Senior Observability Engineer/SRE Consultant £600-£625 per day Inside IR35 6-month initial term 2 days per week onsite in Cambridgeshire We're seeking a hands-on Observability Engineer/SRE Consultant to improve production monitoring, incident detection, and root-cause analysis across critical services. Key Skills Strong hands-on Splunk experience (essential) Experience with Dynatrace and/or Grafana Production monitoring, observability and incident management Distributed systems troubleshooting and performance analysis Log, metric and trace correlation Improving application instrumentation with engineering teams Responsibilities Review existing monitoring, telemetry and alerting capabilities Improve visibility across critical customer journeys and dependencies Implement meaningful service-health metrics and actionable alerts Reduce incident detection and resolution times Develop observability standards, runbooks and best practices Ideal for a contractor with proven experience delivering measurable improvements in observability, reliability and operational resilience. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
06/11/2026
Contractor
Senior Observability Engineer/SRE Consultant £600-£625 per day Inside IR35 6-month initial term 2 days per week onsite in Cambridgeshire We're seeking a hands-on Observability Engineer/SRE Consultant to improve production monitoring, incident detection, and root-cause analysis across critical services. Key Skills Strong hands-on Splunk experience (essential) Experience with Dynatrace and/or Grafana Production monitoring, observability and incident management Distributed systems troubleshooting and performance analysis Log, metric and trace correlation Improving application instrumentation with engineering teams Responsibilities Review existing monitoring, telemetry and alerting capabilities Improve visibility across critical customer journeys and dependencies Implement meaningful service-health metrics and actionable alerts Reduce incident detection and resolution times Develop observability standards, runbooks and best practices Ideal for a contractor with proven experience delivering measurable improvements in observability, reliability and operational resilience. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Senior Observability Engineer/SRE Consultant - Contract Up to £600 per day - Umbrella engagement 6-month initial contract with scope to extend Peterborough - 2x days a week Sanderon recruitment is currently working with a business who require a hands-on contractor to improve production visibility, detect service degradation earlier and accelerate incident triage and root-cause analysis. Strong Splunk experience is essential, Dynatrace and Grafana experience is desirable. Key responsibilities Review telemetry, dashboards, alerts and recent incidents to prioritise improvements. Map critical customer journeys and their application, infrastructure and third-party dependencies. Strengthen correlation across logs, metrics, traces and deployment events. Define service-health measures and actionable alerts, with clear ownership and response guidance. Deliver improvements to an agreed initial group of critical services before any wider rollout. Validate results through controlled incident exercises and comparisons with historical incidents. Document standards and runbooks, sharing knowledge with engineering and operations teams. Essential experience Proven production observability and incident-diagnosis experience. Strong hands-on Splunk expertise. Distributed-systems troubleshooting and application-performance analysis. Experience working with developers to improve instrumentation-not just configure monitoring tools. Evidence of measurable improvements in detection, investigation or operational reliability. Desirable experience Dynatrace and Grafana. Synthetic monitoring of critical customer journeys. Monitoring configuration managed as code. Telemetry cost, retention and sampling optimisation. Relevant industry and production technology-stack experience. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
06/11/2026
Contractor
Senior Observability Engineer/SRE Consultant - Contract Up to £600 per day - Umbrella engagement 6-month initial contract with scope to extend Peterborough - 2x days a week Sanderon recruitment is currently working with a business who require a hands-on contractor to improve production visibility, detect service degradation earlier and accelerate incident triage and root-cause analysis. Strong Splunk experience is essential, Dynatrace and Grafana experience is desirable. Key responsibilities Review telemetry, dashboards, alerts and recent incidents to prioritise improvements. Map critical customer journeys and their application, infrastructure and third-party dependencies. Strengthen correlation across logs, metrics, traces and deployment events. Define service-health measures and actionable alerts, with clear ownership and response guidance. Deliver improvements to an agreed initial group of critical services before any wider rollout. Validate results through controlled incident exercises and comparisons with historical incidents. Document standards and runbooks, sharing knowledge with engineering and operations teams. Essential experience Proven production observability and incident-diagnosis experience. Strong hands-on Splunk expertise. Distributed-systems troubleshooting and application-performance analysis. Experience working with developers to improve instrumentation-not just configure monitoring tools. Evidence of measurable improvements in detection, investigation or operational reliability. Desirable experience Dynatrace and Grafana. Synthetic monitoring of critical customer journeys. Monitoring configuration managed as code. Telemetry cost, retention and sampling optimisation. Relevant industry and production technology-stack experience. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Are you an experienced Monitoring, Observability or Site Reliability Engineer looking for an opportunity to make a genuine impact within a large, complex technology environment? We are recruiting an Observability Engineer to join a major organisation based in Liverpool. This is a hands-on role focused on improving visibility across infrastructure, networks, cloud platforms and applications, helping technology teams detect issues earlier, troubleshoot faster and deliver more reliable services. You'll work closely with teams to improve monitoring and observability, build meaningful dashboards and alerts, and turn operational data into actionable insight. The underlying requirement covers metrics, logs and traces across complex enterprise services. What you'll be doing Developing and improving monitoring and observability across infrastructure, cloud, network and application environments Defining, building and deploying the strategy for Observability Creating dashboards that provide meaningful insight into service health, performance and capacity Improving alerting to ensure alerts are actionable and reducing unnecessary noise and alert fatigue Working with metrics, logs and telemetry to identify performance issues and emerging risks Supporting incident investigation, troubleshooting and root cause analysis Identifying gaps in existing monitoring and helping engineering teams improve coverage Helping embed monitoring and observability into new and changed services Working with technical teams to improve service reliability and operational performance What we're looking for You could currently be working as an Observability Engineer, Monitoring Engineer, Site Reliability Engineer, Infrastructure Engineer or Platform Engineer with strong monitoring experience. Ideally, you'll bring experience in areas such as: Enterprise monitoring or observability platforms Infrastructure, network, cloud or application monitoring Metrics, logs and ideally distributed tracing Dashboards, alerting and event management Troubleshooting and root cause analysis Supporting production services in a complex IT environment Improving monitoring coverage and reducing alert noise Working collaboratively across Infrastructure, Cloud, Network, Application and Service Management teams You don't necessarily need to have previously owned an organisation-wide observability strategy. We're particularly interested in strong engineers who understand monitoring and telemetry and want the opportunity to help create a broader observability capability. In return, you will be rewarded with ongoing career development, an extensive benefits package and the opportunity to lead Observability across the business. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
01/11/2026
Full time
Are you an experienced Monitoring, Observability or Site Reliability Engineer looking for an opportunity to make a genuine impact within a large, complex technology environment? We are recruiting an Observability Engineer to join a major organisation based in Liverpool. This is a hands-on role focused on improving visibility across infrastructure, networks, cloud platforms and applications, helping technology teams detect issues earlier, troubleshoot faster and deliver more reliable services. You'll work closely with teams to improve monitoring and observability, build meaningful dashboards and alerts, and turn operational data into actionable insight. The underlying requirement covers metrics, logs and traces across complex enterprise services. What you'll be doing Developing and improving monitoring and observability across infrastructure, cloud, network and application environments Defining, building and deploying the strategy for Observability Creating dashboards that provide meaningful insight into service health, performance and capacity Improving alerting to ensure alerts are actionable and reducing unnecessary noise and alert fatigue Working with metrics, logs and telemetry to identify performance issues and emerging risks Supporting incident investigation, troubleshooting and root cause analysis Identifying gaps in existing monitoring and helping engineering teams improve coverage Helping embed monitoring and observability into new and changed services Working with technical teams to improve service reliability and operational performance What we're looking for You could currently be working as an Observability Engineer, Monitoring Engineer, Site Reliability Engineer, Infrastructure Engineer or Platform Engineer with strong monitoring experience. Ideally, you'll bring experience in areas such as: Enterprise monitoring or observability platforms Infrastructure, network, cloud or application monitoring Metrics, logs and ideally distributed tracing Dashboards, alerting and event management Troubleshooting and root cause analysis Supporting production services in a complex IT environment Improving monitoring coverage and reducing alert noise Working collaboratively across Infrastructure, Cloud, Network, Application and Service Management teams You don't necessarily need to have previously owned an organisation-wide observability strategy. We're particularly interested in strong engineers who understand monitoring and telemetry and want the opportunity to help create a broader observability capability. In return, you will be rewarded with ongoing career development, an extensive benefits package and the opportunity to lead Observability across the business. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Apto Solutions
Pembroke Road, Clifton, Bristol BS8 3BA, UK
Who this is for
An early-career engineering role inside Operate, our managed service. Security or observability background — either is welcome.
You have been working for eighteen months to three years in a hands-on technical role — a platform team, a SOC or security engineering team, an MSP or MSSP, an infrastructure or DevOps team, a vendor’s support or professional services desk — and you are looking for your first move. You have had your hands on something that runs in production and matters to somebody. You want to go deeper, faster, in a smaller business where the work you do is seen. This is not a graduate scheme and it is not a helpdesk. It is a real engineering seat with real customers, real supervision and a clear path up.
The Role
This is a hands-on engineering role inside Operate, our managed service. You will help run customer telemetry platforms day to day, improve them, and contribute to the platform that lets us run them well. You will do this as part of a small engineering pool, with a senior engineer checking your work before it reaches a customer and a line manager who is accountable for your development.
Operate has two shapes and you will work in both.
Operate Core is always-on. It is continuous ownership of a customer’s platform — health, ingestion, data quality, alerting, upgrades, capacity. There is no handover and no final deliverable. The platform is ours to keep healthy for as long as the customer is ours. Success is measured in the absence of surprises and in the platform being demonstrably better in six months than it is today.
Operate Attach is sprint-based improvement. A customer has a defined problem — noisy alerts, a data source that will not normalise, ingest costs running away, a detection gap, a migration — and we take a scoped block of work and fix it. Attach has a start, a shape and an end. It sits on top of Core, for the same customers, with the same engineers.
Alongside that you will take a share of professional services delivery: shorter, project-shaped engagements that are usually how a customer first meets us.
What You’ll do
Everything below is done with supervision at first and with increasing independence as you show you can carry it. We will be explicit with you about where that line is and how it moves.
Day-to-day health of customer platforms.
Ingestion pipelines, data quality, alerting, licensing and capacity, upgrades and patching. You will start by owning a slice of a named customer estate, and you will be expected to notice problems before the customer does.
Incident and problem work.
Triage, diagnosis and resolution — and then the harder part, which is the root cause and the permanent fix so it does not come back.
Content and configuration.
Detections, dashboards, parsers, normalisation, alert rules, pipeline routing — built properly, peer reviewed, version controlled, documented.
Attach sprints and PS work.
Taking a defined piece of a scoped improvement, delivering it, and being able to show what changed.
Automation.
If you do something manually three times, we expect you to want to automate the fourth. Most of our platform tooling started as an engineer being annoyed by something.
Documentation and runbooks.
Your own, to a standard, every time. Undocumented work is unfinished work.
What this role is NOT
Being clear about this matters as much as the role definition itself.
It is not a SOC analyst seat.
You are not sitting in a queue triaging alerts against someone else’s runbook. You help build and run the platform that the analysts depend on.
It is not a service desk or first-line support role.
You will talk to customers about technical matters, but the work is engineering, not ticket handling.
It is not a data science role.
We work with very large volumes of machine data, but the work is systems and operations engineering, not modelling or statistics. Python and dashboards are not the same thing as running a platform.
It is not a graduate scheme.
We paused our graduate hire to open this role instead, because we want someone who has already spent time in a production environment and knows what it feels like when something breaks at an awkward hour.
It is not a project role with a finish line.
Core has no end date. If what you enjoy is shipping a thing and walking away, you will find the continuous half of this job frustrating.
Who we are looking for
We are indifferent to whether your background is security or observability. Either one is a good starting point, and the interesting work at Apto sits where the two meet — the same telemetry usually has to serve both a security question and an operational one. What we need is depth in one and genuine curiosity about the other
Experience we’re looking for
Roughly eighteen months to three years in a hands-on technical role. We care much more about what you have actually done than about the number of months attached to it, and we know that at this stage most of what you have done was somebody else’s decision. That is fine. We are looking for the shape of it.
You have had your hands on a telemetry, SIEM, observability or monitoring platform that was running in production — not only in a course or a home lab. You have onboarded a data source, tuned an alert, applied an upgrade, or been the person who had to work out why the data stopped arriving.
You have carried something over time rather than only delivering a task and moving on — a set of alerts you looked after, a customer estate you knew well, an on-call rotation, a service that was yours to keep healthy.
You are comfortable in Linux, in at least one query language, and you have written scripts that did something useful. Python is what we mostly use; anything credible is a fine starting point.
You have automated or fixed something real and you can show it. A script, a repo, a before-and-after number, a description concrete enough for us to ask sensible questions about.
You can write. A clear runbook, a readable incident note, a straight message to a customer. This is a customer-facing role.
You have worked in at least one of our vendor families — Splunk, Cribl, Sentinel, Grafana, Datadog, Elastic, Prometheus, OpenTelemetry — or a close analogue. The specific product is negotiable. Real exposure is not.
If you meet most of this and not all of it, apply anyway and tell us which parts you do not have. We would rather read an honest gap than a padded CV.
The platform work – why this is interesting
Most managed service jobs are the same job with a different logo on the ticketing system. This one is not, because we are building our own platform underneath the service and you will work on it. We have replaced a vendor-licensed telemetry backend with an open-source stack we run ourselves. A base platform (secret ;-)) On top of that sits multi-vendor collection — the pattern that lets us onboard a Splunk, a Cribl or a Sentinel customer without rebuilding it from scratch each time. Beyond that, the vendors are all shipping AI and agentic layers — MCP servers, agentic investigation, cross-vendor gateways — and we already have that work live with a customer. You will get early, hands-on exposure to it while most of the industry is still writing slide decks about it.
07/09/2026
Full time
Who this is for
An early-career engineering role inside Operate, our managed service. Security or observability background — either is welcome.
You have been working for eighteen months to three years in a hands-on technical role — a platform team, a SOC or security engineering team, an MSP or MSSP, an infrastructure or DevOps team, a vendor’s support or professional services desk — and you are looking for your first move. You have had your hands on something that runs in production and matters to somebody. You want to go deeper, faster, in a smaller business where the work you do is seen. This is not a graduate scheme and it is not a helpdesk. It is a real engineering seat with real customers, real supervision and a clear path up.
The Role
This is a hands-on engineering role inside Operate, our managed service. You will help run customer telemetry platforms day to day, improve them, and contribute to the platform that lets us run them well. You will do this as part of a small engineering pool, with a senior engineer checking your work before it reaches a customer and a line manager who is accountable for your development.
Operate has two shapes and you will work in both.
Operate Core is always-on. It is continuous ownership of a customer’s platform — health, ingestion, data quality, alerting, upgrades, capacity. There is no handover and no final deliverable. The platform is ours to keep healthy for as long as the customer is ours. Success is measured in the absence of surprises and in the platform being demonstrably better in six months than it is today.
Operate Attach is sprint-based improvement. A customer has a defined problem — noisy alerts, a data source that will not normalise, ingest costs running away, a detection gap, a migration — and we take a scoped block of work and fix it. Attach has a start, a shape and an end. It sits on top of Core, for the same customers, with the same engineers.
Alongside that you will take a share of professional services delivery: shorter, project-shaped engagements that are usually how a customer first meets us.
What You’ll do
Everything below is done with supervision at first and with increasing independence as you show you can carry it. We will be explicit with you about where that line is and how it moves.
Day-to-day health of customer platforms.
Ingestion pipelines, data quality, alerting, licensing and capacity, upgrades and patching. You will start by owning a slice of a named customer estate, and you will be expected to notice problems before the customer does.
Incident and problem work.
Triage, diagnosis and resolution — and then the harder part, which is the root cause and the permanent fix so it does not come back.
Content and configuration.
Detections, dashboards, parsers, normalisation, alert rules, pipeline routing — built properly, peer reviewed, version controlled, documented.
Attach sprints and PS work.
Taking a defined piece of a scoped improvement, delivering it, and being able to show what changed.
Automation.
If you do something manually three times, we expect you to want to automate the fourth. Most of our platform tooling started as an engineer being annoyed by something.
Documentation and runbooks.
Your own, to a standard, every time. Undocumented work is unfinished work.
What this role is NOT
Being clear about this matters as much as the role definition itself.
It is not a SOC analyst seat.
You are not sitting in a queue triaging alerts against someone else’s runbook. You help build and run the platform that the analysts depend on.
It is not a service desk or first-line support role.
You will talk to customers about technical matters, but the work is engineering, not ticket handling.
It is not a data science role.
We work with very large volumes of machine data, but the work is systems and operations engineering, not modelling or statistics. Python and dashboards are not the same thing as running a platform.
It is not a graduate scheme.
We paused our graduate hire to open this role instead, because we want someone who has already spent time in a production environment and knows what it feels like when something breaks at an awkward hour.
It is not a project role with a finish line.
Core has no end date. If what you enjoy is shipping a thing and walking away, you will find the continuous half of this job frustrating.
Who we are looking for
We are indifferent to whether your background is security or observability. Either one is a good starting point, and the interesting work at Apto sits where the two meet — the same telemetry usually has to serve both a security question and an operational one. What we need is depth in one and genuine curiosity about the other
Experience we’re looking for
Roughly eighteen months to three years in a hands-on technical role. We care much more about what you have actually done than about the number of months attached to it, and we know that at this stage most of what you have done was somebody else’s decision. That is fine. We are looking for the shape of it.
You have had your hands on a telemetry, SIEM, observability or monitoring platform that was running in production — not only in a course or a home lab. You have onboarded a data source, tuned an alert, applied an upgrade, or been the person who had to work out why the data stopped arriving.
You have carried something over time rather than only delivering a task and moving on — a set of alerts you looked after, a customer estate you knew well, an on-call rotation, a service that was yours to keep healthy.
You are comfortable in Linux, in at least one query language, and you have written scripts that did something useful. Python is what we mostly use; anything credible is a fine starting point.
You have automated or fixed something real and you can show it. A script, a repo, a before-and-after number, a description concrete enough for us to ask sensible questions about.
You can write. A clear runbook, a readable incident note, a straight message to a customer. This is a customer-facing role.
You have worked in at least one of our vendor families — Splunk, Cribl, Sentinel, Grafana, Datadog, Elastic, Prometheus, OpenTelemetry — or a close analogue. The specific product is negotiable. Real exposure is not.
If you meet most of this and not all of it, apply anyway and tell us which parts you do not have. We would rather read an honest gap than a padded CV.
The platform work – why this is interesting
Most managed service jobs are the same job with a different logo on the ticketing system. This one is not, because we are building our own platform underneath the service and you will work on it. We have replaced a vendor-licensed telemetry backend with an open-source stack we run ourselves. A base platform (secret ;-)) On top of that sits multi-vendor collection — the pattern that lets us onboard a Splunk, a Cribl or a Sentinel customer without rebuilding it from scratch each time. Beyond that, the vendors are all shipping AI and agentic layers — MCP servers, agentic investigation, cross-vendor gateways — and we already have that work live with a customer. You will get early, hands-on exposure to it while most of the industry is still writing slide decks about it.
Data Platform Engineer - Contract £500-£550 per day | Outside IR35 | Fully Remote | Working US Hours Devonshire Hayes is seeking a Data Platform Engineer to help build and improve data observability, data quality and platform capabilities, enabling data engineering teams to deliver reliable, efficient pipelines. Key responsibilities: Build out a data observability platform to provide tracking, control, operational monitoring and visibility across end-to-end data pipelines and data usage. Develop reusable data quality components and frameworks to identify, investigate and resolve data quality issues. Monitor and optimise Snowflake performance and costs. Create reusable components and frameworks to support data engineering teams. Support and manage data platforms, including Snowflake, Talend, Matillion, ThoughtSpot, Power BI and Ataccama. Essential experience: Strong data expertise, with hands-on experience building data pipelines. Strong SQL skills and practical Python experience. Experience supporting and managing data software platforms. Experience with data observability, data quality and performance management. Strong problem-solving and troubleshooting skills. Desirable experience: Familiarity with Snowflake, Talend, Matillion, ThoughtSpot, Power BI and/or Ataccama. Linux and Terraform. Software development experience. This is a fully remote contract requiring availability to work US hours.
07/11/2026
Contractor
Data Platform Engineer - Contract £500-£550 per day | Outside IR35 | Fully Remote | Working US Hours Devonshire Hayes is seeking a Data Platform Engineer to help build and improve data observability, data quality and platform capabilities, enabling data engineering teams to deliver reliable, efficient pipelines. Key responsibilities: Build out a data observability platform to provide tracking, control, operational monitoring and visibility across end-to-end data pipelines and data usage. Develop reusable data quality components and frameworks to identify, investigate and resolve data quality issues. Monitor and optimise Snowflake performance and costs. Create reusable components and frameworks to support data engineering teams. Support and manage data platforms, including Snowflake, Talend, Matillion, ThoughtSpot, Power BI and Ataccama. Essential experience: Strong data expertise, with hands-on experience building data pipelines. Strong SQL skills and practical Python experience. Experience supporting and managing data software platforms. Experience with data observability, data quality and performance management. Strong problem-solving and troubleshooting skills. Desirable experience: Familiarity with Snowflake, Talend, Matillion, ThoughtSpot, Power BI and/or Ataccama. Linux and Terraform. Software development experience. This is a fully remote contract requiring availability to work US hours.
We are looking for a highly technical Staff Software Engineer to join our System Orchestration team in System Software at Oxford Ionics. In this role, you will be responsible for building and operating the software that keeps our systems calibrated, decides what they do next and keeps the record of what they did, contributing to the team's mission of keeping our quantum computers running useful work around the clock. The trapped-ion quantum computers we are building will control 10,000 ions within two years, and all of that has to be kept in tune - settings that drift over minutes, hours and days. Without it a computer does not stop; it quietly starts producing invalid output. Calibration routines, scientists' experiments and customer workloads all compete for physical hardware, and our team builds the control plane that arbitrates that: it schedules and prioritises programs, hands exclusive access to one at a time and takes it back cooperatively, streams results while a program is still running, and keeps the record of everything that ran. It runs on every quantum computer in our fleet. Its job is to keep that machine busy and productive: running quantum programs rather than waiting in between, and running them in spec - on a machine still hitting the fidelity it is meant to hit. The ambition is for that to run without a person in the loop: machines that assess their own readiness, call for the calibrations they need, and keep a full history of how they were tuned. You'd work closely with the runtime team who own real-time control, the systems teams who build and maintain our quantum computers, and the operators and scientists who run them. This is a hands-on engineering role: you would be writing this software alongside our other staff engineers, not directing others who write it. You'll play an important part in shaping the services that support our work in building the world's most advanced quantum systems. Previous exposure to quantum systems is not required. Responsibilities: In this position, you will work across the services that make up the control plane, supporting the effective delivery of a system every machine in the fleet depends on. You'll have the opportunity to remove whole classes of failure and raise the bar for the engineers around you, contributing directly to the success of the System Software function. Key responsibilities include: Take on the problems that span the whole control plane - the durability and recovery contracts the rest of the design rests on. Make a machine's own assessment of its readiness something the rest of the control plane can rely on.Do the deep diagnosis of failures that only appear on a live system, under real load. Remove whole classes of failure across the fleet, rather than instances of them. Draw the boundaries between our services, settle them in writing, and move the code across them yourself. Make the correctness of a design demonstrable rather than argued. Build the tooling and test infrastructure that let the whole team move faster. Evolve how our services are deployed and operated as the fleet grows. Raise the bar of everyone around you through the code you write and the reviews you give. Requirements: To be successful, you will need deep systems engineering experience, a track record of operating services where losing data is not an option, and the judgement to tell a problem worth solving structurally from one worth patching. We're looking for someone who wants to stay hands-on in the code at this level and can contribute effectively within a fast moving, highly technical team. You'd be a great fit with: Expert systems engineering skills. Our System Orchestration layer is written in Rust, so either solid Rust experience or deep proficiency in another systems language and the appetite to work in a Rust codebase, including async programming. Deep experience building and operating stateful networked services in production, exposed over gRPC or REST, with a real grasp of error handling, observability and failure modes. A track record with data durability and correctness - persistence design, crash recovery, and migrations against live data you cannot afford to lose. We use PostgreSQL. The instinct to reach for determinism when chasing a timing or interleaving bug, rather than for more logging. Depth in the scheduling and workflow landscape - Temporal, Hatchet, Airflow, Slurm, Postgres-backed queues - and the judgement to borrow from it rather than reinvent. A track record of pinning down failures that others could not. A habit of settling design questions in writing, with the options compared as peers. Excellent communication skills both within software and across disciplines. Additional useful experience would include replacing a load-bearing system while it stays in service, containerised services in production, Kubernetes and declarative deployment, distributed tracing, formal specification or model checking, closed-loop systems that act on measured state, and scientific computing or research facilities. Benefits Be part of a team that s shaping the future of quantum. We offer more than just a role, you ll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We re proud to be an equal opportunity employer and welcome applicants from all backgrounds.
07/11/2026
Full time
We are looking for a highly technical Staff Software Engineer to join our System Orchestration team in System Software at Oxford Ionics. In this role, you will be responsible for building and operating the software that keeps our systems calibrated, decides what they do next and keeps the record of what they did, contributing to the team's mission of keeping our quantum computers running useful work around the clock. The trapped-ion quantum computers we are building will control 10,000 ions within two years, and all of that has to be kept in tune - settings that drift over minutes, hours and days. Without it a computer does not stop; it quietly starts producing invalid output. Calibration routines, scientists' experiments and customer workloads all compete for physical hardware, and our team builds the control plane that arbitrates that: it schedules and prioritises programs, hands exclusive access to one at a time and takes it back cooperatively, streams results while a program is still running, and keeps the record of everything that ran. It runs on every quantum computer in our fleet. Its job is to keep that machine busy and productive: running quantum programs rather than waiting in between, and running them in spec - on a machine still hitting the fidelity it is meant to hit. The ambition is for that to run without a person in the loop: machines that assess their own readiness, call for the calibrations they need, and keep a full history of how they were tuned. You'd work closely with the runtime team who own real-time control, the systems teams who build and maintain our quantum computers, and the operators and scientists who run them. This is a hands-on engineering role: you would be writing this software alongside our other staff engineers, not directing others who write it. You'll play an important part in shaping the services that support our work in building the world's most advanced quantum systems. Previous exposure to quantum systems is not required. Responsibilities: In this position, you will work across the services that make up the control plane, supporting the effective delivery of a system every machine in the fleet depends on. You'll have the opportunity to remove whole classes of failure and raise the bar for the engineers around you, contributing directly to the success of the System Software function. Key responsibilities include: Take on the problems that span the whole control plane - the durability and recovery contracts the rest of the design rests on. Make a machine's own assessment of its readiness something the rest of the control plane can rely on.Do the deep diagnosis of failures that only appear on a live system, under real load. Remove whole classes of failure across the fleet, rather than instances of them. Draw the boundaries between our services, settle them in writing, and move the code across them yourself. Make the correctness of a design demonstrable rather than argued. Build the tooling and test infrastructure that let the whole team move faster. Evolve how our services are deployed and operated as the fleet grows. Raise the bar of everyone around you through the code you write and the reviews you give. Requirements: To be successful, you will need deep systems engineering experience, a track record of operating services where losing data is not an option, and the judgement to tell a problem worth solving structurally from one worth patching. We're looking for someone who wants to stay hands-on in the code at this level and can contribute effectively within a fast moving, highly technical team. You'd be a great fit with: Expert systems engineering skills. Our System Orchestration layer is written in Rust, so either solid Rust experience or deep proficiency in another systems language and the appetite to work in a Rust codebase, including async programming. Deep experience building and operating stateful networked services in production, exposed over gRPC or REST, with a real grasp of error handling, observability and failure modes. A track record with data durability and correctness - persistence design, crash recovery, and migrations against live data you cannot afford to lose. We use PostgreSQL. The instinct to reach for determinism when chasing a timing or interleaving bug, rather than for more logging. Depth in the scheduling and workflow landscape - Temporal, Hatchet, Airflow, Slurm, Postgres-backed queues - and the judgement to borrow from it rather than reinvent. A track record of pinning down failures that others could not. A habit of settling design questions in writing, with the options compared as peers. Excellent communication skills both within software and across disciplines. Additional useful experience would include replacing a load-bearing system while it stays in service, containerised services in production, Kubernetes and declarative deployment, distributed tracing, formal specification or model checking, closed-loop systems that act on measured state, and scientific computing or research facilities. Benefits Be part of a team that s shaping the future of quantum. We offer more than just a role, you ll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We re proud to be an equal opportunity employer and welcome applicants from all backgrounds.
We are looking for a Lead Full Stack Developer to join our team in London and help deliver scalable, secure and cloud-based applications. This role combines full-stack software engineering, AI enablement and modern cloud development. The successful candidate will have strong experience in Front End and Back End development, hands-on expertise with Azure and Databricks and the ability to design reliable solutions that support complex business needs. Responsibilities Design, develop and maintain scalable full-stack applications using modern technologies Build responsive user interfaces with React, TypeScript and related Front End technologies Develop secure REST APIs and Back End services using .NET/C# or Python Create reusable components, shared services and maintainable application architectures Develop and integrate solutions using Azure and Databricks services Implement AI-powered functionality using large language models, AI services and modern engineering frameworks Design and support integrations with enterprise applications, databases and external APIs Contribute to CI/CD pipelines, automated testing and software delivery processes Ensure application security, reliability and performance through monitoring and best practices Collaborate with cross-functional stakeholders to deliver technical solutions and continuous improvements Requirements Strong experience developing production applications using React Proficiency in TypeScript, JavaScript, HTML5 and CSS3 Professional experience with .NET/C# or Python development Experience designing and developing secure REST APIs and Back End services Hands-on experience with Microsoft Azure and Databricks Understanding of generative AI, large language models and AI-enabled application development Strong knowledge of SQL, relational databases and enterprise system integration Experience with Git-based development workflows and GitHub Actions CI/CD pipelines Understanding of authentication, authorization, application security and cloud operations Strong analytical, problem-solving and stakeholder communication skills Nice to have Knowledge of retrieval-augmented generation (RAG), agent-based workflows or AI orchestration patterns Experience with asynchronous processing, messaging or event-driven architectures Familiarity with Docker and containerized application deployments Experience working with OAuth 2.0, OpenID Connect and single sign-on solutions Exposure to monitoring, observability and production support practices We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
07/11/2026
Full time
We are looking for a Lead Full Stack Developer to join our team in London and help deliver scalable, secure and cloud-based applications. This role combines full-stack software engineering, AI enablement and modern cloud development. The successful candidate will have strong experience in Front End and Back End development, hands-on expertise with Azure and Databricks and the ability to design reliable solutions that support complex business needs. Responsibilities Design, develop and maintain scalable full-stack applications using modern technologies Build responsive user interfaces with React, TypeScript and related Front End technologies Develop secure REST APIs and Back End services using .NET/C# or Python Create reusable components, shared services and maintainable application architectures Develop and integrate solutions using Azure and Databricks services Implement AI-powered functionality using large language models, AI services and modern engineering frameworks Design and support integrations with enterprise applications, databases and external APIs Contribute to CI/CD pipelines, automated testing and software delivery processes Ensure application security, reliability and performance through monitoring and best practices Collaborate with cross-functional stakeholders to deliver technical solutions and continuous improvements Requirements Strong experience developing production applications using React Proficiency in TypeScript, JavaScript, HTML5 and CSS3 Professional experience with .NET/C# or Python development Experience designing and developing secure REST APIs and Back End services Hands-on experience with Microsoft Azure and Databricks Understanding of generative AI, large language models and AI-enabled application development Strong knowledge of SQL, relational databases and enterprise system integration Experience with Git-based development workflows and GitHub Actions CI/CD pipelines Understanding of authentication, authorization, application security and cloud operations Strong analytical, problem-solving and stakeholder communication skills Nice to have Knowledge of retrieval-augmented generation (RAG), agent-based workflows or AI orchestration patterns Experience with asynchronous processing, messaging or event-driven architectures Familiarity with Docker and containerized application deployments Experience working with OAuth 2.0, OpenID Connect and single sign-on solutions Exposure to monitoring, observability and production support practices We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
We're looking for a Lead DevOps Engineer to join our team in London, UK in a hybrid working mode. In this role, you will support mission-critical derivatives trading systems and Real Time market data platforms, ensuring high availability, resilience and compliance with industry regulations. You will work closely with global partners, trading desks and engineering teams to implement best-in-class deployment practices, optimize performance and enhance overall reliability across complex trading environments. Responsibilities Ensure proactive management of workflows and system reliability for global trading environments Design and implement best practices for application deployment, monitoring and observability Support and troubleshoot production issues in Real Time, providing rapid incident resolution Establish and maintain CI/CD pipelines for Front Office environments to improve release efficiency Collaborate with traders, developers and infrastructure teams to ensure system scalability and performance Lead integration and performance testing strategies for low-latency trading platforms Optimize processes for compliance and audit readiness, including regulatory standards (RTS6) Provide subject matter expertise for FIX connectivity, market data distribution and vendor integrations Drive continuous improvement and technical initiatives to reduce operational risks and technical debt Participate in on-call rotation for global trading infrastructure support Requirements Minimum 6+ years of experience in supporting trading systems in Front Office environments Proven expertise in FIX protocol engineering and vendor/exchange certification Strong hands-on skills in Python, PowerShell and Scripting for automation tasks Familiarity with C# and relational database concepts, including SQL Experience troubleshooting and implementing market data distribution systems (RTDS - ADS/DACS/ADH) Solid knowledge of CI/CD pipelines and deployment automation processes for mission-critical systems Operational experience with OMS/EMS platforms (such as TT, Bloomberg, NYFIX) Strong incident management capabilities in high-pressure environments Excellent analytical and problem-solving skills with a proactive approach Nice to have Experience in commodity trading and supply operations, ideally within the energy sector Hands-on experience with time-series analytics frameworks (kdb+, Shakti) Knowledge of multicast messaging protocols and Real Time data traffic management Familiarity with cloud-native DevOps solutions and container orchestration Awareness of algo-trading compliance standards (RTS6) and audit processes Experience with infrastructure monitoring tools and observability frameworks We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
07/11/2026
Full time
We're looking for a Lead DevOps Engineer to join our team in London, UK in a hybrid working mode. In this role, you will support mission-critical derivatives trading systems and Real Time market data platforms, ensuring high availability, resilience and compliance with industry regulations. You will work closely with global partners, trading desks and engineering teams to implement best-in-class deployment practices, optimize performance and enhance overall reliability across complex trading environments. Responsibilities Ensure proactive management of workflows and system reliability for global trading environments Design and implement best practices for application deployment, monitoring and observability Support and troubleshoot production issues in Real Time, providing rapid incident resolution Establish and maintain CI/CD pipelines for Front Office environments to improve release efficiency Collaborate with traders, developers and infrastructure teams to ensure system scalability and performance Lead integration and performance testing strategies for low-latency trading platforms Optimize processes for compliance and audit readiness, including regulatory standards (RTS6) Provide subject matter expertise for FIX connectivity, market data distribution and vendor integrations Drive continuous improvement and technical initiatives to reduce operational risks and technical debt Participate in on-call rotation for global trading infrastructure support Requirements Minimum 6+ years of experience in supporting trading systems in Front Office environments Proven expertise in FIX protocol engineering and vendor/exchange certification Strong hands-on skills in Python, PowerShell and Scripting for automation tasks Familiarity with C# and relational database concepts, including SQL Experience troubleshooting and implementing market data distribution systems (RTDS - ADS/DACS/ADH) Solid knowledge of CI/CD pipelines and deployment automation processes for mission-critical systems Operational experience with OMS/EMS platforms (such as TT, Bloomberg, NYFIX) Strong incident management capabilities in high-pressure environments Excellent analytical and problem-solving skills with a proactive approach Nice to have Experience in commodity trading and supply operations, ideally within the energy sector Hands-on experience with time-series analytics frameworks (kdb+, Shakti) Knowledge of multicast messaging protocols and Real Time data traffic management Familiarity with cloud-native DevOps solutions and container orchestration Awareness of algo-trading compliance standards (RTS6) and audit processes Experience with infrastructure monitoring tools and observability frameworks We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
We're looking for a Lead Databricks Engineer to join our team in London, UK in a hybrid working mode. This role involves designing and leading enterprise-scale Azure and Databricks data platforms to enable advanced analytics and Real Time processing capabilities. You will be responsible for platform architecture, governance, cost optimization and ensuring delivery of high-quality solutions that meet critical business needs in a complex, data-driven environment. Responsibilities Lead architecture design and implementation of scalable solutions on Azure Databricks Define and enforce platform standards, ensuring compliance with data governance and security policies Build and optimize Databricks streaming workloads, including Structured Streaming and Delta Live Tables Collaborate with cross-functional teams to translate requirements into robust technical solutions Drive platform performance tuning, cost optimization and monitoring strategies for cloud workloads Provide leadership across the full engineering life cycle, including solution delivery and production support Mentor and guide developers, establishing best practices for data engineering on Azure and Databricks Participate in technical decision-making and review designs for scalability and maintainability Implement observability for critical pipelines and maintain quality assurance standards Engage directly with stakeholders to ensure alignment on strategic platform initiatives Requirements Minimum 8+ years of experience in data engineering, including 3+ years in a tech lead capacity Strong hands-on expertise in Databricks for enterprise-scale workloads Proficiency in PySpark, Spark Structured Streaming, and Delta Lake Solid programming skills in Python and demonstrated SQL performance optimization experience Deep understanding of Azure Data Platform services and cloud-native engineering patterns Proven experience implementing data governance, quality management and observability frameworks Ability to manage complex data pipelines for batch and streaming use cases in mission-critical environments Strong communication and leadership skills to work with distributed teams and senior stakeholders Nice to have Knowledge of Delta Live Tables (DLT) and advanced workflows in Databricks Familiarity with CI/CD for data engineering using GitHub or Azure DevOps Experience designing infrastructure-as-code solutions for Azure environments Understanding of data mesh or lakehouse principles for large-scale architectures Background in financial trading or capital markets data domains We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
07/11/2026
Full time
We're looking for a Lead Databricks Engineer to join our team in London, UK in a hybrid working mode. This role involves designing and leading enterprise-scale Azure and Databricks data platforms to enable advanced analytics and Real Time processing capabilities. You will be responsible for platform architecture, governance, cost optimization and ensuring delivery of high-quality solutions that meet critical business needs in a complex, data-driven environment. Responsibilities Lead architecture design and implementation of scalable solutions on Azure Databricks Define and enforce platform standards, ensuring compliance with data governance and security policies Build and optimize Databricks streaming workloads, including Structured Streaming and Delta Live Tables Collaborate with cross-functional teams to translate requirements into robust technical solutions Drive platform performance tuning, cost optimization and monitoring strategies for cloud workloads Provide leadership across the full engineering life cycle, including solution delivery and production support Mentor and guide developers, establishing best practices for data engineering on Azure and Databricks Participate in technical decision-making and review designs for scalability and maintainability Implement observability for critical pipelines and maintain quality assurance standards Engage directly with stakeholders to ensure alignment on strategic platform initiatives Requirements Minimum 8+ years of experience in data engineering, including 3+ years in a tech lead capacity Strong hands-on expertise in Databricks for enterprise-scale workloads Proficiency in PySpark, Spark Structured Streaming, and Delta Lake Solid programming skills in Python and demonstrated SQL performance optimization experience Deep understanding of Azure Data Platform services and cloud-native engineering patterns Proven experience implementing data governance, quality management and observability frameworks Ability to manage complex data pipelines for batch and streaming use cases in mission-critical environments Strong communication and leadership skills to work with distributed teams and senior stakeholders Nice to have Knowledge of Delta Live Tables (DLT) and advanced workflows in Databricks Familiarity with CI/CD for data engineering using GitHub or Azure DevOps Experience designing infrastructure-as-code solutions for Azure environments Understanding of data mesh or lakehouse principles for large-scale architectures Background in financial trading or capital markets data domains We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
We're looking for a Senior C++ Engineer to join our team in London, United Kingdom in a hybrid working mode. You will be part of a high-performing team developing a global derivatives algorithmic trading platform. This role offers the opportunity to collaborate with technologists, quants, and traders, optimizing proprietary trading technology for market-leading performance and reliability. You will contribute to the full stack, from venue connectivity to trading engines, in an open and collaborative environment. Responsibilities Develop software that communicates with exchanges via APIs, handling market data and order transmission using protocols such as FIX, Websocket, or HTTP Ensure software quality by utilizing, maintaining, and extending testing suites Optimize exchange communication through Kernel bypass and connection handling Research exchange behavior to align platform operations Implement solutions using exchange SDKs in C++, Rust, Python, and TypeScript Implement trading algorithms based on requirements from traders and quants Translate trading requirements into robust software implementations Improve stability, reliability, and performance of the trading engine Enhance monitoring and observability in partnership with Trading Operations Investigate and resolve production issues, including crashes and performance bottlenecks Prepare for releases and deployments of new trading engine versions Requirements Minimum 5 years post-graduation professional C++ software development experience in the financial industry Solid understanding of parallel, asynchronous, and multithreaded programming for distributed systems Good knowledge of algorithms and data structures Strong analytical and problem-solving skills Understanding of trading life cycle, including order capture, execution, allocation workflow, settlement, and compliance Technical skills in Scripting languages such as Python, PowerShell, C#, SQL Proven track record in application deployment best practices Experience in proactive system monitoring and troubleshooting Nice to have Excellent communication skills for interaction with traders, developers, and stakeholders Ability to thrive in high-pressure trading room environments Experience working under demanding deadlines with changing priorities Experience in commodity trading and supply operations, ideally within the energy sector We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
07/11/2026
Full time
We're looking for a Senior C++ Engineer to join our team in London, United Kingdom in a hybrid working mode. You will be part of a high-performing team developing a global derivatives algorithmic trading platform. This role offers the opportunity to collaborate with technologists, quants, and traders, optimizing proprietary trading technology for market-leading performance and reliability. You will contribute to the full stack, from venue connectivity to trading engines, in an open and collaborative environment. Responsibilities Develop software that communicates with exchanges via APIs, handling market data and order transmission using protocols such as FIX, Websocket, or HTTP Ensure software quality by utilizing, maintaining, and extending testing suites Optimize exchange communication through Kernel bypass and connection handling Research exchange behavior to align platform operations Implement solutions using exchange SDKs in C++, Rust, Python, and TypeScript Implement trading algorithms based on requirements from traders and quants Translate trading requirements into robust software implementations Improve stability, reliability, and performance of the trading engine Enhance monitoring and observability in partnership with Trading Operations Investigate and resolve production issues, including crashes and performance bottlenecks Prepare for releases and deployments of new trading engine versions Requirements Minimum 5 years post-graduation professional C++ software development experience in the financial industry Solid understanding of parallel, asynchronous, and multithreaded programming for distributed systems Good knowledge of algorithms and data structures Strong analytical and problem-solving skills Understanding of trading life cycle, including order capture, execution, allocation workflow, settlement, and compliance Technical skills in Scripting languages such as Python, PowerShell, C#, SQL Proven track record in application deployment best practices Experience in proactive system monitoring and troubleshooting Nice to have Excellent communication skills for interaction with traders, developers, and stakeholders Ability to thrive in high-pressure trading room environments Experience working under demanding deadlines with changing priorities Experience in commodity trading and supply operations, ideally within the energy sector We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
We are looking for a Lead Full Stack Developer to join our team in London and help deliver scalable, secure and cloud-based applications. This role combines full-stack software engineering, AI enablement and modern cloud development. The successful candidate will have strong experience in Front End and Back End development, hands-on expertise with Azure and Databricks and the ability to design reliable solutions that support complex business needs. Responsibilities Design, develop and maintain scalable full-stack applications using modern technologies Build responsive user interfaces with React, TypeScript and related Front End technologies Develop secure REST APIs and Back End services using .NET/C# or Python Create reusable components, shared services and maintainable application architectures Develop and integrate solutions using Azure and Databricks services Implement AI-powered functionality using large language models, AI services and modern engineering frameworks Design and support integrations with enterprise applications, databases and external APIs Contribute to CI/CD pipelines, automated testing and software delivery processes Ensure application security, reliability and performance through monitoring and best practices Collaborate with cross-functional stakeholders to deliver technical solutions and continuous improvements Requirements Strong experience developing production applications using React Proficiency in TypeScript, JavaScript, HTML5 and CSS3 Professional experience with .NET/C# or Python development Experience designing and developing secure REST APIs and Back End services Hands-on experience with Microsoft Azure and Databricks Understanding of generative AI, large language models and AI-enabled application development Strong knowledge of SQL, relational databases and enterprise system integration Experience with Git-based development workflows and GitHub Actions CI/CD pipelines Understanding of authentication, authorization, application security and cloud operations Strong analytical, problem-solving and stakeholder communication skills Nice to have Knowledge of retrieval-augmented generation (RAG), agent-based workflows or AI orchestration patterns Experience with asynchronous processing, messaging or event-driven architectures Familiarity with Docker and containerized application deployments Experience working with OAuth 2.0, OpenID Connect and single sign-on solutions Exposure to monitoring, observability and production support practices We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
07/11/2026
Full time
We are looking for a Lead Full Stack Developer to join our team in London and help deliver scalable, secure and cloud-based applications. This role combines full-stack software engineering, AI enablement and modern cloud development. The successful candidate will have strong experience in Front End and Back End development, hands-on expertise with Azure and Databricks and the ability to design reliable solutions that support complex business needs. Responsibilities Design, develop and maintain scalable full-stack applications using modern technologies Build responsive user interfaces with React, TypeScript and related Front End technologies Develop secure REST APIs and Back End services using .NET/C# or Python Create reusable components, shared services and maintainable application architectures Develop and integrate solutions using Azure and Databricks services Implement AI-powered functionality using large language models, AI services and modern engineering frameworks Design and support integrations with enterprise applications, databases and external APIs Contribute to CI/CD pipelines, automated testing and software delivery processes Ensure application security, reliability and performance through monitoring and best practices Collaborate with cross-functional stakeholders to deliver technical solutions and continuous improvements Requirements Strong experience developing production applications using React Proficiency in TypeScript, JavaScript, HTML5 and CSS3 Professional experience with .NET/C# or Python development Experience designing and developing secure REST APIs and Back End services Hands-on experience with Microsoft Azure and Databricks Understanding of generative AI, large language models and AI-enabled application development Strong knowledge of SQL, relational databases and enterprise system integration Experience with Git-based development workflows and GitHub Actions CI/CD pipelines Understanding of authentication, authorization, application security and cloud operations Strong analytical, problem-solving and stakeholder communication skills Nice to have Knowledge of retrieval-augmented generation (RAG), agent-based workflows or AI orchestration patterns Experience with asynchronous processing, messaging or event-driven architectures Familiarity with Docker and containerized application deployments Experience working with OAuth 2.0, OpenID Connect and single sign-on solutions Exposure to monitoring, observability and production support practices We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements
AI Solution Architect (Contract) Our client, a leading British airline, is building an AI Factory to scale AI safely across its brands. They need an AI Solution Architect to design the solutions that run on it. Location: Heathrow on-site/hybrid The role You'll design secure, scalable AI and agentic solutions that fit enterprise architecture and reuse the AI Factory's shared capabilities. You'll connect business requirements and product intent to detailed engineering design, with a credible path from prototype to production. What you'll do Design end-to-end architectures for agent and workflow automation Choose models, orchestration patterns, data sources, and integration approaches Define the boundaries between deterministic software, probabilistic AI, and human decision-making Build in identity, data protection, resilience, observability, and cost from day one Design evaluation, fallback, escalation, and human-in-the-loop mechanisms Produce architecture decisions, patterns, and reusable reference designs Review implementations and guide engineering teams through major technical decisions What you'll bring Hands-on solution architecture experience with strong cloud, integration, and distributed-systems skills Practical knowledge of LLMs, agents, retrieval, and evaluation The judgement to keep solutions appropriately simple, with explicit trade-offs Ideal candidates from strategy consulting backgrounds If you've worked for MBB consulting, or a comparable firm and moved into hands-on technology architecture, for example through QuantumBlack, BCG X, or Bain's digital and AI practices, this role is for you. You'll bring structured problem-solving, comfort with senior stakeholders, and the ability to turn an ambiguous business problem into a clear recommendation. You'll also need real architecture depth, because this is a design-and-review role, not a slideware one. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
07/11/2026
Contractor
AI Solution Architect (Contract) Our client, a leading British airline, is building an AI Factory to scale AI safely across its brands. They need an AI Solution Architect to design the solutions that run on it. Location: Heathrow on-site/hybrid The role You'll design secure, scalable AI and agentic solutions that fit enterprise architecture and reuse the AI Factory's shared capabilities. You'll connect business requirements and product intent to detailed engineering design, with a credible path from prototype to production. What you'll do Design end-to-end architectures for agent and workflow automation Choose models, orchestration patterns, data sources, and integration approaches Define the boundaries between deterministic software, probabilistic AI, and human decision-making Build in identity, data protection, resilience, observability, and cost from day one Design evaluation, fallback, escalation, and human-in-the-loop mechanisms Produce architecture decisions, patterns, and reusable reference designs Review implementations and guide engineering teams through major technical decisions What you'll bring Hands-on solution architecture experience with strong cloud, integration, and distributed-systems skills Practical knowledge of LLMs, agents, retrieval, and evaluation The judgement to keep solutions appropriately simple, with explicit trade-offs Ideal candidates from strategy consulting backgrounds If you've worked for MBB consulting, or a comparable firm and moved into hands-on technology architecture, for example through QuantumBlack, BCG X, or Bain's digital and AI practices, this role is for you. You'll bring structured problem-solving, comfort with senior stakeholders, and the ability to turn an ambiguous business problem into a clear recommendation. You'll also need real architecture depth, because this is a design-and-review role, not a slideware one. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Principle DevOps Clearance required: BPSS + SC This role requires additional vetting, which means this could take longer than our normal onboarding process. You will require additional vetting for this position, which means the process can take longer than the usual onboarding process with Capgemini. Please do not hesitate to get in touch if you have any queries.' Interview process: Tech IV Location: Remote Sector: Public End User: Client IR35 Status: PAYE via Umbrella company only Job Description: Role Summary Design, build and optimise the enterprise AI Platform that enables the development, deployment and operation of AI products, solutions and services. The role provides the technical foundations, tooling, automation and governance required to accelerate AI adoption while ensuring security, resilience, scalability and cost-effective delivery across the organisation. Key Responsibilities Design, build and maintain enterprise AI Platform capabilities across cloud environments. Develop and manage AI landing zones, development environments and experimentation platforms. Implement Infrastructure-as-Code, platform automation and self-service engineering capabilities. Build and maintain CI/CD and MLOps pipelines supporting AI solution delivery. Enable secure integration of AI services, APIs, agents, models and orchestration frameworks. Implement platform observability, monitoring, logging and operational support capabilities. Establish security controls, governance policies and operational guardrails for AI services. Support deployment, scaling and operational management of AI products and AI-powered services. Evaluate emerging AI tooling, foundation model platforms and supporting technologies. Optimise platform performance, resilience, security and cloud consumption costs. Develop reusable platform services, accelerators, templates and reference architectures. Provide technical leadership and guidance to engineering, data and AI delivery teams. Ensure alignment with enterprise architecture, security, platform and AI governance standards. Contribute to the development of the organisation's AI capability through a hub-and-spoke operating model. Required Technical Competencies Strong platform engineering, cloud infrastructure and software engineering expertise. Experience building and operating AI platforms in Microsoft Azure and AWS. Experience with Azure AI Foundry, AWS Bedrock and associated AI ecosystem services. MLOps, DevOps and CI/CD practices supporting AI solution delivery. Infrastructure-as-Code technologies such as Terraform, Bicep or CloudFormation. Containerisation and orchestration technologies including Docker and Kubernetes. API management, integration architectures and event-driven platforms. Platform observability, monitoring, logging and operational support tooling. Identity, security, governance and compliance controls within cloud environments. Experience supporting AI agents, orchestration frameworks, retrieval architectures and model integration patterns. Cost optimisation, FinOps and cloud consumption management. Automation and Scripting technologies supporting platform operations. Aptitudes/Personal Attributes Strong technical curiosity and passion for emerging AI technologies. Strategic mindset with the ability to translate business needs into scalable platform capabilities. Pragmatic approach to balancing innovation, risk, security and cost. Passion for automation, standardisation and engineering excellence. Adaptable and responsive to rapidly evolving AI technologies and market developments. Collaborative and supportive team player capable of working across multidisciplinary teams. Strong ownership, accountability and delivery focus. Excellent communication skills with the ability to explain complex technical concepts clearly. Comfortable operating in ambiguity and shaping emerging capabilities. Committed to continuous improvement and knowledge sharing.
06/11/2026
Contractor
Principle DevOps Clearance required: BPSS + SC This role requires additional vetting, which means this could take longer than our normal onboarding process. You will require additional vetting for this position, which means the process can take longer than the usual onboarding process with Capgemini. Please do not hesitate to get in touch if you have any queries.' Interview process: Tech IV Location: Remote Sector: Public End User: Client IR35 Status: PAYE via Umbrella company only Job Description: Role Summary Design, build and optimise the enterprise AI Platform that enables the development, deployment and operation of AI products, solutions and services. The role provides the technical foundations, tooling, automation and governance required to accelerate AI adoption while ensuring security, resilience, scalability and cost-effective delivery across the organisation. Key Responsibilities Design, build and maintain enterprise AI Platform capabilities across cloud environments. Develop and manage AI landing zones, development environments and experimentation platforms. Implement Infrastructure-as-Code, platform automation and self-service engineering capabilities. Build and maintain CI/CD and MLOps pipelines supporting AI solution delivery. Enable secure integration of AI services, APIs, agents, models and orchestration frameworks. Implement platform observability, monitoring, logging and operational support capabilities. Establish security controls, governance policies and operational guardrails for AI services. Support deployment, scaling and operational management of AI products and AI-powered services. Evaluate emerging AI tooling, foundation model platforms and supporting technologies. Optimise platform performance, resilience, security and cloud consumption costs. Develop reusable platform services, accelerators, templates and reference architectures. Provide technical leadership and guidance to engineering, data and AI delivery teams. Ensure alignment with enterprise architecture, security, platform and AI governance standards. Contribute to the development of the organisation's AI capability through a hub-and-spoke operating model. Required Technical Competencies Strong platform engineering, cloud infrastructure and software engineering expertise. Experience building and operating AI platforms in Microsoft Azure and AWS. Experience with Azure AI Foundry, AWS Bedrock and associated AI ecosystem services. MLOps, DevOps and CI/CD practices supporting AI solution delivery. Infrastructure-as-Code technologies such as Terraform, Bicep or CloudFormation. Containerisation and orchestration technologies including Docker and Kubernetes. API management, integration architectures and event-driven platforms. Platform observability, monitoring, logging and operational support tooling. Identity, security, governance and compliance controls within cloud environments. Experience supporting AI agents, orchestration frameworks, retrieval architectures and model integration patterns. Cost optimisation, FinOps and cloud consumption management. Automation and Scripting technologies supporting platform operations. Aptitudes/Personal Attributes Strong technical curiosity and passion for emerging AI technologies. Strategic mindset with the ability to translate business needs into scalable platform capabilities. Pragmatic approach to balancing innovation, risk, security and cost. Passion for automation, standardisation and engineering excellence. Adaptable and responsive to rapidly evolving AI technologies and market developments. Collaborative and supportive team player capable of working across multidisciplinary teams. Strong ownership, accountability and delivery focus. Excellent communication skills with the ability to explain complex technical concepts clearly. Comfortable operating in ambiguity and shaping emerging capabilities. Committed to continuous improvement and knowledge sharing.
Spencer Rose is urgently seeking a number of Site Reliability Engineer's (SREs) to work on an exciting transformation programme for our Tier-1 banking client located in Manchester. GCP IS ESSENTIAL. Start: ASAP Duration: 6-12 month contract (strong possibility for extensions) Rate: Negotiable Day Rate - Inside IR35 Location: Manchester - hybrid 2 days a week in the office ROLE PURPOSE Improve the reliability, scalability, security and operational excellence of cloud-hosted services on Google Cloud Platform. This is a hands-on engineering role spanning SRE practices, production Kubernetes, infrastructure automation, observability, CI/CD, incident response and continuous service improvement. About the role The Senior Site Reliability Engineer will work with Cloud Platform, Software Engineering, Product, Security and Service teams to design and operate resilient services. The role will use software engineering and automation to reduce operational toil, improve service health and turn incident learning into measurable reliability improvements. Key responsibilities Lead reliability, availability, scalability and performance improvements across GCP-hosted applications, platforms and shared services. Define and operate service level indicators, service level objectives and error-budget practices that connect technical health to customer impact. Design actionable observability using Dynatrace, including instrumentation, dashboards, distributed tracing, service health views and SLO-based alerting. Build modular, reusable and maintainable Terraform code for secure cloud infrastructure, platform services and environment provisioning. Administer production Kubernetes environments, covering cluster life cycle, workload deployment, capacity, upgrades, networking and platform troubleshooting. Automate operational activities and repetitive support work using Python, Groovy, Bash or PowerShell to reduce toil and improve consistency. Build and enhance CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions or equivalent tooling, with automated quality and deployment controls. Lead incident response, complex troubleshooting, root-cause analysis and post-incident reviews; ensure corrective actions are tracked to completion. Embed security, resilience, monitoring and supportability into platform and application designs from the outset. Coach engineers, contribute reusable standards and patterns, and promote SRE and operational excellence across engineering communities. Interviews for these roles will take place w/c 5th October, if you are available and have the above experience APPLY NOW
06/11/2026
Contractor
Spencer Rose is urgently seeking a number of Site Reliability Engineer's (SREs) to work on an exciting transformation programme for our Tier-1 banking client located in Manchester. GCP IS ESSENTIAL. Start: ASAP Duration: 6-12 month contract (strong possibility for extensions) Rate: Negotiable Day Rate - Inside IR35 Location: Manchester - hybrid 2 days a week in the office ROLE PURPOSE Improve the reliability, scalability, security and operational excellence of cloud-hosted services on Google Cloud Platform. This is a hands-on engineering role spanning SRE practices, production Kubernetes, infrastructure automation, observability, CI/CD, incident response and continuous service improvement. About the role The Senior Site Reliability Engineer will work with Cloud Platform, Software Engineering, Product, Security and Service teams to design and operate resilient services. The role will use software engineering and automation to reduce operational toil, improve service health and turn incident learning into measurable reliability improvements. Key responsibilities Lead reliability, availability, scalability and performance improvements across GCP-hosted applications, platforms and shared services. Define and operate service level indicators, service level objectives and error-budget practices that connect technical health to customer impact. Design actionable observability using Dynatrace, including instrumentation, dashboards, distributed tracing, service health views and SLO-based alerting. Build modular, reusable and maintainable Terraform code for secure cloud infrastructure, platform services and environment provisioning. Administer production Kubernetes environments, covering cluster life cycle, workload deployment, capacity, upgrades, networking and platform troubleshooting. Automate operational activities and repetitive support work using Python, Groovy, Bash or PowerShell to reduce toil and improve consistency. Build and enhance CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions or equivalent tooling, with automated quality and deployment controls. Lead incident response, complex troubleshooting, root-cause analysis and post-incident reviews; ensure corrective actions are tracked to completion. Embed security, resilience, monitoring and supportability into platform and application designs from the outset. Coach engineers, contribute reusable standards and patterns, and promote SRE and operational excellence across engineering communities. Interviews for these roles will take place w/c 5th October, if you are available and have the above experience APPLY NOW
Full Stack Engineer Central London (3 days onsite) Our client is an AI work-execution platform built for alternative investment firms and their portfolio companies. It securely brings together proprietary data, external sources and workflows, so investment teams can analyse faster, cover more ground and make better decisions. They are backed by a large, established parent group with deep domain expertise. The team in London is small, senior and high-ownership, with direct access to senior leadership. They are hiring a Full Stack Engineer (5+ years) to design, build and ship the product end to end, from the database to the UI. Security, tenant isolation and auditability are core engineering constraints, because clients trust the platform with confidential financial data. What you'll do Build data-heavy, accessible interfaces in TypeScript and React, respecting a detailed role-based access model Design services and REST APIs in Python (FastAPI/Django) with clear OpenAPI contracts Model data in PostgreSQL: schema design, migrations, indexing and multi-tenant isolation Build event-driven and background processing, plus real-time features over WebSockets Implement SSO, OTP and session/JWT auth, and integrate with Microsoft 365, CRMs and document stores Work with the AI/ML team to ship LLM-powered features, including UX that investment professionals can trust and audit (citations, provenance, approve flows) Ship and operate on AWS with solid CI/CD, observability and SOC 2 / UK GDPR awareness What you bring 5+ years of software engineering with real full-stack ownership in production Strong TypeScript, React, Python and PostgreSQL Auth and access control experience in a multi-tenant B2B product AWS (or similar), CI/CD and containers A track record of setting technical direction and leading architecture decisions Daily use of AI coding tools (Cursor, Claude Code or similar) and a considered view on where they help Nice to have Next.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform, and financial-services or regulated-environment experience. What's on offer Close work with a leadership team with 20+ years of experience in the alternative investment space Competitive compensation The chance to build something impactful for leading financial services firms A collaborative, supportive culture and a central London office Education: Bachelor's degree in engineering, computer science or a related field, or equivalent experience. The client's name is shared with shortlisted candidates under NDA. Interested? Message me to start a confidential conversation. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
06/11/2026
Full time
Full Stack Engineer Central London (3 days onsite) Our client is an AI work-execution platform built for alternative investment firms and their portfolio companies. It securely brings together proprietary data, external sources and workflows, so investment teams can analyse faster, cover more ground and make better decisions. They are backed by a large, established parent group with deep domain expertise. The team in London is small, senior and high-ownership, with direct access to senior leadership. They are hiring a Full Stack Engineer (5+ years) to design, build and ship the product end to end, from the database to the UI. Security, tenant isolation and auditability are core engineering constraints, because clients trust the platform with confidential financial data. What you'll do Build data-heavy, accessible interfaces in TypeScript and React, respecting a detailed role-based access model Design services and REST APIs in Python (FastAPI/Django) with clear OpenAPI contracts Model data in PostgreSQL: schema design, migrations, indexing and multi-tenant isolation Build event-driven and background processing, plus real-time features over WebSockets Implement SSO, OTP and session/JWT auth, and integrate with Microsoft 365, CRMs and document stores Work with the AI/ML team to ship LLM-powered features, including UX that investment professionals can trust and audit (citations, provenance, approve flows) Ship and operate on AWS with solid CI/CD, observability and SOC 2 / UK GDPR awareness What you bring 5+ years of software engineering with real full-stack ownership in production Strong TypeScript, React, Python and PostgreSQL Auth and access control experience in a multi-tenant B2B product AWS (or similar), CI/CD and containers A track record of setting technical direction and leading architecture decisions Daily use of AI coding tools (Cursor, Claude Code or similar) and a considered view on where they help Nice to have Next.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform, and financial-services or regulated-environment experience. What's on offer Close work with a leadership team with 20+ years of experience in the alternative investment space Competitive compensation The chance to build something impactful for leading financial services firms A collaborative, supportive culture and a central London office Education: Bachelor's degree in engineering, computer science or a related field, or equivalent experience. The client's name is shared with shortlisted candidates under NDA. Interested? Message me to start a confidential conversation. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Role Purpose Provide company-wide architectural governance and technical leadership for the enterprise program migrating on-premise estate (RHEL, Oracle, Microsoft) to FCP. Define and enforce target reference architectures, migration patterns, security & compliance guardrails, and run governance through an Architecture Review Board (ARB) to ensure secure, cost-effective, resilient, and compliant outcomes. Key Responsibilities Establish, document, and own cloud target/reference architectures for FCP covering compute, networking, identity, storage, databases, Middleware, integration, backup/DR, and observability. Lead architectural governance: Chair/run the Architecture Review Board (ARB). Review, approve, or raise conditions for migration and design packages. Maintain Architecture Decision Records (ADRs) and a patterns/standards library. Create migration strategy and application classification (lift-and-shift, replatform, refactor, replace, retire). Define and validate data migration and cutover strategies for Oracle (and other DBs), including rollback and integrity verification plans. Define security, compliance, and operational guardrails (IAM, encryption, network segmentation, logging, vulnerability management). Produce runbooks, playbooks, and cutover templates; validate them during pilot migrations. Define non-functional requirements (performance, HA, RTO/RPO) and validate designs against them. Drive cost governance: tagging policy, cost models, budget forecasts, and ongoing optimization. Coordinate with App owners, DBAs, Security, Compliance, DevOps, Infra, and PMO to ensure alignment and readiness. Mentor platform and application teams; enable knowledge transfer and create training materials. Run proofs-of-concept (PoCs) and provide hands-on support for complex migrations or performance tuning. Conduct post-migration reviews, capture lessons learned, and iterate architecture/designs. Required Qualifications & Skills Education: Bachelor's degree in Computer Science, IT, Engineering, or equivalent experience. Experience: 8+ years IT experience with at least 4+ years in architecting and leading enterprise on-prem - cloud migrations. Technical expertise: Strong Linux (RHEL) systems knowledge and experience with configuration management/automation. Deep Oracle database migration experience (replication, logical/physical migration tools, schema conversion, performance tuning). Microsoft stack experience (Windows Server, AD, .NET, SQL Server) and migration approaches. Solid cloud architecture knowledge (IaaS, PaaS, managed DBs, networking, identity). Containerization and orchestration (Docker, Kubernetes) experience preferred. Security and compliance controls implementation experience for cloud migrations. Observability, monitoring, and incident management best practices. Soft skills: Strong stakeholder management and communication skills across technical and non-technical audiences. Experience running Architecture Review Boards and writing ADRs. Proven ability to produce clear architecture artifacts, runbooks, and migration playbooks. Preferred/Nice-to-have TOGAF or enterprise architecture certification. Experience with large-scale Oracle consolidation/migration projects. Experience with cost governance tools and cloud financial management (FinOps). Experience with regulated environments (PCI, GDPR, SOX, HIPAA) if applicable.
06/11/2026
Full time
Role Purpose Provide company-wide architectural governance and technical leadership for the enterprise program migrating on-premise estate (RHEL, Oracle, Microsoft) to FCP. Define and enforce target reference architectures, migration patterns, security & compliance guardrails, and run governance through an Architecture Review Board (ARB) to ensure secure, cost-effective, resilient, and compliant outcomes. Key Responsibilities Establish, document, and own cloud target/reference architectures for FCP covering compute, networking, identity, storage, databases, Middleware, integration, backup/DR, and observability. Lead architectural governance: Chair/run the Architecture Review Board (ARB). Review, approve, or raise conditions for migration and design packages. Maintain Architecture Decision Records (ADRs) and a patterns/standards library. Create migration strategy and application classification (lift-and-shift, replatform, refactor, replace, retire). Define and validate data migration and cutover strategies for Oracle (and other DBs), including rollback and integrity verification plans. Define security, compliance, and operational guardrails (IAM, encryption, network segmentation, logging, vulnerability management). Produce runbooks, playbooks, and cutover templates; validate them during pilot migrations. Define non-functional requirements (performance, HA, RTO/RPO) and validate designs against them. Drive cost governance: tagging policy, cost models, budget forecasts, and ongoing optimization. Coordinate with App owners, DBAs, Security, Compliance, DevOps, Infra, and PMO to ensure alignment and readiness. Mentor platform and application teams; enable knowledge transfer and create training materials. Run proofs-of-concept (PoCs) and provide hands-on support for complex migrations or performance tuning. Conduct post-migration reviews, capture lessons learned, and iterate architecture/designs. Required Qualifications & Skills Education: Bachelor's degree in Computer Science, IT, Engineering, or equivalent experience. Experience: 8+ years IT experience with at least 4+ years in architecting and leading enterprise on-prem - cloud migrations. Technical expertise: Strong Linux (RHEL) systems knowledge and experience with configuration management/automation. Deep Oracle database migration experience (replication, logical/physical migration tools, schema conversion, performance tuning). Microsoft stack experience (Windows Server, AD, .NET, SQL Server) and migration approaches. Solid cloud architecture knowledge (IaaS, PaaS, managed DBs, networking, identity). Containerization and orchestration (Docker, Kubernetes) experience preferred. Security and compliance controls implementation experience for cloud migrations. Observability, monitoring, and incident management best practices. Soft skills: Strong stakeholder management and communication skills across technical and non-technical audiences. Experience running Architecture Review Boards and writing ADRs. Proven ability to produce clear architecture artifacts, runbooks, and migration playbooks. Preferred/Nice-to-have TOGAF or enterprise architecture certification. Experience with large-scale Oracle consolidation/migration projects. Experience with cost governance tools and cloud financial management (FinOps). Experience with regulated environments (PCI, GDPR, SOX, HIPAA) if applicable.
Senior Agentic AI Engineer (Netherlands) A fast-growing, engineering-led AI consultancy with industry recognised entrepreneurial leadership is hiring Senior Agentic AI Engineers to design, build and run production AI systems for its enterprise client base in retail, pharmaceutical, financial services and FMCG/Consumer Products. Permanent | Home-based in the Netherlands | Amsterdam office for team days The opportunity Our client has more enterprise AI work than it can currently staff and is building out its permanent engineering team in the Netherlands. You will be the hands-on engineer in a small, senior client delivery team, working alongside a consultant and a delivery lead. Together you take a loosely defined business problem through to a working, production-grade AI system that is safe, observable and maintainable. Evaluation, guardrails and monitoring are built in from day one. You will also help shape engineering standards and the reusable patterns the wider team builds on. This is a senior individual contributor role for someone who still loves building, not a step into management. What you'll do Agentic and AI systems engineering Design and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Build multi-agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval pipelines: embeddings, vector stores, RAG and semantic search Apply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignment Integrate AI systems with enterprise platforms through APIs, tools and connectors Set the technical direction on your engagements and shape the architecture of client solutions Discovery and solution design Turn ambiguous business needs into clear, practical engineering approaches Assess feasibility across data, systems and architecture Help shape use cases with consultants and explain clearly how a solution will work Work with client domain experts to understand edge cases and operational requirements Produce lightweight technical documentation, diagrams and decision records Quality, reliability and AI operations Implement evaluation frameworks and safety checks across model and agent behaviour Build monitoring, logging, tracing and incident-handling patterns Apply governance, risk and compliance principles to AI deployments, with awareness of EU requirements such as GDPR and the EU AI Act Support release cycles, environments and operational readiness Own reliability, reproducibility and performance benchmarks Building team capability Turn what you build into reusable agent patterns, templates and starter kits Share new research, frameworks and techniques with colleagues Coach peers and influence coding standards and architectural practice What you'll bring Essential 6 to 8 years in software or application engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector stores Practical experience building multi-agent systems, agent orchestration or MCP-style tool patterns Strong Python, with a track record of production-grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or Anthropic Working knowledge of semantic modelling, ontologies or knowledge graphs Ability to turn open-ended business problems into working prototypes quickly Comfortable in client-facing delivery, ideally within a consultancy Right to work in the Netherlands, and based within reasonable travel of Amsterdam Fluent English; Dutch is a plus but not essential Desirable Domain experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial services Deeper ontology or knowledge graph expertise Experience with LLM evaluation and observability tooling Strong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built are very welcome Who thrives Senior and genuinely hands-on, with plenty of energy for building Self-starting and entrepreneurial, with a bias for action and ownership Calm and structured with ambiguity, reasoning from first principles A builder who prototypes, iterates and ships A clear communicator who can simplify complex systems for clients and colleagues Collaborative and low ego, at home in small senior teams Rigorous about safety, reliability and trust in AI systems Curious and quick to learn, keeping pace with new tools and research About Staffworx Staffworx is a specialist IT and consulting recruitment firm placing permanent, contract, interim and fractional talent across AI and machine learning, software engineering, data, cloud and senior consulting. We partner with software vendors, consultancies, fintechs and global systems integrators across the UK and EMEA, with growing activity in the US. For clients, we focus on quality over volume: a small number of well-screened candidates benchmarked against the brief, clear feedback loops and same-day responses. For candidates, we offer honest market insight, confidential conversations and introductions to roles that genuinely match your experience and ambitions. Whether you are scaling an AI engineering capability or exploring your next move in agentic AI, we would be glad to help.
06/11/2026
Full time
Senior Agentic AI Engineer (Netherlands) A fast-growing, engineering-led AI consultancy with industry recognised entrepreneurial leadership is hiring Senior Agentic AI Engineers to design, build and run production AI systems for its enterprise client base in retail, pharmaceutical, financial services and FMCG/Consumer Products. Permanent | Home-based in the Netherlands | Amsterdam office for team days The opportunity Our client has more enterprise AI work than it can currently staff and is building out its permanent engineering team in the Netherlands. You will be the hands-on engineer in a small, senior client delivery team, working alongside a consultant and a delivery lead. Together you take a loosely defined business problem through to a working, production-grade AI system that is safe, observable and maintainable. Evaluation, guardrails and monitoring are built in from day one. You will also help shape engineering standards and the reusable patterns the wider team builds on. This is a senior individual contributor role for someone who still loves building, not a step into management. What you'll do Agentic and AI systems engineering Design and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Build multi-agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval pipelines: embeddings, vector stores, RAG and semantic search Apply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignment Integrate AI systems with enterprise platforms through APIs, tools and connectors Set the technical direction on your engagements and shape the architecture of client solutions Discovery and solution design Turn ambiguous business needs into clear, practical engineering approaches Assess feasibility across data, systems and architecture Help shape use cases with consultants and explain clearly how a solution will work Work with client domain experts to understand edge cases and operational requirements Produce lightweight technical documentation, diagrams and decision records Quality, reliability and AI operations Implement evaluation frameworks and safety checks across model and agent behaviour Build monitoring, logging, tracing and incident-handling patterns Apply governance, risk and compliance principles to AI deployments, with awareness of EU requirements such as GDPR and the EU AI Act Support release cycles, environments and operational readiness Own reliability, reproducibility and performance benchmarks Building team capability Turn what you build into reusable agent patterns, templates and starter kits Share new research, frameworks and techniques with colleagues Coach peers and influence coding standards and architectural practice What you'll bring Essential 6 to 8 years in software or application engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector stores Practical experience building multi-agent systems, agent orchestration or MCP-style tool patterns Strong Python, with a track record of production-grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or Anthropic Working knowledge of semantic modelling, ontologies or knowledge graphs Ability to turn open-ended business problems into working prototypes quickly Comfortable in client-facing delivery, ideally within a consultancy Right to work in the Netherlands, and based within reasonable travel of Amsterdam Fluent English; Dutch is a plus but not essential Desirable Domain experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial services Deeper ontology or knowledge graph expertise Experience with LLM evaluation and observability tooling Strong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built are very welcome Who thrives Senior and genuinely hands-on, with plenty of energy for building Self-starting and entrepreneurial, with a bias for action and ownership Calm and structured with ambiguity, reasoning from first principles A builder who prototypes, iterates and ships A clear communicator who can simplify complex systems for clients and colleagues Collaborative and low ego, at home in small senior teams Rigorous about safety, reliability and trust in AI systems Curious and quick to learn, keeping pace with new tools and research About Staffworx Staffworx is a specialist IT and consulting recruitment firm placing permanent, contract, interim and fractional talent across AI and machine learning, software engineering, data, cloud and senior consulting. We partner with software vendors, consultancies, fintechs and global systems integrators across the UK and EMEA, with growing activity in the US. For clients, we focus on quality over volume: a small number of well-screened candidates benchmarked against the brief, clear feedback loops and same-day responses. For candidates, we offer honest market insight, confidential conversations and introductions to roles that genuinely match your experience and ambitions. Whether you are scaling an AI engineering capability or exploring your next move in agentic AI, we would be glad to help.
Cloud Platform Software Engineer - JPMorgan Chase - Glasgow Initial 6 Month PAYE Contract Location: Glasgow Working Pattern: 5 Days Per Week Onsite About the Opportunity JPMorgan Chase is seeking an experienced Cloud Platform Software Engineer, for an initial 6 month contract in Glasgow, to join a cloud platform engineering team responsible for building and enhancing strategic multi-cloud solutions used across the firm's global technology estate. This is a hands-on engineering role focused on developing cloud-native automation and platform capabilities that enable secure, scalable infrastructure management across AWS, Azure, GCP and on-premise environments. The team is particularly interested in strong software engineers who enjoy solving complex technical problems through code and automation. The Role You'll play a key part in designing and developing Kubernetes-based automation solutions, helping to simplify the management of cloud resources at enterprise scale. A major focus of the role will be the development of Kubernetes Operators and controllers in Go, alongside the creation of platform services that improve developer experience, operational efficiency and cloud governance. Working within a collaborative engineering environment, you'll contribute to the design, development and evolution of a modern multi-cloud platform supporting a wide range of business-critical applications. Key Responsibilities Develop Kubernetes Operators, Controllers and Custom Resource Definitions (CRDs) using Go Build automation solutions to manage infrastructure and cloud services across multiple environments Develop secure, scalable and resilient cloud-native applications and platform services Contribute to platform architecture, technical design and engineering best practices Enhance observability, reliability and operational performance across cloud environments Collaborate with software engineers, platform engineers and cloud architects Support CI/CD adoption and Infrastructure-as-Code initiatives Troubleshoot complex Kubernetes, cloud and distributed systems challenges Essential Skills Strong commercial software engineering experience Proficiency in Go, Python or Java Hands-on Kubernetes experience within production environments Strong understanding of cloud-native architectures and distributed systems Experience working with AWS, Azure or GCP Knowledge of modern software delivery practices including CI/CD Strong problem-solving and troubleshooting capabilities Desirable Skills Multi-cloud experience across AWS, Azure and GCP Production Go development experience Experience developing Kubernetes Operators, Controllers or CRDs Terraform or other Infrastructure-as-Code tooling Platform Engineering or Internal Developer Platform experience Cloud security and networking knowledge Experience within large enterprise or regulated environments Financial Services experience Exposure to AI-assisted development tools such as GitHub Copilot What We're Looking For The successful candidate will be a Software Engineer first and foremost, with the ability to design and build high-quality solutions while operating comfortably within complex cloud environments. We're particularly interested in individuals who have experience building automation, platforms or developer tooling and can demonstrate strong coding skills alongside Kubernetes expertise. If you're a Software Engineer with strong Kubernetes and cloud experience and are looking to work on large-scale cloud platform technology within one of the world's leading financial institutions, we'd be keen to hear from you. GSC Manchester TET is acting as an Employment Business in relation to this vacancy.
06/11/2026
Contractor
Cloud Platform Software Engineer - JPMorgan Chase - Glasgow Initial 6 Month PAYE Contract Location: Glasgow Working Pattern: 5 Days Per Week Onsite About the Opportunity JPMorgan Chase is seeking an experienced Cloud Platform Software Engineer, for an initial 6 month contract in Glasgow, to join a cloud platform engineering team responsible for building and enhancing strategic multi-cloud solutions used across the firm's global technology estate. This is a hands-on engineering role focused on developing cloud-native automation and platform capabilities that enable secure, scalable infrastructure management across AWS, Azure, GCP and on-premise environments. The team is particularly interested in strong software engineers who enjoy solving complex technical problems through code and automation. The Role You'll play a key part in designing and developing Kubernetes-based automation solutions, helping to simplify the management of cloud resources at enterprise scale. A major focus of the role will be the development of Kubernetes Operators and controllers in Go, alongside the creation of platform services that improve developer experience, operational efficiency and cloud governance. Working within a collaborative engineering environment, you'll contribute to the design, development and evolution of a modern multi-cloud platform supporting a wide range of business-critical applications. Key Responsibilities Develop Kubernetes Operators, Controllers and Custom Resource Definitions (CRDs) using Go Build automation solutions to manage infrastructure and cloud services across multiple environments Develop secure, scalable and resilient cloud-native applications and platform services Contribute to platform architecture, technical design and engineering best practices Enhance observability, reliability and operational performance across cloud environments Collaborate with software engineers, platform engineers and cloud architects Support CI/CD adoption and Infrastructure-as-Code initiatives Troubleshoot complex Kubernetes, cloud and distributed systems challenges Essential Skills Strong commercial software engineering experience Proficiency in Go, Python or Java Hands-on Kubernetes experience within production environments Strong understanding of cloud-native architectures and distributed systems Experience working with AWS, Azure or GCP Knowledge of modern software delivery practices including CI/CD Strong problem-solving and troubleshooting capabilities Desirable Skills Multi-cloud experience across AWS, Azure and GCP Production Go development experience Experience developing Kubernetes Operators, Controllers or CRDs Terraform or other Infrastructure-as-Code tooling Platform Engineering or Internal Developer Platform experience Cloud security and networking knowledge Experience within large enterprise or regulated environments Financial Services experience Exposure to AI-assisted development tools such as GitHub Copilot What We're Looking For The successful candidate will be a Software Engineer first and foremost, with the ability to design and build high-quality solutions while operating comfortably within complex cloud environments. We're particularly interested in individuals who have experience building automation, platforms or developer tooling and can demonstrate strong coding skills alongside Kubernetes expertise. If you're a Software Engineer with strong Kubernetes and cloud experience and are looking to work on large-scale cloud platform technology within one of the world's leading financial institutions, we'd be keen to hear from you. GSC Manchester TET is acting as an Employment Business in relation to this vacancy.
Senior Platform Engineer (AI) 6 Month Initial Contract Hybrid / East Midlands Outside IRR35 VIQU are supporting a large organisation who are seeking an experienced Senior Platform Engineer (AI) to support the build and evolution of a new AI Platform. This role will focus on designing, implementing and maintaining the foundational cloud infrastructure, governance controls and automation capabilities that enable the secure deployment and scaling of AI solutions across the organisation. Senior Platform Engineer (AI): Role Responsibilities Design, build and maintain Azure landing zones, cloud foundations and platform services that support enterprise AI and cloud workloads. Develop and maintain Terraform modules, Infrastructure-as-Code standards and automated deployment frameworks. Deliver secure, scalable container-based platforms using AKS, Azure Container Apps and Azure Container Registry. Implement cloud networking, security, identity and governance controls in line with enterprise best practices and zero-trust principles. Support the implementation of AI solutions by introducing platform guardrails, observability, monitoring and operational controls. Collaborate with architects, developers and stakeholders whilst mentoring engineers and promoting cloud engineering best practices across the team. Senior Platform Engineer (AI): Key Skills & Experience Required Proven experience designing and supporting enterprise Microsoft Azure platforms, including Azure Landing Zones, governance frameworks and cloud foundations. Strong Terraform and Infrastructure-as-Code expertise, including the development of reusable modules, templates and platform standards. Hands-on experience with AKS, Kubernetes, Azure Container Apps and Azure Container Registry. Strong Azure networking experience, including Virtual Networks, ExpressRoute, DNS, Private Endpoints, NSGs, ASGs and Azure Firewall. Experience delivering CI/CD pipelines, platform automation and cloud engineering best practices using Azure DevOps, scripting and automation tooling. Strong understanding of cloud security, Entra ID, RBAC, identity management and zero-trust access control models. Experience working with modern AI platform technologies, including areas such as vector databases, MCP integrations, observability, FinOps, GCP and workflow orchestration tools such as n8n. Contract details: Role: Senior Platform Engineer (AI) Duration: 6 months initial with scope to extend IR35: Outside Rate: £500 - £600 per day Location: Hybrid / Leicester Apply now to speak with VIQU IT in confidence. Or reach out to Suzie Stone via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.
06/11/2026
Contractor
Senior Platform Engineer (AI) 6 Month Initial Contract Hybrid / East Midlands Outside IRR35 VIQU are supporting a large organisation who are seeking an experienced Senior Platform Engineer (AI) to support the build and evolution of a new AI Platform. This role will focus on designing, implementing and maintaining the foundational cloud infrastructure, governance controls and automation capabilities that enable the secure deployment and scaling of AI solutions across the organisation. Senior Platform Engineer (AI): Role Responsibilities Design, build and maintain Azure landing zones, cloud foundations and platform services that support enterprise AI and cloud workloads. Develop and maintain Terraform modules, Infrastructure-as-Code standards and automated deployment frameworks. Deliver secure, scalable container-based platforms using AKS, Azure Container Apps and Azure Container Registry. Implement cloud networking, security, identity and governance controls in line with enterprise best practices and zero-trust principles. Support the implementation of AI solutions by introducing platform guardrails, observability, monitoring and operational controls. Collaborate with architects, developers and stakeholders whilst mentoring engineers and promoting cloud engineering best practices across the team. Senior Platform Engineer (AI): Key Skills & Experience Required Proven experience designing and supporting enterprise Microsoft Azure platforms, including Azure Landing Zones, governance frameworks and cloud foundations. Strong Terraform and Infrastructure-as-Code expertise, including the development of reusable modules, templates and platform standards. Hands-on experience with AKS, Kubernetes, Azure Container Apps and Azure Container Registry. Strong Azure networking experience, including Virtual Networks, ExpressRoute, DNS, Private Endpoints, NSGs, ASGs and Azure Firewall. Experience delivering CI/CD pipelines, platform automation and cloud engineering best practices using Azure DevOps, scripting and automation tooling. Strong understanding of cloud security, Entra ID, RBAC, identity management and zero-trust access control models. Experience working with modern AI platform technologies, including areas such as vector databases, MCP integrations, observability, FinOps, GCP and workflow orchestration tools such as n8n. Contract details: Role: Senior Platform Engineer (AI) Duration: 6 months initial with scope to extend IR35: Outside Rate: £500 - £600 per day Location: Hybrid / Leicester Apply now to speak with VIQU IT in confidence. Or reach out to Suzie Stone via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.
Lead QA Engineer - London / Birmingham, Flexible hybrid working Full-Time / Permanent Competitive salary + bonus and excellent benefits including healthcare, wellbeing support, 27 days' annual leave plus bank holidays, life insurance and more. We're looking for a detail orientated Lead QA Engineer to establish and lead our quality engineering practice across Digital & Technology at Compass Group UK & Ireland - a global leader in food services. As Lead QA Engineer you'll play an integral role in helping teams release software quickly, safely and with confidence. This is an exciting opportunity to drive automation, shift-left testing, quality standards and engineering excellence while building an in-house capability that supports our AI-first strategy and modern product delivery approach. If you're passionate about quality engineering, continuous improvement and enabling high-performing teams, we'd love to hear from you. Compass Digital & Technology is where ideas turn into possibilities. We're the technology team behind Compass Group UK&I, part of Compass Group, one of the world's largest hospitality businesses. We're shaping the next generation of products, platforms and experiences for Compass Group, harnessing AI to create competitive advantage and accelerate growth. We create, manage and deploy technology which supports our operators, clients and guests. From enterprise-scale cloud engineering, cybersecurity, mobile ordering and guest-facing experiences to everyday IT support. Our work reaches across our business and all walks of life, from schools to banks and into the daily lives of millions of people. But D&T is about more than technology. It's a place to be curious, challenge what's possible and turn great ideas into real outcomes. A place where talented people collaborate, experiment, learn and make an impact at scale. We own it from idea to outcome. We challenge what's possible. And together, we're creating better solutions, every day. Lead QA Engineer - The role Lead and define the Digital & Technology quality engineering strategy, operating model, standards and automation roadmap. Drive test automation frameworks, shift-left testing practices and risk-based quality assurance approaches across product squads. Establish quality gates within CI/CD pipelines to ensure robust release assurance and production readiness. Coach and develop QA Engineers and delivery teams in automation, exploratory testing, defect prevention and quality best practice. Partner with Software Engineering, Platform Engineering and Site Reliability Engineering teams to embed performance, resilience, observability and operability into products. Implement AI-assisted testing techniques to improve test coverage, generate test cases and accelerate regression testing. Analyse quality trends, defect leakage and release performance to drive continuous improvement initiatives. Establish testing standards for performance, resilience, security and accessibility assurance where required. Collaborate with suppliers and partners to ensure quality standards are met while supporting the transition to an enhanced in-house capability. What we're looking for Experience leading quality engineering within agile, product-led technology environments. Strong knowledge of automated testing, test strategy, API testing, test data management and quality engineering best practices. Experience implementing CI/CD quality gates, release assurance processes and automation frameworks. Ability to drive the transition from manual testing to automated, risk-based and evidence-led quality assurance. Strong understanding of non-functional testing including performance, resilience, security and accessibility considerations. Excellent stakeholder management and collaboration skills, with experience working across engineering, operations and product teams. Data-led approach to quality metrics, defect analysis and continuous improvement. Passion for coaching, mentoring and developing engineering capability. What you'll get in return Competitive salary with bonus and full company benefits 27 days' annual leave plus bank holidays, your birthday off, and a holiday purchase scheme Healthcare & wellbeing: Aviva Digicare, Medicash (dental, optical, therapy treatments) Mental health support: 24/7 Employee Assistance Programme Family benefits: Enhanced maternity, paternity, and adoption leave. 2 days' additional leave after returning from maternity leave, day off for your baby's first birthday, enhanced family leave Perks & discounts: Shopping, entertainment, and travel discounts, 20% off Nuffield Health and 10% off PureGym memberships Financial wellbeing: Pension scheme, Life Assurance, preferred rates on salary finance products Development opportunities: Professional subscriptions, ongoing training and structured career pathways Compass Group is committed to creating a diverse and inclusive workplace where everyone can thrive.
06/11/2026
Full time
Lead QA Engineer - London / Birmingham, Flexible hybrid working Full-Time / Permanent Competitive salary + bonus and excellent benefits including healthcare, wellbeing support, 27 days' annual leave plus bank holidays, life insurance and more. We're looking for a detail orientated Lead QA Engineer to establish and lead our quality engineering practice across Digital & Technology at Compass Group UK & Ireland - a global leader in food services. As Lead QA Engineer you'll play an integral role in helping teams release software quickly, safely and with confidence. This is an exciting opportunity to drive automation, shift-left testing, quality standards and engineering excellence while building an in-house capability that supports our AI-first strategy and modern product delivery approach. If you're passionate about quality engineering, continuous improvement and enabling high-performing teams, we'd love to hear from you. Compass Digital & Technology is where ideas turn into possibilities. We're the technology team behind Compass Group UK&I, part of Compass Group, one of the world's largest hospitality businesses. We're shaping the next generation of products, platforms and experiences for Compass Group, harnessing AI to create competitive advantage and accelerate growth. We create, manage and deploy technology which supports our operators, clients and guests. From enterprise-scale cloud engineering, cybersecurity, mobile ordering and guest-facing experiences to everyday IT support. Our work reaches across our business and all walks of life, from schools to banks and into the daily lives of millions of people. But D&T is about more than technology. It's a place to be curious, challenge what's possible and turn great ideas into real outcomes. A place where talented people collaborate, experiment, learn and make an impact at scale. We own it from idea to outcome. We challenge what's possible. And together, we're creating better solutions, every day. Lead QA Engineer - The role Lead and define the Digital & Technology quality engineering strategy, operating model, standards and automation roadmap. Drive test automation frameworks, shift-left testing practices and risk-based quality assurance approaches across product squads. Establish quality gates within CI/CD pipelines to ensure robust release assurance and production readiness. Coach and develop QA Engineers and delivery teams in automation, exploratory testing, defect prevention and quality best practice. Partner with Software Engineering, Platform Engineering and Site Reliability Engineering teams to embed performance, resilience, observability and operability into products. Implement AI-assisted testing techniques to improve test coverage, generate test cases and accelerate regression testing. Analyse quality trends, defect leakage and release performance to drive continuous improvement initiatives. Establish testing standards for performance, resilience, security and accessibility assurance where required. Collaborate with suppliers and partners to ensure quality standards are met while supporting the transition to an enhanced in-house capability. What we're looking for Experience leading quality engineering within agile, product-led technology environments. Strong knowledge of automated testing, test strategy, API testing, test data management and quality engineering best practices. Experience implementing CI/CD quality gates, release assurance processes and automation frameworks. Ability to drive the transition from manual testing to automated, risk-based and evidence-led quality assurance. Strong understanding of non-functional testing including performance, resilience, security and accessibility considerations. Excellent stakeholder management and collaboration skills, with experience working across engineering, operations and product teams. Data-led approach to quality metrics, defect analysis and continuous improvement. Passion for coaching, mentoring and developing engineering capability. What you'll get in return Competitive salary with bonus and full company benefits 27 days' annual leave plus bank holidays, your birthday off, and a holiday purchase scheme Healthcare & wellbeing: Aviva Digicare, Medicash (dental, optical, therapy treatments) Mental health support: 24/7 Employee Assistance Programme Family benefits: Enhanced maternity, paternity, and adoption leave. 2 days' additional leave after returning from maternity leave, day off for your baby's first birthday, enhanced family leave Perks & discounts: Shopping, entertainment, and travel discounts, 20% off Nuffield Health and 10% off PureGym memberships Financial wellbeing: Pension scheme, Life Assurance, preferred rates on salary finance products Development opportunities: Professional subscriptions, ongoing training and structured career pathways Compass Group is committed to creating a diverse and inclusive workplace where everyone can thrive.
