Jobs at Accellor

Lead design and delivery of scalable Salesforce solutions focused on CPQ, Core Salesforce, and Experience Cloud. Provide technical leadership, define development standards, translate stakeholder requirements into architecture, oversee implementations, integrations, and customizations, identify risks and mitigations, and drive continuous improvement aligned with Salesforce best practices.

The Senior Software Engineer will design and implement cloud-native integration services, focusing on APIs, microservices, and event-driven architectures primarily on AWS. Responsibilities include writing production-grade software, developing resilient distributed systems, and collaborating with finance teams for enterprise integrations.

The Lead Salesforce Developer will create custom Salesforce solutions, oversee development timelines, troubleshoot issues, and guide teams on best practices.

Design and execute test plans for web, Salesforce, and enterprise applications; perform functional, regression, integration, and end-to-end testing; build and maintain Playwright automation frameworks; integrate tests into CI/CD; track defects; support performance/security testing; mentor junior QA engineers and promote quality best practices.

Design and build enterprise Copilot-powered conversational solutions using Microsoft Copilot Studio and Power Virtual Agents, integrating Power Platform and Azure services, implementing HITL and escalation flows, developing custom connectors and extensions, optimizing performance with telemetry, and supporting ALM, Git-based deployments and client workshops.

Designs and develops MuleSoft/Anypoint integration solutions using API-led design and messaging patterns. Architects reusable assets, leads full SDLC, advises on performance/scalability/security, integrates with cloud/SaaS and Salesforce, mentors implementation teams, and supports production integrations including off-hours support.

Design and optimize large-scale AI platform internals: inference runtimes, model serving, GPU and distributed performance, context engineering, cost optimization, release safety, observability, and production reliability. Provide technical leadership, mentor engineers, define architecture trade-offs, and ensure safe, cost-efficient, and scalable deployment of LLM and agentic systems.

Lead end-to-end Salesforce and go-to-market programs, manage cross-functional dependencies, drive integrations and Customer 360 adoption, enable reporting and AI-driven use cases, and oversee executive governance, budgets, and program health to improve revenue operations and data quality.

Design, build, and deploy AI-powered Salesforce Agentforce and Service Cloud solutions. Integrate Agentforce with CRM, Knowledge, Data Cloud and enterprise systems; implement Apex, LWC, Flows, Platform Events, APIs; ensure security, testing, deployment, and performance; collaborate with architects and stakeholders to translate business needs into scalable AI-driven solutions.

The Full Stack Developer will design, build, and innovate on the product while collaborating with engineers, data scientists, and product managers, applying agile methodologies and optimizing performance.

The Salesforce QA Engineer is responsible for manual and automated testing of Salesforce applications, ensuring quality through various testing strategies and collaboration with the team.

The Enterprise Sales Manager will drive new logo acquisition, manage the full-cycle sales process, and present AI solutions to C-level executives, collaborating with internal teams to build and close quality pipeline deals.

Lead Salesforce (CPQ) projects end-to-end: gather requirements, document functional specs, configure Salesforce, ensure data integrity, test solutions, train users, and build reports and dashboards to support sales operations.

Design, develop, and deliver full-stack applications using React, Python, Next.js, Node.js, Java/Spring or Kotlin. Implement micro-frontend SPA architectures, backend-for-frontend patterns, API Gateway and CI/CD pipelines, and Kubernetes deployments. Translate business requirements to technical designs, prioritize roadmap needs, and mentor junior engineers.

Design and build full-stack applications using React/Next.js, Python/Node.js/Java with micro-frontend SPA architecture. Integrate frontends with backends (GraphQL, tRPC, BFF), work with cloud, API gateway, CI/CD (Jenkins), and Kubernetes. Translate business needs into technical solutions, prioritize roadmap, and mentor junior developers.

Design, build, and operate automated data quality checks, profile deduplication, and reconciliation pipelines across loyalty platforms (mParticle, Braze, Snowflake, Azure SQL). Monitor data quality KPIs, validate integrations via REST APIs, remediate issues, and document audit trails and runbooks.

Design, develop, test, and maintain enterprise COBOL applications on IBM mainframe platforms. Build and enhance batch and online transaction processing systems, troubleshoot production issues, optimize performance, and support modernization and integration efforts. Collaborate with architects, stakeholders, and engineering teams, participate in code reviews, and produce technical documentation to support mission-critical financial services applications.

Lead end-to-end delivery of AI/ML, data engineering, and digital transformation projects. Coordinate cross-functional teams, gather requirements, oversee SDLC, manage estimations, RCA for critical incidents, and ensure scalability, security, governance, and on-time, on-budget deployment. Drive agile practices, stakeholder prioritization, and identify new business opportunities.

The SDET will build automation scripts, conduct various tests, document outcomes, collaborate with teams, and help ensure software quality.

The Associate Salesforce Developer will develop and implement customized Salesforce applications, troubleshoot issues, collaborate with project managers, and ensure data integrity and application security.