DoiT is hiring a remote Data Engineer to expand vendor coverage for cloud and SaaS spend by building integrations against third-party billing and usage APIs, owning ingestion pipelines (orchestration, scheduling, backfills), ensuring data correctness and normalization, and using AI-augmented workflows. The role targets candidates with 3+ years in data engineering or data-heavy backend roles, strong SQL and Python skills, experience with orchestration tools (Dagster/Airflow or equivalents), and familiarity with cloud analytical stores (BigQuery, Snowflake, ClickHouse, Redshift, etc.). The position is open to full-time employees in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel; contractors are also considered in Eastern Europe and Portugal.

Join DoiT's R&D team as a remote Data Engineer to expand vendor coverage by building and maintaining integrations against third-party billing and usage APIs, own ingestion pipelines (orchestration, scheduling, backfills), normalize and reconcile vendor data, and use AI-augmented tooling across the engineering workflow. Requires 3+ years in data engineering or data-heavy backend work, strong SQL and Python skills, and experience with cloud analytical stores and pipeline orchestration (Dagster/Airflow or equivalents).

The Data Engineer will build and maintain integrations with third-party billing and usage APIs, own end-to-end ingestion pipelines (orchestration, scheduling, backfills), and ensure data correctness and normalization across vendors. Requires 3+ years in data engineering or data-heavy backend roles, strong SQL and Python, experience with orchestration frameworks (Dagster/Airflow or equivalent), cloud analytical stores (BigQuery/Snowflake/ClickHouse/Redshift), and experience integrating REST APIs.

Hiring a Data Engineer to build and maintain integrations with third-party billing and usage APIs, own end-to-end ingestion pipelines (orchestration, scheduling, backfills), ensure data correctness and normalization across vendors, and use AI-augmented workflows. Requires 3+ years in data engineering or data-heavy backend roles, strong SQL and Python, experience with orchestration frameworks (Dagster/Airflow) and cloud analytical stores.

Full-time remote Data Engineer responsible for building and maintaining integrations against third-party billing and usage APIs, operating end-to-end ingestion pipelines (orchestration, backfills), ensuring data correctness (deduplication, reconciliation, normalization), and using AI-augmented tooling. Requires 3+ years of data engineering or data-heavy backend experience and strong SQL and Python skills.

DoiT is hiring a Data Engineer to expand vendor coverage and build integrations against third-party billing and usage APIs, own ingestion pipelines (orchestration, scheduling, backfills), ensure data correctness and normalization across vendors, and work with AI-augmented tooling. Requires 3+ years in data engineering or data-heavy backend roles, strong SQL and Python, experience with orchestration frameworks (Dagster/Airflow preferred), cloud data warehouses (BigQuery/ClickHouse/Snowflake/Redshift or similar), and API integration experience. Role is remote and available as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, Israel, and contractors considered in Eastern Europe and Portugal.

Principal-level role to set technical direction and drive architecture for application networking in Elastic Cloud, including Ingress, DNS, private connectivity, and security controls. Responsibilities include leading cross-organizational projects, improving performance, reliability, and operability, participating in on-call and incident investigations, and mentoring engineers. Bonus experience includes Kubernetes networking tools (Cilium, external-dns, Envoy Gateway, Crossplane) and major cloud providers (AWS, Azure, GCP).

Lead technical direction for capacity management and workload placement for Datadog's Kubernetes platform spanning a large multi-cloud fleet. Design and build systems to optimize scheduling and deployment across regions, develop production software in Go, use capacity signals and forecasting to influence infrastructure decisions, and partner with infrastructure teams. Role is based in Dublin (Ireland), Madrid (Spain), or Paris (France); Datadog operates as a hybrid workplace.

Astronomer seeks a Staff Software Engineer on its Platform team to own platform infrastructure strategy and implementation across multi-cloud environments. The role requires deep distributed systems and Kubernetes operator experience, strong Go proficiency, multi-cloud architecture experience (AWS/GCP/Azure), and the ability to write influential design documents and postmortems. Responsibilities include designing for failure modes, operating clusters under load, and shaping platform outcomes for Astronomer's SaaS products.

Join Astronomer’s Platform team to own and implement platform infrastructure strategy across a multi-cloud estate (AWS/GCP/Azure). Role involves designing and building production platform systems, operating Kubernetes clusters, authoring design docs and postmortems, and driving architectural decisions. Locations listed: New York City, London, Ireland. Estimated total compensation range: $275,000–$377,000 (USD, annual).

Seeking an Engineering Manager to lead and grow a hands-on engineering team building cloud-based SaaS products. Requires 10+ years engineering experience (including 4+ years in engineering management with active coding), strong cloud experience (AWS/GCP/Azure), BigQuery/SQL and database expertise, and experience driving delivery, architecture, hiring, and AI-augmented workflows. Role is remote and based in the USA, UK, Ireland, Estonia, the Netherlands, Sweden, or Israel.

DoiT is hiring a Technical Product Owner to embed with the Core Services engineering team and translate VP-level strategy into a prioritized, shippable backlog. Responsibilities include backlog leadership, customer validation (regular customer calls), engineering collaboration, release readiness, and defining success metrics. The role focuses on foundational platform capabilities such as identity and access management, authentication/authorization, tenant/customer services, shared APIs, platform integrations, and other cross-cutting infrastructure. Candidates should have deep hands-on experience with public cloud (AWS/GCP/Azure), DevOps/SRE practices, distributed systems, Kubernetes, observability, automation, and security/governance.

Hiring a senior Technical Product Owner to embed with the Core Services engineering team and own delivery, iteration, and measurement for foundational platform capabilities (identity, auth, tenant services, shared APIs, integrations). Requires ~7+ years hands-on experience with platform/DevOps/SRE/cloud technologies (AWS/GCP/Azure), strong systems thinking, prioritization, and customer validation skills.

Twilio is hiring a Staff Software Engineer for the Voice Connectivity Trust team (remote, based in Ireland). Role requires 8+ years working on JVM-based large-scale distributed applications, strong CS fundamentals, hands-on Java, experience with RESTful APIs, event-driven architectures (Kafka, SQS), CI/CD, monitoring (Prometheus, Datadog, Grafana), cloud platforms (AWS/GCP/Azure/OpenStack), on-call/incident response, and working with AI coding assistants. SIP and STIR/SHAKEN experience is desired. Occasional travel may be required.

Join Twilio's Commerce Platform team to design, build and operate core billing and account lifecycle microservices and REST APIs at scale. Role requires designing scalable distributed systems, writing testable code, troubleshooting production systems, and working with AWS, Kafka, Kubernetes/EKS, relational and non-relational databases, and observability tooling.

DoiT seeks a Senior Cloud Architect (Forward Deployed Engineering, Delivery) to lead hands-on design and implementation of ML/GenAI workloads on AWS, drive cloud optimizations (cost, reliability, security), convert field work into reusable patterns and DCI product feedback, and operate as an embedded technical partner on account teams. Requires 4+ years architecting and managing cloud-based AI/ML solutions and hands-on experience with AWS services such as SageMaker and Bedrock.

Join DoiT as a Senior Cloud Architect within the Forward Deployed Engineering (FDE) Delivery team. The role focuses on hands-on design and implementation of production ML/GenAI workloads on AWS (with multi-cloud awareness), improving cost, reliability, security, and observability, and converting field work into reusable patterns and product feedback. Requires 4+ years architecting and managing cloud-based AI/ML solutions and strong experience with AWS services such as Amazon Bedrock and SageMaker. Remote in the UK, Ireland, Estonia, Sweden, the Netherlands, Israel; contractor options in Eastern Europe and Portugal.

Join the Forward Deployment Engineering team as a Senior Cloud Architect delivering hands-on design and implementation of ML and Generative AI solutions on AWS. You will work with customer account teams to improve product adoption and cloud health through cost optimization, reliability, security, automation and observable architectures. The role requires 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions and expertise with AWS services such as SageMaker and Bedrock, plus strong skills in MLOps, CI/CD, infrastructure as code, and cross-functional collaboration.

This remote Senior Cloud Architect role within DoiT's Forward Deployed Engineering team leads design and implementation of ML/GenAI workloads on AWS, advises customers on cost, reliability, security and performance, and turns field solutions into reusable patterns and product feedback. The position supports customers across the UK, Ireland, Estonia, Sweden, the Netherlands, Israel and contractors in parts of Europe, and requires hands-on AWS and ML/GenAI expertise (4+ years).

Cloudera seeks a Senior Staff Software Engineer (Spark) to design and deliver enterprise-grade features for Spark and Livy, focusing on distributed data processing, Iceberg/Parquet, fault tolerance, and large-scale cluster operation. Requires 6+ years professional software development, strong skills in at least one of Java/Scala/Python, experience with distributed systems, and the ability to lead complex product enhancements. Role is remote (listed for UK, Czech Republic, Ireland, Spain) and not eligible for immigration sponsorship or relocation.