The impact you will have As Staff MLOps Engineer, you will define and build Elliptic's Enterprise MLOps platform. Elliptic has growing ML capability across several teams, an established model registry, and a maturing model risk management practice. What is missing is the unified platform layer that ties training, deployment, monitoring, and governance together into a coherent, scalable discipline. You will be responsible for creating that layer. Your platform will serve four distinct internal consumers, each with different needs: Product Engineering teams building customer-facing models and customer data analytical models, who need reproducible training pipelines, CI/CD for model deployment, and low-latency serving infrastructure Intelligence Research building frontier intelligence collection, predictive pre-screening models, and behavioural pattern detection, who need rapid experimentation, GPU orchestration, and dataset versioning InfoSec who own the model registry and model risk management framework today, and need the platform to close execution gaps in audit trails, drift monitoring, and compliance reporting Operations who own BI, usage prediction, and revenue opportunity signalling, and need scheduled batch inference, BI integration, and pipeline reliability The platform you build must enforce governance with enough rigour to satisfy a regulated financial crime context, while remaining flexible enough to avoid slowing down research teams who need to iterate quickly. This is a role for someone who has built ML infrastructure from the ground up before, who understands that a platform succeeds only when it is adopted, and who is comfortable making build vs buy decisions that others will adopt and use for years. What you will do Define the target state MLOps architecture for Elliptic, covering model training pipelines, serving infrastructure, monitoring, feature management, and governance, and produce the architecture decision records that inform investment decisions Make and document build vs buy vs stop recommendations with clear cost modelling and trade off analysis, evaluating vendors, open-source tools, and managed services against Elliptic's constraints (AWS primary, Databricks ecosystem) Work with InfoSec to improve the existing model registry and model risk management framework, closing identified gaps in metadata, lineage, approval workflows, and drift/bias detection Build model training pipelines, CI/CD for ML, and serving infrastructure, working directly with a small group of infrastructure engineers to ship production grade platform capabilities Instrument observability across the ML lifecycle: training metrics, serving latency and throughput, data quality, and prediction drift, integrating with Elliptic's existing observability stack Work directly with data scientists and ML engineers across all four consumer groups to onboard them onto the platform, writing documentation, runbooks, and reference architectures that lower the barrier to self service You will be a great fit here if you Have built MLOps platforms or ML infrastructure from the ground up, and can speak to what worked, what didn't, and why Have operated in a regulated industry (e.g. compliance, financial) and have hands on experience building ML infrastructure to meet those regulatory demands Think about ML infrastructure the way the best platform engineers think about data infrastructure: as a set of foundations with internal customers whose needs must be understood and balanced Are comfortable operating in ambiguity, making decisions with incomplete information, and creating structure where none exists, while remaining open to changing course when better information arrives Influence through clarity, evidence, and the quality of your work rather than positional authority. You earn adoption by making the platform genuinely better than the alternative Care about production engineering quality: you write production grade code, your systems are tested, observable, documented, and designed for others to operate Our ideal candidate has Deep hands on experience building MLOps platforms, including model registries, feature stores, and ML pipeline orchestration Working knowledge of model serving patterns: real time inference, batch prediction, A/B deployment, and deployment strategies AWS infrastructure experience (ECS/EKS, S3, IAM, networking) and comfort operating in a Databricks ecosystem or equivalent lakehouse architecture Experience with model monitoring: model evaluation, data drift detection, prediction drift, and performance degradation alerting A track record of building something from zero and bringing it to a state where others could operate and extend it Experience in a regulated industry (fintech, financial services, healthcare) where model governance is a compliance requirement See AI as a core part of how modern engineering gets done, not a passing trend. You actively use it to think faster, prototype faster, and pressure test your own designs, and you're excited that the bar keeps rising. Prior experience running formal build vs buy evaluations with written decision records Bonus Points for Familiarity with model risk management frameworks and the ability to connect governance practices to regulatory expectations Experience working simultaneously with research oriented ML teams and production oriented engineering teams, and understanding how their needs diverge Infrastructure as code fluency (Terraform) Experience with ClickHouse or similar OLAP engines for low latency ML feature serving Blockchain or crypto domain knowledge Experience working in fraud detection and modelling Contributions to open source MLOps tooling Job Benefits How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation/ Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Benefits Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
24/05/2026
Full time
The impact you will have As Staff MLOps Engineer, you will define and build Elliptic's Enterprise MLOps platform. Elliptic has growing ML capability across several teams, an established model registry, and a maturing model risk management practice. What is missing is the unified platform layer that ties training, deployment, monitoring, and governance together into a coherent, scalable discipline. You will be responsible for creating that layer. Your platform will serve four distinct internal consumers, each with different needs: Product Engineering teams building customer-facing models and customer data analytical models, who need reproducible training pipelines, CI/CD for model deployment, and low-latency serving infrastructure Intelligence Research building frontier intelligence collection, predictive pre-screening models, and behavioural pattern detection, who need rapid experimentation, GPU orchestration, and dataset versioning InfoSec who own the model registry and model risk management framework today, and need the platform to close execution gaps in audit trails, drift monitoring, and compliance reporting Operations who own BI, usage prediction, and revenue opportunity signalling, and need scheduled batch inference, BI integration, and pipeline reliability The platform you build must enforce governance with enough rigour to satisfy a regulated financial crime context, while remaining flexible enough to avoid slowing down research teams who need to iterate quickly. This is a role for someone who has built ML infrastructure from the ground up before, who understands that a platform succeeds only when it is adopted, and who is comfortable making build vs buy decisions that others will adopt and use for years. What you will do Define the target state MLOps architecture for Elliptic, covering model training pipelines, serving infrastructure, monitoring, feature management, and governance, and produce the architecture decision records that inform investment decisions Make and document build vs buy vs stop recommendations with clear cost modelling and trade off analysis, evaluating vendors, open-source tools, and managed services against Elliptic's constraints (AWS primary, Databricks ecosystem) Work with InfoSec to improve the existing model registry and model risk management framework, closing identified gaps in metadata, lineage, approval workflows, and drift/bias detection Build model training pipelines, CI/CD for ML, and serving infrastructure, working directly with a small group of infrastructure engineers to ship production grade platform capabilities Instrument observability across the ML lifecycle: training metrics, serving latency and throughput, data quality, and prediction drift, integrating with Elliptic's existing observability stack Work directly with data scientists and ML engineers across all four consumer groups to onboard them onto the platform, writing documentation, runbooks, and reference architectures that lower the barrier to self service You will be a great fit here if you Have built MLOps platforms or ML infrastructure from the ground up, and can speak to what worked, what didn't, and why Have operated in a regulated industry (e.g. compliance, financial) and have hands on experience building ML infrastructure to meet those regulatory demands Think about ML infrastructure the way the best platform engineers think about data infrastructure: as a set of foundations with internal customers whose needs must be understood and balanced Are comfortable operating in ambiguity, making decisions with incomplete information, and creating structure where none exists, while remaining open to changing course when better information arrives Influence through clarity, evidence, and the quality of your work rather than positional authority. You earn adoption by making the platform genuinely better than the alternative Care about production engineering quality: you write production grade code, your systems are tested, observable, documented, and designed for others to operate Our ideal candidate has Deep hands on experience building MLOps platforms, including model registries, feature stores, and ML pipeline orchestration Working knowledge of model serving patterns: real time inference, batch prediction, A/B deployment, and deployment strategies AWS infrastructure experience (ECS/EKS, S3, IAM, networking) and comfort operating in a Databricks ecosystem or equivalent lakehouse architecture Experience with model monitoring: model evaluation, data drift detection, prediction drift, and performance degradation alerting A track record of building something from zero and bringing it to a state where others could operate and extend it Experience in a regulated industry (fintech, financial services, healthcare) where model governance is a compliance requirement See AI as a core part of how modern engineering gets done, not a passing trend. You actively use it to think faster, prototype faster, and pressure test your own designs, and you're excited that the bar keeps rising. Prior experience running formal build vs buy evaluations with written decision records Bonus Points for Familiarity with model risk management frameworks and the ability to connect governance practices to regulatory expectations Experience working simultaneously with research oriented ML teams and production oriented engineering teams, and understanding how their needs diverge Infrastructure as code fluency (Terraform) Experience with ClickHouse or similar OLAP engines for low latency ML feature serving Blockchain or crypto domain knowledge Experience working in fraud detection and modelling Contributions to open source MLOps tooling Job Benefits How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation/ Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Benefits Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Elliptic Enterprises Ltd. is seeking a Staff MLOps Engineer to define and build its Enterprise MLOps platform in London. The role requires deep knowledge of MLOps practices, AWS infrastructure, and familiarity with regulated industries. You will create a scalable platform for diverse teams focusing on governance and rapid experimentation. Benefits include 25 days of annual leave, private health insurance, and a £1,000 learning budget.
24/05/2026
Full time
Elliptic Enterprises Ltd. is seeking a Staff MLOps Engineer to define and build its Enterprise MLOps platform in London. The role requires deep knowledge of MLOps practices, AWS infrastructure, and familiarity with regulated industries. You will create a scalable platform for diverse teams focusing on governance and rapid experimentation. Benefits include 25 days of annual leave, private health insurance, and a £1,000 learning budget.
Elliptic Enterprises Ltd. seeks a Data Engineer to build and maintain data pipelines processing large-scale blockchain datasets. You will collaborate with cross-functional teams and design efficient data systems crucial for informed decision-making. The ideal candidate enjoys writing clean code and has experience with Scala, Spark, and cloud technologies. This role offers hybrid working options and generous vacation plus learning budgets.
20/05/2026
Full time
Elliptic Enterprises Ltd. seeks a Data Engineer to build and maintain data pipelines processing large-scale blockchain datasets. You will collaborate with cross-functional teams and design efficient data systems crucial for informed decision-making. The ideal candidate enjoys writing clean code and has experience with Scala, Spark, and cloud technologies. This role offers hybrid working options and generous vacation plus learning budgets.
Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
20/05/2026
Full time
Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It's how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. Elliptic's underlying infrastructure must be as resilient and sharp as the intelligence it delivers. We are looking for a Senior DevOps Engineer with a strong background in DevOps and extensive hands on experience with Kubernetes, someone who thrives on taking ownership, driving initiatives from concept to delivery, making informed decisions, and proactively improving systems and processes. You'll play a key role in shaping our platform strategy, collaborating with talented engineers, and fostering a culture of reliability, security, and efficiency. Impact you will have You will have a transformative impact across Elliptic by evangelising DevOps, security, and reliability principles and fostering a culture of efficiency and autonomy. You will join a growing team of experienced and passionate engineers who are not afraid to fail and enjoy tackling difficult problems head on. What you will do Provide senior DevOps expertise and leadership across Engineering at all layers of the stack Evangelise DevOps, security and reliability engineering across the Engineering team at large Provision resilient infrastructure across multiple regions and AZs Build compliant, reliable and featureful developer platforms centered on container orchestration Enable Continuous Delivery and Deployment capabilities using CICD pipelines and GitOps tooling Enable shifting left on security and testing, and facilitate progressive delivery in production Measure and improve developer productivity and experience across the SDLC Cost optimise infra through rightsizing and creating ephemeral, on demand environments Proactively monitor for security and reliability using Observability tooling including SIEM, APM, tracing, infrastructure metrics, logs and dashboards Durably engineer away toil Great fit Are passionate about DevOps and, Security and Reliability engineering Are passionate about helping engineering teams become high performing teams Are passionate about helping build reliable and performant cloud native applications Act like an owner in every decision you take Take challenges as opportunities Enable our customers to achieve their mission Are open with success, failure and learnings Continuously test, learn and improve Ideal candidate experience Kubernetes container orchestration platform with an understanding of the cluster lifecycle, API, Operator pattern, Helm charts, addons and components from the CNCF landscape Writing Infrastructure as Code using Terraform against AWS, GCP, considering internal and external modularisation, multi environment branching strategies, state manipulation, working to multiple versions Provisioning cloud infrastructure to AWS, GCP, through Kubernetes controllers such as Crossplane, ACK, KRO Building cloud native container and serverless applications in distributed architectures on Kubernetes and Service Meshes such as Istio, Linkerd, App Mesh Writing Helm charts to package and deliver application stacks into production Delivering applications and infrastructure continuously using CI/CD tools such as GitlabCI, CircleCI, Github Actions, and GitOps using ArgoCD, FluxCD Troubleshooting and debugging applications using Observability tooling across microservices and serverless applications such as Splunk, DataDog Managing ephemeral secrets and credentials using Hashicorp Vault Managing least privileged access to cloud resources using TPAM solutions such as Hashicorp Boundary Bonus points Production experience architecting provisioning and testing strategies for multi cluster Kubernetes deployments Development and testing strategies for Terraform for Production Production experience with advanced multi cluster Service Mesh capabilities on Kubernetes Production experience developing Kubernetes Operators Production experience with OSS API Gateways and Ingress controllers Production Software Engineering using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing to SLOs and Chaos Engineering toError Budgets Implementing Business Continuity (BCP) and Disaster Recovery (DRP) plans including tracking RTO and RPO CryptoCurrency domain knowledge and infrastructure experience running Currency Daemons, integrating provider APIs We know Diversity and Inclusion are much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, which is our ongoing priority. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety where everyone feels comfortable bringing their whole self to work. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
20/05/2026
Full time
Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It's how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. Elliptic's underlying infrastructure must be as resilient and sharp as the intelligence it delivers. We are looking for a Senior DevOps Engineer with a strong background in DevOps and extensive hands on experience with Kubernetes, someone who thrives on taking ownership, driving initiatives from concept to delivery, making informed decisions, and proactively improving systems and processes. You'll play a key role in shaping our platform strategy, collaborating with talented engineers, and fostering a culture of reliability, security, and efficiency. Impact you will have You will have a transformative impact across Elliptic by evangelising DevOps, security, and reliability principles and fostering a culture of efficiency and autonomy. You will join a growing team of experienced and passionate engineers who are not afraid to fail and enjoy tackling difficult problems head on. What you will do Provide senior DevOps expertise and leadership across Engineering at all layers of the stack Evangelise DevOps, security and reliability engineering across the Engineering team at large Provision resilient infrastructure across multiple regions and AZs Build compliant, reliable and featureful developer platforms centered on container orchestration Enable Continuous Delivery and Deployment capabilities using CICD pipelines and GitOps tooling Enable shifting left on security and testing, and facilitate progressive delivery in production Measure and improve developer productivity and experience across the SDLC Cost optimise infra through rightsizing and creating ephemeral, on demand environments Proactively monitor for security and reliability using Observability tooling including SIEM, APM, tracing, infrastructure metrics, logs and dashboards Durably engineer away toil Great fit Are passionate about DevOps and, Security and Reliability engineering Are passionate about helping engineering teams become high performing teams Are passionate about helping build reliable and performant cloud native applications Act like an owner in every decision you take Take challenges as opportunities Enable our customers to achieve their mission Are open with success, failure and learnings Continuously test, learn and improve Ideal candidate experience Kubernetes container orchestration platform with an understanding of the cluster lifecycle, API, Operator pattern, Helm charts, addons and components from the CNCF landscape Writing Infrastructure as Code using Terraform against AWS, GCP, considering internal and external modularisation, multi environment branching strategies, state manipulation, working to multiple versions Provisioning cloud infrastructure to AWS, GCP, through Kubernetes controllers such as Crossplane, ACK, KRO Building cloud native container and serverless applications in distributed architectures on Kubernetes and Service Meshes such as Istio, Linkerd, App Mesh Writing Helm charts to package and deliver application stacks into production Delivering applications and infrastructure continuously using CI/CD tools such as GitlabCI, CircleCI, Github Actions, and GitOps using ArgoCD, FluxCD Troubleshooting and debugging applications using Observability tooling across microservices and serverless applications such as Splunk, DataDog Managing ephemeral secrets and credentials using Hashicorp Vault Managing least privileged access to cloud resources using TPAM solutions such as Hashicorp Boundary Bonus points Production experience architecting provisioning and testing strategies for multi cluster Kubernetes deployments Development and testing strategies for Terraform for Production Production experience with advanced multi cluster Service Mesh capabilities on Kubernetes Production experience developing Kubernetes Operators Production experience with OSS API Gateways and Ingress controllers Production Software Engineering using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing to SLOs and Chaos Engineering toError Budgets Implementing Business Continuity (BCP) and Disaster Recovery (DRP) plans including tracking RTO and RPO CryptoCurrency domain knowledge and infrastructure experience running Currency Daemons, integrating provider APIs We know Diversity and Inclusion are much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, which is our ongoing priority. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety where everyone feels comfortable bringing their whole self to work. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Elliptic Enterprises Ltd. is seeking a Senior DevOps Engineer in Greater London. This role requires a strong background in DevOps and extensive hands-on experience with Kubernetes. You'll play a key role in shaping the platform strategy while collaborating with talented engineers and fostering a culture of efficiency and reliability. The position offers hybrid working options, a £500 remote working budget, and a strong focus on diversity and inclusion within the workplace.
20/05/2026
Full time
Elliptic Enterprises Ltd. is seeking a Senior DevOps Engineer in Greater London. This role requires a strong background in DevOps and extensive hands-on experience with Kubernetes. You'll play a key role in shaping the platform strategy while collaborating with talented engineers and fostering a culture of efficiency and reliability. The position offers hybrid working options, a £500 remote working budget, and a strong focus on diversity and inclusion within the workplace.