Jobs at Accuris

The Data Transformation Analyst is responsible for capturing and maintaining data related to engineering standards and regulatory compliance, ensuring high quality and timeliness.

The Senior Software Engineer will design and develop cloud-native applications, optimize performance, and ensure code quality while collaborating with cross-functional teams. Responsibilities include software development, architecture contributions, Agile participation, and mentoring team members.

As a Middle Software Engineer, you will develop software solutions using .NET technologies, collaborate with teams, and ensure code quality and performance.

As a Senior Software Engineer, design and develop cloud-native applications, focusing on usability, performance, and scalability, while mentoring mid-level engineers and ensuring best practices in code quality and CI/CD.

As a Senior Software Engineer, you'll design and develop scalable cloud-native applications in AWS, collaborate with teams, and ensure code quality through reviews and testing.

Design and own ETL/ELT pipelines and Medallion architecture, build Spark/Databricks transformations, and implement data quality, monitoring, and orchestration. Develop production RAG systems, embedding and vector-search pipelines, and optimize retrieval and prompts. Build backend APIs/microservices (FastAPI), integrate with frontends, and contribute to system design for scalable, observable AI/data products.

The Partner Marketing Manager will lead marketing strategies for SDO and reseller partners, executing campaigns, enabling partners, and managing relationships to drive pipeline and revenue growth.

Lead IT Service Management and End-User Computing operations, manage ITSM/Service Desk team and managed services partners, own Microsoft 365, Entra ID, Intune, Jamf, ServiceNow, Jira, and Amazon Connect platforms, drive automation and AI-assisted service delivery, oversee vendor/licensing/telephony, and improve operational efficiency and employee technology experience.

The Senior Dev Enablement Engineer will enhance developer productivity through cloud solutions, CI/CD pipelines, and infrastructure management, ensuring operational excellence across software delivery.

Manage a portfolio of Supply Chain Intelligence SaaS accounts focusing on renewals, expansion, upsell, and cross-sell. Drive proactive renewal strategies, commercial negotiations, discovery, demos, and ROI-based sales. Coordinate with Customer Success, hunters, and product teams, and maintain forecasting and pipeline hygiene in Salesforce to grow revenue and reduce churn.

Manage all inbound lead flow, rapidly follow up demo/pricing requests, qualify leads against firmographic and behavioral criteria, schedule meetings for AEs, nurture Tier 2/3 leads with persona-driven sequences, maintain CRM hygiene, analyze and optimize outreach performance, and document best practices to improve conversion and handoffs.

Design, develop, and maintain cloud-native entitlement management services (full stack) on AWS. Own components end-to-end, improve architecture, ensure scalability, performance, security, CI/CD, containerized deployments, monitoring, troubleshooting, and mentor mid-level engineers while collaborating across product and IT teams.

The role involves managing customer relationships, driving account retention, resolving issues, onboarding new customers, and sharing feedback internally.

Manage the end-to-end deal lifecycle for complex SaaS opportunities: create quotes, ensure pricing and policy accuracy in Salesforce, coordinate approvals with Finance/Legal/Pricing/Order Management, analyze deal trends, and support sales enablement and documentation to increase deal velocity.

Partner with Strategic Account Executives to provide technical leadership across enterprise sales (> $1M): lead discovery workshops, demos, POCs/POVs, support RFPs/RFIs, engage engineering and executive stakeholders, and coordinate cross-functional teams to align Accuris solutions with customer requirements.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

Build and maintain cloud-native full‑stack platform services in AWS. Develop UI components (Angular/React), backend services (.NET Core/Web API), implement automated tests, deploy with Docker/Kubernetes, participate in design, code reviews, Agile ceremonies, and production support for high‑load systems.

Design, build, and operate production-grade GenAI solutions and data pipelines. Implement RAG, vector search, embeddings, prompt engineering, and agent orchestration. Ensure observability, testing, and production readiness while collaborating with product and engineering teams to deliver customer-facing AI features.