Jobs at Sonatype

Design, automate, and scale Sonatype’s Azure engineering platform and delivery systems. Lead infrastructure-as-code and CI/CD modernization, administer Azure DevOps services, improve observability, security, reliability, and developer productivity, and manage Kubernetes-based environments. Partner with engineering teams on cloud-native delivery workflows, establish reusable platform patterns, drive incident response and automated remediation, and mentor engineers on Azure architecture, DevOps, release governance, and DevSecOps practices.

Lead the architecture and delivery of agentic-first capabilities for Nexus Repository Manager. Design and scale multi-agent systems, orchestration, tooling, data models, evaluation harnesses, guardrails, and observability. Own a major product area through design, execution, rollout, and operations while ensuring performance, reliability, and software supply chain security. Set engineering practices, mentor senior engineers, shape technical roadmaps, and collaborate cross-functionally on enterprise software security solutions.

Design, build, and optimize scalable full-stack applications, microservices, APIs, and cloud solutions. Develop frontend applications and backend services, optimize databases, maintain CI/CD pipelines, and implement containerization and infrastructure as code. Ensure application security, availability, and performance through monitoring and testing. Collaborate with cross-functional teams, provide technical leadership, make architectural decisions, and mentor junior engineers.

Design, develop, test, and maintain backend services supporting provisioning, licensing, and purchasing. Improve cloud infrastructure, automation, reliability, observability, scalability, and service delivery. Collaborate on architecture and cross-functional delivery, troubleshoot production issues, participate in code reviews, and mentor engineers while remaining hands-on in software development.

Provides technical leadership for applied AI and data science initiatives from experimentation through production. Builds machine learning and generative AI solutions for anomaly detection, malicious behavior detection, fraud analysis, and security use cases. Designs LLM, retrieval, embedding, and agentic workflows; establishes evaluation and monitoring practices; partners with engineering and MLOps on reliable deployment; advises stakeholders; mentors technical contributors; and promotes secure, scalable, and responsible AI practices.

Build and maintain reliable data pipelines, ETL/ELT workflows, data models, and trusted datasets. Support Spark and AWS data platform tools, monitor pipeline quality and performance, contribute to documentation, testing, and CI/CD, and help shape lakehouse architecture. The role requires backend programming, Python, SQL, distributed systems, NoSQL, analytics modeling, communication, debugging, and independent learning. Preferred experience includes dbt, Databricks, real-time pipelines, infrastructure-as-code, data governance, ML pipelines, or compliance.

Build and own machine-readable UX systems, tooling, and guardrails to enable AI-assisted product development. Collaborate with Product Design and engineering to create patterns, accessibility rules, prompts/plugins, and feedback loops that produce production-ready, consistent, and accessible UX outputs.

Designs and maintains scalable data pipelines, ETL/ELT processes, data models, and storage solutions supporting analytics, machine learning, and business intelligence. Collaborates with cross-functional teams to deliver trusted datasets, owns data platform components, implements monitoring and observability, and advances data engineering standards, testing, documentation, CI/CD, and lakehouse architecture.

Analyze product usage, feature adoption, telemetry, and financial data to generate actionable insights. Own data modeling, dashboards, KPI development, and end-to-end analytics delivery while partnering with stakeholders on product initiatives. Mentor associate-level analysts and maintain strong execution metrics for analytics work. The role requires advanced SQL and Python, Databricks and PySpark expertise, visualization experience, and SaaS product analytics experience.

Own enterprise sales growth across the Nordics and Baltics, driving new-logo acquisition and expansion of existing accounts. Manage full SaaS sales cycles, outbound territory strategy, pipeline generation, CRM accuracy, forecasting, negotiations, and quota attainment. Build consultative relationships with engineering, security, and IT leaders while partnering with BDRs and marketing on campaigns and events. The role requires autonomous execution, disciplined commercial judgment, and the ability to sell software supply chain security solutions.

Manage end-to-end subscription renewals: monitor contract terms, engage customers ahead of expiration, prepare quotes and ordering documents, coordinate with Sales/Customer Success/Accounting, identify expansion opportunities, and ensure timely, accurate execution while maximizing customer success.

Develop and maintain scalable backend services supporting product provisioning, licensing, and purchasing. Design architectures, write tested Java-based code, troubleshoot production issues, improve reliability, and contribute to cloud-native infrastructure. Collaborate with product and engineering teams, participate in technical decisions and code reviews, mentor engineers, and provide hands-on technical leadership across distributed systems and microservices.

Design, build, and optimize scalable full-stack applications and microservices. Lead architecture, mentor engineers, implement front-end (React/Angular/Vue) and backend (Java/Node/Python/Go) services, integrate databases, cloud platforms, containerization, CI/CD, and ensure availability, security, and performance.

Own the core Nexus Repository product roadmap and feature execution, remove delivery bottlenecks, and measure adoption and market performance. Collaborate with engineering, design, marketing, support, sales engineering, and peer product managers to deliver scalable developer-focused solutions. The role requires technical fluency in software development, enterprise compliance, artifact repositories, and SDLC security controls, plus strong ownership, stakeholder management, and communication skills.

Design, develop, and scale full stack cloud-native products; build backend services and frontend experiences; lead architecture, mentor engineers, integrate security into CI/CD, improve reliability, and support incident response.

Own complex, cross-functional technical and data projects from planning through completion in a distributed SaaS environment. Develop project plans, manage risks and dependencies, coordinate Product, Engineering, and business stakeholders, track project health, remove blockers, drive decisions, and provide leadership updates. Use AI and automation to improve project execution efficiency.

Lead the Data Identity team's technical direction: own identity data model, architect streaming and batch pipelines, design stable data contracts, lead vendor SBOM ingestion, apply AI/ML where appropriate, improve reliability, cost, and incident response, and collaborate with downstream teams and external vendors.

Design, build, and maintain scalable data pipelines, optimize Databricks/Spark and Delta Lake architectures, deliver trusted datasets for analytics and ML, implement observability and data quality, and drive platform architecture and team mentorship.

Full-cycle inside sales role focused on high-velocity public sector deals ($5k–$25k ARR). Prospect, qualify, advance, and close net-new logos; manage many concurrent short sales cycles; respond to RFIs/RFPs; align channel partners; maintain Salesforce/Clari hygiene and accurate forecasts.

Lead UX engineering for Sonatype's developer platform: co-create user flows with PMs and engineers, map complex IA and permissions, produce Miro diagrams, and build coded prototypes (HTML/CSS/JS/React) using GitHub, VS Code, and AI tools. Conduct lightweight research, coach teams on UX and accessibility, and ensure prototypes provide clear engineering specs for implementation.