Team Description 

As part of the ADO Platform Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

Team Description 

As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for Quality/Performance assuring enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

Role summary  

We are looking for a Frontend Engineering Manager to lead our Frontend Platform and Micro-Frontend architecture. This role owns frontend engineering outcomes end-to-end  from platform strategy and architecture to delivery excellence, quality, and developer productivity.

You will manage and grow high-performing frontend teams, define platform standards, and partner closely with Product, Design, and Backend leaders to build scalable, high-quality user experiences.

Key Responsibilities

Leadership & People Management

• Lead, mentor, and grow a team of frontend engineers
• Set clear technical and delivery expectations, provide regular feedback, and support career growth
• Build a strong engineering culture around ownership, quality, and continuous improvement

Frontend Platform Ownership

• Own the frontend platform vision and roadmap, focusing on scalability, performance, and developer experience
• Define and evolve shared frontend foundations: design systems, component libraries, tooling, and CI/CD pipelines
• Drive standardization while enabling team autonomy

Micro-Frontend Architecture

• Lead the design, implementation, and evolution of micro-frontend architecture
• Define best practices for module federation, deployment independence, versioning, and cross-team integration
• Ensure seamless composition, performance optimization, and runtime stability across micro-frontends

Delivery & Outcomes

• Own end-to-end delivery outcomes — from requirements and architecture to release, monitoring, and iteration
• Balance speed and quality through strong engineering practices (testing, observability, performance budgets)
• Partner with Product and Design to translate business goals into scalable frontend solutions

Technical Excellence

• Be hands-on at the architectural level; guide critical technical decisions and reviews
• Drive adoption of modern frontend technologies and patterns
• Proactively address frontend performance, accessibility, security, and reliability

Required Qualifications

• 8+ years of frontend engineering experience, with 2+ years managing frontend teams
• Strong experience building and scaling frontend platforms
• Proven hands-on expertise with micro-frontend architectures (e.g., Module Federation, single-spa, or equivalent)
• Deep knowledge of modern frontend stacks (React preferred), state management, build systems, and tooling
• Experience owning large-scale frontend systems used by multiple teams

Preferred Qualifications

• Experience leading platform teams serving multiple product teams
• Strong understanding of design systems and cross-functional collaboration with Design
• Experience in B2B or high-scale consumer products
• Exposure to performance optimization at scale

What Success Looks Like

• A scalable, reliable frontend platform enabling fast, independent team delivery
• High-quality micro-frontend architecture with strong performance and developer experience
• Frontend teams that consistently deliver outcomes, not just features
• Engineers who feel supported, challenged, and growing

• Take ownership of team growth, recruitment, and development processes.

Who you are:

• A collaborative team player with strong leadership and communication skills.
• High proficiency in English, both written and verbal.
• A passion for managing and growing talent.
• Ambition and a strong eagerness to learn and adapt.
• Global Leadership Experience is a must.
• Experience in managing at least 3-4 development teams.

What could set you apart:

• Education: B.Sc. in Computer Science 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: 5+ years as a developer with full-stack experience (e.g., C#, .NET, Java).
• Technical Expertise: Proficiency with REST APIs, Queues, and Microservices architecture and database experience.
• 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.

About the Role:

We are looking for a hands-on Senior Data Product Manager to join Payoneer's Data Product Unit - the central hub for data product management across the company. In this role, you will be part of a dedicated squad responsible for data products serving the Finance organization, working closely with Finance stakeholders to design and deliver data products that support operational financial capabilities, book closing processes, regulatory reporting, and analytical needs.

You will lead the data product lifecycle end-to-end - from understanding business and regulatory challenges, defining analytical and operational needs, through designing scalable data models and assets, to delivering high-quality data products that empower the Finance organization.

As part of a globally distributed Finance Data Squad, you will collaborate closely with team members across multiple locations worldwide, as well as with the BI developers based alongside you in India. This role is ideal for a product-minded, business-oriented data person who is both strategic and hands-on, and who thrives on connecting complex financial business goals with technical execution.

What You'II Do:

• Own and drive your data product items within the Finance squad roadmap, aligned with strategic business goals, regulatory requirements, and SLA commitments - actively contributing to the squad's shared priorities and delivery goals.
• Work closely with Finance stakeholders to understand data needs, define and prioritize use cases, and develop solutions that improve data accessibility and usability.
• Translate business and regulatory objectives into clear data requirements, KPIs, and technical specifications (PRD and STT).
• Design, develop, and maintain scalable, reliable, and high-performance data products and models that serve analytical, operational, and regulatory reporting use cases.
• Partner closely with BI developers in India to ensure seamless integration of data products with reporting and visualization layers.
• Collaborate with Data Engineering and BI globally to implement and deliver high-quality solutions end to end.
• Ensure alignment and consistency between Finance domain-level data products and the company's core data assets.
• Drive data quality standards and maintain SLA commitments critical to financial reporting and regulatory stability.
• Maintain clear and proactive communication with stakeholders across global teams, ensuring transparency, clarity, and measurable outcomes.
• Monitor usage, adoption, and business impact of delivered data products, iterating based on feedback.
• Contribute to the broader data modernization and innovation initiatives led by the Data Product Unit.

Who You Are:

• 5+ years of experience in data product management, data analytics, or data-driven product roles, with proven hands-on experience.
• Strong understanding of data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required. (ETL Experience)
• Solid business acumen with a good understanding of financial data domains including financial reporting, revenue recognition, balances, and regulatory data.
• Excellent communication and stakeholder management skills - fluent English, capable of bridging business and technical conversations clearly and effectively across a globally distributed team.
• Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Experience working within cross-functional delivery squads with Data Engineering and BI.
• Strong quality orientation with experience defining and enforcing data quality standards, SLA tracking, and issue management.

Must have:

• ETL Experience- data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required
  Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Work with Data & Engineering team (stakeholders) + non-technical team (officers of regulations; finance team

Nice to have:

• Experience working in fintech, payments, or financial services environments.
• Familiarity with regulatory reporting requirements and compliance-driven data products.
• Experience with visualization tools such as Looker, Power BI, or Tableau.
• Background in building data products at scale within multi-domain or globally distributed organizations.
• Experience working with geographically distributed teams across multiple time zones.

#LI-PG1 

We're looking for a Seasoned Engineering Leader/ Engineering Manager to lead and build higher-performing teams with a drive for excellence and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.

Responsibilities:

• Collaborate closely with Product, Design/UX, DevOps, and other R& D teams.
• Lead an autonomous team of software engineers who are working closely with product management to achieve business goals.
• Put special focus on developing the team.
• Provide technical authority to your team by demonstrating a hands-on leadership style.
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.

Requirements:

• 7 + years of experience as a software technocrat,using C#, Nodejs or any OOP Language, REST APIs, webhooks, and asynchronous communication with Queues/Streams (RabbitMQ and Kafka).
• 2+ years of experience with observability systems (Dynatrace, Grafana, etc. )
• 2+ years of managerial experience, leading development of customer-facing products- a must!
• Experience with messaging queues or streams such as RabbitMQ/SQS/Kafka.
• Broad knowledge of OOP and design patterns.
• Experience with Microservices.
• Experience in engineering best practices (writing unit tests, code reviews, testing coverage, agile methodologies).
• Team player attitude and mentality.
• Experienced and passionate about managing and growing people.
• Ambitious and eager to learn new things.

Not a must, but a great advantage:

• Experience with Redis or similar.
• Experience with ORM such as Entity Framework.
• Experience in building SaaS platforms in a cloud-based/hybrid environment.

Role Overview

We are looking for a Program Manager who thrives at the intersection of rigorous engineering and predictable delivery. You will not just "manage tasks", you will orchestrate the development lifecycle for mission-critical C++ systems. Your goal is to ensure that our elite engineering teams can focus on high performance code while you own the execution strategy, dependency mapping, and release discipline.

Key Responsibilities

• Lead Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) tailored for deep-tech systems programming.
• Transform high-level trading requirements into granular, executable backlogs. Own capacity planning and burn-down metrics to provide high-visibility delivery timelines.
• Navigate the complex interplay between Connectivity (Market Data/Order Entry), Core Infrastructure, and Simulation teams to prevent bottlenecks.
• Build and maintain advanced Jira dashboards, automated roadmaps, and Confluence documentation that serve as the "single source of truth" for stakeholders.
• Proactively identify technical debt, architectural blockers, or resource gaps that threaten release stability.
• Continuously refine Agile methodologies to suit low-latency C++ development cycles (where "Definition of Done" includes rigorous performance benchmarking).

Eligibility & Required Skills

• 5+ years of experience as a TPM, Program Manager, or Scrum Lead in a product-engineering environment (HFT, FinTech, Networking, or Kernels/Systems).
• A strong grasp of the C++ development lifecycle. While you won't write code, you must understand concepts like build systems, CI/CD for systems software, and performance regressions.
• Expert-level proficiency in Jira Service Management/Software and Confluence. Ability to use JQL for advanced reporting.
• Exposure to low-latency, trading systems, networking, or infra software preferred.
• Exceptional ability to translate complex technical constraints into clear business updates for Engineering Leads and Partners.

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.

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:

Sauce Labs is looking for technical leadership in a strategic component connecting customer mobile and gaming applications to our Error Reporting service. This is a challenge beyond just writing another app and focusing on UX. Can you approach Android as a Linux distro, and develop both native and managed code to build bridges between OS fundamentals and the application layer? Here you will lean into unique technical challenges and gain a career-bumping breadth of experience across multiple mobile and gaming platforms. And as a technical leader you will work with business and engineering leadership across Sauce Labs and directly with engineers from other leading tech companies.

Responsibilities:

• Work directly with product and engineering leadership to design and develop elegant solutions for application observability.
• Solve leading-edge problems bridging the layers of an application, from managed to native to OS, in multiple platforms - mobile, gaming, managed languages, web and more.
• Deliver a mix of open-source and proprietary software.
• Advise customer-facing organizations on the mobile domain.

Required Skills:

• Approximately 5+ years of relevant software development experience.
• Required: C++ expertise, and proven experience in mobile/gaming app development, especially with languages like Java, Kotlin, Swift, Objective-C.
• Experience designing SDKs and tools that are intuitive for external developers to integrate, with clear APIs and documentation.
• Threading and concurrency:  Experience addressing race conditions, deadlocks, and performance bottlenecks in mobile and gaming SDKs.
• Cross-language integration:  Experience with JNI/NDK (Java - C/C++) and bridging layers (Unity/Unreal - native)
• A solid understanding of the crash reporting toolchain, and experience with native crash reporting tools like Crashpad and PLCrashReporter. Being comfortable with analyzing a minidump.
• Performance & footprint awareness:  Ability to design SDKs that are lightweight, efficient, and minimally intrusive to customer applications.
• Security best practices:  Familiarity with data privacy regulations (e.g., GDPR, CCPA) and strategies for securely handling crash and error data.
• Strong knowledge of cross-platform build systems, CI/CD pipelines, and package distribution (e.g., Gradle, CocoaPods, npm, Unity Package Manager).

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.