📍 Porto Matosinhos | 🏢 2 Days in the Office 

Platform Engineering at Capital On Tap 🚀

The Platform Engineering team powers fast, secure, and reliable software delivery across the business. We partner with Engineering, Data, Security, and QA teams to build platforms that reduce toil and make engineers' lives easier. From managing our Azure infrastructure and CI/CD pipelines to shaping core developer tooling, we focus on scalability, resiliency, and security at every step. We're always exploring new tools, testing ideas, and applying industry best practices to keep our platform cutting-edge and our teams empowered.

What You'll Be Doing 🗃️

• Develop a deep understanding of how infrastructure changes differ from application changes, and become a subject matter expert in the unique challenges of testing them safely and effectively.
• Define and own the frameworks, processes, and guardrails that ensure infrastructure changes are validated consistently across all environments  from development through to production.
• Build and maintain automated validation pipelines that verify infrastructure changes at each stage of promotion, catching drift, regressions, and misconfigurations before they reach production.
• Establish clear standards for what "good" infrastructure testing looks like at Capital on Tap covering areas such as plan validation, policy compliance, integration testing, and rollback verification.
• Design, provision, and maintain dedicated test environments on Azure, ensuring they are stable, reproducible, and closely mirror production.
• Own the Infrastructure as Code (Terraform) for all test environment provisioning, teardown, and configuration management.
• Collaborate with QA and Product Engineering teams to understand environment requirements and translate them into reliable, scalable infrastructure.
• Develop and enforce standards around test data management — including data seeding, masking, and refresh strategies to support consistent and repeatable testing.
• Monitor the health and availability of test environments using existing observability tooling, proactively identifying and resolving issues before they block teams.
• Contribute to incident management processes, ensuring infrastructure-related failures are diagnosed quickly and learnings feed back into improved guardrails and processes.

Our Values & Culture 🌞

• Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
• Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
• Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
• Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
• Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.

We’re Looking For 🔎

• 2-4 years of experience in a platform, DevOps, or infrastructure engineering role, ideally with some exposure to QA, testing practices, or quality engineering.
• A genuine curiosity for understanding how infrastructure changes behave differently to application code changes, and an interest in building the processes to test them rigorously.
• Hands-on experience with a major cloud provider (Azure, AWS, or GCP), with the ability to design and manage non-production environments.
• Proven experience writing and maintaining Infrastructure as Code (Terraform), including an understanding of plan/apply workflows and how changes can be safely validated.
• Familiarity with policy-as-code, compliance validation, or infrastructure testing approaches (e.g. validating configurations, detecting drift, or verifying rollback behaviour).
• Solid understanding of containerisation and Kubernetes, particularly in the context of running isolated, ephemeral test workloads.
• Familiarity with CI/CD pipelines and how infrastructure change validation fits into automated delivery workflows.
• Comfortable working with observability and alerting tooling to monitor environment health and surface issues early.
• Proficiency in at least one scripting language (Python, PowerShell, or Go) for automation and tooling tasks.
• Strong communication skills and a collaborative approach, you'll be working closely with platform engineers, QA engineers, and security teams to establish shared standards.

Even if you don’t have all of the necessary skills, we still encourage you to apply.

Interview Process 🤝 

• First stage: 30-minute intro, CV review, and values with Talent Partner
• Second stage: 45-minute “Tech Chat” with Team Manager
• Final stage: 60-minute Code Pairing + 30-minute Stakeholder Interview with Engineering & Product

Diversity & Inclusion 🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks

Check out our benefits:

🏥 Private Healthcare through AdvanceCare
🎁 Anniversary Rewards (€280, €570, €860, 4-week fully paid sabbatical)
🚘 Paid Car Parking
🏖️ 36 days holiday (inclusive of public holidays with public holidays carried over if they fall on a weekend)
📖 Annual Learning and Wellbeing Budget
💬 6 free therapy sessions per year
🍫 Free drinks and snacks in our offices

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

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.

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Are you passionate about working with the most cutting-edge technologies, including AI, big data analytics, LLMs, data mining, and business intelligence (BI)? Are you looking to become part of a world-class engineering team? Do you aspire to contribute to a globally recognized, pre-IPO leader in technology?

As a Senior Software Engineer, you will contribute to the design and development of AI-driven architectures that power our next-generation intelligent customer engagement platforms. Your contributions will help shape AI-powered customer experiences, enhancing the intelligence and efficiency of our service platforms.

Job Responsibilities:

• Develop and enhance a cloud-based data foundation system and AI agent platform. This involves leveraging AI/ML models, applying prompt engineering techniques, and conducting data analysis across structured, semi-structured, and unstructured data. Utilize technologies such as data and pattern mining, business intelligence (BI), and data transformation and processing.
• Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to deliver a high-performance, reliable, scalable service with assured AI quality.
• Contribute to architectural discussions, providing technical design input and ensuring alignment with the overall technology roadmap while adopting best practices effectively and independently.
• Participate in shaping the engineering roadmap, ensuring solutions are scalable and extensible while meeting business needs.
• Support and mentor junior engineers, fostering a collaborative and innovative development culture.
• Stay up-to-date with industry trends, emerging technologies, and advancements in AI and data engineering.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in backend development for cloud-based services, with a strong focus on scalability, reliability, and performance.
• Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
• Experience building and optimizing data-intensive services, including data processing, transformation, storage, and retrieval at scale.
• Strong problem-solving skills and ability to design scalable solutions for AI-driven services.
• Strong written and verbal English communication skills.
• Prior experience with data platforms and/or AI services is highly desirable.
• Experience working with distributed data platforms and modern data architectures, such as Apache Spark, Databricks, Kafka, Delta Lake, or similar is a desirable.
• Experience in data science and practical experience applying AI/ML models is a plus.

Additional Notes:
This position will follow a hybrid work model.

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone. 

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.

You:
We are seeking interns to join various Product Teams, contributing to Platform, Software, Mobile, Frontend, Security, or Data Engineering projects. We’ll carefully match candidates to the most suitable team and project based on their skills and interests.

The start date is flexible and the expected duration is between 8 to 12 weeks.

You Have & You Know-How:

• Currently pursuing or recently completed a degree in Computer Science, or a similar technical degree (required)
• Strong Computer Science fundamentals and coding skills (our stack includes Java, Go, Python, React, Bash)
• Self-driven & motivated, with a strong work ethic and a passion for problem solving
• Passionate desire to learn and grow
• Able to bring ideas into the team and to work out solutions to tough problems autonomously
• Good communication skills both written and verbal
• Fluency in English
• Experience working with Generative AI (GenAI) tools is a plus

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

 #LI-Remote #LI-MG3

Cloud Platform Engineer needed to design, build and maintain our cloud infrastructure and platform services on Google Cloud Platform, with a strong focus on event-driven architectures.

What you’ll get to do:

You will leverage Infrastructure as Code (IaC) with Terraform, design and manage our event-driven API gateway using Apigee X, and ensure robust observability with New Relic. This role involves enhancing platform reliability, scalability, and performance for critical, real-time event-driven systems.

What you should have:

• Proven experience as a Cloud Platform Engineer or DevOps Engineer.
• Extensive experience with Google Cloud Platform (GCP) services and architecture.
• Strong expertise in Infrastructure as Code (IaC) using Terraform.
• Hands-on experience designing, implementing, and managing event-driven architectures.
• Proficiency with Apigee X for API management, specifically in developing and securing event-driven API ecosystems.
• Expertise in setting up and managing monitoring, alerting, and observability tools, particularly New Relic, for complex distributed systems.
• Experience with CI/CD pipelines and automation best practices for cloud deployments.
• Familiarity with containerization technologies like Docker and Kubernetes in event-driven contexts.
• Ability to troubleshoot complex platform issues and optimize cloud resource utilization.

Bonus points if you have:

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience with other cloud providers (e.g., AWS, Azure).
• Scripting skills in languages like Python or Go.
• Knowledge of serverless architectures (e.g., Cloud Functions, Cloud Run) for event processing.
• Experience with message brokers and streaming platforms (e.g., Google Cloud Pub/Sub, Kafka).
• Experience with advanced security practices in cloud environments.

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including  training opportunities, medical insurance, Dental insurance, Meal cards, social events, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

Location: Portugal

Department: Engineering

Employment: Full time

About YLD:

Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.

About the role:

As a Software Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Software Engineering Consultant is a highly skilled developer who exemplifies the highest standard in software engineering and enjoys sharing their knowledge and experience with others.

You’ll have the opportunity to build and deliver software within some interesting projects in terms of the product and methodology. We work in an Agile environment (Scrum) with a test-first mindset (actually, writing code without tests should be unthinkable). We are also big advocates of pair programming and nothing is released until we have a code review.

You have a real passion for problem-solving and are an active learner who gets excited by working collaboratively with those around you.

Your day-to-day responsibilities will look like this:

• Crafting excellent products! As an AI Engineer, you will be building new AI-powered features that meet the needs of our clients' customers, as well as improving their Digital Platform with intelligent capabilities;
• Continuously delivering changes to products including AI model integrations, prompt optimisations, and system improvements, as we push for a full CI/CD model;
• Working closely with your team, regularly collaborating on both traditional engineering and AI initiatives, to continually push yourselves to build better, smarter systems;
• Participating in regular show and tells to promote your work — from AI experiments to production deployments — to both your department and the wider company;
• Joining our clients’ internal events, including meeting external speakers, going to quiz nights, etc.

You’ll have the following skills and experience:

Core Programming & AI

• Proven strong experience with JavaScript, TypeScript, and Python
• Advanced GenAI/LLM expertise: RAG, embeddings, vector search, prompt engineering, evals, guardrails, caching, chaining, function calling, etc
• Fine-tuning expertise: LoRA/QLoRA, instruction tuning, RLHF, domain adaptation, and custom model training
• Agentic architecture design: multi-agent systems, tool orchestration, planning/reasoning frameworks, memory systems, and agent coordination patterns
• Eval systems: automated evals, human feedback loops, benchmarking, A/B testing, safety testing, hallucination detection, and performance metrics
• Experience with LLM frameworks (LangChain, LlamaIndex, LiteLLM, CrewAI, Mastra, etc) and API integrations (OpenAI, Anthropic, etc.)

Infrastructure & DevOps

• CI/CD pipelines and IaC tools (Terraform, CloudFormation, CDK)
• Cloud platforms (AWS, Azure, GCP) for GenAI workloads and API management
• Containerisation and orchestration (Docker, Kubernetes) for AI applications
• LLM hosting and inference optimisation (vLLM, TGI, local deployment)

Data & Databases

• Vector databases (Pinecone, Weaviate, Chroma, Qdrant) and traditional databases (PostgreSQL, Neo4j)
• Data pipeline design for RAG and knowledge ingestion
• Real-time data streaming and processing
• Document processing and embedding generation workflows

Frontend & APIs

• React or modern UI frameworks
• API design for LLM services and conversational interfaces
• Multiple protocols (HTTP, GraphQL, gRPC, WebSockets, MCP)
• Real-time chat and streaming response handling

Performance & Reliability

• Building high-performance, scalable AI applications
• LLM cost optimisation, token management, and caching strategies
• Performance monitoring, observability, and debugging production AI systems
• Comprehensive testing: unit, integration, AI behaviour, security, accessibility

You’ll be:

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail oriented;
• Used to working in a team-oriented, collaborative environment;
• Comfortable with experimentation, iteration, and managing uncertainty in AI systems;
• Analytical and problem-solving oriented;
• Ethical thinker who considers the broader implications of AI implementations;
• A genuine believer in diversity and fairness.

As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• 25 days annual holiday (excluding Public Holidays)
• €2000 annual allowance for Training/Conferences
• €300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.

Cloud Platform Engineer with GCP experience needed to design, build and maintain our cloud infrastructure and platform services on Google Cloud Platform, with a strong focus on event-driven architectures. 

Please send over your CV in English

What you’ll get to do:

In our Lisbon or Porto office, you’ll join a team of other specialists who are always ready to help each other. The team is part of our VML Enterprise Solutions network and works in coordination with our Local and EMEA client leads.   

You will leverage Infrastructure as Code (IaC) with Terraform, design and manage our event-driven API gateway using Apigee X, and ensure robust observability with New Relic. This role involves enhancing platform reliability, scalability, and performance for critical, real-time event-driven systems. 

What you should have:

• Proven experience as a Cloud Platform Engineer or DevOps Engineer. 
• Extensive experience with Google Cloud Platform (GCP) services and architecture. 
•  Strong expertise in Infrastructure as Code (IaC) using Terraform. 
• Hands-on experience designing, implementing, and managing event-driven architectures. 
• Proficiency with Apigee X for API management, specifically in developing and securing event-driven API ecosystems. 
• Expertise in setting up and managing monitoring, alerting, and observability tools, particularly New Relic, for complex distributed systems. 
• Experience with CI/CD pipelines and automation best practices for cloud deployments. 
• Familiarity with containerization technologies like Docker and Kubernetes in event-driven contexts. 
• Ability to troubleshoot complex platform issues and optimize cloud resource utilization. 

Bonus points if you have:

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience with other cloud providers (e.g., AWS, Azure).
• Scripting skills in languages like Python or Go.
• Knowledge of serverless architectures (e.g., Cloud Functions, Cloud Run) for event processing.
• Experience with message brokers and streaming platforms (e.g., Google Cloud Pub/Sub, Kafka).
• Experience with advanced security practices in cloud environments.  

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

We offer a great benefits package including hybrid working that works for everyone, social events, training opportunities, medical and dental insurance, life assurance, meal cards and much more. 

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA #LI-HYBRID #LI-JS1

Our mission is to improve developers’ experience by giving them the tools to manage the entire software lifecycle and to be self-sufficient. 

To help with this we are building our own internal PaaS using the latest technologies like Kubernetes, Prometheus, Kotlin and others. This platform is an important pillar in Talkdesk’s engineering effort and helps us deliver better, faster and more reliable solutions for our customers.


Responsibilities:

Design, build, harden, and maintain key infrastructure parts of our platform (from the lifecycle of the infrastructure to each one of our Kubernetes clusters)
Support the processes that enable the safe upgrade and update of each component of our compute infrastructure
Work with  GitOps industry-leading tools such as Spacelift and/or Atlantis
Help automate safe deployment practices by using industry-leading tools such as GitHub Actions,  ArgoCD, Argo Rollouts, Helm Charts, etc
Help automate infrastructure provisioning and other engineering processes by working on automations built on top of an engineering platform written in GitHub Actions
Coach and up-skill other engineering team members
Solve challenging technical problems and put your skills to the test every day; see an immediate impact of your work and the value you've created for other engineers
Automate every aspect of our infrastructure to remove as much human intervention as possible
Develop effective tooling, alerts, and responses to both identify and address reliability risks
Drive and promote protocols on production readiness and operational excellence
Partner with product engineering teams to debug production outages and carry out action items to improve the reliability of those systems
Advocate for automated testing, continuous integration and delivery, feature toggles, and progressive rollouts
Plan for the growth of Talkdesk’s infrastructure.


Skills and Qualifications: 

Understand large-scale complex systems from a reliability perspective
Passion for producing clean, standards-compliant, secure code
Bringing a developer mindset and applying it to infrastructure
Know your way around Linux/Unix systems
Experience with Kubernetes
Experience with Infrastructure as code tools like Terraform and Ansible
Experience building software with a programming language such as Java, Kotlin, Scala, or any other JVM-based languages
Experience writing scripts for automating the execution of certain tasks with a programming language like Ruby, Python, Bash, or any other scripting language
Experience with at least one relational and non-relational databases (ex.: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch)
Ability to identify time-consuming and error-prone manual tasks and then build/leverage tooling to automate them
Ability to identify root causes of instability in a large-scale distributed system across stacks


Nice to haves / Pluses: 

Experience with cloud-based solutions such as Amazon AWS, Google Cloud, or Microsoft Azure
Experience with Go programming language


Additional Notes:
This position will follow a hybrid work model.

The SRE Connectivity team at Talkdesk is responsible for building, running, and evolving the infrastructure foundation that supports all engineering teams, with an automation-first mindset and a strong focus on availability, reliability, and scalability.

As a Technical Manager, you will combine hands-on technical leadership with people and delivery ownership. You will actively contribute to the design, implementation, and operation of the network and SRE stack, while also guiding the team, setting technical direction, and ensuring sustainable execution.

At Talkdesk, we follow a “you build it, you own it” philosophy. In this role, you will help reinforce that culture by empowering teams with the right tools, practices, and guardrails, fostering a blameless environment focused on learning and continuous improvement.

You will work with a large, distributed, multi-region, multi-cloud infrastructure, using modern technologies at scale.

Be responsible for:

Technical (hands-on)

• Design, build, and maintain the core network infrastructure and related tooling used across Talkdesk
• Remain hands-on in the day-to-day work, contributing code, infrastructure changes, and reviews
• Drive automation-first practices across network and infrastructure operations
• Ensure infrastructure reliability through observability, monitoring, alerting, and proactive issue detection
• Develop and evolve tooling, alerts, and operational processes that enable engineering teams to safely run production workloads
• Participate in on-call rotation, leading by example and staying close to production realities
• Lead and actively participate in incident response, root cause analysis, and post-mortems, ensuring concrete follow-ups that improve resilience

Leadership & management

• Provide technical direction and standards for the network and SRE domain
• Mentor and coach engineers, supporting their technical growth and operational maturity
• Plan and prioritize work with a focus on impact, risk reduction, and long-term sustainability
• Act as a technical partner to product engineering teams, helping them design more reliable, scalable, and observable services
• Balance short-term operational needs with longer-term architectural improvements

Need to have:

• Strong hands-on experience with AWS networking
• Hands-on experience configuring and operating AWS Direct Connect
• Hands-on experience with Fortinet firewalls and Fortinet network security products
• Experience working with NetBox or similar network source-of-truth solutions
• Solid knowledge of Linux/Unix systems
• Programming/scripting skills in at least one language (e.g. Python, Bash)
• Experience with Infrastructure as Code (CloudFormation, Terraform, or similar)
• Experience with configuration management tools such as Ansible
• Experience with monitoring and observability tools (Datadog, New Relic, Grafana, or similar)
• Proven ability to identify manual, error-prone processes and replace them with automation
• Strong troubleshooting skills and ability to identify root causes in large-scale distributed systems
• Pragmatic, solution-oriented mindset with strong critical thinking skills

Be valued for:

• Experience supporting production systems at scale
• Experience with technologies such as Docker, Consul, Vault, Jenkins, Concourse, Prometheus, Nexus
• Experience with encryption and key management technologies (ACM, KMS, hashing, secret management)
• Experience with additional firewall or network security solutions beyond Fortinet
• Experience with other cloud providers such as GCP or Azure
• Previous experience acting as a technical lead or manager while remaining hands-on

Key responsibilities 
Strategic Impact

• Drive long-term planning and continuous improvement of observability capabilities
• Identify gaps, initiate improvements, and balance competing priorities
• Enable teams to operate effectively through better tooling, processes, and clarity
• Introduce AI into coding processes

Leadership & Team Development

• Lead, mentor, and grow a team of software engineers ( Python, JavaScript / React)
• Set clear expectations, manage performance, and support career development
• Foster a culture of ownership, accountability and continuous improvement
• Remove blockers and maintain strong team engagement

Planning, Delivery & Requirements

• Lead requirements clarification with stakeholders and translate them into actionable engineering work
• Own and maintain application and platform roadmaps, aligning with organizational priorities
• Define, prioritize, and manage Jira epics, stories, and tasks
• Drive sprint planning, backlog management, and predictable delivery
• Ensure high-quality execution through effective Agile practices and CI/CD workflows

Cross-functional Leadership

• Collaborate with SRE, platform teams and service owners to design scalable solutions
• Act as a key coordination point between engineering, operations, and leadership
• Align observability initiatives with broader company goals

Engineering Contribution

• Contribute to code and perform code reviews
• Provide technical guidance and support architectural decisions
• Ensure engineering best practices across the team

Requirements

• 7+ years of experience in Software Development
• 3+ years experience in leading and mentoring software engineers as senior or lead developer
• Strong expertise in Observability (monitoring / logging / telemetry) tooling
• Experience with distributed systems and scalable architectures
• Proven ability to translate requirements into actionable engineering work
• Experience with Agile methodologies and delivery management
• Strong communication and stakeholder management skills
• Experience with AI development

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays