Role Description We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution includes: - DSL - Pulling events - Processing webhooks - Executing jobs There are various aspects to this role, including: - Performance - Scaling - Storage - Durability - Atomicity - Concurrency guarantees - Data protection - Encryption In this role, you will also be responsible for: - Building/extending/troubleshooting/fixing complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices. - Improving the execution engine of custom third-party code (Ruby DSL, isolation, performance, new features). - Writing well-designed, testable, efficient code in Ruby and GOlang. - Integrating data storage solutions (Postgres/S3/DynamoDB/Kafka/ClickHouse, etc.). - Contributing in all phases of the development lifecycle. - Providing code reviews to your teammates. - Providing technical leadership and working with other teams on shared projects. - Evaluating and proposing improvements to existing systems. - Identifying bottlenecks and bugs, and devising solutions to these problems. - Helping maintain code quality, organization, and automation. - Exploring new technologies, including Rust and Wasm. Qualifications - Strong experience in building scalable distributed backend applications (7+ years). - Excellent understanding of distributed systems patterns and algorithms. - Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. - Excellent understanding of network protocols and stacks. - Excellent understanding of DB technologies: classic databases and modern no-SQL. - Knowledge of all common basic data structures and algorithms and how they are used is a must. - Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required. - At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD). - Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud). - Excellent debugging, analytical, problem solving, and social skills. - BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Requirements - Optional background in GOlang, Rust, WASM. - Optional background in network programming. - Optional background in Kotlin/Multiplatform. - Optional background in application, data security. - Deep knowledge of physical DB design. - Experience of working with Docker and other isolation technologies. - Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.). - Experience in building/deploying data processing pipelines is a plus. - Experience of working with third-party REST APIs at scale (request throttling, batch processing, etc.). Soft Skills / Personal Characteristics - Ability to technically lead projects and work with requirements, cost analysis. - Readiness to work remotely with teams distributed across the world and timezones.

• Develop a process for creating written content from audio and transcript files using OpenAI and GPT-3 • Edit audio and video files using OpenAI tools • Collaborate with the team to implement AI-driven solutions for productivity improvement

• Entwicklung von Schnittstellen und Treibern zur Anbindung anderer Systeme und medizinischer Laborgeräte an unser Laborinformationssystem (LIS) • Umsetzung und Verarbeitung von Kommunikationsprotokollen (z. B. HL7, ASTM, proprietäre Geräteprotokolle) • Analyse von Gerätespezifikationen und Implementierung der entsprechenden Kommunikationslogik • Integration von Analysegeräten und Systemkomponenten in bestehende Laborumgebungen • Durchführung von Tests, Fehleranalysen und Optimierungen im laufenden Betrieb • Sicherstellung der Softwarequalität unter Berücksichtigung regulatorischer Anforderungen • Erstellung und Pflege technischer Dokumentationen

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! The Role: We’re looking for a Staff Engineer to join the Core Developer Experience (Core DX) team and help make AlphaSense an exceptional environment for building software. In this role, you’ll focus on enabling engineers to work at high velocity, with confidence and flow, by reducing friction and improving the speed and quality of feedback in local development. You’ll design and evolve the tools, environments, and workflows that support fast, reliable iteration for ~400 engineers globally. Core DX owns the inner loop of development, the day-to-day experience of writing, building, and testing code, along with the internal developer platform, self-service tooling, and developer productivity insights that support it. This is distinct from Cloud Platform DX (outer loop), which owns CI/CD and production infrastructure. You’ll work closely with Cloud DX to ensure a seamless SDLC experience from local development to production, while staying focused on the developer-facing side of that journey. A key part of this role is embedding AI into the SDLC in a way that meaningfully augments engineers’ day-to-day workflows, from code authoring to debugging and testing, while ensuring consistent quality and safe adoption at scale. Responsibilities: - Improve the inner development loop (local dev, build, test) for fast, reliable feedback - Integrate and advance AI across the SDLC (coding, testing, documentation, workflows) - Improve developer experience around CI/CD collaboration with CloudDX - Identify and eliminate friction across the developer journey - Build and evolve self-service tooling and internal platforms (DX/IDP) - Establish and improve developer productivity metrics and engineering insights (e.g., DORA, DX) - Enable engineering scalability through better tooling, shared libraries, standards, and automation - Partner across teams to improve developer experience without blocking autonomy Requirements: - Strong experience in Developer Experience, Platform Engineering, or Internal Tooling - Proven experience building, rolling out, and operating internal developer platforms (IDP) - Track record of improving developer workflows and productivity at scale - Hands-on experience with CI/CD, improving reliability, speed, and predictability - Experience defining and using developer productivity metrics (e.g., DORA, DX insights) - Ability to identify systemic friction and solve it with pragmatic, scalable solutions - Experience building self-service platforms, tooling, and paved paths - Hands-on experience with, or strong drive to adopt, AI-enabled workflows across the SDLC - Passion for using AI to improve engineering velocity, quality, and developer experience - Strong collaboration skills and ability to influence across teams Nice to have: - Experience with progressive delivery - Familiarity with cloud-native architectures and Kubernetes-based platforms - Experience with test platforms / QA automation and improving feedback loops - Familiarity with modern frontend architectures and microfrontend delivery models - EST or UK timezone for closer overlap with direct team members Please send your application and CV to jobs (at) alpha-sense.com AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: - AlphaSense never asks candidates to pay for job applications, equipment, or training. - All official communications will come from an @alpha-sense.com email address. - If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.