Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Agentic AI (Mosaic AI)
• Python
• SQL

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Build and optimize data transformations using Python and SQL;
• Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
• Strong experience with Python;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Azure SQL pools;
• Understanding of performance tuning for data workloads;
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Synapse (Pipelines)
• Azure SQL pools
• Python
• SQL
• Performance tuning

What You'll Do

• Develop and maintain data pipelines in the Azure environment;
• Work with Azure SQL Pools for data storage and processing;
• Write and optimize SQL queries;
• Perform performance tuning for queries and data workflows;
• Collaborate with a team of engineers on Databricks-based solutions;
• Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
• Ensure reliability and consistency of data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Azure SQL Pools;
• Strong understanding of performance tuning for data workloads;
• Experience working in Azure cloud environment;
• Excellent communication skills;
• English level: B2 (Upper-Intermediate) or higher;

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Python;
• Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
• Familiarity with Databricks Asset Bundles;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
• SQL
• Python
• Azure

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Write, optimize, and maintain data transformations using Python and SQL;
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer
• Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
• Solid knowledge of SQL
• Strong experience with Python
• Experience working in Azure cloud environment
• Good understanding of data pipelines and data platform architecture
• Strong analytical and problem-solving skills
• Excellent communication skills
• English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.

Technologies

• Python
• Azure
• SQL
• Databricks
• Automation frameworks

What You'll Do

• Perform manual testing of application features and workflows;
• Develop and maintain automation tests using Python;
• Work with existing automation frameworks and improve test coverage;
• Validate data and perform database checks using SQL;
• Collaborate with development and QA teams to ensure product quality;
• Identify, document, and track defects;

Job Requirements

• 3+ year of experience in QA;
• Experience with Databricks ecosystem;
• Experience working in Azure cloud environment;
• Good understanding of data pipelines and data platform architecture;
• Experience with Python for test automation;
• Understanding of automation frameworks;
• Experience working with SQL;
• Strong knowledge of manual QA practices;
• Attention to detail and analytical mindset;
• Ability to work in a team environment;
• English level: Upper-Intermediate (B2) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Project Description

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

Technologies

• SQL (PostgreSQL, MySQL or similar)
• Python (or another scripting language)
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus

What You'll Do

• Assist in the design, development, and maintenance of scalable data pipelines;
• Support data integration from various sources (databases, APIs, flat files);
• Help ensure data quality, consistency, and reliability;
• Collaborate with data analysts and data scientists to understand data requirements;
• Participate in code reviews and contribute to technical documentation;
• Monitor and troubleshoot data workflows, resolving issues as they arise;

Job Requirements

• 1+ years of practical experience or relevant internship in a data-focused role (preferred);
• Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience);
• Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server);
• Familiarity with at least one programming language (preferably Python);
• Understanding of ETL concepts and data warehousing fundamentals;
• Eagerness to learn new technologies and best practices in data engineering;
• Strong problem-solving skills and attention to detail;
• Effective communication and teamwork abilities;
• English level: Intermediate (B1) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Sep 25, 2025 12:50

About the Role

iCapital is looking for a Assistant Vice President Information Security Engineer to join the Information Security team. This role will establish and manage cloud security programs, build new security architecture, automation, enforce application security processes and continuously find security gaps across iCapital technology. The ideal candidate is an experienced individual contributor and leader who can do research, design and implement security technologies, manage small teams of engineers, and is able to empathize and connect teams cross-functionally.

Responsibilities

• Build and manage Cloud Security Programs for AWS, Azure, and GCP infrastructure, providing continuous monitoring and resolution of all the vulnerabilities in our cloud environment.
• Implement resolutions of security misconfigurations.
• Collaborate with the DevOps team to rethink routine, embrace new best practices, and drive the adoption of technology standards.
• Build automation capabilities to monitor and alert infrastructure for AWS maintenance.
• Evolve, build and continuously test new cloud infrastructure capabilities for secure designs and functions.
• Build processes and automation capabilities for application code security reviews, workflows, and testing in collaboration with developers.
• Assist the SOC in building detection and alert capabilities.
• Develop workflows for SaaS security programs.
• Assist the Risk and Governance teams with policies, procedures, and standards.
• Collaborate with cross-functional teams, including DevOps and Security Engineering, to deliver security projects.

Qualifications

• Experience in Cloud Environment, AWS preferred, for 5-10 years to establish security cloud infrastructure
• AWS Certified Solutions Architect or similar certifications are preferred
• Commitment to staying at the forefront of cloud security trends, emerging threats, and evolving technologies
• Experience with Infrastructure as Code or systems engineering and scripting
• Strong verbal and written communication skills
• Fluent in Portuguese and English
• Able to influence stakeholders
• Able to drive tasks to completion

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Our global voice team is looking for a committed, experienced Senior Software Engineer who is passionate about creating high performing, scalable, and resilient mission critical services that are the foundation of Five9’s next generation contact center platform. You will have the opportunity to combine what you already know with new learnings, crafting a bespoke solution that serves our customers and partners.

Responsibilities:

• Participate in an Agile scrum team which practices DevOps.
• Write clean and well-documented code and tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 5+ years professional experience in software development, with some being written in C and/or C++.
• Hands-on experience writing software for real-time communications signaling and media protocols (SIP, RTP, etc.).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organization skills, and a sense of ownership.

 Technical Skills:

• Modern C++ (C++17+), RTP/SIP, audio codecs, SIP/SDP, ASR/TTS integration, AI APIs, cloud platforms (AWS/Azure/GCP), CI/CD, containers, SRE principles.

Benefits:

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

Our global voice team is looking for a committed, experienced Senior Software Engineer who is passionate about creating high performing, scalable, and resilient mission critical services that are the foundation of Five9’s next generation contact center platform. You will have the opportunity to combine what you already know with new learnings, crafting a bespoke solution that serves our customers and partners.

Responsibilities:

• Participate in an Agile scrum team which practices DevOps.
• Write clean and well-documented code and tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years professional experience in software development, with some being written in C and/or C++.
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organization skills, and a sense of ownership.

Preferred Skills:

• Hands-on experience writing software for real-time communications signaling and media protocols (SIP, RTP, etc.).

 Technical Skills:

• Modern C++ (C++17+), RTP/SIP, audio codecs, SIP/SDP, ASR/TTS integration, AI APIs, cloud platforms (AWS/Azure/GCP), CI/CD, containers, SRE principles.

Benefits:

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

About the Role

As a Software Developer in Test, you will join one of several high-impact teams of QA professionals. You will work on a variety of Veeam products and features, helping us shape the quality of solutions used by companies around the world. During the hiring process, we’ll match your interests and experience with the team and project where you can make the greatest impact.

What You'll Do

• Develop and maintain automated tests for Veeam products
• Collaborate across the software development team
• Enhance frameworks and modules for automated testing
• Contribute to test design and implementation
• Analyze product source code
• Support internal automated testing systems
• Build and manage testing infrastructure
• Analyze test results, and maintain defects database

Technologies You'll Work With

• Python, PowerShell, C# (.Net 6, .Net 8)
• GitLab, Azure Devops, TeamCity
• TestRail

What You'll Bring

• From at least 1 year of experience (junior level) up to 3+ years (middle/senior level) in commercial product testing, test automation, or software development; OR practical hands-on coding experience, without a need for testing expertise but with a strong interest in the testing domain (for junior candidates)
• Programming experience in Python
• Experience with Windows and/or Linux environments
• A strong desire to write high-quality code and develop your skills in programming
• An open mind, common sense, clear logical thinking, and a lively, analytical mindset - you enjoy analyzing and understanding how things work
• English proficiency for daily communication within international teams

Bonus Skills

• C#/.NET Framework and Test Automation: LINQ, NUnit, Selenium WebDriver, testing RESTful APIs using HttpClient
• Experience with PowerShell 
• Experience with Git
• Experience with Jenkins, TeamCity or Azure DevOps
• Cloud platforms experience (AWS, Azure, GCP)

What You’ll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal card with €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Portugal. 

#LI-AR1
#Hybrid

Location: UK, Portugal, Remote

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 Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

Preferred Skills:

• Strong backend engineering experience, with Go as a primary or preferred language;
• Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;
• Experience building and maintaining APIs and backend services, including SaaS platforms;
• Familiarity with modern infrastructure and distributed systems;
• Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;
• Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;
• Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.

You should apply if you are:

• 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;
• Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
• Used to working in a team-oriented, collaborative environment;
• Analytical and problem-solving-oriented;
• A genuine believer in diversity and fairness.

Benefits you’ll receive:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Enhanced pension scheme (only for UK)
• 25 days annual holiday (excluding Public Holidays)
• £/€2000 annual learning and development budget for training courses and conferences
• £/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Generous referral schemes

Our typical recruitment process:

• 1st Interview with a Talent Partner (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

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.

About the role and team

At Catawiki, we’re building an internal developer platform that enables our engineering teams to move fast without compromising on reliability or security.

As a Senior Software Engineer in our Developer Experience (DevEx) Platform team, you will design and build the tooling, systems, and abstractions that power how engineers develop, deploy, and operate services at scale.

This is not a traditional DevOps or SRE role,  it’s a software engineering role focused on improving developer productivity and platform capabilities.

You’ll work at the intersection of software engineering and infrastructure, helping product teams ship faster by removing friction and building scalable internal platforms.

What You’ll Do 

Your work as a Senior Platfrom Engineer (DevEX)  will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

About the role and team

A DevOps engineer? A SRE? What’s next? The industry is going through a rise of a new discipline and its adoption, so does Catawiki. Join our Platform Horizontal as a Platform Engineer!

Recently, our Platform Horizontal underwent a major transformation from solely "managing the cloud" to becoming the largest horizontal function within the company. Today we are proudly supporting various business objectives, including Reliability, Developer Experience, Security, and Quality. The team takes a holistic approach, creating systems and tools that developers can use to deliver applications seamlessly and reliably without getting bogged down in infrastructure complexity.

Joining Catawiki as a Platform Engineer means working at the intersection of development, infrastructure, and operations. Challenges are guaranteed! So, would you be interested in this opportunity to help us set and execute this long term vision?

What You’ll Do 

Your work as a Senior Platform Engineer will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.

What You'll Do

• Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
• Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
• Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
• Participate in root cause analysis of performance issues reported by Technical Support and customers
• Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams

What You'll Bring

• Technical education or a strong, hands‑on passion for systems and performance
• 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
• Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
• Solid knowledge of Windows and/or Linux at an advanced user or system administration level
• Good understanding of system internals: CPU, memory, storage, networking
• Strong analytical mindset, attention to detail, and structured thinking
• Motivation to grow as a performance and scalability engineer
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
• Scripting, test automation, or infrastructure deployment experience
• Understanding of virtualization platforms and large virtual environments
• Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
• Experience with Python
• Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-YS1

#Hybrid

Now we are looking for a Middle/Senior QA Automation Engineer (Java) to join the team that works on the Veeam Backup for Salesforce.

What You'll Do

• Developing testing strategies for software products 

• Developing automated tests for integration and functional scenarios, including for the backend, frontend, data storage system, etc

• Developing and improving current automation tools 

• Maintaining test documentation 

• Validating tests and scenarios written by other testers 

• Conducting test cycles using functional, integration, and load testing

• Evaluating test results, preparing reports, and making suggestions for quality improvement 

• Analyzing results, increasing test coverage, participating in development, and implementing new approaches to product testing 

What You'll Bring

• Knowledge of Java 

• Knowledge of SQL 

• Knowledge of REST, SOAP, HTTP 

• Knowledge of Playwright 

• API testing experience 

• Knowledge of Docker 

• Experience with Azure DevOps (CI/CD, pipelines, IaC such as Bicep, etc.) 

• Knowledge of automated testing tools: JUnit, Jupiter etc

• Hands-on experience with Spring Boot 

• Experience with test case management systems (e.g., TestRail, Zephyr, Xray, etc.) 

• Knowledge of the principles of distributed systems 

• Skill and experience in collecting system requirements 

• An understanding of system interoperability 

• An understanding of the differences between various types of testing 

Bonus Skills

• A deep understanding of the software life cycle process 

• A deep understanding of the testing process and experience with implementing it in practice 

• Knowledge of programming languages: Kotlin 

• Knowledge of relational database operation 

• Knowledge of Kubernetes (k8s) 

• Experience in load testing 

• Experience in working with large volumes of data and data quality testing 

What You’ll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal card with €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Portugal. 

#LI-AR1
#Hybrid

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English 
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

What You’ll Get 

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal card with €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside of Portugal. Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in Portugal.

#LI-AP1

Let's start with the role

At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. 

We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you:

• Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
• Design scalable solutions in a distributed environment;
• Design scalable inference pipelines and architectures;
• Implement model diagnostics such as evaluation, monitoring flows etc.;
• Automate model deployment, enable REST API model endpoints;
• Develop scalable model serving flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;
• Write CI/CD/CT pipelines.

What you’ll bring:

• Extensive experience in software development using Python in large scale, high-performance production environment;
• Significant hands-on experience in designing ML software systems;
• Significant experience with cloud environments like Microsoft Azure or AWS;
• Hands-on experience with Spark and PySpark;
• Excellent problem solving and communication skills
• Good understanding of:

• • Software system design; 
  • The ML project lifecycle;
  • MLOps concepts and tools such as MLflow or Kubeflow;
  • ML algorithms and models.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 🚗 Commuting allowance
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote

Let's start with the role

As the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products. You will be at the core of AI developments, analyzing data, building machine learning models, collaborating with the tech team to create successful AI products. 

The ideal candidate will combine a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production along with previous experience of leading and managing AI teams.

As a Data Science Team Lead, you will:

• Manage a team of 5 to 7 skilled data scientists and machine learning engineers. 
• Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate insights;
• Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
• Implement best practices on model selection, parameter tuning and optimization.
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and share knowledge with more junior members and guide the team through complex projects. 

What you’ll bring

• Previous experience as a people manager;
• Expert knowledge of machine learning algorithm and their theoretical foundations;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of Deep learning;
• Proficiency in Python’s machine learning ecosystem and solid software engineering skills (OOP);
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in pricing optimisation;
• Previous experience in forecasting;
• Previous experience in the betting industry.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-HYBRID
• #LI-AP

Let's start with the role

As a GenAI Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments.

As a GenAI Senior Data Scientist you will:

• Translate product requirements to AI problems and identify areas where AI can drive the most business impact;
• Analyze data to uncover significant patterns and generate actionable insights;
• Architect agentic and GenAI systems;
• Select appropriate models for the right tasks and tune their performance;
• Perform exploratory data analysis (EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Hands on experience with GenAI and Agentic applications;
• Extensive hands-on experience in delivering AI driven products to production;
• Experience in scaling and optimisation of AI applications;
• Knowledge of machine learning algorithm and respective theory;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in LLM fineturing;
• Previous experience with LLM serving;
• Knowledge of Deep learning. 

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-ap1

Let's start with the role

At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations. 

We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. 

• Design, develop and maintain scalable model training and inference pipelines in a distributed production environment;
• Design, develop and maintain microservices in Python that host and serve ML models on production;
• Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.

What you’ll bring

• Ηands-on experience in software development using Python on a production environment;
• Good understanding of:
• Software system design; 
• The ML project lifecycle;
• MLOps concepts and tools such as MLflow or Kubeflow;
• ML algorithms and models.
• Experience with cloud providers like Microsoft Azure or AWS;
• Experience with PySpark and Databricks.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 🚗 Commuting allowance
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Let's start with the role

We are looking for a Database Administrator to join our team. In this role, you will be responsible for maintaining, troubleshooting, and optimizing our MS SQL Server environments, with a strong focus on availability, security, and performance. You will play a key role in ensuring the continuous operation of our databases, particularly in complex, high-availability scenarios such as Availability Groups. In addition, you will apply your knowledge of alternative database engines, such as MongoDB and CockroachDB, along with your expertise in cloud-based database administration.

• Provide comprehensive day-to-day support, monitoring, troubleshooting, and administration for multiple MS SQL databases, with a particular focus on high-availability configurations like Availability Groups.
• Diagnose and resolve complex performance and availability issues, performing in-depth root cause analysis to prevent future occurrences.
• Oversee database maintenance processes, including performance tuning, index management, and job automation, ensuring optimal operation.
• Develop and enforce backup and recovery policies, ensuring database resilience and disaster recovery readiness.
• Apply security patches, conduct version upgrades, and enforce strict compliance with database security best practices.
• Handle support calls and resolve technical issues promptly, including responses to security incidents and operational challenges.
• Leverage expertise in alternative database engines like MongoDB and CockroachDB to contribute to cross-functional database projects.
• Manage and optimize cloud-based database environments, ensuring scalability, performance, and reliability in cloud infrastructure.

What You'll Bring

• Solid, hands-on experience in MS SQL Server database administration in production environments.
• Extensive experience with MS SQL Server database features, including Jobs Scheduling, Monitoring, Patching, Backup/Recovery, Replication, Availability Groups, and Always On configurations.
• Good knowledge of memory tables and table partitioning
• Proven expertise in diagnosing and resolving performance bottlenecks and availability issues.
• Good understanding of alternative database engines like PostgreSQL, MongoDB, and CockroachDB, with practical experience in administration and troubleshooting.
• Good knowledge of cloud database administration, with experience on platforms such as Azure.
• Practical experience with Git version control / GitLab. 
• Fluency in English, both written and spoken, with excellent communication skills.
• Strong teamwork, analytical thinking, and problem-solving abilities, combined with a proactive approach to continuous learning.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.

Let's start with the role

At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity. 

Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production.

We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process.

• Translate business requirements to machine learning problems;
• Perform EDA and feature engineering;
• Run comparative experiments for model training;
• Implement best practices on model selection, parameter tuning etc.

What you’ll bring

• A background in Computer Science, Statistics, Math or related field;
• Strong knowledge of machine learning algorithm and respective theory;
• 2-8 years of hands-on experience in delivering machine learning models to production;
• Knowledge of the Python machine learning ecosystem;
• Experience with Spark (PySpark);
• Solid software background in OOP;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have

• Experience with Azure / Databricks;
• Knowledge of Deep learning;
• Experience in recommendation systems.

#Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS)

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Remote
• #LI-PROMOTE

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

You

The Solution Architect is a technical and consultative leader who bridges the gap between client needs and the delivery of impactful solutions. As subject matter experts, they design scalable, maintainable, and reusable architectures that solve business challenges and support long-term goals.

Engaged from the sales cycle through project completion, Solution Architects collaborate with clients and internal teams to translate requirements into high-level solution designs, identify gaps in out-of-the-box offerings, and define actionable backlogs for engineering teams. They oversee multiple projects in parallel, ensuring solutions are globally applicable, performance-optimized, and built on reusable components.

While not involved in daily coding, Solution Architects review and guide technical deliverables to align with the architectural vision, troubleshoot issues, and implement performance optimizations. They also develop tools, modules, and utilities to improve delivery efficiency. Success in this role demands a strategic mindset, deep knowledge of Feedzai products and adjacent technologies, and the ability to align technical decisions with business objectives. By fostering innovation, championing best practices, and maintaining a client-first approach, Solution Architects reinforce Feedzai’s position as a trusted provider of sustainable and high-performing software solutions.

Your Day-to-Day

• Solution Design & Requirements Analysis: Translate client needs into high-level, scalable, and maintainable solution architectures. Create actionable development backlogs, addressing gaps in out-of-the-box solutions and ensuring alignment with client objectives.

• Product Fit & Implementation Excellence: Evaluate Feedzai’s product offerings to recommend the best fit for each client’s environment. Advise on implementation best practices for long-term success.

• Pre-Sales & Stakeholder Engagement: Support the sales cycle with technical expertise, present solutions to technical and non-technical audiences, and ensure proposals align with strategic objectives.

• Implementation Oversight & Quality Assurance: Guide project execution to match the architectural vision, reviewing deliverables for quality, performance, and scalability.

• Performance, Optimization & Troubleshooting: Design for performance, address issues promptly, and optimize cloud usage (AWS, Azure, GCP) for cost-effectiveness and scalability.

• Reusability & Continuous Improvement: Create reusable components, tools, and utilities to improve efficiency across projects and contribute to Feedzai’s technical practice improvements.

• Risk & Impact Management: Identify and mitigate technical risks while maintaining timelines and business goals.

• Cross-Functional Collaboration: Partner with engineering, product, and client success teams to align technical solutions with company strategy and ensure clear communication.

• Knowledge Sharing & Support: Mentor team members, promote a culture of innovation, and resolve Level 2 support issues to maintain client satisfaction.

You Have and you Know-How

• Bachelor’s degree in Computer Science, Engineering, or a related field, with at least 5 years of Java development experience and 2+ years in systems/solution design;

• Strong proficiency in Java and frameworks (Spring and Hibernate), with expertise in concurrent and distributed environments;

• Advanced skills in Java application performance tuning, including JVM optimization, memory management, and garbage collection;

• Proven experience designing scalable, high-performance enterprise systems;

• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes);

• In-depth knowledge of messaging systems (RabbitMQ, Kafka) and data processing frameworks (Spark, ELK);

• Deep understanding of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra), including performance tuning;

• Strong grasp of microservices architecture, RESTful APIs, and enterprise integration patterns;

• Knowledge of security best practices in system design, including data encryption, authentication, authorization, and secure communication;

• Proficiency in Agile methodologies, CI/CD practices, and DevOps tools (e.g., Jenkins, GitLab);

• Strong problem-solving abilities, system optimization skills, and excellent communication for collaboration with clients and technical teams.

#LI-Remote #LI-BX1

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

LastPass is looking for a Staff Kubernetes Engineer:

As a Staff Kubernetes Engineer, you will have a strong focus on Kubernetes operations to design, build, and maintain cloud-native infrastructure using Infrastructure as Code and following GitOps principles and tooling. You will orchestrate scalable containerized applications, streamline cluster operations while ensuring high availability through automated deployments and observability over our infrastructure.

About the Team:

Our team sits at the core of LastPass’s Platform Engineering cluster, delivering a streamlined platform that reduces complexity and speeds up delivery. We manage the company’s entire Kubernetes environment, operating EKS clusters, overseeing container lifecycle and reliability, and providing developer tooling that enables teams to deploy and scale applications efficiently and securely.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will be part of a dedicated team within LastPass, shaping future infrastructure, enabling seamless application delivery, and driving DevOps best practices across the organization. Leveraging your technical expertise, you will collaborate closely with architecture and security teams to ensure services remain secure, reliable, maintainable, and scalable.

What are some of the exciting challenges you will be working on?

• Own the architecture, design, and evolution of our Kubernetes-based platform on AWS, ensuring scalability, resilience, and operational excellence
• Develop, maintain, and optimize Kubernetes infrastructure using Infrastructure as Code (CDK), enforcing best practices and architectural standards
• Act as the technical guide and domain expert for Kubernetes architecture, collaborating closely with the Architecture team to bridge high-level strategy with implementation and guide engineering teams with clear patterns, reference architectures, and best-practice recommendations
• Lead technical decision-making across multiple teams, providing mentorship, design reviews, and hands-on support to drive platform consistency and quality
• Drive proactive improvements across the platform, identifying scaling issues, reliability gaps, or operational inefficiencies before they become problems
• Design and implement secure, compliant, and highly observable Kubernetes environments, integrating monitoring, logging, and alerting systems
• Lead and support the migration of non-cloud-native applications to the new infrastructure, assessing readiness and implementing best practices for scalability and maintainability
• Champion automation and GitOps practices to reduce manual work, eliminate drift, and improve release velocity
• Lead cross-team initiatives and influence technical direction outside your immediate organization, driving adoption of cloud-native best practices
• Participate in on-call rotations and contribute to incident response and root cause analysis

What does it take to work at LastPass?

• Expertise in Kubernetes cluster architecture and operations, including designing and maintaining multi-node clusters for performance, scalability, and fault tolerance
• Proficiency with service mesh technologies to manage observability, security, and traffic routing, along with experience implementing auto-scaling, optimizing resource utilization, and planning rolling upgrades and disaster recovery scenarios with zero downtime
• Solid knowledge of and experience with AWS and EKS
• Ability to assess application readiness and provide migration strategies for different application types while ensuring minimal disruption during transitions
• Automation mindset with the drive to identify and automate repetitive tasks and manual processes
• Experience with observability tools such as DataDog to ensure high uptime and fast issue resolution
• Strong problem-solving and troubleshooting abilities, with a collaborative, team-oriented approach and a can-do attitude
• Effective communication and collaboration skills across stakeholder groups of varied technical backgrounds, with strong written and verbal English proficiency
• Fluency with AI tools and large language models to support platform engineering, automation, and operational efficiency

It’s great, but not required:

• General familiarity with AI tools and large language models (e.g., Claude by Anthropic, AWS Bedrock)
• Experience with multiple IaC languages (CDK with TypeScript, CloudFormation)
• GitOps practices, including ArgoCD experience
• Multi-cloud experience (AWS required, Azure nice to have)

LastPass is looking for a Staff Kubernetes Engineer:

As a Staff Kubernetes Engineer, you will have a strong focus on Kubernetes operations to design, build, and maintain cloud-native infrastructure using Infrastructure as Code and following GitOps principles and tooling. You will orchestrate scalable containerized applications, streamline cluster operations while ensuring high availability through automated deployments and observability over our infrastructure.

About the Team:

Our team sits at the core of LastPass’s Platform Engineering cluster, delivering a streamlined platform that reduces complexity and speeds up delivery. We manage the company’s entire Kubernetes environment, operating EKS clusters, overseeing container lifecycle and reliability, and providing developer tooling that enables teams to deploy and scale applications efficiently and securely.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will be part of a dedicated team within LastPass, shaping future infrastructure, enabling seamless application delivery, and driving DevOps best practices across the organization. Leveraging your technical expertise, you will collaborate closely with architecture and security teams to ensure services remain secure, reliable, maintainable, and scalable.

What are some of the exciting challenges you will be working on?

• Own the architecture, design, and evolution of our Kubernetes-based platform on AWS, ensuring scalability, resilience, and operational excellence
• Develop, maintain, and optimize Kubernetes infrastructure using Infrastructure as Code (CDK), enforcing best practices and architectural standards
• Act as the technical guide and domain expert for Kubernetes architecture, collaborating closely with the Architecture team to bridge high-level strategy with implementation and guide engineering teams with clear patterns, reference architectures, and best-practice recommendations
• Lead technical decision-making across multiple teams, providing mentorship, design reviews, and hands-on support to drive platform consistency and quality
• Drive proactive improvements across the platform, identifying scaling issues, reliability gaps, or operational inefficiencies before they become problems
• Design and implement secure, compliant, and highly observable Kubernetes environments, integrating monitoring, logging, and alerting systems
• Lead and support the migration of non-cloud-native applications to the new infrastructure, assessing readiness and implementing best practices for scalability and maintainability
• Champion automation and GitOps practices to reduce manual work, eliminate drift, and improve release velocity
• Lead cross-team initiatives and influence technical direction outside your immediate organization, driving adoption of cloud-native best practices
• Participate in on-call rotations and contribute to incident response and root cause analysis

What does it take to work at LastPass?

• Expertise in Kubernetes cluster architecture and operations, including designing and maintaining multi-node clusters for performance, scalability, and fault tolerance
• Proficiency with service mesh technologies to manage observability, security, and traffic routing, along with experience implementing auto-scaling, optimizing resource utilization, and planning rolling upgrades and disaster recovery scenarios with zero downtime
• Solid knowledge of and experience with AWS and EKS
• Ability to assess application readiness and provide migration strategies for different application types while ensuring minimal disruption during transitions
• Automation mindset with the drive to identify and automate repetitive tasks and manual processes
• Experience with observability tools such as DataDog to ensure high uptime and fast issue resolution
• Strong problem-solving and troubleshooting abilities, with a collaborative, team-oriented approach and a can-do attitude
• Effective communication and collaboration skills across stakeholder groups of varied technical backgrounds, with strong written and verbal English proficiency
• Fluency with AI tools and large language models to support platform engineering, automation, and operational efficiency

It’s great, but not required:

• General familiarity with AI tools and large language models (e.g., Claude by Anthropic, AWS Bedrock)
• Experience with multiple IaC languages (CDK with TypeScript, CloudFormation)
• GitOps practices, including ArgoCD experience
• Multi-cloud experience (AWS required, Azure nice to have)

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

This role is suitable for experienced Data Engineers with 3 years plus of experience, so only apply for this role if your experience matches that criteria. This is a Data Platform Engineering role sitting within our Platform Engineering department, alongside our Infrastructure and Dev Platforms teams. You will be building the data platform that the rest of DataCamp depends on, not doing analytics work for a single business unit.

DataCamp, being a data-driven organization, runs a Datalakehouse on Google Cloud's BigQuery and our reporting is created using our Looker BI tooling. This BI reporting capability helps the DataCamp leadership team steer the company OKRs and vision, and it also helps our engineering teams make data-driven decisions on everything we do. Data also helps us measure how successful our product features or initiatives have been.

To provide data analytics for all our staff, DataCamp has a completely automated data pipeline built using an "infrastructure as code" methodology with Terraform and Ansible, which allows infrastructure provisioning of all data engineering tooling. DataCamp operates a data pipeline that ingests data using Airbyte, and our Airflow cluster schedules a series of tasks each day to transform and clean our data and seed our data marts that are authored using DBT, which helps simplify reporting for each of our business units.

DataCamp currently has data marts for finance, engineering KPIs, engineering costs, and infrastructure cost, to make reporting as easy as possible for our stakeholders in those business units, and we aim to extend that offering. DataCamp's leadership team, data scientists, data analysts and engineers all require the latest datasets to be refreshed on a daily basis so they can do their daily tasks. It is expected that the data platform engineering team makes sure there are no issues with the daily refresh of data and also provides consultancy on best practices such as data ingestion, data mart design, or data product design.

A large part of this role is enabling AI agents and MCPs across the company. We are in a strong agent-first engineering push at DataCamp. That means the data platform is no longer just serving humans through Looker dashboards, it is serving Claude, Claude Code and other agents through MCP servers that expose BigQuery, dbt metadata, data marts and internal tooling in a safe, governed way. You will be building and maintaining those MCPs, shaping how teams across DataCamp get data into their agent workflows, and setting the standards for how agent-authored changes land in our data platform.

What to expect from DataCamp if you join us as a Data Engineer

It will be your role, as part of the Platform Engineering department, to work directly with our staff data engineer, the wider platform engineering teams, our data science and analytics teams, and stakeholders across product and engineering on all data initiatives, both internally and as part of DataCamp's data products.

You should join us at DataCamp if you want to be fully supported in learning how to create and maintain best-in-class data platform engineering processes in an agent-first environment. If you enjoy learning in a team environment, our data and platform experts will be on hand to provide a support network to help you in your career development. You will also be empowered to have creative freedom to shape the processes and roadmap for data platform engineering at DataCamp, including how we expose data to agents, how we govern agent access to production data, and how we measure the impact of agent-assisted data work.

You will spend a meaningful portion of your time working with and through AI agents, writing AGENTS.md specifications, building MCP connectors, designing skills, and using Claude Code day to day to move faster on pipeline work, dbt changes, and operational tasks. If all of this sounds exciting, then this could be the ideal job for you. We don't expect you to know everything when you join, but we want you to be as passionate about data and agent workflows as we are. What we expect in return is that you are naturally inquisitive, open to constructive feedback, and willing to learn and grow every day.

This role should give you a collaborative working environment to become a world-class data platform engineer and help you in your career. Our aim is for you to build the skills needed to consult and advise on data mart design, data product design, MCP architecture, and how to leverage AI agents to improve our internal processes. You will also be involved in helping our content team provide data engineering courses on Redshift, BigQuery, Snowflake, and all the different widely used data warehousing tooling. This may sound like a lot, and it is, but within our Platform Engineering department we are confident we can support you every step of the way and we can achieve these outcomes as a team.

What do we expect from you as a Data Engineer

DataCamp has a strong bias towards providing self-serve systems for our teams so they can access the data they need to make data-driven decisions. That bias now extends to agents, where teams should be able to reach data through MCPs without us becoming a bottleneck. This means the data pipeline, MCP surfaces, and data development process need to be available, governed, and functional rather than a central bottleneck in the company.

You will, under the guidance of our staff data engineer, play a key part in planning future improvements for our whole data platform: the pipeline itself, the data development process, the testing process for data changes, and the agent and MCP surfaces that sit on top of it.

We need you to be enthusiastic and proactive by owning your day-to-day work or any operational issues that occur. We aim to do 80 percent capability development via planned quarterly OKR work and 20 percent support work. This work balance can only be achieved by automating everything we do and by leaning hard on agents to remove toil. We believe Data Platform Engineering should be a force multiplier for the business — both by giving humans self-serve data and by giving every team a reliable agent-accessible path to the data they need.

To be successful in the role it is essential you know Python and can write and advise on SQL best practices. Having an understanding of data ingestion, data processing, reverse ETL, a passion for data governance, and acting as a gatekeeper for security on our data platform is also a must. Comfort working with and through AI agents, not just using them to autocomplete, but designing workflows around them is also essential.

The ideal candidate

• Is an experienced Data Engineer of 3 years plus.
• Has experience of data warehousing (e.g. BigQuery or Snowflake) and data engineering related tools (e.g. Airflow, Looker, Metabase, Fivetran, Airbyte).
• Has knowledge of cloud platforms (AWS, GCP or Azure).
• Can develop in Python and write SQL.
• Has hands-on experience using AI coding agents (Claude Code, Cursor, or similar) as part of their day-to-day engineering workflow.
• Understands what MCP is, or is willing to learn it fast, and can reason about how to safely expose data and tooling to agents.
• Understands Scrum and Kanban.
• Has excellent oral and written communication skills, including the ability to write clear specifications for agents (AGENTS.md, skills, prompts).
• Is interested in understanding and scaling complex data pipelines.
• Is interested in monitoring and self-healing systems.
• Is highly organized with a flexible, can-do attitude and a willingness and aptitude for learning.
• Improves the team with code reviews, technical discussions, and documentation — including reviewing agent-authored PRs with a critical eye.
• Is able to work collaboratively in teams and develop meaningful relationships to achieve common goals.

It's a plus if

• You have experience in dbt.
• You have experience in Docker, CI/CD, Kubernetes.
• You have experience of data marts.
• You have experience with Infrastructure as Code (Terraform, Ansible, etc.).
• You have built or contributed to an MCP server, or integrated one into an agent workflow.
• You have experience with data catalog and governance tooling exposed through agent interfaces.
• You are passionate about data science, education, and applying AI agents to real engineering problems.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

ComplyAdvantage Technology

At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

What you will be doing

As a Machine Learning Engineer, you will: 

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
• Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• We make substantial use of  modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
• We use modern observability solutions (Grafana) and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

• Experience maintaining and scaling machine learning-powered applications in production environments.
• Experience building scalable backend applications (preferably with Python).
• A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
• Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.

Nice to have:

• Experience working with PySpark or other distributed data processing frameworks.
• Background in building data-intensive applications or distributed systems using map-reduce style architectures.
• Familiarity with event-driven or microservice architectures.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development

In this pivotal role as a Senior Network Engineer, you will join a team of experienced network engineers at the forefront of shaping and expanding the worldwide infrastructure of a dynamic and growing company. Your core mandate will involve implementing and operating cutting-edge enterprise network solutions. Guided by our strategic vision, you will assist in deploying key initiatives in Europe and in other parts of the globe.

Main duties and responsibilities

• Planning, documenting, and performing network changes/extensions.
• Orchestration of firewall rules and underlying network settings.
• Designing and documenting the corporate network architecture (LAN/WAN/WLAN/SECURITY).
• Network security experience and awareness.
• Operating and monitoring of the corporate network infrastructure.
• Providing next level network infrastructure related support.
• Designing network aspects of disaster recovery and operational security.
• Maintaining, auditing, and improving corporate network & security standards.
• Performing network related root cause analysis (RCA) and problem resolution.
• Defining, monitoring, and reporting KPIs for network services/devices.
• Managing proof of concepts, feasibility studies and other corporate initiatives.
• Hands-on experience in SDWAN technology, network design, and implementation preferred.
• Acting as project leader for network related activities/projects.

Reporting and collaboration

• The holder of the position reports directly to Senior Networking management.
• The position requires excellent communications skills along inter-department collaboration.

Profile and education

• Relevant network/IT related education (academic degree preferred).
• Must have or be actively working towards certifications such as CCNP, PCNSA, or PCNSE.
• Excellent understanding of corporate network & data center application architecture concepts.
• Excellent analytic skills.
• Excellent understanding of these technical areas below:
• Security & firewall infrastructure (Palo Alto, Multivendor) - mandatory
• Network infrastructure (Cisco, Arista) - mandatory
• Cloud platforms (AWS, Azure, Google Cloud)
• Wireless network infrastructure (Aruba HPE wireless cloud central)
• VPN technologies/infrastructure
• Network design/management
• Network automation
• Network technologies (Layer1-Layer4)
• Good communication & technical writing skills.
• Good team player.
• Independent, goal-oriented, and self-motivating personality.
• Passion to deliver high quality standard levels.
• Accuracy and high-risk awareness.
• Excellent English language skills (oral & written).
• Willingness to travel and to perform standby on-calls.

Specific skills and knowledge

• Min 5 years of professional experience in senior network engineering roles.
• SolarWinds configuration and management.
• Practical experience in enterprise network & security Plan/Build/Run setup.
• Hands-on experience with Palo Alto firewalls, Arista switches, and Aruba wireless solutions.
• Work experience within an international/multicultural environment preferred.
• Ability to work with teams distributed in different time zones.

Benefits:

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

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

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

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

About COFRA Holding AG

COFRA Holding AG is a family-owned group, headquartered in Switzerland, with operations in Europe, the Americas and Asia. COFRA has a diverse portfolio of investment businesses in private equity (Bregal Investments), real estate (Redevco) and asset management (Anthos Fund & Asset Management). Businesses and investments are also held in retail, clean energy and sustainable food. Through business, COFRA strives to be a force for good in the world – a mission that began over 180 years ago. Today, we actively direct our expertise, energy and capital into businesses and investments that we believe have the potential to create superior value.

Think about Digital Applications differently and make a real impact

A welcoming and supportive setting where you can develop and make a real difference in the world – that’s what you’ll find at COFRA. We’re a family business, geared to creating lasting value and united by an ambition to change industries and society for the better. Aspiration and entrepreneurism are encouraged and rewarded with opportunity. Teams are diverse yet close-knit. Relationships matter. People matter.

What we can achieve together

One of our greatest strengths is our people: talented, dedicated professionals who are true experts in their field, committed to the pursuit of excellence and open to new opportunities and ways of capturing them.

We're looking for an experienced Digital Application Owner to join our COFRA team in Porto. You will join a multi-generational family business with a commitment to achieve systemic change across Liveable Cities, Responsible Capital, Clean Energy and Sustainable Food together with our management teams and mission-aligned external partners.

About the role

The Digital Application Owner for Core Finance Platforms (D365 F&O, OneStream, Concur, ExFlow) is responsible for the end‑to‑end governance, configuration, and performance of the Group’s core financial applications. This role ensures that these platforms operate as a unified, scalable, secure, and well‑integrated ecosystem, fully aligned with the Group’s business objectives and IT/Technology Operating Model, including shared standards for technology, data, and processes.

Acting as the functional product owner for all finance‑related digital applications, the role is accountable for defining and maintaining shared templates, managing enhancement roadmaps, governing change and release cycles, and driving business adoption across all entities.

A key strategic aspect of the role is orchestrating effective collaboration between internal teams and an external delivery partner to ensure high‑quality delivery, reliable support, and continuous improvement of the finance application landscape.

Key responsibilities include:

• Govern the Group’s core finance applications (D365 F&O, OneStream, Concur) as a unified ecosystem, ensuring full alignment with the Group Finance Operating Model.
• Define, maintain, and enforce global templates, configuration standards, workflows, data models, and integration rules across all entities.
• Own and manage the application roadmap, enhancement pipeline, and development backlog, prioritising initiatives based on business value, standardisation benefits, and risk mitigation.
• Lead the design, governance, and optimisation of end‑to‑end integrations between finance platforms, analytics environments, and shared Group systems.
• Establish, monitor, and report KPIs related to platform performance, user adoption, data quality, and operational stability.
• Ensure all core finance applications comply with Group governance frameworks, audit requirements, and security‑by‑design principles in close collaboration with Group IT and Information Security.
• Coordinate with the Data & Digital Hub to embed cross‑platform automation, reusable components, and shared digital services.
• Manage and steer external implementation and support partners, ensuring high‑quality delivery, SLA compliance, and cost transparency.
• Lead structured release management activities, including sprint planning, user acceptance testing (UAT), regression testing, and deployment across all platforms.
• Drive continuous improvement by identifying process inefficiencies, user pain points, and automation opportunities, translating them into actionable platform enhancements.
• Oversee incident management, issue resolution, and root‑cause analysis in collaboration with vendors and external partners.
• Maintain comprehensive platform documentation, configuration records, and knowledge repositories to ensure long‑term sustainability.
• Provide training materials, onboarding support, and functional guidance to super‑users, finance users, and local application owners.
• Act as the primary escalation point for cross‑system and cross‑entity issues, coordinating resolution with relevant stakeholders and partners.
• High proficiency in Power Apps.
• High proficiency in Power BI.
• Strong understanding of enterprise IT landscapes, including hardware platforms, software applications, and service delivery models.
• Advanced knowledge of IT project and portfolio management.
• High proficiency in modern technology platforms (e.g. Azure, Microsoft 365, related cloud services).
• Proven ability to translate business processes and requirements into technical specifications and solution designs.
• Strong technical aptitude and problem‑solving skills, with the ability to manage complex platforms, integrations, and operational risks.

What You Bring

• 3–6 years of relevant professional experience in enterprise finance platforms and business systems.
• Bachelor’s Degree or equivalent professional experience.
• Deep platform expertise across D365 Finance & Operations, OneStream (consolidation & planning) and Concur (Travel & Expense).
• Strong understanding of finance processes, including consolidation, budgeting and forecasting, general ledger, AP/AR, project accounting, procurement, and T&E policies and compliance.
• Proven solution design and integration capability, with hands-on experience in Azure-based integrations, Power Platform, APIs, data pipelines and workflow automation.
• Solid data governance awareness, covering master data management, financial hierarchies, dimensional modelling, data controls and consistency across entities.
• Change management and adoption leadership, ensuring cross-entity alignment and consistent use of finance platforms and processes.
• Experience managing vendors and external partners, ensuring delivery quality, SLA compliance and cost transparency.
• Strong cross-functional collaboration skills, working closely with Finance, Group IT, Data Governance, Procurement, HR and local entity teams.
• Structured delivery and lifecycle governance expertise, including sprint planning, UAT coordination, release management, documentation and risk mitigation.
• Strong analytical and problem-solving skills, with the ability to resolve complex cross-platform issues and drive continuous improvement.
• English (required).

What we offer you in return

The opportunity itself is a great way to have a direct impact on the Group and realize potential across a multitude of areas.

COFRA offers notable benefits. Also, training and development is provided to all COFRA employees.

COFRA is an Equal Opportunity Employer and does not discriminate on the basis of age, race, colour, sex, sexual orientation, gender identity, religion, national origin or disability. None of this gets in the way of hiring and retaining the best people.

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.

Position Overview

We are seeking a highly skilled DevOps/Cloud Platform Engineer to join our engineering organization and help drive the next generation of our infrastructure and CICD platform capabilities. In this role, you will be an integral part of our CICD release process, responsible for designing, operating, and optimizing CICD runners and environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable, and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure our systems are scalable, resilient, and easy to use.

The ideal candidate brings a strong blend of CICD knowledge, cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity.

This is an operations role for someone who thrives in solving complex technical problems, improving processes, and building platforms that accelerate engineering velocity.

What you'll do:

• Develop, enhance, and maintain CI/CD self-hosted infrastructure using modern DevOps tooling (GitHub Actions Runners stack, ArgoCD, FluxCD etc.).

• Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages.

• Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, etc.).

• Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions

• Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization.

• Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity.

• Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls.

• Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows.

Your Experience:

• 4-8+ years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles.

• Familiar with GIT and comfortable with at least one systems programming language (C/C++, golang) and one scripting language (python, bash).

• Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack).

• Working knowledge of at least one of observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting.

• Strong hands on experience with Kubernetes management in production environments

• Experience designing, developing, and/or troubleshooting distributed systems.

• Comfort with shells on *nix family systems.

• B.S. degree or equivalent experience in Engineering, Computer Science or a related field.

Preferred Qualifications:

• Hands-on experience building CI/CD pipelines from a user perspective (GitHub Workflows, GitLab pipelines, etc)

• Certifications from cloud service providers (AWS DevOps, GCP Devops Eng, etc)

• Natural curiosity or drive to learn about new or adjacent technologies.

• Experience applying AI/ML tools (GitHub Copilot, cloud AI services, LLM-based automations, anomaly detection tooling, etc.) to streamline DevOps and infrastructure workflows is a strong plus.

• Hands-on experience implementing AI-enhanced threat detection systems.

About us:

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

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

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

Position Overview

SingleStore is seeking a Site Reliability Engineer to help optimize and scale our managed service offering across all three major cloud providers. In this role, you will be at the intersection of leading technology trends – A highly performant distributed database, managed by Kubernetes, running in the cloud.  This is a great opportunity to push the boundaries with a cloud focused SRE role.  

This is a development role, requiring an engineering mindset to solve operational challenges.  You will be part of a globally distributed team of engineers, helping to drive SRE practices across the company.  Through infrastructure automation, you will help us grow our service across multiple cloud platforms.  This requires a relentless focus on eliminating manual processes.  You will also leverage our monitoring platform to improve the overall customer experience by systematically identifying and fixing any issues impacting our customers.  As an SRE, you will also help diagnose issues on the platform, leveraging a deep understanding of the SingleStore query engine along with the backend infrastructure.  

What you'll do:

• Develop automation platform to manage infrastructure rollouts across cloud providers
• Optimize telemetry platform to identify customer impacting events while providing relevant data to drive debugging
• Partner with engineering team to optimize performance of services for cloud architecture
• Debug Live Site events and conduct follow-up postmortem and RCA analysis
• Participate in an SLA-driven on-call rotation, which will include after-hours, weekend, and rotating holiday participation.

Your Experience:

• Infrastructure automation experience. Python and Golang a plus.  
• Knowledge of Kubernetes and the container ecosystem
• Strong cross group collaboration and communication skills
• Familiar with at least one of AWS, Azure, or Google Cloud
• Experience debugging, diagnosing and troubleshooting complex, production software
• B.S. Degree in Computer Science or related field

About us:

SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

We are looking for driven, talented Junior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime! We are building solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals. 

As a Junior Software Engineer, you will:

• Be working alongside other software engineers within the Team.
• Write new features that enable our platform to analyse information about individuals, apply ML models to categorize their actions, and merge all this with existing data we hold. Your work will allow our customers to find out who has done something bad, what they did, and when.
• Help us deliver new features and maintain our platform as we apply new technologies and scale our systems.  
• Learn quickly and be able to adopt the technologies we use to develop code and deploy it to Kubernetes.  
• Contribute to sprint planning and be able to demo the features you’ve worked on to stakeholders.
• Be responsible for the quality of your code and will be expected to write tests and take ownership of systems that ensure the quality of our code.
• Adopt best practices (and be able to suggest improvements to them), to get code from initial requirements to deployed services in production.

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin for our backend services. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte.
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol.
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD.

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Software Engineer, you will have:

• Motivated in writing production-grade applications and in writing unit tests and understand the importance of testing
• Interested in working with large scalable systems 
• It would be nice if you had exposure working in a multi-disciplinary team (ML Engineers and Product)
• Fascinated by working in cloud (AWS/Azure/GCP) or containerized infrastructure (Kubernetes/Docker/Jenkins) would be great;
• Want to explore an agile environment and understand how valuable pair programming is to Engineering practices.

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

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

We’re looking for an Application Support Specialist to ensure the stability, performance, and availability of business applications and systems used by internal teams. You will troubleshoot incidents, handle service requests, provide licenses, make payments, collaborate with engineering/product teams, and drive root-cause analysis to prevent recurring issues. This role requires strong technical troubleshooting, clear communication, and a structured approach to incident management.

✅ Duties and Responsibilities:

• Provide L2 application support for business systems and software (web apps, software APIs, Corporate IT and backoffice tools, SaaS platforms).
• Triage, troubleshoot, and resolve incidents and requests within agreed SLAs.
• Investigate issues using logs, monitoring tools and API testing.
• Perform root-cause analysis (RCA) and document findings, fixes, and preventive actions.
• Provide software licenses to the employees.
• Support systems: Maintain records of over 400 software units, grant/revoke access, verify access rights according to RBAC, write documentation
• Identify recurring problems and drive automation or process improvements to reduce ticket volume.
• Communicate updates to stakeholders during incidents (status, workaround, ETA, resolution).
• Participate in on-call/shift rotation if required.
• Incident/problem management: Working with Atlassian (Jira Service Desk, Software, Confluence)
• Full software management cycle within the company (implementation, support, procurement/payment, renewal, user management, system deactivation, access rights verification, automation)
• Technical Knowledge: Atlassian (Jira, Confluence), Microsoft 365, Trelica, Grafana, Okta, SAP/Dynamics, N8N, scripting, Postman.

✅ Requirements:

• 3+ years in application support / technical support / service operations (L2).
• Strong troubleshooting skills for web applications (HTTP, REST, auth basics, dev tools, SaaS Management tool).
• Experience working with ticketing systems (Jira Service Management, Software, Confluence.)
• Ability to read and interpret logs; familiarity with monitoring/alerting (Grafana, Kibana, Datadog).
• Scripting for automation (Python/Bash/PowerShell).
• Understanding of incident/problem management (ITIL concepts are a plus).
• Comfortable communicating with both technical and non-technical stakeholders.
• Strong documentation habits and attention to detail.
• Proactive and goal oriented mindset.

✅ Nice to have:

• Experience with Linux basics, containers, or cloud platforms (AWS/Azure/GCP).
• Basic understanding of networking (DNS, latency, firewalls) and SSO concepts.
• Strong experience with API tools (Postman/Insomnia) and message queues (Kafka/RabbitMQ).
• Experience working with a huge amount of systems.
• The desire and ability to organise and manage a large number of systems from scratch.

✅ We offer excellent benefits, including but not limited to:

💻 Learning and development opportunities and interesting, challenging tasks.
✈️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members).
📚 Opportunity to develop language skills, with partial compensation for the cost of English and Portuguese language classes (for localization purposes).
🎾  Partial compensation for tennis and padel lessons.
🏀 Urban Sport membership benefit (the most diverse sports and wellness offering in Europe, with more than 50+ activities).
🏥 Private medical coverage, including inpatient, outpatient, dental care, annual check-ups, and maternity support.
🏝 Time for proper rest, with 24 non-business days per year and an additional 6 paid sick days.
🚌 Transport compensation - 200 euros net per month.
📈 Competitive remuneration level with annual review.
🤝 Teambuilding activities.

The Security Team keeps Feedzai products and systems secure. We work on risk reduction and security issue mitigation as we continue to move forward and grow. We maintain compliance and security best practices aligned with industry standards, as we work in a very regulated environment and do develop our own software and services. The Security Team is involved from the beginning of production to meet and exceed our client expectations and be the top SME in the industry. We run our own Security Operations Center services and incident response with state of the art tools. We are dynamic, tenacious, and driven by our passion for fighting financial fraud and crime with our socially responsible products. Join Us!

You:

We are looking for a Senior Security Compliance Engineer. You will be responsible for making sure that both our software & our infrastructure is safe, helping to protect our customers. 

Your Day to Day:

• Ensure compliance with core applicable standards and regulations (PCI DSS, ISO/IEC 27001 and 27701, SOC 2, NIST, GDPR) & participate in the audit processes;
• Support clients, vendors, and regulatory audits, assessments, and information security requests;
• Review, implement and oversight the effectiveness of Feedzai's security framework as well as ensuring their effectiveness;
• Perform security risk assessments and provide prioritized remediation recommendations;
• Develop, review, and maintain policies, processes, and standards and implement procedures, controls, and other measures to ensure compliance with internal and legal regulations and requirements.

You have & You Know-How

• Knowledge of compliance and regulatory frameworks (PCI DSS, ISO/IEC 27001, SOC 2, NIST, CIS, GDPR, etc.);
• Understanding of cloud security concepts (e.g.: Amazon Web Services (AWS) IAM, GCP or Azure security principles, etc.) and integrating security controls through DevOps and Infrastructure as a Service (IaaS) techniques;
• Excellent communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.
• Knowledge of container orchestration systems such as Kubernetes is welcomed.
• Experience working with Generative AI (GenAI) tools is a plus.

 #LI-Remote #LI-MG3