Associate Staff Engineer, ServiceNow(Source to Pay)

Design, develop, test and support clinical trial software with emphasis on patient safety and data integrity. Responsibilities include reviewing requirements, creating technical design and implementation documentation, coding, unit testing, managing deployments, and assisting with production issue resolution. Requires bachelor's degree or equivalent and strong problem-solving, organizational and communication skills; over 5 years of experience.

Senior Staff Engineer for ServiceNow (remote, India). Responsible for designing, developing and maintaining ServiceNow solutions (primarily SPM and CSM), building integrations, scripting (Business Rules, Client Scripts, UI Policies, UI Actions, Jelly, AngularJS), performing integration testing and troubleshooting, and ensuring adherence to platform governance and best practices. Requires 7+ years of ServiceNow development experience; experience with HRSD, ITOM, GRC and ITIL knowledge are advantageous.

Seek a Staff Engineer with 5.5+ years' IT experience (listed as 5.5+ in the description) and mandatory ServiceNow CSA certification to lead design, implementation and governance of CSDM-aligned CMDB, Discovery and Service Mapping. Role includes configuring Discovery (probes, sensors, patterns), IRE, integrations (REST/SOAP, Integration Hub, MID Server) and improving CMDB health, plus mentoring junior developers and collaborating with infrastructure, cloud, network, security and application teams.

DoiT seeks a Senior Full-Stack Engineer to lead its AI cost visibility product end-to-end. The role involves building Go backend services, TypeScript/React frontends, API-first design, and working with large cost/usage datasets on public cloud (GCP preferred, BigQuery). Requires 7+ years professional software engineering experience, strong Go and React/TypeScript skills, SQL/analytical-store proficiency, and fluent English. Remote full-time for candidates based in the UK, Ireland, Estonia, the Netherlands, Sweden, Israel, or Portugal (contractor options noted for some Eastern Europe locations).

Hire a Senior Full-Stack Engineer to build and own an AI cost-visibility product end-to-end: backend services in Go, APIs, and React/TypeScript frontends. Role requires 7+ years' professional software engineering experience with multi-tenant SaaS, strong Go and TypeScript/React skills, SQL experience against analytical stores (e.g., BigQuery), cloud experience (GCP preferred; AWS or Azure acceptable), and daily use of AI-augmented tools. Remote within listed EMEA countries; English required.

Work on core backend services that move institutional clients from application to first trade (Unified Business Onboarding, KYC refresh, provisioning). Drive onboarding automation (screening, risk scoring, auto-provisioning), design an Organizations Service as the source of truth for institutional client data, and shape access-control stacks. Requires 5+ years building production backend services, experience with Go (or similar), gRPC/Protobuf, relational data stores, and observability tooling. Remote-first (Remote - USA) with quarterly in-person surges.

Work hands-on with Husky, Datadog's petabyte-scale distributed columnar event store, to migrate storage formats to open standards (Parquet, Arrow, DataFusion), re-imagine compaction, and enable analytical/batch workloads via an Iceberg-compatible handoff to Lakehouse. Responsibilities include cost-reduction work (compression, storage tiering, caching), scaling event versioning, and operating a critical distributed storage service. Role requires experience with large-scale distributed systems and columnar/file storage formats; bonuses include Go/Java/Rust, compression/compaction schemes, object storage at scale, Kafka/stream processing, and Kubernetes.

Work on backend services and APIs to integrate AI/model providers for GitHub Copilot, delivering end-to-end features and operating production systems. Responsibilities include design, implementation, testing, deployment, observability, reliability improvements, progressive delivery, incident response, and cross-team collaboration. Requires experience developing and running cloud-native, high-availability services and familiarity with model/provider integrations.

Principal-level Forward Deployed Engineer role responsible for field-to-engineering leadership across complex enterprise accounts. Responsibilities include architecting and validating vSphere/Kubernetes/VCF topologies, designing production LLM inferencing and distributed AI pipelines on GPU clusters, leading large-scale legacy-to-cloud-native migrations, developing production operators/CRDs, and influencing product roadmaps. Requires extensive experience with Kubernetes internals, operators, GitOps, GPU infrastructure, distributed stateful systems, and systems programming in Go/Python/Java.

Embedded engineering role within the Infrastructure Software Division focused on Kubernetes (VKS/vSphere), large-scale bare metal and legacy migrations, and production AI infrastructure (GPU-accelerated model serving, vector search, distributed data services). Responsible for end-to-end engagements, field implementations, prototyping, and feeding product requirements back to core engineering teams. Requires 12+ years related experience.