About Us:

Sauce Labs is the leading provider of continuous test and error reporting solutions that give companies the confidence to develop, deliver and update high quality software at speed.  The Sauce Labs Continuous Testing Cloud identifies quality signals in development and production, accelerating the ability to release and update web and mobile applications that look, function and perform exactly as they should on every browser, operating system and device, every single time.  Sauce Labs is a privately held company funded by TPG and Riverwood Capital.

The Role:

The Mobile Device Infrastructure team is one of the most important core teams in our real device infrastructure product line. It doesn’t only maintain our real device fleet in a healthy state which is essential to our customers, but it also offers services and abstractions used by other teams to interface with the mobile devices fleet in order to elevate the customer experience with added value such as advanced insights and troubleshooting capabilities. Both are embodied in complex and challenging problems that require strong backend skills and a deep understanding of mobile device systems.

As a member of a constantly evolving team, your responsibilities will frequently adapt and grow. However, we ensure consistent context and scope throughout a project's lifecycle. This fosters a work environment that is both focused and enjoyable, offering numerous learning opportunities.

As a Software Engineer you will:

• Contribute to the development and maintenance of mobile agents, backend services, and frontend tools.
• Collaborate on the integration of mobile apps and frameworks into our core infrastructure.
• Interface with mobile OS APIs and protocols (USB/Network) to manage real device connectivity.
• Execute technical tasks that adapt mobile device behavior for lease-based environments.
• Participate in the full development lifecycle, from code implementation to automated testing.

Responsibilities:

• Triage and resolve device-specific issues to maintain high fleet availability.
• Implement optimizations in device allocation and cleanup workflows to improve performance.
• Support system health by participating in code reviews and contributing to design discussions.
• Monitor and report on metrics to help the team make data-driven improvements.
• Ensure operational excellence by managing your own code within CI/CD pipelines and following established best practices.
• Deliver high-quality code that is well-tested and maintainable.

Required Skills:

• Proficiency in Java or Kotlin (Golang experience is a plus).
• Strong debugging skills and a logical approach to problem-solving.
• Familiarity with Linux/Unix environments.
• Foundational knowledge of mobile app development (Android or iOS).
• Effective communication and the ability to work in a collaborative team setting.

Nice to Have:

• Understanding of Android internals (AOSP, adb, or MDM).
• Exposure to Objective-C or Swift.
• Basic experience with Docker or Kubernetes.
• Awareness of infrastructure-as-code concepts (Terraform, Ansible).

This position is required to be in the office 5 days a week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

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

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). 

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.

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.

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). 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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 Java Developer you'll be tasked with working on web application development in Java and Spring Boot. Working within the software development team, your duties will require you to assist in the development and delivery of consumer and enterprise applications. This role is ideal for ambitious developers who feel confident in their technical ability and want to be a part of the highly-skilled development team at Konrad.

What You’ll Do

• Write maintainable, testable, and performant software in collaboration with our world class team.
• Participate in code review and perform extensive testing to ensure we deliver high quality software.
• Research new technology and tools and share those findings with the team.
• Communicate clearly and effectively with all members of our team.

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
• 3+ years experience building and delivering modern production-grade web applications in a team environment, leading teams and projects
• Very strong Java programming skills utilizing Spring Boot or Spring Cloud 
• Front end JS framework experience using React or Angular or similar
• Deep understanding of each of the parts that make up a modern web application (APIs, templating, routing, data storage, design patterns, optimization, caching, security) 
• Fundamental knowledge of core web principals (HTTP, the DOM, SSL, web servers)
• Fluency with relational databases or alternatively NoSQL databases
• Great interpersonal skills - we work very closely together as a team and require a lot of communication.
• A proactive personality, and a desire to deliver your best work.
• A love for improving software development workflows and processes.

Nice to have

• Experience working within cloud environments (AWS, Google Cloud, Azure)
• Experience working with GraphQL, Terraform, CI/CD
• Experience working with Adobe Experience Manager

Perks and Benefits

• Socials, Outings & Retreats
• One day per week Work From Home flexibility
• 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.

About Payoneer 

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers and partners in over 190 countries and territories. 

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. 

Role summary 

We’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 payment solution environment. 

Location: Gurgaon-India 

Hybrid - Full-time 

What You’ll Do 

• You will be a core member of the Cloud Modernization initiative, a high-impact engineering function responsible for transforming our technology backbone into a modern, cloud-native platform. 
• You will operate at the intersection of cloud architecture and enterprise modernization, leading critical initiatives to migrate, modernize, and re-architect legacy platforms into scalable, secure, and highly automated cloud-native systems. 
• You will lead initiatives from a technical front, defining target architectures, establishing modernization patterns, and driving execution across engineering teams. You will design and implement cloud-native solutions, modern infrastructure platforms, and secure cloud environments that can support global-scale workloads. 
• This role operates in a mission-driven model, where you will engage with multiple teams to accelerate modernization, unblock critical initiatives, and establish patterns and platforms that can be adopted broadly across the organization. 
• You will work closely with architecture, platform, infrastructure, security, and product teams to modernize legacy systems, migrate databases and applications to the cloud, introduce modern DevOps and platform engineering practices, and raise the overall cloud maturity of the organization. 
• Your work will directly shape the company’s future cloud platform and engineering velocity. 

Who You Are 

• You are a seasoned Cloud and Modernization Architect with a strong sense of ownership and accountability. You are comfortable operating in complex enterprise environments and driving large-scale transformation initiatives. 
• You bring deep expertise across cloud platforms, infrastructure, databases, and DevOps, and can translate legacy architectures into modern, scalable, and cloud-native systems. 
• You balance long-term architectural vision with pragmatic execution and understand how to modernize systems safely and incrementally. 
• You embrace change and continuously adapt to evolving technologies, architectures, and organizational needs. You are proactive, curious, and comfortable making architectural decisions in ambiguous environments. 
• You thrive in cross-team environments and influence teams through technical leadership, clarity, and strong execution. 
• You are impact-driven, not territory-driven, and measure success by how effectively you modernize systems, enable teams, and improve the organization’s overall cloud maturity. 

Key skills and competencies 

• 10+ years of experience in cloud architecture, infrastructure, or platform engineering 
• Deep hands-on experience with public cloud platforms, preferably AWS 
• Proven experience leading cloud migration and modernization of enterprise systems 
• Strong experience designing cloud architecture including compute, storage, networking, and security 
• Strong experience with Infrastructure as Code, preferably Terraform or CloudFormation 
• Experience with cloud networking, VPC design, private connectivity, and secure architectures 
• Experience with relational databases such as PostgreSQL, MySQL, or Aurora 
• Experience with NoSQL databases such as DynamoDB, MongoDB, or similar 
• Experience with containers and Kubernetes, preferably EKS 
• Experience building and operating CI/CD pipelines and modern DevOps practices 
• Experience modernizing legacy systems into microservices or cloud-native architectures 
• Experience with high availability, scalability, and disaster recovery design 
• Experience working in enterprise environments with strong security and compliance requirements 
• B.S. in computer science or equivalent 

The Payoneer Ways of Working Act as our customer’s partner on the inside 

Learning what they need and creating what will help them go further. 

Continuously improve 

Always striving for a higher standard than our last. 

Do it. Own it. 

Being fearlessly accountable in everything we do. 

Build each other up 

Helping each other grow, as professionals and people. 

If this sounds like a business, a community, and a mission you want to be part of, apply today. 

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis. 

#LI-AK1

Tesco Media is building a world-class, self-serve B2B advertising platform that enables retailers and brands to plan, activate, and measure omnichannel retail media campaigns

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

We are looking for a Engineer- SRE with experience in observability and monitoring who can help us keep our large, distributed systems reliable, fast, and running smoothly.
In this role, you will help improve how we build and maintain reliable systems, strengthen system stability, create automation standards, and guide engineering teams on SRE best practices.

You will work closely with platform, backend, security, and product teams to ensure our services are stable, easy to monitor, and always available. You will use tools like Prometheus, Grafana, Elastic, and New Relic to improve system visibility, manage incidents, and boost overall performance.

Key Responsibilities

• Implement monitoring, logging, and tracing for applications, services, and infrastructure.
• Build dashboards and alerts to monitor system health and performance.
• Support production systems and participate in incident response activities.
• Troubleshoot operational issues using logs, metrics, and system diagnostics.
• Work with engineering teams to onboard services into monitoring platforms.
• Assist in defining alert thresholds and reducing unnecessary alert noise.
• Maintain monitoring configurations and ensure operational documentation is up to date.
• Support post-incident reviews and implement improvements in monitoring coverage.
• Automate routine operational tasks where possible.

Required Experience

• 3–5 years of experience in infrastructure operations, monitoring, or Site Reliability Engineering.
• Experience working with Infrastructure as Code tools such as Terraform.
• Familiarity with cloud platforms such as GCP or Azure.
• Understanding of APIs, service monitoring, and system logs.
• Experience supporting production environments and incident response processes.
• Strong written and verbal communication skills with the ability to collaborate across teams.

Preferred Experience

• Experience with observability tools such as Grafana, Prometheus, Splunk, or New Relic.
  
  
• Experience supporting distributed systems or microservices.
• Exposure to automation or scripting for operational tasks.
• Experience working in Media, SaaS, or streaming environments.

Location Preference: Gurgaon, India

This is an in office position 5 days a week.

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

As a Software Developer, you will work within a supportive team in an agile, continuous delivery organization. You will collaborate with designers and engineers to help deliver product capabilities and features to our groundbreaking cloud-based mobile product.

Sauce Labs is looking for a team player who demonstrates strong ownership and emerging leadership qualities in a strategic component. This could be you, specifically, if you have strong hands-on PHP experience and are comfortable developing in multiple languages, delivering features that span web, backend, and mobile. As a key member of the team, you will work directly with business and engineering leadership across Sauce Labs and with engineers from other leading tech companies.

Responsibilities:

• Be a proactive team player, eager to explore the unknown, and solve complex problems.
• You'll work closely with development and product management teams to actively contribute to defining user story acceptance criteria, breaking down complex stories into manageable tasks, providing estimates, planning, and ultimately delivering results.
• Contribute to the technical design process by participating in the analysis of technical application requirements.
• Working as part of an agile development team, developing new features of our product with quality and efficiency.
• Design, build, maintain, and actively participate in code reviews for high-traffic, scalable services.
• Take End-to-End ownership of your deliverables, including crafting technical specs, writing readable and extensible code, runbooks, and post-release metrics.
• You will start contributing to the engineering strategy and development, as well as the operation and maintenance of our product.
• Interacting with architects, UX, and Ops, and participating in planning, design, and review meetings.
• Collaborating with cross-functional team members on all aspects of development and process.
• Providing end-user support.
• Other duties as assigned by the company’s needs.

Required Skills:

• 4+ years of professional software development experience.
• Creative problem solver with a willingness to learn & grow.
• Strong experience in PHP (8.x +) development, working with complex integration API, including user management and billing type APIs.
• Understanding design patterns and OOP principles.
• Proficient in working in an AWS/GCP environment.
• Comfortable working with Linux command tools and Apache HTTPD.
• An asset to have Bash, Python, or other scripting language experience.
• Exposure to CI/CD pipelines, including GitHub Actions and/or GitLab CI.
• Experience with DevOps practices and tools, including Ansible and Terraform
• You are self-motivated & take ownership of your work (both independently & with peers).
• Experience in web development using Typescript + React/Angular is an asset.

Nice to Have:

• Mobile development experience.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employee and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

The Virtual Android team is a new core team in our Virtual Device Infrastructure product line. It is responsible for ensuring that our infrastructure can scale to the ever increasing customer demand, automating operations and leading innovation through research and development around emulation and virtualization.

As a core team member, your role will evolve around system design, development, product maturity, and scalability. This dynamic, nascent space means varied daily tasks, from debugging and coding to automating system image production, offering significant learning. You'll also collaborate with Product on features, roadmap planning, and cross-functional teams.

As a System automation engineer you will:

• Optimize our Android Emulator release pipeline.
• Help improve the infrastructure stability and reliability.
• Optimize resource allocation around Android emulators.
• Implement testing scripts and monitor critical product metrics for regressions.
• Resolve production issues swiftly.
• Own backend services and help modernizing them.
• Automate manual tasks and help the team accelerate.

Responsibilities:

• Solve infrastructure scalability issues
• Optimize our X86 Android emulator offering
• Design and implement a cost effective ARM Android emulator solution
• Automate our AVD release cycle while improving confidence through testing
• Apply monitoring tools and methodologies for high observability standards to reduce MTTR.
• Expose and maintain metrics to ensure data driven decision making.
• Own the solution end to end, from planning, designing, testing, implementing to monitoring.

Required Skills:

• 5+ years of Software Development experience
• Experience with the Android OS and tools (adb, AOSP, build-tools, repo, make, gradle) AND/OR
• SysAdmin experience, analyzing system-wide functional and performance regressions, tracing and profiling applications. Familiarity with OS and file system-level tools; profilers (perf, pprof), debuggers (gdb, lldb), tracers (ptrace, linux bpf, dtrace)
• Experience with Android emulators (Goldfish, Cuttlefish)
• Experience coding in Python, Golang or any other scripting language

Additional Skills:

• Experience setting up CI systems (Jenkins, TravisCI, CircleCI, etc)
• Being comfortable with Android app development
• Experience with cloud infrastructure (AWS, GCE or Azure)
• Skills in automating build processes and system provisioning using Bash, Ansible, Terraform, Packer or similar technologies
• Expertise in KVM, QEMU or other virtualization platforms
• Kubernetes, docker and LXC experience

This position is required to be in office 5 days per week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

We are looking for a hands-on Lead/ Senior DevOps Engineer to raise the bar for our DevOps practice, mentor the team, and help evolve our DevOps function into a modern, product-minded Platform Engineering capability. You’ll lead day-to-day work, partnering closely with Dunnhumby leadership, and drive high-quality outcomes across infrastructure-as-code, CI/CD, observability, and developer experience. You’ll collaborate directly with software teams and treat platforms as products—anchored by user feedback, clear roadmaps, SLOs, and measurable improvements to delivery speed and reliability.

Our Toolset: (you don’t need all, but you can lead with most)

What You'll Do

• Lead and mentor a small team of DevOps engineers in IST, providing day-to-day guidance, pairing, and structured growth plans.
• Partner with product and engineering teams to help deliver a platform-as-product: contributing to clear roadmaps, customer feedback loops, SLOs, and well-documented golden paths.
• Own cloud infrastructure (GCP, some Azure) using infrastructure-as-code (Terraform).
• Design, standardize, and continuously improve CI/CD pipelines in GitLab, and facilitate migrations from TeamCity and Octopus Deploy.
• Establish and scale GitOps practices with Argo CD; champion progressive delivery and environment promotion strategies.
• Strengthen observability with actionable dashboards and alerts in Grafana; drive SLO/error-budget thinking and operational reviews.
• Improve security posture across the SDLC (secrets management, image/package governance, artifact hygiene, SAST/DAST reporting via SonarQube).
• Facilitate excellent cross-time-zone communication and handovers; set up crisp status updates, docs, and runbooks in Confluence.
• Influence architecture and reliability decisions (Kubernetes, networking, IAM, cost management) with a bias for automation and sustainability.
• Contribute hands-on: code reviews, IaC modules, pipeline templates, and reference implementations.

What You'll Bring

• 8+ years in DevOps / SRE / Platform Engineering with hands-on delivery in cloud-native environments.
• Proven leadership: experience in line management and mentoring/coaching across teams without formal authority.
• Strong communication: clear written and verbal communication with engineers, stakeholders, and leadership across time zones.
• Deep experience with GCP (preferred) and working knowledge of Azure; strong grounding in Kubernetes, networking, IAM, and security fundamentals.
• Mastery of infrastructure-as-code (Terraform) and configuration management (Helm); excellent scripting in Bash and at least one higher-level language (Python/Go/etc.).
• Fluency with CI/CD design and operations using GitLab, TeamCity, and Octopus; artifact and dependency management via Artifactory.
• Operational excellence mindset: incident management, post-incident reviews, runbooks, SLOs, and data-driven improvement via DORA/SDLC metrics.
• Track record of building developer-centric platforms, internal documentation, enablement materials, and golden paths.
• Relevant certifications that demonstrate depth (e.g., Google Professional Cloud DevOps Engineer / Architect, CKA/CKAD/CKS, Azure Administrator/DevOps Engineer Expert).

Nice to Have

• Experience modernizing a traditional Cloud/Infra team into a product-oriented Platform Engineering practice.
• Background with GitOps policy/guardrails, environment promotion, and release orchestration at scale.
• Exposure to cost optimization and FinOps practices in GCP/Azure.
• Hands-on with self-hosted GitLab Premium administration at enterprise scale.
• Pragmatic, outcome-focused delivery with a product mindset and high empathy for developers as customers.

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.