributions to open-source projects.
- Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
- Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
- Experience in a startup or scale-up environment with rapid iteration cycles.
- Knowledge of web security (OWASP Top 10, secure coding practices).
Behavioural Competencies
- AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
- Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
- Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
- Mentorship: Invests in the growth of peers and junior colleagues.
- Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
- Curiosity: Continuously explores new tools, languages, and architectural patterns.
- Collaboration: Works well in cross-functional squads; builds trust quickly.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.
You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.
Key Responsibilities
1 Technical Vision & Architecture
- Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
- Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
- Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
- Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
- Own the technical roadmap for AI tooling, developer productivity, and model integration layers.
2 Cross-Squad Technical Leadership
- Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
- Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
- Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
- Run cross-team design reviews, architecture syncs, and engineering guild sessions.
3 AI-Augmented Engineering Excellence
- Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
- Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
- Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
- Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.
4 Hands-On Engineering
- Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
- Personally drive resolution of the most complex production incidents and root-cause analyses.
- Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
- Own observability and reliability for AI inference and MLOps integration layers in production.
5 Mentoring & Talent Development
- Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
- Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
- Contribute to onboarding frameworks that embed AI-first practices from day one.
- Model a culture of rigorous experimentation, psychological safety, and continuous improvement.
6 Stakeholder & Product Collaboration
- Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
- Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
- Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.
Required Qualifications
1 Education
- Bachelor’s or Master’s degree in Computer Science, or a related field.
- Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.
2 Experience
- 6 – 8 years of professional software engineering experience in product-focused environments.
- Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
- Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
- Proven track record of shipping production systems with measurable business impact at scale.
- Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.
3 Technical Skills — Core Engineering
- Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
- Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
- Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
- Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
- DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
- Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.
4 AI / ML Integration Skills (Mandatory)
- Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
- Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
- Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
- Ability to define and enforce AI code quality standards across an engineering team.
- Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.
5 Technical Skills — Nice to Have
- Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
- Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
- Contributions to open-source ML or developer tooling projects.
- Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
- Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.
Behavioural Competencies
- AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
- Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
- Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
- Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
- Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
- Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
- Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
- Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.
Key Responsibilities
1 Model Design & Training
- Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
- Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
- Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
- Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
- Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.
2 Model Evaluation & Quality
- Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
- Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
- Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
- Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.
3 MLOps & Deployment
- Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
- Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
- Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
- Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.
4 Research & Innovation
- Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
- Contribute to internal knowledge sharing, technical documentation, and model cards.
- Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
- Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.
5 Collaboration & Stakeholder Management
- Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
- Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
- Participate in architecture reviews, sprint planning, and cross-functional design discussions.
Required Qualifications
1 Education
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
- Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.
2 Experience
- 4 – 6 years of professional experience in machine learning or NLP engineering.
- Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
- Demonstrable experience taking a model from dataset preparation through to production deployment.
3 Technical Skills — Core
- Programming: Python (proficient); familiarity with C++/CUDA a plus.
- Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
- NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
- Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
- Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
- Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
- Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
- Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.
4 Technical Skills — Nice to Have
- Experience with multimodal models or vision-language models (VLMs).
- Knowledge of model safety, alignment techniques, and responsible AI frameworks.
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
- Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.
Behavioural Competencies
- Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
- Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
- Ownership: Takes full accountability for model quality, timelines, and production reliability.
- Collaboration: Works effectively in cross-functional teams with diverse skill sets.
- Communication: Distils complex technical concepts for diverse audiences.
- Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
Senior Data Analyst
Share this job
ABOUT KHAN ACADEMY
Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of world-class instructional and practice resources that empowers learners. Whether they’re studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
ABOUT KHAN ACADEMY INDIA
Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content accessible in local languages and by working with large public school systems. Khan Academy is available in Hinglish, Hindi, Gujarati, Assamese, Marathi, Punjabi and Kannada.
ABOUT THE ROLE
We are looking for a person who will help us with data management, transformation, analysis and visualization. The primary focus will be on choosing optimal tools to use for these purposes and then maintaining, implementing, and monitoring them. Optimally you have knowledge of at least one dynamic language and SQL, a good business mindset, and data analysis competencies.
Please note that this is a 12-months contract role, subject to extension further.
In this role you will:
- Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
- Database Management: Design, build, and maintain scalable data pipelines and workflows in BigQuery; Ensure data accuracy, consistency, and reliability
- Exploratory Analysis: Perform descriptive and diagnostic analyses to uncover trends, patterns, and insights.
- Business Reporting: Build dashboards, reports, and visualizations (e.g., in Streamlit, Looker Studio, Tableau, or similar tools) to support decision-making.
- KPI Definition & Tracking: Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking as needed
- Data Storytelling: Translate complex datasets into clear, actionable insights for both technical and non-technical audiences
ABOUT YOU
You are someone with:
- Experience with Education or EdTech industry is strongly preferred
- A willingness to roll up your sleeves and help the team get work done as we are growing
- 4+ years of hands on experience in data analytics field, ideally in an education setting
- Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
- Strong SQL foundations & ability to manipulate data using R or Python
- Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling, BI tools, Bigquery)
- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams, experience with BI tools is a plus
- Ability to work collaboratively with cross-functional teams to research and improve our content and products
- Being aware of good practices when collaborating in version control (Git)
PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team like a for-profit.
- Competitive salaries and Meritocracy-driven, candid culture
- A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
- The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
- Remote work friendly, i.e. option to work from home; flexible schedules
LEARN MORE
- Sal’s TED talk from 2011
- Sal’s TED talk from 2015
- Sal’s TED talk from 2023
- A glimpse of our team: http://www.khanacademy.org/about/the-team
- A glimpse of our content created: https://www.youtube.com/watch?v=ED8P8vchQJM
- Our Hinglish content in action: http://bit.ly/khanacademyyoutube
HOW TO APPLY
- Complete the pre-work assignment here and submit your assignments below. Assignment submission is mandatory. We will not consider any application without the proper submission
- Attach your resume or LinkedIn URL in the space provided below.
- Please submit a google drive link of your assignment
- Make sure you have enabled view access for anyone with the link.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
Ready to apply?
Apply to Khan Academy
Software Engineer, Data Infrastructure & Acquisition - Gurgaon, India
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- At least 3 years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines.
Perks and Benefits
- Socials, Outings & Retreats
- One day per week Work From Home flexibility
- Subsidized Lunch
- Culture of Learning & Development
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About The Role
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.
What You’ll Do
-
- Design, build, and manage robust data pipelines and data architectures.
- Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows, ensuring reliability, scalability, and performance.
- Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
- Identify and recommend innovative solutions to enhance data quality and analytics capabilities.
Qualifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
- 5+ years of professional experience as a Data Engineer or similar role.
- Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
- Hands-on experience with data pipeline tools, cloud services, and storage solutions.
- Strong programming skills in SQL, Python, or related languages.
- Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Nice to have
- Certifications related to Azure Data Engineering, Databricks, or Snowflake.
- Familiarity with DevOps practices and CI/CD pipelines
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
#LI-Hybrid
Ready to apply?
Apply to Konrad
Who We Are
Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.
About the role
Konrad is looking to hire full-time Senior Quality Assurance Engineers. The ideal candidate will be responsible for helping to lead testing deliverables that utilize a blend of manual and automated strategies, communicating with client teams, software developers and project managers to determine project needs, creating test strategies with test case scenarios, create, update and maintain automated scripts and perform rigorous testing to ensure overall project success.
Our engineering teams work in smaller groups based on project size, collaborating closely with project management and our quality engineering specialists. We strive to create a work environment that encourages innovation, teamwork, career advancement and personal fulfillment.
Responsibilities
- Lead the creation and execution of test strategies for complex programs, emphasizing automation to boost testing coverage and efficiency on different platforms(web/mobile).
- Drive the design and execution of scalable test automation frameworks that align with project goals.
- Utilize knowledge of API testing tools like Postman or REST Assured for comprehensive backend services testing and data integrity verification through API endpoints.
- Provide technical guidance to junior team members and QA team, guiding them towards achieving targeted automation objectives, fostering skill development and professional growth within the team.
- Perform regular quality checks and user acceptance tests for several projects on the supported devices, operating systems and browsers.
- Foster strong collaboration with software developers, project managers, and client teams to ensure clear communication and understanding of project needs and pushing QA initiatives forward.
- Document defects and provide technical details for the development team to assist with debugging.
- Assist the development team and management with other project-related tasks.
Successful candidates will have
- One of the following degrees (or similar) B.Tech Computer Application, B.Tech Computer Science, BE, Electronics and Communication Engineering, Bachelor's of Technology, Computer Science and Engineering
- Minimum of 2+ years of experience in an automation QA role within an agile setting, alongside a total of 3+ years of experience in software testing or related fields.
- Passion for QA process, engineering, & tooling - looking to improve our existing QA process with proactive suggestions and awareness of industry trends
- Proficiency in Git for effective management of automation scripts, test data, and configurations.
- Familiar with programming languages such as Java, JavaScript, Python to develop sophisticated automation scripts and frameworks.
- Excellent verbal and written communication skills, facilitating clear and effective interaction across teams and with stakeholders.
- Exceptional organizational skills and attention to detail, ensuring high-quality outcomes and systematic project tracking.
- Expertise with tools like Jira, Confluence, TestRail, or similar for project management and documentation.
- Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI/CD (or similar) to automate the testing and deployment process, enhancing operational efficiency and quality.
Perks and Benefits
- Socials, Outings & Retreats
- One day per week Work From Home flexibility
- Subsidized Lunch
- Culture of Learning & Development
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
Ready to apply?
Apply to Konrad
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Team Description
As part of the ADO Platform Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture.
Your Impact
Team Leadership & Development
- Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs
- Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth
- Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery
- Champion engineering culture that balances pragmatic delivery with sustainable practices
Delivery Excellence
- Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles
- Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction
- Apply and evangelize proper use of DORA metrics to measure and improve team performance
- Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule
- Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements
Technical Strategy & Collaboration
- Partner closely with architects to align implementation patterns with long-term technical direction
- Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences
- Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns
- Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services
- Contribute to technical planning, architecture decisions, and incident retrospectives
Platform & Product Mindset
- Apply product thinking to platform solutions, ensuring they meet real business and customer needs
- Champion innovation in performance, tooling, and platform capabilities
- Oversee design and delivery of full stack solutions spanning React, Java, and Python
- Facilitate cross-functional collaboration across engineering, product, and architecture
Your Qualifications
Leadership & Management
- 10+ years of software engineering experience with 5+ years in engineering management or technical leadership
- Proven track record managing teams through significant process transformations (e.g., monthly to daily releases)
- Experience managing both technical leads/Principal Engineers and individual contributors
- Demonstrated ability to scale teams thoughtfully based on demand, not politics
Technical Depth
- Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments
- Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar)
- Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions
- Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows
Delivery & Process
- Pragmatic approach to balancing process, documentation, and speed of delivery
- Deep understanding of DORA metrics and their proper application to drive improvement
- Experience leading high-velocity engineering organizations with daily release cadence
- Skilled at change management and cultural transformation in engineering teams
Communication & Collaboration
- Exceptional communication skills—written and verbal—with ability to influence across all levels
- Experienced creating executive-level strategy documents, roadmaps, and presentations
- Comfortable working with globally distributed teams across multiple timezones
- Strong collaborative partnership with Product Management; proactive problem-solving mindset
Preferred Skills
- Track record of building trust rapidly in new environments
- Passion for technical mentorship and elevating team capabilities
- Experience scaling systems and teams under high throughput demands
- Ability to navigate ambiguity and drive delivery without perfect information
- Comfort with asynchronous collaboration and remote team dynamics
- Experience in hybrid engineering-management roles (player-coach background)
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Team Description
As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for Quality/Performance assuring enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture.
Your Impact
Team Leadership & Development
- Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs
- Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth
- Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery
- Champion engineering culture that balances pragmatic delivery with sustainable practices
Delivery Excellence
- Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles
- Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction
- Apply and evangelize proper use of DORA metrics to measure and improve team performance
- Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule
- Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements
Technical Strategy & Collaboration
- Partner closely with architects to align implementation patterns with long-term technical direction
- Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences
- Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns
- Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services
- Contribute to technical planning, architecture decisions, and incident retrospectives
Platform & Product Mindset
- Apply product thinking to platform solutions, ensuring they meet real business and customer needs
- Champion innovation in performance, tooling, and platform capabilities
- Oversee design and delivery of full stack solutions spanning React, Java, and Python
- Facilitate cross-functional collaboration across engineering, product, and architecture
Your Qualifications
Leadership & Management
- 10+ years of software engineering experience with 5+ years in engineering management or technical leadership
- Proven track record managing teams through significant process transformations (e.g., monthly to daily releases)
- Experience managing both technical leads/Principal Engineers and individual contributors
- Demonstrated ability to scale teams thoughtfully based on demand, not politics
Technical Depth
- Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments
- Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar)
- Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions
- Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows
Delivery & Process
- Pragmatic approach to balancing process, documentation, and speed of delivery
- Deep understanding of DORA metrics and their proper application to drive improvement
- Experience leading high-velocity engineering organizations with daily release cadence
- Skilled at change management and cultural transformation in engineering teams
Communication & Collaboration
- Exceptional communication skills—written and verbal—with ability to influence across all levels
- Experienced creating executive-level strategy documents, roadmaps, and presentations
- Comfortable working with globally distributed teams across multiple timezones
- Strong collaborative partnership with Product Management; proactive problem-solving mindset
Preferred Skills
- Track record of building trust rapidly in new environments
- Passion for technical mentorship and elevating team capabilities
- Experience scaling systems and teams under high throughput demands
- Ability to navigate ambiguity and drive delivery without perfect information
- Comfort with asynchronous collaboration and remote team dynamics
- Experience in hybrid engineering-management roles (player-coach background)
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAbout Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know our Team:
In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.
The Opportunity:
Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.
In this Role, you'll get to
- Lead development of features, experiments, technical projects and complex systems
- Be a technical architect, mentor, and driver towards the right technology
- Continue to evolve our architecture and build better software
- Be a major contributor to our agile and scrum practices
- Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
- Constantly look for ways to improve our products, code-base and development practices
- Write great code and help others write great code
- Drive Technical decisions in the organization.
What You’ll Need to Succeed
- At least 10+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, Kotlin, Python, Go, or C#.
- Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved
- Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements
- Good understanding of algorithms and data structures
- Demonstrated strong coding ability.
- Proven track record of enhancing team productivity and effectiveness through a KPI-driven approach.
- Strong architectural skills, actively driving architectural decision-making within the team.
- You are passionate about the craft of software development and constantly work to improve your knowledge and skills
- Excellent verbal and written English communication skills
It’s Great If You Have
- Experience with Scrum/Agile development methodologies
- Experience building large-scale distributed products
- Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
- Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library
#india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
We are looking for a Lead – Data, RevOps to drive data-backed decision-making across our GTM and Revenue Operations teams.
This role sits at the intersection of data and business and requires someone who comes with a builder mindset to any problem statement thrown at them and scales, maintains and improves these new and existing systems
You will work closely with the growth team leadership and cross-functional teams to ensure that data is insightful, accurate, accessible, and actionable.
Roles & Responsibilities
- Own and manage business-critical data across Revenue, Operations, and GTM functions
- Design and build dashboards and reports using BI tools (e.g., Power BI) to enable real-time visibility into key metrics
- Analyze business performance across pipeline, revenue, and operational metrics to generate actionable insights
- Partner with cross-functional teams (Sales, Marketing, Customer Success, Finance) to support data-driven decision making
- Translate business problems into structured data analysis and scalable reporting solutions
- Automate recurring reporting and workflows using tools like Excel, SQL, and Python to improve efficiency
- Develop and maintain data models and ensure consistency across reporting systems
- Identify gaps in processes and recommend data-backed improvements to enhance operational efficiency
- Support planning and forecasting through data analysis and performance tracking
- Ensure data accuracy, hygiene, and governance across systems and dashboards
- Contribute to building scalable data infrastructure and improving accessibility of insights across teams
- Present insights and recommendations clearly to stakeholders, including leadership
- Lead and manage a team of data analysts, market research, and sales ops ICs
What We’re Looking For
Experience
- 4 - 8 years of experience in Data Analytics, Business Analytics, or Revenue Operations
- Prior experience working with Sales / GTM / Revenue teams is preferred
- Experience is leading a team of analysts is preferred
Technical Skills
- Strong proficiency in SQL
- Hands-on experience with Power BI (or similar BI tools) – Advanced level
- Strong working knowledge of Excel / Google Sheets
- Experience with Python for automation and data processing (preferred)
- Familiarity with data warehouses (e.g., BigQuery, Snowflake, Redshift)
Business & Analytical Skills
- Strong understanding of business metrics across pipeline, revenue, and operations
- Ability to convert ambiguous business problems into structured analysis
- Strong problem-solving and analytical thinking
Soft Skills & Mindset
- High ownership and accountability
- Ability to work in a fast-paced, cross-functional environment
- Strong communication skills, with the ability to work with senior stakeholders
Good to Have
- Experience in B2B SaaS or high-growth startup environments
- Exposure to CRM tools (e.g., HubSpot, Salesforce)
- Experience working on performance tracking, forecasting, or incentive reporting
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Summary and Impact
As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:
- Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
- Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
- Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
- Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
- Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
- Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
- Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
- Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.
Skills and Experience:
If this opportunity looks right for you, we are looking for candidates who have:
- Bachelor’s degree in computer science, Information Technology, Engineering or related field.
- 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
- Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
- Proficiency in SQL, Excel, and Python/R
- Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
- Experience in a commerce media or digital marketing agency is a plus.
- Excellent problem-solving, communication, and project management skills.
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaAnalyst-Data Management and BI
Share this job
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Summary and Impact
As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for an Analyst, based out of Gurgaon / Bangalore who will:
- Deploy data collectors in Adverity to gather data from media, agency system, and other sources
- Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution
- Support the translation of user requirements and business needs into technical specifications
- Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
- Monitor automated jobs, troubleshooting data issues as-and-when they arise
- Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
- Serve as a technical and professional leader for junior staff
- Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
- Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
- Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.
Skills and Experience:
Required
- Bachelor degree in Science or Engineering
- 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data
- Professional experience with Python, ETL Development, SQL and DBT
- Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
- Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
- Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
- An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
- Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability
Desirable
- Previous experience working with data and technology
- Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.
- An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
- Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
- Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP Media
Senior Planner - Forecasting, WFM (Kuala Lumpur, Gurgaon, Pune Based - Relocation Provided)
Share this job
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
About Agoda
Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
Get to Know our Team:
The Customer Experience Group of Agoda effectively serves our customers and partners to ensure satisfying results. This great task is accomplished with the support of our Global Service Vertical team. We serve as the backbone for Customer Experience Group’s global operations. Our team is comprised of project managers, process owners, analysts, and talent management. Together we work nonstop to improve the quality and efficiency of our customer and partner support processes. Working with the Global Service Vertical team is a great opportunity to collaborate with various stakeholders and develop initiatives with our sister companies and external partners all over the world. We are a very data-driven environment, eager to move fast and learn through experimentation. A clear focus on supporting our customers and partners is bolstered by a strong, entrepreneurial culture that enriches us and Agoda’s business performance.
The Opportunity:
We are looking for a WFM Senior Planner - Forecasting to support our growing CEG team. You will help manage workforce planning & forecasting , ensure strategic goals are met through forecast modeling, collaborative planning, and effective communication with various teams within CEG and other departments.
You also need to have good story telling abilities to be able to explain and drive conversations with senior leaders within CEG.
ACTIVITIES PERFORMED ON THE JOB:
- Lead Planning and forecasting for one product in CEG which could include HC Forecast, Attrition forecast, BPO forecast, etc.
- Develop forecasting models to predict voice contact volume and key call statistics, email volume, chat/messaging, and future additional channels.
- Analyze contact volume, handle time data from multiple point of views to understand and explain the potential gaps and next steps. (SQL expertise may be needed)
- Communicate proactive adjustments to the workforce plan based on changing/dynamic forecasts and re-forecast when necessary.
- Work with Analytics team to drive dashboarding, gap analysis, etc. to ensure WFM dashboards are always error free.
- Collaborate with other departments, team managers, and operations leaders to identify opportunities for improvement of resource utilization.
- Communicate and recommend actions related to forecasting and resource planning to CEG leadership team.
- Collaboration with wider WFM team and WFM Leadership team by providing input on decisions or updates and be open and constructive about what is not working well and how the group can improve.
EXPECTATIONS - BEHAVIORS AND VALUES
|
Behavior |
Definition |
|
Continuous improvement |
Regularly identifies improvement opportunities, quantifies them, and follows through to measurable/demonstratable outcomes. Embraces both successes and failures to learn and maximize the benefit. |
|
Deliver better together |
Collaborates and engages with colleagues and broader Agoda teams to share ideas and learning and work together toward shared ambitions. |
|
Enable others` success |
Is committed to building and nurturing a culture of frequent feedback, coaching and career development. |
COMPETENCIES REQUIRED
|
Analytical Ability & Problem Solving |
Can visualize, articulate, conceptualize, or solve both complex and uncomplicated problems using the available data. |
|
Decision making ability |
Set a course of action purposely chosen from different alternatives to achieve company objectives. |
|
Effective communication (Verbal and written) |
Delivers, receives, and interprets ideas and information, presents information appropriately to a diverse range of audiences, and influences partner decisions Excel/Power Point Skills |
|
Flexibility and Agility |
Can adjust behavior to new information and changing circumstances. Be open to new ways of doing things and always experiment with new methods. Works effectively in a dynamic environment. |
|
KPI management |
Create and execute a KPI plan designed to help achieve and evaluate the success in reaching the company goals. |
|
Listening and influencing |
Practices attentive and active listening. Can influence strategies that persuade key stakeholders to take action that will promote shared interests and business goals. |
|
Process Improvement |
Organize, evaluate, plan, and implement improvements in our internal and external processes and practices. Actively work on creating better processes once changes take place. |
|
Reporting |
Be able to confidently give a written account of business metrics, projects and team performance based on data, observations, or investigations. |
|
Result driven |
Driving high standards to accomplish challenging goals. Works hard to achieve them. |
|
Time / workload management & prioritization |
Creating a work environment where tasks and responsibilities are accomplished successfully within the time available. |
|
Operational Planning & Coordination |
Create and execute a detailed plan with the aim to provide a clear vision on how the team, department will contribute to the achievement of the company’s strategic goals |
|
Presentation |
Clearly conveys information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message. |
It’s Great If You Have:
- Strong Excel and SQL skills.
- Experience in Python or R is good to have.
- Understanding of data visualization tools like Tableau.
We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available.
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
Senior Associate WFM Manager - Forecasting (Kuala Lumpur, Gurgaon, Pune Based)
Share this job
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
About Agoda
Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
Get to Know our Team:
The Customer Experience Group of Agoda effectively serves our customers and partners to ensure satisfying results. This great task is accomplished with the support of our Global Service Vertical team. We serve as the backbone for Customer Experience Group’s global operations. Our team is comprised of project managers, process owners, analysts, and talent management. Together we work nonstop to improve the quality and efficiency of our customer and partner support processes. Working with the Global Service Vertical team is a great opportunity to collaborate with various stakeholders and develop initiatives with our sister companies and external partners all over the world. We are in a very data-driven environment, eager to move fast and learn through experimentation. A clear focus on supporting our customers and partners is bolstered by a strong, entrepreneurial culture that enriches us and Agoda’s business performance.
The Opportunity:
We are looking for a WFM Senior Associate Manager to support our growing CEG team. You will help manage the long-term forecasting, ensure strategic goals are met through forecast modeling, collaborative planning, and effective communication with various teams within CEG and other departments.
You also need to have good story telling abilities to be able to explain and drive conversations with senior leaders within CEG.
ACTIVITIES PERFORMED ON THE JOB:
- Lead Planning and forecasting for one or more products in CEG and manage end-to-end interactions with Senior leadership, Operations, Finance, etc.
- Lead/participate in workforce management-related projects with various teams within and outside CEG.
- Develop forecasting models to predict voice contact volume and key call statistics, email volume, chat/Messaging, and future additional channels.
- Review & communicate necessary real-time and proactive adjustments to the workforce plan based on changing/dynamic forecasts and re-forecast when necessary.
- Collaborate with other departments, team managers, and operations leaders to identify opportunities for improvement of resource utilization.
- Communicate and recommend actions related to forecasting and resource planning to CEG leadership team.
- Collaboration with wider WFM team and WFM Leadership team by providing input on decisions or updates and be open and constructive about what is not working well and how the group can improve.
EXPECTATIONS - BEHAVIORS AND VALUES
|
Behavior |
Definition |
|
Continuous improvement |
Regularly identifies improvement opportunities, quantify them, and follows through to measurable/demonstratable outcomes. Embraces both successes and failures to learn and maximize the benefit. |
|
Deliver better together |
Collaborates and engages with colleagues and broader Agoda teams to share ideas and learning and work together toward shared ambitions. |
|
Enable others` success |
Is committed to building and nurturing a culture of frequent feedback, coaching and career development. |
COMPETENCIES REQUIRED
|
Analytical Ability & Problem Solving |
Can visualize, articulate, conceptualize, or solve both complex and uncomplicated problems using the available data. |
|
Decision making ability |
Set a course of action purposely chosen from different alternatives to achieve company objectives. |
|
Effective communication (Verbal and written) |
Delivers, receives, and interprets ideas and information, presents information appropriately to a diverse range of audiences, and influences partner decisions Excel/Power Point Skills |
|
Flexibility and Agility |
Can adjust behavior to new information and changing circumstances. Be open to new ways of doing things and always experiment with new methods. Works effectively in a dynamic environment. |
|
KPI management |
Create and execute a KPI plan designed to help achieve and evaluate the success in reaching the company goals. |
|
Listening and influencing |
Practices attentive and active listening. Can influence strategies that persuade key stakeholders to take action that will promote shared interests and business goals. |
|
Process Improvement |
Organize, evaluate, plan, and implement improvements in our internal and external processes and practices. Actively work on creating better processes once changes take place. |
|
Reporting |
Be able to confidently give a written account of business metrics, projects and team performance based on data, observations, or investigations. |
|
Result driven |
Driving high standards to accomplish challenging goals. Works hard to achieve them. |
|
Time / workload management & prioritization |
Creating a work environment where tasks and responsibilities are accomplished successfully within the time available. |
|
Coaching |
Support and develop team members to achieve a specific personal and professional goal by guiding and training. |
|
Operational Planning & Coordination |
Create and execute a detailed plan with the aim to provide a clear vision on how the team, department will contribute to the achievement of the company’s strategic goals |
|
Presentation |
Clearly conveys information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message. |
It’s Great If You Have:
- Strong Excel skills and beginner SQL skills.
- Experience in Python or R is good to have.
- Understanding of data visualization tools like Tableau.
We welcome both local and international applications for this role.
New hires will be based in Kuala Lumpur, Pune or Gurgaon Only. Full visa sponsorship and relocation assistance available.
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
Data Analyst - Advanced Analytics
Share this job
ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.
ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.
ClearView’s Data & Analytics practice is looking for motivated individuals to join our team as Data Analysts to accelerate the continued growth of our capabilities. Members of the data team work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analysts will leverage common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support ClearView’s clients.
Responsibilities:
As a Data Analyst, you will interact with internal and external teams to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will:
- Collect, clean, mine, and analyze data.
- Serve as a knowledge resource for the consulting staff regarding statistics, machine learning, and life sciences data.
- Design and create advanced models to drive analytically driven strategy projects.
- Innovate project approaches and identify new life sciences problems to solve with analytics.
- Aid in team building by making code scalable through templates, macros, or interfaces.
- Clearly communicate analytical techniques and findings from analyses in a non-technical manner.
- Work in a high-performance, strongly collegial, and collaborative environment.
Requirements
The successful candidate for the Data Analyst role must have the following skills and experience:
- Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field.
- Relevant experience of 1-3 years working on insurance claims and EHR databases – IQVIA (LAAD), Komodo (Sentinel), Forian, Compile and others.
- Experience with large data manipulation in SAS or SQL interfaces.
- Experience with life science APIs & public datasets (e.g., PubMed, OpenTrials, CMS, CDC, etc.).
- Experience in at least one of the following areas:
- Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions).
- Common machine learning models (e.g., neural networks, support vector machines, decision trees).
- Advanced regression models (e.g., Bayesian, hierarchical, non-linear).
- Unsupervised learning.
- Advanced time series.
- Detail-oriented with the ability to dive deep into business processes, data, and analytics.
- Independent, creative, and driven quantitative thinker.
- Role is based out of our Gurgaon, India office.
What We Value
We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration.
Equal Opportunity Employer
ClearView Healthcare Partners ("CV") is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Ready to apply?
Apply to ClearView Healthcare Partners
Application Reliability Engineer
Share this job
Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a skilled Application Reliability Engineer to be the first line of defense for ensuring the reliability, availability, and performance of our databases, services, and trading support systems. You’ll not only monitor, troubleshoot, and resolve production issues, but also build automation, improve observability, and drive long-term stability of mission-critical systems. You’ll work closely with developers, traders, and infrastructure teams to triage issues, manage deployments, and continuously improve operational workflows.
The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence.
As a Application Reliability Engineer, you will be responsible for:
- Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime.
- Monitor trading systems and infrastructure.
- Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability.
- Serve as the first line of defense for trading operations.
- Proactively identify, address recurring issues, and build automation to reduce manual intervention.
- Improve observability by enhancing monitoring, logging, and alerting systems.
- Develop and maintain operational runbooks and SLO/SLA metrics.
Requirements :
- Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science
- Upto 2 years of experience in Python, Shell/Bash scripting.
Experience with Linux and shell online tools
- Hands-on experience with databases (SQL, NoSQL)
- Strong problem-solving and analytical skills
- Excellent communication skills
- Ability to remain calm and analytical under production pressure
Good to have:
- Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.)
- Familiarity with distributed messaging (Kafka) and caching systems (Redis)
- Experience with CI/CD pipelines and deployment automation
- Prior experience in a support, SRE, or production engineering role
Ready to apply?
Apply to Graviton Research Capital LLP
Senior Quantitative Trader
Share this job
Description:
Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Gurgaon. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products.
As a Senior Quantitative Trader your responsibilities will include
- Develop and deploy completely automated systematic strategies with short holding periods and high turnover
- Typical strategies deployed include Alpha-seeking strategies and Market Making
- Rigorously back-test strategies on in-house research infrastructure
Graviton can offer a successful Quantitative Trader
- Exceptional financial rewards
- Friendly and collegial working environment
- Access to advanced trading systems for low-latency execution of strateiges
- Excitement of being a part of a new expanding trading business
Requirements :
- Deep experience in HF/UHF Trading
- Live HF Trading experience for at least 2 years.
- PnL Track record with excellent sharpe ratios.
- Programming experience in C++ or C
- Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data
- Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science
Benefits:
Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- 4 Weeks of paid vacation
- Monthly after work parties
- Catered breakfast and lunch
- Fully stocked kitchen
- Gym membership
- International team outing
Ready to apply?
Apply to Graviton Research Capital LLP
Software Engineer (C++)
Share this job
Description:
Graviton Research Capital LLP, Gurgaon is looking to hire Software Engineers for our Core Technology team which has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day.
As a Senior Software Engineer with Graviton your responsibilities will include:
- Designing and implementing a high-frequency automated trading system, that trades on multiple exchanges
- Building live reporting and administration tools for the trading system
- Performance optimization and improving the overall latency of systems, through algorithm research and using cutting edge tools and techniques
- End-to-end ownership of modules, including designing, development, deployment and support
- Growing the team through involvement in the regular hiring process and occasional campus recruitments
Requirements :
The ideal requirements for our candidates are:
- A degree in Computer Science
- 3-5 yrs Experience with C/C++ and object-oriented programming
- Experience in HFT industry
- Expertise in algorithms and data structures
- Excellent problem solving skills
- Strong communication skills
- A working knowledge of Linux systems
Any of the following is a plus:
- A good understanding of TCP/IP and Ethernet
- Knowledge of any other programming language e.g. Java, Scala, Python, bash, Lisp, etc.
- Familiarity with parallel programming models and parallel algorithms
- Experience with big data environments e.g. Hadoop, Spark etc.
Benefits:
Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- Annual international team outing
- Fully covered commuting expenses
- Best-in-class health insurance
- Delightful catered breakfasts and lunches
- A well-stocked kitchen
- 4 week annual leaves along with market holidays
- Gym and sports club memberships
- Regular social events and clubs
- After work parties
Ready to apply?
Apply to Graviton Research Capital LLP
Software Engineer- Python
Share this job
About the Role
We are looking for a skilled and detail-oriented Python Developer to join our team. In this role, you will focus on writing efficient scripts, analyzing complex data, and delivering actionable insights through clear and accurate visualizations. The ideal candidate will be a fast learner with a strong foundation in software development principles and a passion for solving challenging problems.
Key Responsibilities
- Design and develop efficient Python scripts for data analysis and automation.
- Build accurate and insightful data visualizations to support decision-making.
- Implement and maintain alerting tools to monitor data workflows and systems.
- Collaborate with cross-functional teams to gather requirements and deliver solutions.
- Apply strong knowledge of data structures, algorithms, and OOP concepts to write performant, maintainable code.
- Continuously optimize and improve data processing pipelines for scalability and performance.
Key Requirements
- Experience: 2–5 years as a Software Engineer or Python Developer.
- Strong proficiency in Python with the ability to quickly learn new frameworks and libraries.
- Hands-on experience with SQL for querying and data manipulation.
- Experience with data visualization/plotting tools (e.g., Matplotlib, Seaborn, Plotly).
- Familiarity with alerting and monitoring tools.
- Solid understanding of data structures, algorithms, and OOP concepts.
- Excellent problem-solving skills, analytical thinking, and attention to detail.
Benefits:
Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- 6 weeks of paid vacation
- Monthly after work parties
- Catered breakfast and lunch
- Fully stocked kitchen
- International team outing
Ready to apply?
Apply to Graviton Research Capital LLP
Software Engineer
Share this job
Description:
Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Software Engineer for our team in Gurgaon. Our Core Technology team has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day.
Requirements
- Contribute to all layers of backend systems including databases, APIs and applications
- Design, build and maintain applications for business requirements
- Architect scalable and reliable applications
- Write clean and modular code, following good coding standards and practices
- Troubleshoot and debug applications
- Be involved in the entire application lifecycle
- Collaborate with multidisciplinary team of front-end developers, engineers and system administrators
- Devise innovative solutions to address new and complicated challenges
- Build reusable code and libraries for future use
- Take lead on projects, as needed
- Work in a high paced competitive environment
Qualifications
The ideal candidate will have:
- Engineering degree in Computer Science (preferred) or any other discipline from a Tier 1 college.
- 3 to 4 years of relevant experience in designing and improving information systems
- Proficiency in Python programming
- Extensive experience working with relational databases and handling large datasets
- Good Understanding of object oriented and asynchronous programming
- Familiarity with front-end languages such as HTML, JavaScript and CSS
- Knowledge of Linux systems and bash scripting
- Good communication and interpersonal skills
- Willingness to continuously learn and improve
- Ability to work in fast paced environment under pressure and manage multiple high priority projects
Good to have:
- Experience in Financial services space/domain
- Experience in and understanding of system design decisions
- Experience in leading small teams or projects
Benefits:
Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- 4 weeks of paid vacation
- Monthly after work parties
- Catered breakfast and lunch
- Fully stocked kitchen
- International team outing
Ready to apply?
Apply to Graviton Research Capital LLP
HPC Engineer
Share this job
Responsibilities
- Experience in High-Performance Computing with extensive practical hands-on experience in deploying High-Performance Clusters
- Have experience with cluster management Tools
- Worked on Parallel Filesystem Environments - Optional
- Exposure to multiprocessor and multithreading concepts
- Experienced with Operating Systems: Linux.
- Testing, User Support and Troubleshooting, RTA of issues.
The ideal candidate will have 2-3 years of experience with
- Degree in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience in HPC field.
- Proficient in programming skills in Python/Bash
- Good understanding and exposure to the Linux operating system at the user level.
- Experience with large-scale distributed HPC systems
- Understanding of large-scale batch processing systems(PBS Pro/Torque/Slurm); approaches to efficient scheduling;
- Preferred HPC system monitoring and automation tools.
Benefits:
Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- Annual international team outing
- Fully covered commuting expenses
- Best-in-class health insurance
- Delightful catered breakfasts and lunches
- A well-stocked kitchen
- 4 week annual leaves along with market holidays
- Gym and sports club memberships
- Regular social events and clubs
- After work parties
Ready to apply?
Apply to Graviton Research Capital LLP
Manager-Analytics
Share this job
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Summary and Impact
The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction
The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.
WHAT YOU WILL DO
- Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
- Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
- Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
- Recommend and develop technical solutions with guidance from senior leadership.
- Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
- Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
- Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
- Collaborate with regional leadership on process development, improvement, and compliance.
- Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
- Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
- Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
- Ensure continuous collaboration and progression across bands, disciplines, and offices.
Skills and Experience
- 3–6 years of relevant industry experience in analytics-focused roles.
- Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
- Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
- Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
- Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
- Practical understanding of data science techniques, statistical analysis, and modelling.
- Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
- Ability to transform raw data into actionable business insights for decision-making and strategic planning.
- Strong logical thinking, problem-solving, and stakeholder management skills.
- Excellent verbal and written communication skills.
- Adherence to quality standards and ability to plan and prioritize work.
- Experience using or building reports with business intelligence tools is a plus.
- Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
- Business acumen to provide actionable strategic recommendations is preferred
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaFullstack Software Engineer (PHP + CI/CD)
Share this job
Location Preference: Gurgaon, India
This is an in office position 5 days a week.
About Us:
Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.
The Role:
As a Software Developer, you will work within a supportive team in an agile, continuous delivery organization. You will collaborate with designers and engineers to help deliver product capabilities and features to our groundbreaking cloud-based mobile product.
Sauce Labs is looking for a team player who demonstrates strong ownership and emerging leadership qualities in a strategic component. This could be you, specifically, if you have strong hands-on PHP experience and are comfortable developing in multiple languages, delivering features that span web, backend, and mobile. As a key member of the team, you will work directly with business and engineering leadership across Sauce Labs and with engineers from other leading tech companies.
Responsibilities:
- Be a proactive team player, eager to explore the unknown, and solve complex problems.
- You'll work closely with development and product management teams to actively contribute to defining user story acceptance criteria, breaking down complex stories into manageable tasks, providing estimates, planning, and ultimately delivering results.
- Contribute to the technical design process by participating in the analysis of technical application requirements.
- Working as part of an agile development team, developing new features of our product with quality and efficiency.
- Design, build, maintain, and actively participate in code reviews for high-traffic, scalable services.
- Take End-to-End ownership of your deliverables, including crafting technical specs, writing readable and extensible code, runbooks, and post-release metrics.
- You will start contributing to the engineering strategy and development, as well as the operation and maintenance of our product.
- Interacting with architects, UX, and Ops, and participating in planning, design, and review meetings.
- Collaborating with cross-functional team members on all aspects of development and process.
- Providing end-user support.
- Other duties as assigned by the company’s needs.
Required Skills:
- 4+ years of professional software development experience.
- Creative problem solver with a willingness to learn & grow.
- Strong experience in PHP (8.x +) development, working with complex integration API, including user management and billing type APIs.
- Understanding design patterns and OOP principles.
- Proficient in working in an AWS/GCP environment.
- Comfortable working with Linux command tools and Apache HTTPD.
- An asset to have Bash, Python, or other scripting language experience.
- Exposure to CI/CD pipelines, including GitHub Actions and/or GitLab CI.
- Experience with DevOps practices and tools, including Ansible and Terraform
- You are self-motivated & take ownership of your work (both independently & with peers).
- Experience in web development using Typescript + React/Angular is an asset.
Nice to Have:
- Mobile development experience.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employee and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
Ready to apply?
Apply to Sauce Labs Inc.Senior Data Engineer
Share this job
Location: Gurgaon, India
About Us:
Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.
The Role:
We are seeking a highly skilled and motivated Senior Data Engineer to join our global team. As a Senior Data Engineer, you will design, build, and maintain the systems and infrastructure that enable efficient data collection, processing, and analysis. Your work will empower the organization to make data-driven decisions and support advanced analytics and machine learning initiatives.
Responsibilities:
- Design, develop, and maintain robust and scalable data pipelines to extract, transform, and load (ETL/ELT) data from various sources.
- Integrate data from a variety of formats and sources, including APIs, cloud platforms, and on-premise databases.
- Optimize data workflows and processing for performance and reliability.
- Work closely with the AI & data analytics teams to understand data requirements and deliver tailored solutions.
- Collaborate with other engineering teams to design and optimize data architectures, ensuring data availability and consistency across the organization.
- Ensure data quality, integrity, and compliance with organizational and regulatory standards.
- Develop and enforce data governance policies and procedures.
- Monitor and optimize the performance of data infrastructure and pipelines.
- Document data engineering processes, workflows, and infrastructure for transparency and maintainability.
Required Skills:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.
- 5+ years of experience working as a data engineer or a similar role.
- Strong knowledge of data modeling and schema design.
- Proficient in SQL and some programming languages such as Python.
- Strong working knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery).
- Hands-on experience with ETL/ELT tools and workflows.
- Familiarity with cloud platforms (Google Cloud, AWS, Azure) and their data-related services.
- Knowledge of orchestration / data processing tools (Airflow, dbt).
- Ability to troubleshoot data-related issues and identify root causes.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
- Experience with big data tools and platforms (e.g. Kafka, Spark) is a plus
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment with multiple stakeholders.
This position is required to be in the office 5 days a week.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
Ready to apply?
Apply to Sauce Labs Inc.Android Platform Engineer
Share this job
About Us:
Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.
The Role:
The Virtual Android team is a new core team in our Virtual Device Infrastructure product line. It is responsible for ensuring that our infrastructure can scale to the ever increasing customer demand, automating operations and leading innovation through research and development around emulation and virtualization.
As a core team member, your role will evolve around system design, development, product maturity, and scalability. This dynamic, nascent space means varied daily tasks, from debugging and coding to automating system image production, offering significant learning. You'll also collaborate with Product on features, roadmap planning, and cross-functional teams.
As a System automation engineer you will:
- Optimize our Android Emulator release pipeline.
- Help improve the infrastructure stability and reliability.
- Optimize resource allocation around Android emulators.
- Implement testing scripts and monitor critical product metrics for regressions.
- Resolve production issues swiftly.
- Own backend services and help modernizing them.
- Automate manual tasks and help the team accelerate.
Responsibilities:
- Solve infrastructure scalability issues
- Optimize our X86 Android emulator offering
- Design and implement a cost effective ARM Android emulator solution
- Automate our AVD release cycle while improving confidence through testing
- Apply monitoring tools and methodologies for high observability standards to reduce MTTR.
- Expose and maintain metrics to ensure data driven decision making.
- Own the solution end to end, from planning, designing, testing, implementing to monitoring.
Required Skills:
- 5+ years of Software Development experience
- Experience with the Android OS and tools (adb, AOSP, build-tools, repo, make, gradle) AND/OR
- SysAdmin experience, analyzing system-wide functional and performance regressions, tracing and profiling applications. Familiarity with OS and file system-level tools; profilers (perf, pprof), debuggers (gdb, lldb), tracers (ptrace, linux bpf, dtrace)
- Experience with Android emulators (Goldfish, Cuttlefish)
- Experience coding in Python, Golang or any other scripting language
Additional Skills:
- Experience setting up CI systems (Jenkins, TravisCI, CircleCI, etc)
- Being comfortable with Android app development
- Experience with cloud infrastructure (AWS, GCE or Azure)
- Skills in automating build processes and system provisioning using Bash, Ansible, Terraform, Packer or similar technologies
- Expertise in KVM, QEMU or other virtualization platforms
- Kubernetes, docker and LXC experience
This position is required to be in office 5 days per week.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
Ready to apply?
Apply to Sauce Labs Inc.
Data Engineer
Share this job
ABOUT VAYNERX
VaynerX (https://vaynerx.com) is the most contemporary family of companies, working together to build and grow brands. Subsidiaries include VaynerMedia, Eva Nosidam Productions, The Sasha Group, Gallery Media Group, Tingley Lane Trading, VaynerSpeakers, and VaynerCommerce.
VaynerMedia is a global integrated creative and media agency, built for today's consumers. As the Modern Agency of Record, it understands the nuances of today's attention landscape, empowering brands to win attention, drive relevance, and deliver business results. Founded in 2009, by Gary Vaynerchuk, the independently owned agency operates in 15 offices worldwide, including Amsterdam, Bangkok, Chicago, New Delhi, Kuala Lumpur, London, Los Angeles, Mexico City, Miami, New York, Tokyo, Toronto, Singapore, and Sydney. VaynerMedia is part of the VaynerX family of companies.
Culture is our key and Empathy is how we build it. VaynerMedia APAC is strong with a world-class combination of diverse backgrounds collaborating to put forward innovative, creative and strategic solutions to the one advantage that stands the test of time --- PEOPLE.
The PITCH
We are seeking a passionate and driven Data Engineer to help build a next-generation data and measurement platform that powers advanced data solutions for our Fortune 500 clients and internal teams.
As a member of the Data Infrastructure and Visualization team within our Analytics discipline, you will be a key contributor in designing, building, and scaling the reporting and analytics infrastructure that is the backbone for all VaynerMedia clients. In this role, you’ll collaborate closely with internal stakeholders, analysts, and data scientists, while partnering with fellow data engineers to architect and implement robust cloud-based data solutions.
We’re looking for a technically proficient Data Engineer with a strong background in cloud infrastructure and a keen interest in delivering scalable, high-performance data systems that enable actionable insights and strategic decision-making.
Here’s where you come in.
- Develop & implement ETL/ELT solutions leveraging cloud based architecture. Design the ingestion layer and data transformation and normalization to optimize querying performance and reporting outputs
- Debug production issues across our organizations cloud infrastructure
- Highly experienced with SQL scripting language to maintain and troubleshoot queries and processes within cloud based data warehouse
- Expertise in python to help develop and maintain workflows that enhance data automation, data hygiene, and enable efficient connections to 3rd party platforms for data retrieval and storage on cloud based platforms (aws, snowflake)
- Lead data integration projects with 3rd party solutions, with a focus on increasing process efficiencies in a cost-effective manner
- Partner with the Analytics stakeholders to automate and scale processes that improve data utilization and reporting deliverables
- Understanding & Documenting business requirements & technical specifications related to new data integrations. Design and execute unit testing to help mitigate data discrepancies in support of client reporting
Your Experience
- 3 to 5 years of data engineering experience, particularly in support of cloud based data warehouse
- Strong knowledge of working in Snowflake and AWS (Redshift, Athena, Lambda)
- Expert in hands on Python development
- Expertise in building ETL/ELT pipelines in an cloud based data warehouse
- Experience with 3rd party data ingestions and normalization via APIs, peer-to-peer networks, SFTP, etc
- Well versed with leading requirement gathering sessions across verticals (analytics, media, or finance teams)
- Adapt communication style to relevant audiences (from technical teams to non-technical stakeholders)
- Communicates effectively via emails and in presentations
- Present complex ideas in practical terms to non technical stakeholders
What you should know about VaynerMedia
Think “lab” and not “agency”. We get excited about solving business problems, not creating advertising for the sake of making advertising. Our entrepreneurship DNA runs deep. We’re willing to break rules, try new things, and test hypotheses if it means better understanding our craft. It’s fun!
Our environment (and pace) feels much more like a start-up than most agencies you might be used to. Hopefully that, and the opportunity to collaborate with the talented and enthusiastic crew, work with big brands excites you, as it does us. We can’t wait to meet you.
Ready to apply?
Apply to VaynerMedia LLC
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Profile Summary: A highly skilled and client-focused Client Analytics Manager specialising in delivering insightful measurement and performance analysis for global clients. Proficient in leveraging various data sources and analytical tools to provide strategic recommendations that optimise marketing campaigns and drive business outcomes. Expertise in managing client relationships, translating complex data into clear, actionable insights, and ensuring the delivery of best-in-class analytical support for high-value accounts.
Key Skills:
- Strong analytical and quantitative skills with a focus on marketing performance, business impact, and client strategy.
- Proficiency in interpreting measurement data from various vendors to provide strategic insights.
- Experience with data visualisation tools (e.g., Tableau, Power BI) and advanced Excel for reporting and analysis.
- Familiarity with advertising platforms like DV360 and The Trade Desk, enabling effective understanding of campaign data and optimisation opportunities.
- Ability to translate complex data analysis into clear, concise, and actionable recommendations for clients and internal stakeholders.
- Excellent communication and presentation skills, with a proven ability to manage client expectations and foster strong relationships.
- Solid understanding of marketing KPIs, campaign optimisation, and measurement methodologies.
- Experience with SQL and/or Python for data extraction and preliminary analysis.
Description:
- Manage and deliver high-quality analytics and measurement projects for a portfolio of global clients
- Analyse campaign performance data, leveraging insights from various measurement vendors to identify opportunities for optimisation and demonstrate ROI.
- Collaborate closely with client teams and internal stakeholders to define analytical objectives and deliver strategic recommendations that align with business goals.
- Develop and present compelling reports and presentations to clients, clearly articulating findings, their business implications, and fostering a data-driven culture.
- Ensure the consistent delivery of best-in-class analytical support, protecting existing revenue streams, maintaining client trust, and enhancing confidence in prop media solutions.
- Provide guidance on measurement strategies and contribute to the evolution of analytical frameworks for key clients.
Education:
- Bachelor's Degree in Marketing, Business Analytics, Statistics, or a related quantitative discipline.
Ideal Certifications:
- Google Analytics Individual Qualification
- Google Ads Certification
- Tableau/Power BI Certification
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
#LI-GOC
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP Media
Staff Machine Learning Engineer (India based, relocation provided)
Share this job
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
Get to Know Our Team
The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
Why Agoda Engineering Team (ML role)?
Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
This role is based in Gurgaon, India.
In this Role, you will get to:
• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
• Build, administer and scale ML processing pipelines.
• Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
• Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
• We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
What You’ll need to Succeed:
• Bachelor’s degree in computer science /information systems/engineering/related field
• 8+ years of experience in software engineering with a minimum of 4+ years in ML
• Good experience in Pyspark
• Expert level understanding of Python with design patterns and object-oriented programming.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles preferred.
• Any other experience with Big Data technologies / tools
• SQL experience
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux
• A strong engineering driven mindset will be required to succeed in this role.
It’s great if you have:
• Good understanding of Hadoop ecosystems
• Experience working with Open-source products
• Experience with Scala development
• Working in an agile environment using test driven methodologies
Benefits
- Hybrid Working Model
- WFH Set Up Allowance
- 30 Days of Remote Working from anywhere globally every year
- Employee discount for accommodation globally
- Global team of 90+ nationalities
- 40+ offices and 25+ countries
- Annual CSR / Volunteer Time off
- Benevity Subscription for employee donations
- Volunteering opportunities globally
- Free Headspace subscription
- Free Odilo & Udemy subscriptions
- Access to Employee Assistance Program (third party for personal and workplace support)
- Enhanced Parental Leave
- Life, TPD & Accident Insurance
#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida
Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Ready to apply?
Apply to Agoda
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Summary and Impact
As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Senior Data Engineer, based out of Gurgaon/Bangalore who will:
- Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
- Implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
- Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
- Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
- Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
- Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
- Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.
Senior-Level Expectations:
- Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
- Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
- Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.
Skills and Experience:
If this opportunity looks right for you, we are looking for candidates who have:
- 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
- Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
- Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.
Good to have-
- Adverity
- Dataflow
- Big Query
- Databricks
- DBT
- Terraform
- Wrike/Jira/Azure DevOps
- DP‑203 / GCP Data Engineer certifications
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaAbout WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Role Summary and Impact
As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:
- Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
- Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
- Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
- Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
- Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
- Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
- Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
- Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.
Skills and Experience:
If this opportunity looks right for you, we are looking for candidates who have:
- Bachelor’s degree in computer science, Information Technology, Engineering or related field.
- 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
- Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
- Proficiency in SQL, Excel, and Python/R
- Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
- Experience in a commerce media or digital marketing agency is a plus.
- Excellent problem-solving, communication, and project management skills.
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaBackend Developer
Share this job
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Skills and Experience:
If this opportunity looks right for you, we are looking for candidates who have:
Essential Criteria
- Proven experience (5+ years) as a Backend Software Developer, with a strong portfolio of projects involving data processing and API development.
- Proficiency in one or more backend programming languages (e.g., Python, Java, Go, Node.js). Python is highly preferred given its prevalence in data science and ML.
- Strong experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Cloud Functions, Cloud Run, App Engine, Pub/Sub, Cloud Storage, and BigQuery.
- Demonstrable experience in designing, building, and maintaining RESTful APIs and microservices.
- Solid understanding of database technologies, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Firestore), and experience with data modelling.
- Experience with data pipeline tools and concepts (e.g., Apache Beam/Dataflow, Airflow) for ETL/ELT processes.
- Familiarity with version control systems (e.g., Git) and agile development methodologies.
- Basic understanding of machine learning concepts and how to integrate ML models into backend systems.
- Basic understanding of the total marketing process and the strategic role of insights and media.
- An appreciation for how data insights are used in various media channels (e.g., paid search, programmatic display, social media, SEO) to inform strategy.
- Excellent problem-solving skills and attention to detail.
- Experience working with off-shore or distributed teams is highly desirable.
- Experience integrating data into Google BigQuery from various sources, including direct API connections and data integration platforms (e.g., Adverity).
- Experience with leveraging AI/ML capabilities within the GCP ecosystem, such as connecting to large language models (e.g., Google's Gemini API) or utilising platforms like Vertex AI to enrich and analyse data stored in BigQuery.
Preferred Criteria
- Experience with stream processing technologies (e.g., Kafka, Pub/Sub).
- Knowledge of containerization technologies (e.g., Docker, Kubernetes).
- Experience with CI/CD pipelines.
- Familiarity with data security and privacy best practices.
- Experience in the media, advertising, or marketing technology (AdTech/MarTech) industry.
- Certifications in relevant cloud technologies.
Life at WPP Media & Benefits:
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day and more.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodation or flexibility, please discuss this with the hiring team during the interview process.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. At WPP Media, we strongly encourage you to apply if you’re interested: we'd love to know how you can positively impact our team with your experience!
As an Equal Opportunities Employer, we believe that diversity is vital and positively influences the environment in which we operate. We are committed to fostering a diverse and inclusive work environment that is free of discrimination, harassment or bullying. Race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status or disability status have no bearing on our hiring decisions, and we encourage all applicants.
We view everyone as an individual and we understand that inclusion is more than just diversity – it’s about belonging. We celebrate the fact that everyone is unique and that’s what makes us so good at what we do. We pride ourselves on being a company that embraces difference and truly represents the global clients we work with.
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaWhoa — hold up
JobsRadar was built for real people having a rough time in their job search — not for automated requests. You're clicking way too fast and you're now temporarily blocked.
Come back later. If you're genuinely job hunting, we've got your back — just act like a human.