Remote Dev Jobs
6 jobs available
DatadogRemote6d ago
Headquarters: California, USA, Remote; Colorado, USA, Remote; Illinois, USA, Remote; New York, USA, Remote; Washington, USA, Remote Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape . What You’ll Do: Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do Contribute to the product through feedback (bugs or product enhancements suggestions) Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners Who You Are: You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams. You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many , and you are comfortable connecting them into a coherent operational story. Data engineering & processing systems: You have built, operated, or supported production data pipel
Octans Group LLC · 🇺🇸 United StatesRemote3w ago
Remote & W2 Position Position: Big Data Engineer Location: REMOTE(Preferred: Bay Area) Job Description: Looking for an experienced Big Data Engineer with 5 years of software development experience and strong expertise in Java, Scala, Python, Hadoop, Spark, Hive, HBase, REST APIs, SQL, and Cloud (Azure/Google Cloud Platform) . Experience with Unix, Teradata, and building scalable big data solutions is required. Strong analytical, problem-solving, and communication skills are essential. Required …
Big Red Recruitment · 🇬🇧 Birmingham, United KingdomRemote3w ago
Want to join a software business going through major platform modernisation, product growth, and technical transformation? This fully remote opportunity will see you joining a collaborative engineering team working on a specialist SaaS platform used across the food and beverage industry. You’ll be involved in modernising a large-scale product suite, migrating legacy .Net applications towards .Net Core, building new functionality, improving scala...
Rimini StreetRemote1mo ago
Headquarters: Remote Singapore URL: http://riministreet.com About Rimini Street, Inc. Rimini Street, Inc. (Nasdaq: RMNI), a Russell 2000® Company, is a proven, trusted global provider of end-to-end, mission-critical enterprise software support, managed services and innovative Agentic AI ERP solutions, and is the leading third-party support provider for Oracle, SAP and VMware software. Our comprehensive portfolio of unified solutions help run, manage, support, customize, configure, connect, protect, monitor, and optimize enterprise application, database and technology software, enabling our clients to achieve better business outcomes, significantly reduce costs and reallocate resources towards strategic projects. The Company has signed thousands of contracts with Fortune Global 100, Fortune 500, midmarket, public sector and government organizations who selected Rimini Street as their trusted, proven mission-critical enterprise software solutions provider and achieved better operational outcomes, realized billions of US dollars in savings and funded AI and other innovation investments. Position Summary Reporting to the VP, Innovation, Solution Delivery, the Forward Deployed Engineer (Agentic AI) embeds with enterprise clients to design, build and operationalize agentic AI solutions in production. You will build production outcomes for clients, integrate agentic systems with enterprise platforms and systems of record, and stay accountable through cutover, early production and handover to ongoing support. The role is platform-agnostic by design and adapts to whichever AI platform best fits the client, including hyperscale AI services, ServiceNow and other enterprise AI platforms. Essential Duties and Responsibilities Lead technical discovery, scope agentic AI use cases, and translate business problems into engineering deliverables with measurable success criteria such as cycle-time reduction, support deflection, automation rate, security and governance success rate and
Primus Software Corp · 🇺🇸 United StatesRemote2mo ago
Job Title: Big Data Platform Development Engineer Duration: 6 - 7 months Contract Possibility of extension Locations: Remote - Texas *Only W2 Candidates* Discription: You will evolve the data cloud platform and building pipelines that are scalable, robust and resilient, to validate, ingest, normalize/enrich and support business rule processing of data. You will provide leadership in big data and cloud technologies. 5 years of experience with Big Data pipelines with Spark in Java, Scala, Python …
evoila Frankfurt GmbH · 🇩🇪 Frankfurt, GermanyRemote57y ago
Für ein Kundenprojekt suchen wir einen freiberuflichen Apache Kafka Engineer / Streaming-Spezialist (m/w/d). Die Tätigkeit erfolgt überwiegend remote, mit gelegentlichen Einsätzen vor Ort beim Kunden. Aufgaben Design, Aufbau und Betrieb von Kafka-Clustern (Self-Managed und/oder Confluent Cloud / MSK) Konzeption und Implementierung von Event-Streaming- und Event-Driven-Architekturen Entwicklung und Optimierung von Producern, Consumern und Stream-Processing-Pipelines (Kafka Streams / ksqlDB / Flink) Anbindung von Quell- und Zielsystemen über Kafka Connect (Source-/Sink-Connectoren) Sicherstellung von Performance, Skalierbarkeit, Hochverfügbarkeit und Fehlertoleranz Monitoring, Alerting und Troubleshooting (z. B. Prometheus, Grafana, Confluent Control Center) Etablierung von Best Practices für Topic-Design, Partitionierung, Schema-Management und Data Governance Wissenstransfer und Enablement des internen Teams Qualifikation Mehrjährige, nachweisbare Erfahrung mit Apache Kafka in Produktivumgebungen Tiefes Verständnis der Kafka-Internals (Broker, Partitions, Replikation, Consumer Groups, Offsets, ISR) Praxis mit Kafka Connect und dem Confluent-Ökosystem Erfahrung mit Stream Processing (Kafka Streams, ksqlDB oder Apache Flink) Schema-Management mit Schema Registry (Avro / Protobuf / JSON Schema) Fundierte Programmierkenntnisse (Java, Scala und/oder Python) Erfahrung mit Cloud-Plattformen (AWS MSK, Confluent Cloud, Azure Event Hubs o. ä.) Darüber hinaus verfügst du idealerweise über: Confluent-Zertifizierung (CCDAK / CCAAK) Erfahrung mit Kubernetes und Containerisierung (z. B. Strimzi Operator) Kenntnisse in Infrastructure as Code (Terraform, Ansible) Security-Erfahrung (mTLS, SASL, ACLs, RBAC) Erfahrung in Projekten innerhalb der Transport- und Logistikbranche Rahmenbedingungen Verfügbarkeit: innerhalb von ca. 2–6 Wochen Vertragslaufzeit: mindestens 3 Monate (Option auf Verlängerung) / Vollzeit Einsatzort: Remote / (ggf. vereinzelte Reisetätigkeit ins Allgäu) Sprache: De