ArtOfBlockchain

Senior DevOps Engineer - Kubernetes - London, United Kingdom - Hybrid - Not Specified Senior DevOps Engineer at Elliptic, London, United Kingdom. Location: London, United Kingdom Work model: Hybrid Time zone: Not specified Work authorization: Not specified AOB Job Summary Elliptic provides blockchain intelligence solutions that help compliance teams, investigators, regulators, and financial institutions monitor and analyze digital asset activity across blockchain networks. The company's infrastructure supports large-scale transaction screening, investigations, and risk management operations. This Senior DevOps Engineer role focuses on building and operating resilient cloud infrastructure, Kubernetes platforms, CI/CD systems, observability frameworks, and security-focused engineering practices. Working across engineering teams, the position contributes to platform reliability, developer productivity, cloud-native architecture, and blockchain infrastructure roles while supporting scalable systems that process high-volume data and mission-critical workloads. Relevant for organizations building a web3 engineering team focused on infrastructure, platform reliability, and cloud operations. Responsibilities Provide senior-level DevOps expertise and technical leadership across engineering teams. Promote DevOps, security, and reliability engineering best practices throughout the organization. Provision and maintain resilient infrastructure across multiple cloud regions and availability zones. Build compliant and reliable developer platforms centered around Kubernetes container orchestration. Enable continuous delivery and deployment through CI/CD pipelines and GitOps methodologies. Support security-first development practices, automated testing, and progressive production deployments. Measure and improve developer productivity and software delivery lifecycle efficiency. Optimize infrastructure costs through rightsizing and on-demand environment provisioning. Implement monitoring, observability, security, and reliability capabilities using metrics, logs, tracing, dashboards, SIEM, and APM solutions. Reduce operational overhead through automation and long-term platform improvements. Suitable for companies developing a web3 talent acquisition strategy around platform engineering and cloud infrastructure expertise. Requirements Strong experience in DevOps, security engineering, and reliability engineering. Production experience with Kubernetes, including cluster lifecycle management, APIs, Operators, Helm, add-ons, and CNCF ecosystem components. Infrastructure-as-Code expertise using Terraform across AWS and GCP environments. Experience provisioning cloud infrastructure using Kubernetes-based provisioning frameworks such as Crossplane, ACK, or KRO. Experience building cloud-native containerized and serverless applications in distributed Kubernetes environments. Knowledge of service mesh technologies such as Istio, Linkerd, or App Mesh. Experience developing and maintaining Helm charts for production deployments. Experience implementing CI/CD pipelines using GitLab CI, CircleCI, GitHub Actions, and GitOps platforms such as ArgoCD or FluxCD. Experience troubleshooting distributed systems using observability tools including Splunk, Datadog, logging platforms, and tracing solutions. Experience managing secrets and credentials using HashiCorp Vault. Experience implementing least-privilege access controls using tools such as HashiCorp Boundary. Strong ownership mindset with a focus on reliability, performance, and operational excellence. Bonus Points Experience designing provisioning and testing strategies for multi-cluster Kubernetes environments. Experience building Terraform testing and validation frameworks for production infrastructure. Advanced service mesh implementation experience across Kubernetes environments. Experience developing Kubernetes Operators. Experience with open-source API gateways and ingress controllers. Software engineering experience using Go, Java, JavaScript, or Python. Exposure to distributed software architecture in high-volume production systems. Experience with Data Mesh architectures and technologies such as EMR, Spark, or Databricks. Experience designing, measuring, and testing Service Level Objectives (SLOs), Error Budgets, and Chaos Engineering practices. Experience implementing Business Continuity Planning (BCP) and Disaster Recovery Planning (DRP), including RTO and RPO management. Cryptocurrency infrastructure experience, including running blockchain nodes, currency daemons, or integrating provider APIs. Relevant for professionals exploring remote web3 jobs focused on cloud infrastructure, Kubernetes operations, and platform engineering. Compensation & Benefits Hybrid working model. Work-from-almost-anywhere flexibility for up to 90 days annually. £500 remote working budget for home office setup. $1,000 annual Learning & Development budget. 25 days annual leave plus bank holidays. Additional birthday leave day. Enhanced parental leave with 16 weeks fully paid leave for eligible employees. Private health insurance through Vitality. Access to Spill Mental Health Support. Life assurance coverage equal to four times salary. £100 cryptocurrency benefit. Cycle to Work Scheme. Career Resources Explore blockchain infrastructure roles, web3 security roles, DevOps engineering positions, platform reliability careers, and digital asset technology jobs on Home ArtofBlockchain.

Elliptic develops blockchain intelligence technology that helps financial institutions, regulators, and law enforcement agencies identify financial crime and manage digital asset risk. This Staff AI Engineer position joins the company during a foundational phase of AI platform development, where key architectural decisions, agentic workflows, evaluation frameworks, and observability standards are being established. The role operates across multiple engineering initiatives, helping define scalable AI infrastructure, governance frameworks, and production-ready patterns that support customer facing AI products. Working closely with engineering and product teams, the successful candidate will influence long-term AI strategy, platform standards, and blockchain infrastructure roles while ensuring reliability, auditability, and operational excellence across AI systems. Relevant for organizations developing a web3 talent acquisition strategy around AI leadership and platform architecture. Responsibilities Act as the architectural authority for early stage AI platform decisions and technology evaluations. Assess tooling ecosystems, including LangSmith and Databricks, against the requirements of production scale AI products and provide evidence based recommendations. Collaborate with Investigations & AI and AgentForce engineering teams to ensure agentic architectures and evaluation frameworks are designed for customer facing scale. Maintain an objective and documented AI stack evaluation process, including trade offs, decision criteria, and architectural considerations. Define and promote engineering standards for AI systems, including observability, tracing, prompt management, version control, cost governance, evaluation frameworks, and agent reliability. Produce technical foundation documents that clearly outline architecture decisions, deferred considerations, and system capabilities. Advocate for AI adoption, engineering best practices, and enablement across product and engineering functions. Suitable for teams looking to build a web3 engineering team with strong AI governance and platform foundations. Requirements Experience making production AI architecture decisions involving evaluation frameworks, LLM integration strategies, prompt management, versioning, and observability. Ability to assess technical trade offs and guide long term architectural direction using evidence based decision making. Experience working across internal tooling platforms and customer facing AI products. Strong understanding of reliability, auditability, governance, and cost considerations in production AI systems. Experience designing or significantly influencing AI evaluation or observability frameworks in production environments. Ability to operate effectively as an individual contributor with influence driven through technical leadership rather than people management. Strong communication skills with the ability to align stakeholders around architectural decisions. Comfortable working across teams in environments with evolving requirements and ambiguity. Understanding of explainability, trustworthiness, reliability, and compliance requirements within AI systems. Bonus Points Experience building production grade agentic systems, including orchestration frameworks, tool integration, memory management, and reliability mechanisms. Familiarity with AI ecosystems such as LangSmith, MLflow, Databricks ML, or similar platforms. Experience leading the transition from isolated AI integrations to centralized AI platform architectures. Understanding of organizational and technical challenges associated with AI platform adoption. Interest in cryptocurrency, blockchain technology, and digital assets. Relevant for professionals exploring remote web3 jobs focused on AI architecture, agentic systems, and blockchain intelligence platforms. Compensation & Benefits Hybrid work model. Work from almost anywhere flexibility for up to 90 days annually. £500 remote working budget for home office setup. $1,000 annual Learning & Development budget. 25 days annual leave plus bank holidays. Additional birthday leave day. Enhanced parental leave with 16 weeks fully paid leave for eligible employees. Private health insurance through Vitality. Access to Spill Mental Health Support. Life assurance coverage equal to four times salary. £100 cryptocurrency benefit. Cycle to Work Scheme.

ArtOfBlockchain is seeking a Staff AI Engineer to influence AI platform development during a foundational phase. This role includes responsibilities for making production AI architecture decisions and guiding engineering standards across several engineering initiatives. The successful candidate will collaborate with various teams and help define and maintain a reliable and effective AI infrastructure. A hybrid work model with comprehensive benefits including private health insurance, a remote working budget, and enhanced parental leave is offered.

ArtOfBlockchain is looking for a Senior DevOps Engineer to work in London, focusing on cloud infrastructure and Kubernetes. The role includes senior-level DevOps expertise, the promotion of best practices, and responsibility for resilient infrastructure across cloud environments. With a hybrid model, the position offers benefits such as a remote working budget, health insurance, 25 days off, and an educational budget. Ideal candidates will have extensive Kubernetes and DevOps experience.

Elliptic builds AI-powered compliance and risk intelligence tools that help organizations investigate blockchain transactions and detect financial crime. Their platform processes large-scale blockchain data to enable faster, more accurate decision-making for compliance teams. This role sits within the Automation Forge team, focused on backend systems and AI integrations powering Elliptic's copilot. You'll design APIs, event-driven workflows, and services that transform blockchain data into actionable insights using AI and LLM frameworks. Responsibilities • Design, build, and maintain backend services and event-driven systems using TypeScript and Node.js • Develop APIs and workflows integrating AI and LLM frameworks for intelligent features • Design, optimize, and query data models across relational and NoSQL databases • Collaborate with cross-functional teams to deliver features from concept to production • Participate in technical design reviews, planning sessions, and code reviews • Contribute to infrastructure and observability practices, ensuring production readiness Requirements Core Requirements • 3-6 years of backend engineering experience using TypeScript and Node.js (e.g., NestJS, Express) • Proven ability to design and maintain robust APIs and integrate with external systems • Hands-on experience with AWS services (Lambda, ECS, S3) in production • Proficiency with SQL databases (PostgreSQL or similar) and familiarity with NoSQL systems • Strong analytical approach to system design and technical trade-offs • Effective communication and collaboration across engineering, product, and design teams Nice to Have • Familiarity with LangChain or other LLM/AI frameworks • Experience with Terraform, Kubernetes, or infrastructure-as-code tools • Experience with observability platforms (e.g., Datadog) • Familiarity with distributed or event-driven systems (SNS, SQS) • Interest in cryptocurrency, blockchain, or compliance domains Compensation & Benefits • Hybrid work model with option to work remotely up to 90 days/year • £500 home office setup budget • $1,000 annual learning & development budget • 25 days annual leave + bank holidays + birthday leave • 16 weeks fully paid parental leave • Private health insurance (Vitality) • Mental health support (Spill) • Life assurance (4x salary coverage) • £100 crypto allocation • Cycle to Work scheme If you're tracking backend and compliance-focused hiring in Web3, this role reflects the growing demand for AI-integrated blockchain analytics systems. Browse more roles at Home ArtofBlockchain

Elliptic builds AI-powered compliance and risk intelligence tools that help organizations investigate blockchain transactions and detect financial crime. Their platform processes large-scale blockchain data to enable faster, more accurate decision-making for compliance teams. This role sits within the Automation Forge team, focused on backend systems and AI integrations powering Elliptic's copilot. You'll design APIs, event-driven workflows, and services that transform blockchain data into actionable insights using AI and LLM frameworks. Responsibilities • Design, build, and maintain backend services and event-driven systems using TypeScript and Node.js • Develop APIs and workflows integrating AI and LLM frameworks for intelligent features • Design, optimize, and query data models across relational and NoSQL databases • Collaborate with cross-functional teams to deliver features from concept to production • Participate in technical design reviews, planning sessions, and code reviews • Contribute to infrastructure and observability practices, ensuring production readiness Requirements Core Requirements • 3-6 years of backend engineering experience using TypeScript and Node.js (e.g., NestJS, Express) • Proven ability to design and maintain robust APIs and integrate with external systems • Hands-on experience with AWS services (Lambda, ECS, S3) in production • Proficiency with SQL databases (PostgreSQL or similar) and familiarity with NoSQL systems • Strong analytical approach to system design and technical trade-offs • Effective communication and collaboration across engineering, product, and design teams Nice to Have • Familiarity with LangChain or other LLM/AI frameworks • Experience with Terraform, Kubernetes, or infrastructure-as-code tools • Experience with observability platforms (e.g., Datadog) • Familiarity with distributed or event-driven systems (SNS, SQS) • Interest in cryptocurrency, blockchain, or compliance domains Compensation & Benefits • Hybrid work model with option to work remotely up to 90 days/year • £500 home office setup budget • $1,000 annual learning & development budget • 25 days annual leave + bank holidays + birthday leave • 16 weeks fully paid parental leave • Private health insurance (Vitality) • Mental health support (Spill) • Life assurance (4x salary coverage) • £100 crypto allocation • Cycle to Work scheme If you're tracking backend and compliance-focused hiring in Web3, this role reflects the growing demand for AI-integrated blockchain analytics systems. Browse more roles at Home ArtofBlockchain