Role 

We are looking for a Senior Sales Engineer - Public Sector to join our SE India team. This is a hybrid role based in Gurgaon, reporting to the Senior Manager, Sales Engineering. 

You will join a global group of professionals passionate about driving a secure, cloud-enabled digital future as a leader in cloud security. You will demonstrate the power and agility of cloud transformation by aligning with regional leadership and engineering to deliver strategic solutions that solve complex customer challenges.

What you’ll do (Role Expectations)

• Provide technical thought leadership and advice to enterprise customers on how to transform their digital experience
• Take total ownership of the technical sale and associated processes
• Identify and qualify technical opportunities while developing and maintaining trusted advisor relationships with key customer stakeholders
• Deliver high-impact sales pitches, technical demonstrations, and whiteboard presentations to ensure successful deployments

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree or equivalent combination of education and experience
• Extensive experience as a Sales Engineer or systems integrator within the enterprise space
• Hands-on expertise in installing, configuring, and managing routers, switches, and network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Advanced experience with GPO, Active Directory/LDAP, and SSO/SAML
• Deep technical knowledge of HTTP and web security technologies, including proxies, caches, and firewalls
• Proven ability to install, configure, and manage macOS, UNIX/Linux, and Windows systems in complex environments

#LI-Hybrid

#LI-SP4

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

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

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

We’re looking for a Full Stack Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment. 

You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.

With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.

Responsibilities:

• 3+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.  
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.  
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
• Experience with containerization (Docker) and orchestration (Kubernetes, Helm).  
• Knowledge in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar). 

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

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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.

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. 

Senior Data Engineer

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• 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.

A bit about yourself:

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 SQL, preferably deployed via 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. 

We're seeking a technology-driven and people-focused Platform Director to lead with innovation, adaptability, and a commitment to excellence in a dynamic, complex payment solutions environment.

Responsibilities:

• Build and lead new teams to develop a cutting-edge cross-border payment system, modernize infrastructure to support business growth, and deliver customer-focused solutions.
• Be an integral part of the management team, influencing strategy and decision-making.
• Mentor and grow managers, teams, and engineers while scaling the organization.
• Foster an agile work environment and ensure adoption of agile methodologies.
• Collaborate closely with Product, SRE, DevOps, Data, Operations, and other R& D teams to achieve business goals.
• Design robust technical solutions, evaluate architectural options, and define technical direction and quality standards.
• Promote a culture of innovation and personal development within the organization.
• Take ownership of team growth, recruitment, and development processes.

Requirements:

• A collaborative team player with strong leadership, communication, and interpersonal skills.
• Demonstrated ability to mentor, inspire, and build high-performing engineering teams.
• A passion for managing and growing talent.
• Ambition and a strong eagerness to learn and adapt.
• Strategic thinking with a strong problem-solving and analytical mindset.

What you will need:

• Overall Experience: 18+ years of experience in software engineering, including hands-on development and leadership roles.
• Education: A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
• Leadership: 5+ years of managerial experience, leading large development groups or overseeing R& D in small/medium companies.
• Development: 10+ years as a developer with full-stack experience (e. g., C#, . NET, Java).
• Technical Expertise: Proficiency with REST APIs, Queues, and Microservices architecture.
• Architectural Knowledge: Strong understanding of OOP, design patterns, and system development (not just services).
• Engineering Practices: Expertise in code reviews, test coverage, and agile methodologies.

We’re looking for a Sr Full Stack Software Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment. 

You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.

With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.

Responsibilities:

• 6+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.  
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.  
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
• Hands On Experience with containerization (Docker) and orchestration (Kubernetes, Helm).  
• Experience in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar). 

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.

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 Quality Assurance Engineers. The ideal candidate will be responsible for communicating with the client and Project Managers to figure out project needs, create documents with test case scenarios and perform rigorous testing to ensure the 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.

What You’ll Do

• ​Perform regular quality checks and user acceptance tests for several projects on the supported devices, operating systems and browsers
• Document the issues to provide details for the development team for debugging
• Assist the development team and management with other project-related tasks
• Verify bug fixes once an issue has been resolved
• Review the supported devices and browsers for the platform in order to maintain consistency

Qualifications

• 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
• Testing knowledge or related experience.
• Proficient in Microsoft Word and Excel
• Experience with project collaboration and bug tracking tools such as JIRA
• Knowledge of Windows, OS X, iOS and Android operating systems
• Comfortable using various tablets and cellular devices
• Close attention to details
• Technical degree/background is an asset
• Excellent communication skills in English

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.

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

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.

Tesco Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints. 
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.

We’re looking for a Full Stack Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data-driven environment. 

Responsibilities:

3+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.
Must have C# hands on experience + PHP hands on is highly desired
Strong proficiency in Frontend tech like React.js/Angular and Javascript.  
Strong proficiency in backend programming language, system design, OOP concepts.
Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principle
Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.  
Good to have experience with containerization like Docker
Good to have knowledge in CI/CD automation.



Tesco Media operates at the heart of Tesco, powered by dunnhumby’s data and analytics expertise. While many roles are embedded day‑to‑day in the Tesco and Tesco Media environment, colleagues work across a unique partnership, collaborating closely with Tesco teams, Tesco Media stakeholders and dunnhumby specialists. Success in Tesco Media comes from building strong relationships across all three, bringing together retail scale, media capability and data‑led insight to deliver meaningful outcomes for customers and brands.

Location: Gurugram - India 
Full-time

What You’ll Be Spending Your Time On:

• Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems
• Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams. 
• Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed. 
• Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements. 
• Proactively identify areas of improvement in team systems, processes, and scalability. 
• Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions. 
• Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach. 

Have You Done This Kind of Stuff:

• 4 - 6 years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively. 
• Extensive experience in C# and .Net ecosystem is a mandatory requirement. 
• Hands-on experience in SQL Server and database management 
• Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka). 
• Experience in writing unit test and strong knowledge of design principles, data structures and algorithms. 
• Experience with microservices architecture. 
• Experience in designing new functionality for existing complex components while maintaining scalability and performance. 
• Ability to collaborate effectively and communicate technical concepts to diverse stakeholders. 
• BSc/BE/B.Tech in Computer Science, Software Engineering, or equivalent degree 

Not a Must, but a Great Advantage:

• Practical experience with Agile development methodologies. 
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud). 
• Practical knowledge of non-relational databases (eg. MongoDB) 
• Experience in mentoring new hires and interns, fostering a culture of collaboration and best practices.

#LI-AK1

Role Summary

We’re looking for a Principal Architect who is a tech enthusiast with a drive for excellence and an out-of-the-box mindset to satisfy business needs in a complex payments environment. You will be a key technical leader in our Cloud Modernization initiative while also accelerating how we use AI to improve engineering velocity, reliability, and customer outcomes by enabling safe, governed adoption of GenAI, building agentic systems, and embedding AI-assisted capabilities into our platforms and workflows.

What You’ll Do

· You will introduce AI-enabled capabilities to solve engineering and business problems by identifying high-value use cases, enabling AI adoption and AI-led development practices across teams, and delivering measurable outcomes.

· You will build and ship agentic systems that can plan, execute, and collaborate with humans safely with robust controls, and help build core AI capabilities to scale adoption.

Who You Are

· You also have a strong point of view on practical AI adoption. You can translate real engineering pain points into AI-enabled solutions, select the right patterns and ship systems with strong evaluation, observability, and governance.

Key Skills and Competencies

· Experience in designing and shipping LLM-enabled applications and agentic architectures in production environments, with sound judgment on when not to use agents.

· Experience in responsible AI governance, evaluation, and data safety, including prompt‑injection mitigation, data access controls, secrets handling, policy enforcement, audit logging, offline/online evaluation, observability, red‑teaming, cost/latency monitoring, and safe handling of enterprise and PII data.

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

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. 

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)

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

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

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.

Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.

We are seeking a talented Lead Engineer with .NET expertise to lead development of a product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.

As a Lead Engineer, you will play a pivotal role in designing and delivering high-quality software solutions.

You will be responsible for contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.

What will you be doing?

You will design and deliver .NET Core solutions within microservices architecture, ensuring adherence to compliance, security, and quality standards. Implement best practices in coding, CI/CD, and DevOps while balancing delivery timelines with technical excellence. Conduct regular performance reviews, provide actionable feedback, and drive innovation through continuous improvement and process enhancements. Focus on improving developer productivity and coaching junior team members to achieve their full potential. You will collaborate with product managers and architects to define technical roadmaps.

What would you need to be successful in the role?

• Experience 9+years
• Proven experience leading technical teams and delivering complex projects.
• Strong understanding of object-oriented programming, data structures, and algorithms.
• Possess strong technical expertise in C#, .NET Core and experience building RESTful APIs with a deep understanding of design patterns, SOLID principles, system design, and engineering best practices.
• Strong experience designing distributed systems using microservices and event-driven architecture
• Familiar with microservices and event-driven architecture using tools like RabbitMQ , Google Pub/Sub and Kafka, as well as containerization technologies such as Docker and Kubernetes.
• Hands-on experience with:
  
  • Docker and Kubernetes (K8s)
  • Cloud platforms (GCP / Azure / AWS)
  • Relational databases (Postgres preferred) and analytical databases (BigQuery preferred)
  • Testing Framework (Xunit / NUnit/ Cypress)
  .

• Experienced in using DevOps tools like GitLab CI/CD and leveraging cloud platforms, particularly GCP or Azure, for scalable solutions.
• Additional knowledge of Redis, and Elasticsearch is an advantage
• Demonstrate a deep understanding of distributed systems, cloud-native applications, and Unix/Linux environments, alongside expertise in testing strategies, code quality, and secure coding tools like SonarQube and Checkmarx.
• Proficiency with version control systems like Git
• Adept at utilizing observability tools like New Relic to monitor systems, with solid knowledge of SDLC, Agile methodologies, and strong interpersonal and leadership skills to effectively motivate teams.
• Familiarity with the AdTech or Retail domain is an added advantage
• Work experience preferably in a product company

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.

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.

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

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. 

Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge. 

Key Skills: (Sr Analyst) 

• Upto 3 yrs 

• Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation. 

• Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI. 

• Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models. 

• Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling. 

• Good communication skills, with the ability to articulate findings and support senior team members in presenting insights. 

Description: 

• Assist in the development and implementation of data science algorithms for various strategic initiatives  

• Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations. 

• Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making. 

• Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches. 

• Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact. 

• Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth. 

Education: 

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline. 

Ideal Certifications: 

• Python for Data Science (Coursera) 

• Google Cloud Machine Learning Engineer (Associate) 

Life at WPP Media & Benefits 

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

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

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

#LI-GOC

About 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. 

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• 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.

A bit about yourself:

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.
• 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.

Required Skills

• 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.

#LI-GOC

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: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge.

Key Skills: (Sr Analyst)

• Upto 3 yrs
• Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation.
• Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI.
• Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models.
• Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.
• Good communication skills, with the ability to articulate findings and support senior team members in presenting insights.

Description:

• Assist in the development and implementation of data science algorithms for various strategic initiatives
• Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations.
• Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making.
• Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches.
• Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact.
• Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth.

Education:

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.

Ideal Certifications:

• Python for Data Science (Coursera)
• Google Cloud Machine Learning Engineer (Associate)

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

ArmorCode is on a mission to supercharge security teams with a new independent governance approach to reduce risk and burn down critical security technical debt. With its AI-powered ASPM Platform, driven by over 15 billion findings from over 260 ecosystem integrations, ArmorCode delivers a single, unbiased view of your risk across applications, infrastructure, containers, and cloud. ArmorCode unifies and normalizes findings, correlates them with business context and threat intel through adaptive risk scoring, and orchestrates security workflows to empower users to easily remediate issues. ArmorCode delivers unified visibility, AI-enhanced prioritization, remediation and scalable automation for customers so they can realize a complete understanding of risk, respond at scale, and collaborate more effectively.

Enterprises of all sizes, including dozens of Fortune 1000 companies, scale their security effectiveness by more than 10x and maximize their ROI on existing security investments with ArmorCode through managing Application Security Posture, Risk-Based Vulnerability Management, Software Supply Chain Security, DevSecOps, and Risk & Compliance.‍ 

ArmorCoders believe in 5 core values: Hungry. Humble. Hardworking. Honest. Human. Our organization is powered by exceptional professionals who bring fresh ideas and passion to their roles, believing that nothing is beyond reach when our "5H" principles are applied. In their work and professional relationships, ArmorCoders commit to excellence and experiences that leave an impression.

Job Description

• Participate in the entire application lifecycle, focusing on requirement discussions, design, coding and debugging
• Design, build, and maintain efficient, reusable, and reliable Java code with Spring boot as the framework
• Collaborating with the front-end developers and other team members to establish objectives and design
• more functional, cohesive codes to enhance the user experience
• Gather and address technical and design requirements
• Provide training and support to internal teams, learn new languages as well as follow   emerging technologies
• Taking lead on new initiatives, as needed
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and automatization

Qualifications and Experience requirements

• Desired experience range is 4+ years
• Engineering degree B.E/B.Tech/MCA/M.Tech/M.Sc or any Equivalent Degree
• Proven work experience as a Back-end developer
• In-depth understanding of the entire web development process (design, development and deployment)
• Proficient in Java, with a good knowledge of its ecosystems
• Basic understanding of JVM, its limitations, weaknesses, and workarounds
• Ability to decide when to use relational vs NoSQL databases and must be experienced with at least one of the relational databases
• Familiarity with concepts of MVC, JDBC, and RESTful
• Experience with Spring, Spring Boot, Spring MVC
• Experience in CI/CD and Cloud technologies
• Expertise in developing enterprise-level web applications and RESTful APIs using MicroServices, with demonstrable production-scale experience
• Familiarity with front-end languages (e.g., HTML, JavaScript and CSS)
• Excellent analytical and time management skills
• Teamwork skills with a problem-solving attitude

Why you will love it : 

• Career Growth Opportunities: We believe in promoting from within and provide career progression paths, enabling our employees to advance in their careers
• Work-Life Balance: We understand the importance of a healthy work-life balance, offering flexible hours and remote work options to promote a sustainable lifestyle
• Collaborative Environment: Our company fosters a collaborative and inclusive workplace culture, where employees can collaborate and learn from each other's experiences
• Employee Recognition: We value and recognize the contributions of our team members through awards, employee of the month programs, and other forms of acknowledgment.
• Competitive Compensation: We offer competitive salaries and performance-based bonuses, recognizing and rewarding the hard work and dedication of our team
• Comprehensive Benefits: Our benefits package includes health insurance for employees and dependents, to support the overall well-being of our employees. We encourage learning and skilling, and aid our employees to continuously upskill themselves.
• Diversity and Inclusion: We are committed to diversity and inclusion, striving to create an environment where all employees feel valued, respected, and empowered

Join ArmorCode and lead the charge in reducing signal fatigue, prioritizing risk and streamlining key cybersecurity workflows. Apply today to be part of a close-knit team, dedicated to democratizing software security and helping build the safest software possible.

Equal Opportunity

ArmorCode is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected category. All qualified individuals are encouraged to apply and will receive consideration for employment regardless of their background or characteristics. We are committed to fostering a diverse and inclusive workplace where everyone is treated with respect and dignity.