Dynatrace Observability Engineer

Location: Mclean, VA – Local Candidates Only

Job Function: Information Technology

Industry: IT Services

Our firm has been retained to find a highly skilled Dynatrace Observability Engineer to design, implement, and optimize a world-class enterprise observability ecosystem. In this role, you will be the technical lead for our client's visibility strategy, leveraging Dynatrace’s APM, Infrastructure Monitoring, RUM, and Davis AI capabilities to ensure system reliability and proactive incident detection across hybrid and multi-cloud environments.

You will collaborate directly with SREs, DevOps, Cloud Engineering, and business stakeholders to build scalable solutions that empower faster troubleshooting and data-driven decision-making.

Key Responsibilities:

We are looking for a Technical Support Engineer who enjoys solving complex challenges and making a real impact on product quality.

You will work with technically challenging cases: analyzing logs, SQL queries, APIs, and services, restoring stability, and improving the user experience.

In this role, you’ll become a key link between clients, the support team, and development: helping first-line support filter requests, identifying root causes of issues, and providing feedback to the product team. Every solution you find will increase the product’s value and contribute to the company’s growth.

Responsibilities

• Handle requests from first-line support and clients, reproduce and clarify issues.
• Analyze incidents, identify root causes, and provide clear context to developers and DevOps.
• Monitor task status and explain situations to clients in simple terms.
• Document solutions and share them with colleagues.
• Provide feedback to the product team based on incoming requests.

Requirements

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, a diversified shipping services group with offices in London and Athens. Our main product, The Signal Ocean Platform, allows ship charterers, brokers and owners to securely process, combine and analyse complex arrays of private and public shipping data. Powered by sophisticated machine learning / artificial intelligence technologies, the platform delivers customized, exclusive insights that help our clients achieve performance and efficiency.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Salesforce Integration Senior Consultant for one of our partner organizations in KSA, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

We are seeking a highly skilled Senior Salesforce Integration Consultant to design, develop, and manage integrations between Salesforce and external systems. The ideal candidate will have deep hands-on experience with Salesforce platforms, integration patterns, APIs, and middleware solutions, and will play a key role in delivering scalable, secure, and high-performing enterprise integrations.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking an experienced GenAI Architect to design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. This role requires deep architectural expertise in Azure, secure API-driven systems, and event-driven architectures, combined with the ability to translate business needs into scalable, production-ready GenAI systems.

The ideal candidate will bring strong hands-on and design experience across cloud architecture, security, and distributed systems, with the vision to architect GenAI solutions that are reliable, extensible, and enterprise-grade.

Requirements

Senior Backend Engineer (Intents & Order Infrastructure)

Location: Remote - Based in EMEA regions
compensation: $130K - $165K

We are simplifying multi-chain DeFi for traditional financial institutions, fintechs, and service providers. Our platform offers a unified API to access all on-chain liquidity across major blockchains, ensuring the best prices for same-chain and cross-chain swaps. We are a passionate, remote-first team on a mission to enable a fairer, more decentralized world by making complex blockchain technologies accessible to everyone.

We are looking for a Senior Backend Engineer to lead the development and scaling of our core off-chain coordination service. This is a critical infrastructure role, as the Order Server acts as the central hub for the entire Intent lifecycle—from quote aggregation and validation to real-time broadcasting and cross-chain status tracking.

In this role, you will build secure, high-throughput systems using TypeScript and NestJS that allow applications to discover competitive quotes while protecting the network from fraudulent orders. This position is vital for the success of our solver-based architecture and requires a deep focus on security, performance, and reliability.

Key Responsibilities:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies.

Requirements

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

What You’ll Do:

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

About the role: 

You will be leading one of the product teams within the Signal SaaS web application. The focus is on building supporting infrastructure and data visualization features — such as charts, graphs, tables, and maps — that help users interact with complex shipping data. Alongside feature development, the team invests in building reusable components that support both their own roadmap and other teams, with a strong focus on automated testing  inside CI/CD pipelines.