We are looking for a creative, diligent Senior Software Engineering Manager who will be responsible for driving the engineering teams researching and developing the next generation of PlayStation's testing technology. This technology - including automation tools, framework and CI infrastructure - is used to analyze the quality of front end workflows on the PS5.

As a Senior Manager, Software Engineering (Quality Engineering), you will lead and develop a team responsible for ensuring high-quality software delivery across multiple products and platforms. This role shapes quality strategy, drives engineering excellence, and enables efficient, reliable release processes. You will work cross-functionally and lead a distributed team across locations, embedding quality practices throughout the development lifecycle. The position entails collaboration with quality management leadership, different internal departments, as well as open source software communities. Together we will build an environment oriented to trust, open communication, creative thinking and cohesive team effort. You will also work closely with your peers and leadership to establish project prioritisation, team goals and overall quality.

What you'll be doing:

• Lead, mentor, and develop a distributed team of quality engineers across multiple products and platforms.
• Manage and support remote team members, fostering effective collaboration across geographically dispersed teams.
• Define team member development and career path opportunities with team members and mentor them to achieve goals.
• Monitor and review everyone’s performance, deliver regular performance appraisals.
• Manage team capacity planning, hiring, onboarding and ensure effective succession planning for your teams.
• Lead day-to-day activities of engineering team using Agile/Scrum methodology.
• Define and implement quality engineering strategy, vision, and best practices to support reliable and efficient software delivery.
• Partner with product and development teams to define test strategies, acceptance criteria, and release plans.
• Identify, assess, and communicate risks to delivery timelines and product quality.
• Lead all aspects of delivery for general technical architecture and infrastructure to support the continued development of projects, including tools and pipelines.
• Research and craft new tools for overcoming inefficient processes by automating work.
• Advocate for reducing technical debt, improving test coverage, and maintaining engineering standards.
• Lead retrospective analysis of activities and champion continuous process improvement.

What We’re Looking For:

• At least five years in a people management role. Proven success in people management including mentorship. Past experience supervising people managers is strongly preferred.
• Effective leading of multiple Agile teams in quality and testing engineering domains. (Software engineering managers with deep experience and understanding of testing groups and processes should also apply.)
• Outstanding verbal and written communication skills, which encompass presenting to senior leadership, product managers, software engineers, project managers, and customers.
• Significant experience with software engineering practices, software automation and testing systems (for example, Jenkins).
• Proficient in Python programming. Enough C++ experience to provide guidance in larger architectural discussion and occasional code review.
• A solid understanding of the software development lifecycle, and applying proven software methodologies to testing and driving reductions in technical debt.            

Nice-to-haves

• Machine learning background.
• Prior experience with console or PC game development.
• Past experience with cloud computing and containerization.
• Development and debugging tools experience on Windows.

This senior role focuses on strengthening the quality engineering foundation for our SDK by developing robust automation, scalable CI/CD systems, and effective test strategies. You will work closely with cross-functional partners to enhance test coverage, improve workflows, and ensure reliable delivery across multiple platforms. The role requires strong technical depth, collaborative working, and the ability to drive meaningful impact quickly.

What you’ll be doing

• Designing, implementing, and maintaining CI/CD pipelines to support build, test, and release workflows.
• Developing automation and tooling in Python to streamline test orchestration and system validation.
• Creating and running automated tests across unit, integration, and system layers.
• Debugging and diagnosing issues across build, test, and deployment environments.
• Supporting Linux and Windows development environments and contributing to cross-platform scripting.
• Applying modern test frameworks and quality metrics to improve test strategy and reporting.
• Collaborating closely with multiple SDK teams to align on shared initiatives.
• Participating in rotational assignments to deepen domain expertise and broaden cross-project knowledge.
• Coordinating with teams across London, Bristol, and Dublin, including occasional travel as needed.
• Mentoring peers, sharing best practices, and influencing quality engineering approaches.

What we are looking for

• Experience building and maintaining CI/CD pipelines (Jenkins/Groovy or equivalent).
• Strong Python 3 skills for automation, tooling, and test orchestration.
• Experience developing and executing automated tests at multiple levels.
• Fluency with Linux and Windows development environments.
• Proficiency with scripting languages such as python, bash, or PowerShell.
• Ability to diagnose and resolve issues across complex build and test systems.
• Familiarity with test frameworks such as pytest, GTest, or similar.
• Understanding of software quality metrics, reporting, and test strategy.
• Experience or awareness in one or more additional areas: C/C++, CMake, C#, Rust, .NET, Docker, Kubernetes, VM orchestration, graphics APIs, AIML/MLOps, or desktop app testing.
• Strong communication and collaboration skills, with the ability to work effectively across distributed teams and represent quality engineering perspectives.

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. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices, including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices, including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

The Role

Bottomline is looking for a Site Reliability Engineer with SecOps experience to grow with us in a Hybrid work environment out of our Theale, Reading UK office!

Candidates for this position must be authorized to work in the United Kingdom on a full-time basis for any employer without restriction.

Visa sponsorship will not be provided for this position.

The Site Reliability Engineer will work on many SecOps related tasks however this will not be their only focus!

We are looking for someone who is hands on and naturally steps into leadership — someone who learns fast, dives into complex topics, and takes ownership of the roadmap and outcomes across security and reliability.

You will harden our platforms and software supply chain, codify infrastructure, uplift observability, and improve 24×7 availability through automation. The role partners closely with application, platform, and security teams across regions and includes mentoring other engineers and leading cross-team initiatives to completion.

How you’ll contribute:

Strategy & Cross Team Ownership

• Shape and execute the SRE roadmap; author design docs; run design reviews; align stakeholders and timelines.
• Mentor engineers; drive knowledge sharing, transparent status/reporting, and continuous improvement. SecOps (including Vulnerability Management)
• Own the vulnerability lifecycle end to end: discovery, triage, risk-based prioritization, remediation, verification, and reporting.
• Operate and improve scanning across servers, containers, and images; maintain accurate in scope asset inventories.
• Plan/execute patch cycles for Linux and Windows; validate changes in lower environments; maintain rollbacks and change controls.
• Embed security in CI/CD (SAST/DAST, dependency scanning, SBOM + signing, policy checks); enforce minimum baseline policies for container images.
• Own certificates, keys, and secrets lifecycle with automated rotation and renewal.
• Partner with Security/GRC on policies, audits, evidence; document exceptions and time-bound risk acceptances.

SRE & Reliability

• Define SLOs/SLIs and manage error budgets; lead incident response and post incident improvements; coach on-call practice.
• Build and operate observability (metrics/logs/traces) using OTEL and Grafana; automate runbooks to reduce MTTR.
• Engineer resilient CI/CD (GitLab, Jenkins): progressive delivery, safe rollbacks, change validation, and release quality gates. Automation & Platform Engineering
• Design and maintain Terraform modules and configuration management (Puppet/Ansible); standardize platform baselines (OS, Kubernetes, middleware) and enforce policy-as-code.
• Consolidate and rationalize technical stacks to improve operational readiness and risk profiles. Stakeholders & Ways of Working
• Work with SRE engineers, and other Operation teams to schedule and deliver safe changes; partner with CISO; engage application teams for zero downtime or low risk deployments.
• Sharing ideas with the team and management to improve security and reliability
• Proposing new security tools, automation and processes
• Embracing new technologies and building business cases for their adoption

What will make you successful: 

• Fluent in English
• Systems: Strong Linux (RHEL/CentOS) and/or Windows Server administration in production environments.
• Vulnerability & Patch: Hands-on with scanners (e.g., Qualys/Defender VM) and patch orchestration; strong change control and rollback strategies.
• IaC & Config: Terraform; Ansible/Puppet (idempotent patterns); OS native patching (yum).
• CI/CD & Git: Working knowledge to embed scanning and compliance checks in pipelines (GitLab/Jenkins).
• Containers/K8s: Familiarity with Docker/Kubernetes and image scanning policies.
• Observability & SRE: Practical OTEL instrumentation and Grafana dashboards; SRE principles for availability and MTTR reduction.
• Security: Certificates, encryption standards, secure configuration baselines; secrets management.
• Scripting: Proficiency in Bash/PowerShell; working knowledge of Python or Go. Soft skills • Strong security and customer-service mindset
• Rigorous, methodical and risk-aware
• Recognized technical leadership and ownership
• Ability to remain calm and decisive under pressure
• Autonomous but able to work effectively within teams
• Excellent communication and stakeholder management skills

What We Offer: 

• Competitive salary and benefits package. 

• Opportunities for professional growth and advancement. 

• A collaborative and innovative work environment. 

• Flexible working arrangements. 

#LifeAtBottomline

#LI-DNI

Why Verifone

For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services, and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About The Role

We are seeking an experienced Senior Network Engineer to support the migration of critical applications from our Cisco-based on-premises data center infrastructure to Amazon Web Services (AWS). This is a high-impact role offering the opportunity to design, implement, and optimize cloud networking solutions while ensuring seamless transition and minimal downtime.

Key Responsibilities:

• Support planning, design, and execution of network infrastructure migration from on-premises Cisco-based systems to AWS cloud environment
• Map existing Cisco network configurations to AWS networking services (VPC, Transit Gateway, Direct Connect, NACLs, etc.)
• Develop and document comprehensive network architecture designs for AWS, including VPC configuration, routing, security groups, and network segmentation
• Configure and optimize AWS networking components including subnets, route tables, load balancers, and network interfaces
• Design and implement network security best practices including encryption, firewalls, DDoS protection, and compliance requirements
• Develop and execute comprehensive testing strategies to validate network performance, redundancy, and failover capabilities
• Identify and resolve network issues, optimize performance, and ensure reliability post-migration
• Create detailed technical documentation, runbooks, and operational procedures for the new AWS network Infrastructure
• Work closely with cloud architects, application teams, security, and infrastructure teams to align migration strategy

Skills and Experience We're Looking For

• MS in Computer Science or equivalent is preferred.
• Juniper, Cisco Professional or Expert certifications.
• 8-10+ years of network experience in configuring, managing and troubleshooting of Cisco
• Strong understanding of TCP/IP, DNS, DHCP, VPN, and network security protocols
• Strong BGP / OSPF protocols understanding, configuration and troubleshooting skills.
• Strong understanding of IPsec and SSL VPNs
• Experience with Cisco ASA firewalls and Cisco Nexus switches
• Experience with common network automation tools: Python, Perl or other scripting languages and tools i.e Ansible, Terraform, Jenkins
• Experience with AWS network and migrations from on-prem to AWS

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Optiver is looking for a Software Engineer to join our Developer Experience team. This team is crucial in building the tools and platforms that power our development workflows, enabling our engineers to work fast and with confidence. You’ll be responsible for building the infrastructure, tooling and automation that power the entire software development lifecycle, from local development to production deployment; the improvements you make to our developer environment will improve the daily workflow of hundreds of developers across multiple regions.

We’re looking for a strong engineer with a passion for improving developer experience, an awareness of modern tooling and workflows, with a track record of identifying and implementing high-impact productivity improvements. You’ll join a growing global team on a mission to improve every part of the developer experience at Optiver.

What you’ll do:

• Design, build and maintain scalable build systems used across the company, including core build libraries, common CI/CD pipelines and Docker images
• Develop tools and integrations that make the local develop-build-test iteration loop faster and more seamless - including IDE extensions, CLI tools and container-based workflows
• Automate processes to streamline the release and deployment lifecycle, enabling rapid, continuous deployment ​​
• Track emerging trends in Developer Experience and AI, exploring and supporting the integration adoption of AI assisted tools and coding agents ​into daily development workflows​
• Help us define meaningful metrics to measure and better quantify developer productivity​
• Partner with development teams to identify friction in their workflows and design solutions that simplify their set up, improve iteration speed and enhance productivity

See the team lead's opinion on why DevEx matters here.

Who you are:

• Beneficial to have familiarity designing and optimising containerised build workflows using tools such as Docker, Bazel, CMake, Ninja, Poetry etc
• Skilled in building CI workflows on platforms like GitHub Actions or Jenkins that provide fast, reliable feedback and automate repetitive tasks
• Strong coding fundamentals and experience across both scripting and compiled languages, with a focus on writing scalable, high-quality software
• Have strong engineering instincts and a deep understanding of the end-to-end lifecycle of software development from ideation to deployment
• Passionate about improving the developer experience; with a proven track record of initiating and successfully driving developer productivity improvements at scale through impactful tooling and automation 
• Curious, collaborative and eager to work in a high-performing environment that values continuous improvement
• Comfortable working autonomously and collaboratively, with a practical approach to solving real-world challenges ​

Who we are:

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.
In addition, you’ll receive:

• A competitive remuneration package, including a performance-based bonus structure.
• 27 paid vacation days plus all UK public holidays.
• Daily breakfast and lunch, along with support on commuting expenses.
• Private medical insurance, pension scheme, and ClassPass fitness membership.
• Training and continuous learning opportunities, including access to conferences and tech events.
• International transfer opportunities for global career growth.

How to apply:

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form. Please note, we cannot accept applications via email for data protection reasons. Kindly note that we do not require assistance from third-parties including agencies in the recruitment of this role.

Diversity statement:

Optiver is committed to diversity and inclusion.

Role Overview
In this Principal role, you will lead the design, build and operational excellence of core platform capabilities covering backend services, modern frontend applications, and critical platform infrastructure or APIs. You will drive architectural strategy, mentor senior engineers, collaborate at cross functional and technical leadership levels, and ensure the system scales reliably across global, enterprise use cases.

Key Responsibilities

• Define and implement the architecture and delivery of backend services and microservices, supporting high throughput, globally distributed systems.
• Lead frontend development using modern frameworks (React/Angular/Vue.js + TypeScript) for responsive, performant, enterprise grade applications.
• Drive design and implementation of containerization/Docker and orchestration (Kubernetes) for production scale deployment and standardization across teams.
• Partner with cross functional leaders (product, UX, QA, architecture) to shape roadmap, align technical strategy with business priorities and ensure rapid but sustainable delivery.
• Establish engineering best practices: code reviews, technical mentorship, continuous improvement, testing frameworks, CI/CD pipelines, observability and platform health.
• Own cloud-native delivery (AWS, GCP, Azure), infrastructure-as-code, monitoring and operational resilience for mission critical capabilities.
• Lead risk identification and mitigation, optimize system performance, ensure scalability and reliability across multi‑tenant enterprise environments.
• Act as a mentor and thought leader, enabling engineers across teams, contributing to onboarding, knowledge sharing, industry innovation, and engineering culture.

Required Skills & Experience

• Extensive professional software engineering experience (or analogous senior technical leadership) with deep expertise in Java and object-oriented design.
• Proven full stack development background: frontend (JavaScript, HTML, CSS) and backend (APIs, databases, distributed systems).
• Demonstrated experience with modern JavaScript frameworks (React, Angular, or Vue.js) and proficiency with TypeScript.
• Strong understanding of RESTful API design, relational databases (SQL) and large‑scale backend operations.
• Hands on with containerization and orchestration technologies (Docker, Kubernetes) in production.
• Experience using version control (Git) and agile methodologies (Scrum, Kanban) in global, cross team environments.
• Excellent analytical, problem-solving, communication and influencing skills, with the ability to engage with senior stakeholders and technical leaders.

Desirable Skills

• Deep experience with cloud platforms (AWS, GCP, Azure) and infrastructure automation (Terraform, Ansible).
• Familiarity with data streaming/event driven architectures (Kafka, Flink, Pulsar) and high throughput systems.
• Mature experience with CI/CD tooling (Jenkins, GitHub Actions) and micro frontend patterns.
• Strong testing & observability mindset (JUnit, Jest, Cypress) and performance optimisation.
• Prior experience in global engineering teams, mentoring senior and principal engineers, and setting engineering direction.

Soft Skills

• Demonstrated technical leadership and mentorship—capable of guiding others to drive technical excellence and elevate team delivery.
• Strategic thinker with business-oriented mindset: engineering decisions aligned with product and company goals.
• Agile, adaptable, curious—thrives in fastmoving environments, embraces change, and champions continuous improvement.

The Role

The Core Performance engineering team is looking for a junior to mid-level software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform.

Your Impact

• A Strong Engineer: You've worked on large codebases before, and know SOLID principles of software engineering
• Accountable and self-directed: You hold yourself to a high standard, work independently, and take responsibility for outcomes.
• Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility.
• Scale-oriented thinking: You look beyond individual fixes, create solutions that work across teams, and enable adoption through influence rather than mandate.
• Bias toward automation: You actively seek to eliminate repetitive work through automation and build durable solutions rather than manual processes.
• Data first: You are data-first, opinion second: you care about the quality of data provided for any decision, and you hold yourself to the highest standards of data quality
• You care about quality: You're an advocate for quality in everything you do, and review code with quality in mind as well as advocate for performance of the platform
• You get stuck in quickly: Anaplan moves fast, and you move faster to keep up with what's going on and how you can get involved
• Strong Convictions, held loosely: You advocate and are passionate, but are completely open to other voices and opinions

Your Skills

• Solid software engineering experience, working on large and complex systems
• Experience designing and building performant systems through sound engineering and architectural decisions
• Experience of delivering code into production and maintaining that code, working across both cloud and on-premise environments
• Experience diagnosing and resolving performance issues in production systems

Performance Engineer;

• Solid software engineering experience working on large or complex systems
• Hands-on experience with performance testing and familiarity with relevant performance testing tools
• Good understanding of system-level performance, including application, infrastructure, and network behaviour
• A code-first, automation-focused approach to performance engineering
• Experience working in cloud and or on-premise environments

Tech we use

• Java: We write many of our performance tests in Java, that compiles into jMeter
• jMeter: We performance test in jMeter
• Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our "Core Server" delivery
• Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customer

We are seeking a QA Tester to join our development team and own testing for both web and desktop applications. You’ll design and execute test plans, identify and report bugs, collaborate with developers and product managers, and help improve QA processes and automation.

Key Responsibilities

• Create, maintain, and execute test plans, test cases, and test suites for web and desktop apps.  
• Perform functional, regression, integration, UI, smoke, and exploratory testing.  
• Triage, document, and track defects in the issue tracker; verify fixes and perform re-testing.  
• Work with developers and product managers to clarify requirements and acceptance criteria.  
• Contribute to and maintain automated test scripts (UI/API) and test frameworks.  
• Participate in sprint planning, stand-ups, and retrospectives; provide input on quality and risk.  
• Help define and improve QA processes, test coverage, and release readiness criteria.  
• Produce clear test reports and metrics to inform release decisions.

Essential skills and experience 

• 2–5 years of hands-on QA experience testing web and desktop applications.  
• Strong understanding of SDLC, QA methodologies, and testing best practices.  
• Experience with manual testing and writing clear, reproducible bug reports.  
• Practical experience with at least one test automation tool or framework (e.g., Selenium, Playwright, Cypress, TestComplete, Robot Framework).  
• Familiarity with API testing tools (e.g., Postman, REST-assured).  
• Experience using issue trackers and CI/CD pipelines (e.g., Jira, GitHub/GitLab, Jenkins, CircleCI).  
• Basic scripting ability (e.g., JavaScript, Python, or similar) to write/maintain automated tests.  
• Strong analytical, problem-solving, and communication skills.

The Role:

As a Senior Solutions Architect specializing in containerized solutions, you will play a crucial, pioneering role in this new initiative. Your primary focus will be leading the deployment of these solutions within our customer environments.

Solutions Architects are vital members of our project teams, often serving as the initial technical point of contact for our customers and key technical stakeholders for a successful deployment of Celonis. To ensure our customers achieve value, you will drive the technical setup required to leverage the full range of Celonis features and functionalities, including process mining, execution management, process automation, Action Flow, and task mining.

Given the unique nature of every customer environment, you will be the key liaison for translating the customer's technical requirements to ensure successful deployment on the clients infrastructure and successful integrations with their source systems. Furthermore, you will lead discussions on user management and authentication, acting as a technical partner to remove any technical barriers to user adoption.

The work you’ll do:

• On Celonis side you are the key technical stakeholder for a successful technical delivery and onboarding of Celonis for enterprise clients.
• Lead technical discussions to analyze customer architecture, recommend optimal solutions, and facilitate deployment, managing expectations amidst technical constraints.
• Remove technical obstacles to maximize Celonis user adoption, clarifying technical risks and necessary tradeoffs.
• Promote reusability by choosing between dedicated customer solutions and broader platform enhancements in collaboration with Celonis product development.
• Establish real-time data integrations between customer systems and Celonis via APIs and internal tools.
• Guide customers on authentication, user/group management, and provisioning best practices. Thus, removing all technical barriers to drive user adoption of Celonis.

The qualifications you need:

• Proven experience of 3+ years deploying and managing containerized applications on Kubernetes.  Advanced knowledge with at least one specific Kubernetes distribution (Amazon EKS, Azure AKS, RedHat OpenShift, etc.).
• Eligibility for UK Security Check (SC) clearance is required; existing clearance is a strong advantage.
• Very good understanding of best practices in deploying, scaling, and maintaining highly available, secure and resilient containerized applications on Kubernetes, ensuring efficient resource utilization and operational stability. 
• Proven experience implementing infrastructure as code (IaC, e.g. with Terraform) is required; Helm or Kustomize experience is strongly preferred. Fluency with additional tools such as ArgoCD, Jenkins, GitHub Actions, Ansible, etc., is a plus.
• Experience with at least one of the major cloud platforms (AWS, Azure, GCP) would be a plus.
• Experience & interest in working with modern tech stack & methods like REST/SOAP API-Management, Data Ingestion & Streaming (Kafka or similar), SSO, LDAP, IT Security, Agile, etc.
• Experience in industry with experience to work on Python, SQL, data pipelines & ETL processes for large volumes of data is a plus.
• Knowledgeable about security and compliance topics for enterprise applications.Solid experience with project management, outstanding customer-centric & proven experience working with customers.
• A solution-oriented professional that enjoys deep technical discussions as much as transferring your technical knowledge into understandable terms to a broader audience

We are looking for a skilled Technical Lead Manager to join one of our dynamic technical teams, such as Passenger, Billing, etc. 

Responsibilities

• Managing the team of ~10 developers on a day-to-day basis: participating in planning, project management, delivery, career development for DRs, hiring
• Architect M- and L- sized features
• Work closely with cross-functional teams (designers, testers, product managers) to gather requirements and discuss project goals
• Participate in the analysis, design and evaluation of technical requirements together with the team
• Write clean, scalable, and efficient code mainly in Go language
• Review and give feedback on code written by peers to ensure consistency, readability, and efficiency
• Write and maintain technical documentation, including software design documents and user guides

Requirements

• 5+ years of experience developing scalable and reliable backend services
• Proficiency with Go/Ruby/Python/C++/Java/Kotlin languages
• In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc.
• Upper-Intermediate or higher English proficiency

Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis, AWS, Terraform, K8s, Jenkins.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £130,000 – £160,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

A Senior Technical Project Manager with a technical background required to join our eCommerce Team on a contract basis.

A Senior Technical Project Manager, with a technical background, who coordinates teams and releases across client environments. You encourage strong relationships with your team and have the ability to talk, at a technical level, with developers, testers and technical architects. You have an understanding of practices in development standards, including code reviews branching strategies, development principals and CI/CD.

Please bear in mind that working hours for this role need to align with USA: 11am to 7pm BST

Please note that this job is a contractual position located in London.

Please send us your CV in English.

What you’ll be doing:

• Build relationships with VML technical specialists
• Coordinate 3rd party product vendors, environments & client technical resources
• Oversee delivery of new infrastructure environments
• Working knowledge of Agile frameworks, in particular Scrum and Kanban
• Ability to inspire and lead technical teams and work with teams to achieve individual and team objectives
• Run effective sprint ceremonies, including stand-ups, sprint planning and estimation sessions, showcases and sprint retrospectives (using WISDOM Methodology)
• Support the efficient flow of work by helping the teams remove obstacles and make improvements
• High-level understanding of the software development life cycle and release management
• Involvement in release planning and execution
• Build customer confidence by understanding their needs & delivering first class solutions
• Set and managing client expectations.
• Issues and Risks identification, mitigation and resolution
• Identify technical debt and technical enhancements that would benefit the project in the long term
• Provide status reporting regarding project milestones, deliverable, dependencies, risks and issues, communicating to various audiences including key stakeholders and sponsors.
• Release and technical reporting regarding project/account technical deliverables, architecture and pipeline improvements       

What we want from you:

• Project Management experience, with ecommerce experience ideally within a retail environment.
• Technical understanding that enables log analysis and to identify potential issues
• Some previous experience of eCommerce frameworks and hosting solutions
• Understanding of cloud/on prem. Infrastructure
• Defining, managing and delivering to customer expectations within strict deadlines
• Full knowledge of the project lifecycle and experience of various project development methodologies (including Agile, Incremental and Waterfall)
• Comfortable with technical environments and legacy systems integration
• Some experience of code management tools such as git, bit bucket, svn
• Interested in the implementation of Jenkins, git or other release pipeline tools
• Ability to manage multiple 3rd parties
• Time management & organisational skills
• Negotiation skills and an ability to handle sensitive issues
• Relevant Project Management qualifications
• Proficient with Microsoft Office Packages, especially MS Excel and MS PowerPoint
• Excellent verbal and written communication skills in English

If you have this, even better:

• Experience of working with the Magento eCommerce platform
• A developer background or programming qualification is advantageous but not essential
• Knowledge of Azure and AWS DevOps Tooling
• Minimum BA/BS degree with a major in information management, marketing, communications, business or other closely-related areas is an advantage

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.

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

Who We Are

Hangar 13 is an internal 2K development studio that crafts unforgettable AAA gaming experiences across all major platforms . With studios in Brighton (UK), Brno, and Prague (CZ), we work as one team to bring to life narrative-rich games that keep players immersed. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment.

Job Summary 

We are seeking a highly skilled Lead Technical Artist to lead the design and development of scalable content pipelines and production tools for our projects. In this role, you will define workflows, create tools to streamline production, and act as the bridge between artists, engineers, and design teams.

Your leadership will ensure that art teams can produce high-quality, performant assets efficiently, while maintaining flexibility for rapid iteration. You’ll guide a team of technical artists, support cross-discipline collaboration, and set the standards for how content is created, managed, and deployed across multiple projects.

In addition to leading internal team members, you will also oversee and collaborate with external co-development partners, ensuring their work aligns with our creative vision, technical standards, and production goals. 

Please note we do require someone to be onsite at one of our Studios at least 3 days a week. 

Duties and Responsibilities  

• Architect and maintain scalable pipelines for all content disciplines — including environments, characters, animation, vehicles, materials, VFX, and cinematics.
• Design and implement custom tools, scripts, and workflows to increase efficiency, reduce errors, and standardize asset integration.
• Partner with engineering to extend UE5’s editor functionality and improve asset processing.
• Work with content creators to ensure pipelines are user-friendly, scalable, and optimized for production needs.
• Establish best practices for asset versioning, content validation, and automated build processes.
• Lead, mentor, and inspire your team, setting quality and productivity benchmarks. Conduct regular reviews, provide feedback, and support professional growth within the team.
• Coordinate with production to manage priorities, schedules, and resourcing for development.
• Collaborate & support outsourcing partners by defining pipeline requirements and ensuring seamless integration of external content.

Essential Skills, Attributes and Experience

• Extensive  experience in the games industry, with at least 2 shipped AAA titles.
• Proven track record as a Senior or Lead Technical Artist with pipeline and tools focus.
• Expert knowledge of Unreal Engine 5’s editor, content pipeline, Blueprints, and asset workflows.
• Proficiency in scripting/programming languages (Python, C++, C# or similar), with a focus on framework design & implementation.
• Strong understanding of version control (Perforce) and build/automation systems (Jenkins, Unreal Build Tools, CI/CD pipelines).
• Excellent problem-solving, communication, and leadership skills

Highly Desirable 

• Experience with automated content validation and performance profiling tools.
• Familiarity with large-scale open-world production pipelines in UE5 (World Partition, data layers, HLODs).
• Experience integrating procedural workflows (Houdini, Substance Designer) into pipelines.
• Knowledge of shader/material pipeline integration and optimization.
• Background in outsourcing/vendor management and pipeline support across distributed teams.

Hangar 13  prides itself on the diversity of its team members, partners, and communities.  For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination.  

As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment.  Please contact us if you need to request reasonable accommodation.

SECURITY NOTICE -  We have recently been made aware of increasing occurrences of bad actors posing as company HR personnel to gain information from "potential candidates", in the form of job interviews and offers. These scams can be quite sophisticated and appear legitimate.

Please know that Hangar 13 and 2K never use instant messaging apps to contact prospective employees or to conduct interviews.

If you believe you have been a victim of such a scam, you may fill out a complaint form at https://complaint.ic3.gov/ and https://reportfraud.ftc.gov/ detailing as much as possible. We are taking these matters very seriously and apologize for any inconvenience.

#LI-Hybrid

##LI-MW1

Who We Are

Hangar 13 is an internal 2K development studio that crafts unforgettable AAA gaming experiences across all major platforms . With studios in Brighton (UK), Brno, and Prague (CZ), we work as one team to bring to life narrative-rich games that keep players immersed. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment.

Job Summary 

We are seeking a highly skilled Lead Technical Artist to lead the design and development of scalable content pipelines and production tools for our projects. In this role, you will define workflows, create tools to streamline production, and act as the bridge between artists, engineers, and design teams.

Your leadership will ensure that art teams can produce high-quality, performant assets efficiently, while maintaining flexibility for rapid iteration. You’ll guide a team of technical artists, support cross-discipline collaboration, and set the standards for how content is created, managed, and deployed across multiple projects.

In addition to leading internal team members, you will also oversee and collaborate with external co-development partners, ensuring their work aligns with our creative vision, technical standards, and production goals. 

Please note we do require someone to be onsite at one of our Studios at least 3 days a week. 

Duties and Responsibilities  

• Architect and maintain scalable pipelines for all content disciplines — including environments, characters, animation, vehicles, materials, VFX, and cinematics.
• Design and implement custom tools, scripts, and workflows to increase efficiency, reduce errors, and standardize asset integration.
• Partner with engineering to extend UE5’s editor functionality and improve asset processing.
• Work with content creators to ensure pipelines are user-friendly, scalable, and optimized for production needs.
• Establish best practices for asset versioning, content validation, and automated build processes.
• Lead, mentor, and inspire your team, setting quality and productivity benchmarks. Conduct regular reviews, provide feedback, and support professional growth within the team.
• Coordinate with production to manage priorities, schedules, and resourcing for development.
• Collaborate & support outsourcing partners by defining pipeline requirements and ensuring seamless integration of external content.

Essential Skills, Attributes and Experience

• Extensive  experience in the games industry, with at least 2 shipped AAA titles.
• Proven track record as a Senior or Lead Technical Artist with pipeline and tools focus.
• Expert knowledge of Unreal Engine 5’s editor, content pipeline, Blueprints, and asset workflows.
• Proficiency in scripting/programming languages (Python, C++, C# or similar), with a focus on framework design & implementation.
• Strong understanding of version control (Perforce) and build/automation systems (Jenkins, Unreal Build Tools, CI/CD pipelines).
• Excellent problem-solving, communication, and leadership skills

Highly Desirable 

• Experience with automated content validation and performance profiling tools.
• Familiarity with large-scale open-world production pipelines in UE5 (World Partition, data layers, HLODs).
• Experience integrating procedural workflows (Houdini, Substance Designer) into pipelines.
• Knowledge of shader/material pipeline integration and optimization.
• Background in outsourcing/vendor management and pipeline support across distributed teams.

Hangar 13  prides itself on the diversity of its team members, partners, and communities.  For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination.  

As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment.  Please contact us if you need to request reasonable accommodation.

SECURITY NOTICE -  We have recently been made aware of increasing occurrences of bad actors posing as company HR personnel to gain information from "potential candidates", in the form of job interviews and offers. These scams can be quite sophisticated and appear legitimate.

Please know that Hangar 13 and 2K never use instant messaging apps to contact prospective employees or to conduct interviews.

If you believe you have been a victim of such a scam, you may fill out a complaint form at https://complaint.ic3.gov/ and https://reportfraud.ftc.gov/ detailing as much as possible. We are taking these matters very seriously and apologize for any inconvenience.

#LI-Hybrid

##LI-MW1

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 

So, what’s the role all about? 

The DevOps Engineer works as an integrated part of a software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables with guaranteed production-level quality and supportability.​ 
 

How will you make an impact?   

• Defining and developing continuous integration and deployment pipelines 

• Building Infrastructure as Code 

• Coordinating build and release activities with other stakeholders 

• Managing day to day operations of release pipelines, build tools, and source control software and resources 

• Troubleshooting & responding to downtime, performance degradation and outside attacks 

• Performing ongoing maintenance and upgrades of DevOps systems (Production & non-production) 

• Identifying, researching, and prototyping new technologies to improve DevOps processes 

Have you got what it takes?  

• Bachelor’s degree in Computer Science, Business Information Systems or related field or equivalent work experience is required.​ 

• 1-3 years of experience as a contributor on a software development team 

• Experience working with distributed source control systems, preferably with GitHub or BitBucket 

• Experience writing scripting languages, such as Python, Perl, Powershell 

• Deep knowledge and understanding in one or more of the following areas: 

-Database Administration (Structured and/or unstructured, Indexing, Performance Tuning, Backup and restore, data lifecycle management, scaling) 

-Layer 2 and Layer 3 Networking Administration (DNS, SSL/TLS, Load Balancing, IPv4 Sub netting, Firewalling, etc.) 

-Voice Over IP administration (Signaling, Encoding/Decoding; Protocols like Media Gateway, RTC, SIP; Security, Border Controllers; QoS, LCR) 

-Operating Systems (Linux/Windows, Virtualization, Containers, Imaging, Orchestration, Storage types & performance, Monitoring, Capacity Planning) 

You will have an advantage if you also have: 

• Experience with Artifactory 

• Experience with Release Pipeline tools such as Concourse, Thoughtworks Go, Octopus, Hive, ElectricFlow, or Xebialabs 

• Call center and telecom experience 

• Familiarity with CI automation tools, such as CircleCI, Jenkins, or Bamboo, TFS Build 

• Familiarity with Docker containers and Docker-based Microservices 

• Familiarity with infrastructure automation tools such as Chef, Puppet, Ansible, or CloudFormation 

• Familiarity with Amazon AWS services 

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

Enjoy NICE-FLEX!  

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

About NICE  

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. 

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. 

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

Requisition ID: 
Reporting into: Manager, DevOps  
Role Type: Individual Contributor 

So, what’s the role all about?

• Run the production environment by monitoring availability and taking a holistic view of system health
• Build software and systems to manage platform infrastructure and applications
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
• Provide primary operational support and engineering for multiple large distributed software applications

How will you make an impact?

• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
• Partner with development teams to improve services through rigorous testing and release procedures
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable systems and services through automation and uplifts
• Balance feature development speed and reliability with well-defined service level objectives

Have you got what it takes?

• 3-6 years of working experience in a similar role, with a focus on systems engineering, automation, and reliability.
• Proficiency in at least one programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell).
• Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc)
• Experience with infrastructure as code tools such as CloudFormation, Terraform.
• Deep understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
• Strong knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Cloudwatch).
• Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
• Experience of Incident management and blameless postmortems that includes driving the incident response efforts during outages and other critical incidents, resolution, and communication in a cross-functional team setup.

You will have an advantage if you also have:

• Handson experience of working with large Kubernetes Cluster. Certification will be an added plus.
• Working experience of Grafana Observability Suite (Loki, Mimir, Tempo).
• Administration and/or development experience of standard monitoring and automation tools such as Splunk, Datadog, Pagerduty Rundeck. 
• Familiarity with configuration management tools like Ansible, Puppet, or Chef.
• Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent.

Personal attributes:

• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Team player - ability to work well in a close team environment.
• Fast learner with ability to educate her/himself on relevant technologies
• Ability to multitask and prioritize work
• Ability to remain focused and calm under pressure

Enjoy NICE-FLEX! 

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 9476.

Reporting into: Director, Network Operations.

Role Type: Individual Contributor.

#LI-Remote

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 

So, what’s the role all about? 

The DevOps Engineer works as an integrated part of a software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables with guaranteed production-level quality and supportability.​ 
 

How will you make an impact?   

• Defining and developing continuous integration and deployment pipelines 

• Building Infrastructure as Code 

• Coordinating build and release activities with other stakeholders 

• Managing day to day operations of release pipelines, build tools, and source control software and resources 

• Troubleshooting & responding to downtime, performance degradation and outside attacks 

• Performing ongoing maintenance and upgrades of DevOps systems (Production & non-production) 

• Identifying, researching, and prototyping new technologies to improve DevOps processes 

Have you got what it takes?  

• Bachelor’s degree in Computer Science, Business Information Systems or related field or equivalent work experience is required.​ 

• 1-3 years of experience as a contributor on a software development team 

• Experience working with distributed source control systems, preferably with GitHub or BitBucket 

• Experience writing scripting languages, such as Python, Perl, Powershell 

• Deep knowledge and understanding in one or more of the following areas: 

-Database Administration (Structured and/or unstructured, Indexing, Performance Tuning, Backup and restore, data lifecycle management, scaling) 

-Layer 2 and Layer 3 Networking Administration (DNS, SSL/TLS, Load Balancing, IPv4 Sub netting, Firewalling, etc.) 

-Voice Over IP administration (Signaling, Encoding/Decoding; Protocols like Media Gateway, RTC, SIP; Security, Border Controllers; QoS, LCR) 

-Operating Systems (Linux/Windows, Virtualization, Containers, Imaging, Orchestration, Storage types & performance, Monitoring, Capacity Planning) 

You will have an advantage if you also have: 

• Experience with Artifactory 

• Experience with Release Pipeline tools such as Concourse, Thoughtworks Go, Octopus, Hive, ElectricFlow, or Xebialabs 

• Call center and telecom experience 

• Familiarity with CI automation tools, such as CircleCI, Jenkins, or Bamboo, TFS Build 

• Familiarity with Docker containers and Docker-based Microservices 

• Familiarity with infrastructure automation tools such as Chef, Puppet, Ansible, or CloudFormation 

• Familiarity with Amazon AWS services 

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About NICE  

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. 

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. 

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

Requisition ID: 
Reporting into: Manager, DevOps  
Role Type: Individual Contributor 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar is on the lookout for a talented Technical Artist who possess a passion for technology and innovation. 

This is a full-time, permanent and in-office position based out of Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Games Technical Art team creates, maintains and enhances tools and workflows for artists across our Art, Animation, and VFX teams.  
• We create and maintain photogrammetry tools and pipelines, and support live scan sessions.  
• We drive innovation and efficiency in our pipelines by continuously researching and developing new technology.  

RESPONSIBILITIES

• Design, develop, and support tools and pipelines in DCC and standalone contexts.  
• Develop automated solutions for data processing.   
• Stay informed on the latest technology and research related to the art of data pipelines and machine learning.  
• Write clear and detailed documentation for tools and workflows. 
• Diagnose and solve technical issues affecting artists.  

REQUIREMENTS

• 5+ years of experience as a Technical Artist, Technical Director, Tools Programmer, or similar.  
• Experience developing tools for DCCs like Houdini, Zbrush, Agisoft, or Metashape. 
• Experience working through a full game production cycle or long-term project. 
• A strong understanding of Photogrammetry workflows and software.  
• Proficiency in Python. 
• Experience with build systems like Jenkins, Airflow, or Celery.   
• An understanding of a 3D asset pipeline and color management.   
• Ability to think creatively and develop innovative solutions to complex problems. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• A degree in Computer Science or related discipline.  
• C++ programming skills.  
• Experience working with package management and deployment systems like Rez or PyPi.  
• Experience with ML based photogrammetry workflows like Gaussian Splats or Nerfs.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect.  In line with this commitment, Rockstar will provide accommodations to job applicants with disabilities (or on the basis of any other protected ground under human rights legislation) during the recruitment process, as well as to any Rockstar employees in order for them to perform the essential functions of their roles.  Rockstar will comply with its obligations under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act and will provide accommodations as long as such accommodations do not pose an undue hardship on Rockstar.  If you need more information about Rockstar’s accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-AS1

P-1534

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale.

Key responsibilities include:

• Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.
• Manage the development and rollout of storage services that host millions of customer databases across dozens of regions
• Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.
• Lead operational excellence in 24/7 operation of our system

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with building and shipping storage systems where correctness and performance are essential
• BS (or higher) in Computer Science, or a related field
• 2+ years of experience building and leading a team of engineers working in a related system
• Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of the team and guide their careers
• Comfort working on cross-functional projects with the ability to deeply understand product and customer personas

About TTC

TTC Global is a leading specialist software testing and quality engineering consultancy, helping organizations transform the way they deliver software. Founded in New Zealand, TTC operates globally across North America, EMEA, and APAC, partnering with Fortune 100 enterprises and major technology platforms to accelerate digital transformation, improve quality, and reduce risk.

We bring broad capabilities across functional, automation, performance, and AI Enhanced Quality Engineering to help our clients deliver quality at speed and scale.

Perks of working for TTC

• Competitive Base Salary
• FT/C2C
• Paid Time Off
• Paid Holidays
• Work Life Balance
• Relaxed Work Environment
• Growth and Development Opportunities

Position Summary

We are seeking a Tricentis Architect / Test Automation Lead to drive automation strategy and implementation across an SAP transformation programme. This role will focus on establishing scalable automation frameworks, improving regression efficiency, and enabling continuous testing capabilities.

Key Responsibilities

• Define and implement test automation strategy across SAP and integrated systems
• Lead design and deployment of automation frameworks using Tricentis Tosca
• Identify opportunities to improve automation coverage and regression efficiency
• Integrate automation into CI/CD pipelines and DevOps workflows
• Collaborate with functional and QA teams to align automation with business processes
• Provide technical leadership and mentorship to automation engineers
• Ensure automation supports end-to-end testing, including integration and UAT cycles
• Evaluate and implement best practices for test data and environment management

Requirements

• Strong experience with Tricentis Tosca (architecture and implementation)
• Proven experience leading test automation strategy in SAP environments
• Experience integrating automation into CI/CD pipelines
• Strong understanding of SAP testing, integration flows, and business processes
• Experience working in large-scale transformation programmes
• Strong technical leadership and stakeholder engagement skills

Technical Skills

• Tricentis Tosca (advanced / architect level)
• Test automation frameworks and design patterns
• CI/CD tools (Azure DevOps, Jenkins, GitLab, etc.)
• SAP testing and automation integration
• API testing tools (Postman, REST tools)
• Test data management and environment management tools
• Programming/scripting knowledge (Java, Python, or similar preferred)
• Version control systems (Git)

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 8–12 years of experience in test automation
• 3+ years in a test automation lead or architect role
• Proven experience implementing Tricentis Tosca in enterprise environments
• Experience working on SAP or ERP transformation programmes
• Tricentis certification (preferred)
• Strong understanding of DevOps and continuous testing practices

If your experience or qualifications is similar to our ideal of a successful candidate, please consider applying. Experience comes in many ways; skills may be transferred, but passion for your career can't be substituted. At TTC, we understand the importance of diversity and how much value it brings to the table. Diversity brings about creativity and new perspectives, which is why we beckon everyone to apply. 

Mattermost is seeking a Senior Technical Account Manager (TAM) is a customer-facing technical leader responsible for ensuring the successful deployment, integration, and operational success of the Mattermost platform for enterprise and public sector clients across the United Kingdom.

This role requires strong technical expertise in infrastructure, cybersecurity, and DevSecOps, combined with the ability to build trusted relationships with customers across multiple regions and languages. The TAM serves as a trusted technical advisor—partnering with engineering, product, and customer teams to ensure reliable, secure, and scalable deployments of Mattermost.

Key Responsibilities

Customer Success & Technical Delivery

• Lead onboarding, deployment, and optimization of Mattermost for strategic enterprise customers.
• Design and validate scalable architectures for cloud, hybrid, and on-premise deployments.
• Guide customers on integrating Mattermost with identity providers (SSO, SAML, OAuth, LDAP), CI/CD pipelines, and monitoring tools.
• Support adoption across distributed teams by ensuring high reliability, security, and performance.
• Provide proactive technical guidance to prevent issues and optimize system architecture.

Technical Leadership & Advocacy

• Serve as the primary technical advisor for assigned customer accounts.
• Work closely with Product, Engineering, and Support teams to resolve technical challenges.
• Capture customer insights and feedback to influence product roadmap and feature development.
• Develop documentation, deployment templates, and automation assets to support customer success at scale.

Communication & Stakeholder Management

• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Build trusted relationships with stakeholders across UK
• Conduct technical workshops, architecture reviews, and implementation planning sessions.
• Maintain documentation of deployment architectures, customer requirements, and feedback.

Required Qualifications

• 5+ years experience in Technical Account Management, Solutions Engineering, DevOps Engineering, or a similar technical customer-facing role.
• Strong expertise in Linux, networking, containers (Docker/Kubernetes), and cloud infrastructure.
• Experience with scripting or development (Python, Go, Bash, Node.js, or similar).
• Familiarity with DevOps and CI/CD tools (GitHub/GitLab, Jenkins, Terraform, Jira).
• Strong understanding of cybersecurity best practices and secure system design.
• Proven ability to manage enterprise technical relationships and complex implementations.
• Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. 
• Fluent English (written and spoken) required.
• Excellent communication and stakeholder management skills.
• Must be authorized to work in the United Kingdom.

Preferred Qualifications

• Experience supporting public sector, defense, or regulated industries.
• Familiarity with compliance frameworks such as ISO 27001, SOC 2, GDPR, NIS2, or UK NCSC security guidance.
• Experience supporting air-gapped or highly secure deployments.
• Existing or eligibility for security clearance such as UK Security Clearance (SC), French defense clearance, or NATO Secret clearance.
• Experience with mobile device management platforms (Intune, MobileIron, Workspace ONE).
• Experience working in a startup or high-growth SaaS environment.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Mattermost is seeking a Senior Technical Account Manager (TAM) is a customer-facing technical leader responsible for ensuring the successful deployment, integration, and operational success of the Mattermost platform for enterprise and public sector clients across the United Kingdom and Francophone Europe.

This role requires strong technical expertise in infrastructure, cybersecurity, and DevSecOps, combined with the ability to build trusted relationships with customers across multiple regions and languages. The TAM serves as a trusted technical advisor—partnering with engineering, product, and customer teams to ensure reliable, secure, and scalable deployments of Mattermost.

Key Responsibilities

Customer Success & Technical Delivery

• Lead onboarding, deployment, and optimization of Mattermost for strategic enterprise customers.
• Design and validate scalable architectures for cloud, hybrid, and on-premise deployments.
• Guide customers on integrating Mattermost with identity providers (SSO, SAML, OAuth, LDAP), CI/CD pipelines, and monitoring tools.
• Support adoption across distributed teams by ensuring high reliability, security, and performance.
• Provide proactive technical guidance to prevent issues and optimize system architecture.

Technical Leadership & Advocacy

• Serve as the primary technical advisor for assigned customer accounts.
• Work closely with Product, Engineering, and Support teams to resolve technical challenges.
• Capture customer insights and feedback to influence product roadmap and feature development.
• Develop documentation, deployment templates, and automation assets to support customer success at scale.

Communication & Stakeholder Management

• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Build trusted relationships with stakeholders across UK and French-speaking regions.
• Conduct technical workshops, architecture reviews, and implementation planning sessions.
• Maintain documentation of deployment architectures, customer requirements, and feedback.

Required Qualifications

• 5+ years experience in Technical Account Management, Solutions Engineering, DevOps Engineering, or a similar technical customer-facing role.
• Strong expertise in Linux, networking, containers (Docker/Kubernetes), and cloud infrastructure.
• Experience with scripting or development (Python, Go, Bash, Node.js, or similar).
• Familiarity with DevOps and CI/CD tools (GitHub/GitLab, Jenkins, Terraform, Jira).
• Strong understanding of cybersecurity best practices and secure system design.
• Proven ability to manage enterprise technical relationships and complex implementations.
• Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. 
• Fluent English and French (written and spoken) required.
• Excellent communication and stakeholder management skills.
• Must be authorized to work in the United Kingdom.

Preferred Qualifications

• Experience supporting public sector, defense, or regulated industries.
• Familiarity with compliance frameworks such as ISO 27001, SOC 2, GDPR, NIS2, or UK NCSC security guidance.
• Experience supporting air-gapped or highly secure deployments.
• Existing or eligibility for security clearance such as UK Security Clearance (SC), French defense clearance, or NATO Secret clearance.
• Experience with mobile device management platforms (Intune, MobileIron, Workspace ONE).
• Experience working in a startup or high-growth SaaS environment.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Your Impact

The Senior Software Engineer is a senior engineer responsible for subsystems of a project. They are expected to lead epics/initiatives, mentor more junior engineers, and contribute to architectural decisions. They have a substantial impact on their team and sometimes across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilizing cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers.

What You'll Do

• Technical Leadership and Mentorship: Provides technical leadership in project teams, mentor and guide more junior engineers, and contribute to technical decision-making 
• Performance Optimization: Focuses on designing systems for high performance, scalability, and reliability 
• Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations. 
• Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem 
• Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices
• Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions 
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, product managers, and stakeholders, contributing to project planning and execution 
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team 
• Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information

Who You Are

• 7-10+ years of relevant experience in software development, with a focus on SaaS or cloud-based applications 
• Experience in leading or playing key roles in significant software projects, showing an ability to work effectively both independently and as part of a team
• Close collaboration in planning and implementing features. They must align backend architecture with front-end design and user experience. 
• Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes. Experience in creating, deploying, and managing containers is essential 
• Experience with CI/CD pipelines and tools (like Jenkins, GitLab CI, or CircleCI) for automated testing and deployment of microservices 
• Proficient in designing and architecting microservices systems, including advanced concepts like distributed data management and event-driven architectures. Expertise in implementing complex microservices, advanced use of containerization and orchestration, and setting up CI/CD pipelines for microservices 
• Knowledge of system architecture, design patterns, and best practices in software development ● Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP 
• Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc 
• Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges 
• Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement 
• Effective communication and teamwork skills, essential for collaborating effectively in a dynamic and collaborative environment with various stakeholders and team members, especially from architectural perspectives 
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#, as well as a deep understanding of software engineering principles 
• Skilled in designing and developing RESTful APIs, understanding of HTTP/HTTPS protocols, and proficiency in API documentation 
• Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud) 
• Knowledge of various stages of the SDLC, including design, development, testing, and deployment

Even Better If You Have...

• Experience with developing, maintaining and monitoring large-scale, high-availability software systems. 
• Experience with designing and developing from a Security Perspective 
• Experience leveraging observability systems (logging, metrics, traces) to monitor and debug production subsystems and generate business level metrics. 
• Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage. 
• Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid. 
• Experience with Agile development methodologies and practices. 
• Experience using feature or release toggles as a code branching strategy 
• Experience with Contract-first designing and negotiating with other systems 
• Experience contributing to technical documentation

Some of Our Technology Stack

• Cloud Provider: AWS
• Languages / Frameworks: Kotlin / Netflix DGS, Python / Flask, C#
• Deployment: Terraform, Docker (via ECS), Consul for App Config, Service Discovery, Shared Secrets
• Transport: gRPC, GraphQL
• Persistence: PostgresQL, Redis
• Messaging: Kafka

Authorization to Work in the U.K.: Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. DISCO is not currently sponsoring visas.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Competitive salary plus RSUs
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

Your Impact

The Principal Software Engineer shapes and evolves our architecture using Distributed Domain Driven Design practices, ultimately ensuring the robustness and scalability of our systems. They influence architectural directions, and through project-embedded consultation. They guide teams to leverage best practices and design patterns.

What You'll Do

● Architecture Leadership: Drives the definition and evolution of our architecture using Distributed Domain Driven Design practices. Acts as the strategy leader for key Architecture Quality Attributes (e.g., Availability, Performance, Scalability, Securibility) to inform architecture assessments. Provides project-embedded architecture consultation to promote best Practices, design patterns, and informed buy vs. build decisions. 
● Platform Capability Enhancement: Contributes to the prioritization of platform capability improvements across feature and data platforms. Enhances the capture and communication of architecture descriptions through automation and innovative tools. Shepherds platform-wide strategies, including naming, protocol standards, and design patterns, to ensure ongoing value creation. 
● Effective Communication: Communicates complex technical concepts effectively in both written and spoken forms, catering to both technical and non-technical audiences. Collaborates with stakeholders to build consensus when necessary, ensuring alignment on architectural decisions.

Who You Are

● 15+ years of relevant experience
● Experience with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability 
● Experience with some amount of ‘Big Data’ technologies such as: ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores 
● Experience with leveraging common infrastructure services like Enterprise Message Bus platforms, configuration services, Toggle management systems, and observability systems like Logging and Distributing Tracing Systems 
● Experience with Domain Driven Design concepts and practices such as bounded contexts, event storming, specification by example, etc. 
● Experience with design, implementation, and operation of data-intensive, distributed systems
● Ability to design and communicate external and internal architectural perspectives of well-encapsulated systems (e.g. Service Oriented Architecture, Docker-based Services, micro-services) using patterns and tools such as Architecture/Design Patterns and Sequence Diagrams 
● Skilled using Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on automation tools like Terraform, Jenkins, CodePipeline. 
● Knowledge of API / Data Model Design and Implementation, including how to scale out, make highly available, or map to storage systems 
● Knowledge of multiple software stacks 
● Skilled with designing and operating software in a Cloud Provider such as AWS, Azure, or GCP 
● Knowledge about algorithm development for intensive pipeline processing systems
● Possesses an understanding of how to design and develop from a security perspective 
● Possesses an understanding of how to identify, select, and extend 3rd party components (Commercial or Open Source) that provide operational leverage but do not constrain product and engineering creativity

Even Better If You Have...

● Experience designing, modifying, and operating multi-tenant systems 
● Experience using feature or release toggles as a code branching strategy

Authorization to Work in the U.K.: Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. DISCO is not currently sponsoring visas.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Staff Platform Engineer with deep expertise leading clients and teams, and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their infrastructure. 

Key Responsibilities:

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Required Qualifications:

Platform Engineering & DevOps

• 7+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Core Observability & OpenTelemetry

• 3-7 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Experience leading teams, managing client relationships and expectations
• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• You will be expected to work for up to four days a week in person, be it from our office in London or from client sites.
• The London base salary range for this role is £95,000 - £130,000 GBP.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Senior Platform Consultant to help organizations implement, optimize, and scale their infrastructure. 

Key Responsibilities:

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Required Qualifications:

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Core Observability & OpenTelemetry

• Experience in observability, monitoring, and distributed systems
• Hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• You will be expected to work for up to four days a week in person, be it from our office in London or from client sites.
• The London base salary range for this role is £75,000 - £105,000 GBP.