Jobs at Simform

Own end-to-end data pipelines and data models for a multi-tenant SaaS platform, covering ingestion, medallion-layer modeling, semantic metrics, data contracts, testing, CI/CD, observability, reliability, and cost optimization. The role requires ensuring data correctness across large-scale sources, supporting AI-driven insights, contributing to identity resolution and enrichment, and mentoring engineers through reviews, pairing, and technical documentation.

Build and deploy production-grade Generative AI, agentic AI, LLM, and RAG solutions. Responsibilities include developing AI agents, evaluation frameworks, ML pipelines, APIs, and cloud deployments; applying traditional machine learning; ensuring reliability, security, monitoring, and scalability; and mentoring junior engineers. The role requires strong Python, LLM orchestration, vector database, testing, and cloud expertise, with preferred experience in MCP, GraphRAG, fine-tuning, multimodal AI, and MLOps.

Design, build, evaluate, and deploy production-grade Generative AI, agentic AI, LLM, and RAG solutions. Develop AI applications with Python, cloud services, orchestration frameworks, evaluation pipelines, APIs, and monitoring. Apply traditional machine learning techniques, build training and preprocessing pipelines, optimize production systems, collaborate on architecture, and mentor junior engineers.

Senior Business Analyst responsible for gathering, documenting, and validating client requirements for web and mobile projects. Leads discovery, feasibility analysis, Agile ceremonies, estimation, process modeling, wireframing, prototyping, and technical collaboration. Creates BRDs, SRS/FRS documents, user stories, diagrams, presentations, and solution proposals while supporting sales and project execution. Requires strong SDLC knowledge, API and microservices familiarity, Agile experience, and excellent stakeholder communication.

Designs, develops, and maintains enterprise Informatica MDM solutions, including MDM Hub, Data Director, Match & Merge, data stewardship, ETL, and data quality workflows. Integrates MDM with enterprise applications through APIs and develops SQL database objects for Oracle and SQL Server. Responsibilities include performance optimization, troubleshooting, documentation, testing, code reviews, production support, and collaboration with architects, developers, business stakeholders, and data stewards.

Leads end-to-end Microsoft Dynamics 365 implementations from discovery through go-live and hypercare. Responsibilities include solutioning, architecture coordination, data migration, integrations, scope and change management, budgeting, risk governance, Agile delivery, testing, ALM, and release readiness. The role manages cross-functional teams, leads customer workshops and steering meetings, reports status, handles escalations, and ensures delivery quality and business alignment. It also requires technical depth in D365 and practical application of AI and automation across the software development lifecycle.

Lead Salesforce implementation and enhancement programs from requirements and solution design through deployment and support. Manage planning, scope, backlog, budgets, risks, quality, releases, and cross-functional Agile teams. Partner with architects and developers on Salesforce architecture, integrations, data migration, automation, and deployment strategy. Serve as the primary client contact by leading discovery workshops, demos, steering updates, stakeholder alignment, and escalations.

Owns SQL Server database changes from development through production release. Designs schemas using SSDT and DACPAC, manages CI/CD deployments, validates migrations and schema changes, performs performance tuning, prepares rollback plans, maintains deployment runbooks, and monitors releases. Collaborates with development, DevOps, and client teams while providing production release sign-off and documenting deployment procedures.

Execute webinars, events, podcasts, and integrated marketing campaigns. Responsibilities include promotion, registration growth, lead nurturing, sales handoff, podcast content repurposing, speaker coordination, event logistics, vendor management, campaign reporting, and performance optimization across digital and partner channels.

Develop and maintain automated tests for functional, performance, security, API, and database validation. Build automation frameworks, improve coverage and reliability, troubleshoot failures, and integrate testing into CI/CD pipelines. Collaborate with development and QA teams in an Agile Scrum environment while managing test cases and defects.

Designs, develops, monitors, and maintains large-scale batch and real-time data pipelines using Microsoft Fabric and Azure services. Responsibilities include ETL/ELT development, data modeling, database optimization, ingestion of terabytes of data, governance, lineage, security, and integration with analytics and production systems. The role also involves stakeholder collaboration, client interactions, mentoring peers, and providing technical guidance across structured, unstructured, and streaming data environments.

Maintain Windows, Linux, and macOS systems; perform patching, backups, monitoring, endpoint security, and hardening. Provide Level 1-2 helpdesk support, administer Active Directory, Microsoft 365, and Azure, and support networking services. Create technical documentation, manage IT assets and licenses, assist with deployments and incident response, and participate in on-call and after-hours support.

Lead end-to-end Microsoft Purview and data governance implementations for clients across Azure, Fabric, Microsoft 365, and multi-cloud environments. Configure catalogs, lineage, classifications, sensitivity labels, DLP, data quality, and access controls. Define governance operating models, map controls to regulations, automate metadata processes with Python or PowerShell, support presales, conduct stakeholder workshops, and train client data stewards and engineers.

Leads end-to-end delivery of complex technical projects, from estimation and planning through release and continuous improvement. Provides technical guidance on architecture, cloud, web, mobile, integrations, security, and performance. Manages Agile/Scrum ceremonies, requirements, risks, scope, quality, releases, stakeholders, and commercial escalations. Mentors cross-functional teams and applies AI and automation across the software development lifecycle.

Outbound-focused Business Development Executive responsible for lead research, cold calling, email and LinkedIn outreach, managing CRM and prospect lists, setting qualified meetings, tracking outreach performance, and optimizing messaging for the US/Canada market while working US hours.

Own the vision, strategy, roadmap, metrics, discovery, prioritization, and stakeholder communication for client software products. Translate business goals into detailed product specifications, partner with solution architects on technical trade-offs, manage scope and budget impacts, and communicate releases and roadmap changes. The role requires strong product analytics, technical fluency, executive stakeholder management, written communication, and experience delivering SaaS or technical products with distributed Agile teams.

Deliver end-to-end Dynamics 365 CE CRM solutions: gather requirements, configure and customize CRM, build plugins/workflows and JavaScript, design Power Platform solutions, manage integrations with Azure and APIs, troubleshoot production issues, and enforce governance and security best practices.

Manage and strengthen the organization’s Microsoft 365 security environment. Responsibilities include securing Entra ID, Defender, Purview, Intune, Exchange Online, SharePoint, OneDrive, and Teams; implementing identity, Zero Trust, DLP, endpoint, and information protection controls; investigating threats and incidents; conducting risk assessments; driving remediation; and maintaining security policies, governance standards, and incident response procedures.

Lead a delivery pod building production data platforms on Microsoft Fabric and Azure. Design lakehouse architectures, ingestion and orchestration strategies, governance, security, semantic models, CI/CD, and performance standards. Lead data engineers and BI developers, review code, estimate work, conduct client workshops, support presales, mentor engineers, and ensure quality through production handover. The role requires advanced SQL, Python/PySpark, dimensional modeling, Power BI, Azure data services, and at least two years of Microsoft Fabric experience.

Lead the architecture, development, and deployment of scalable Salesforce and Agentforce solutions, including AI-powered agents, workflows, integrations, and reusable components. Translate stakeholder requirements into enterprise-grade technical solutions, establish development standards, mentor Salesforce developers, lead implementation projects, and advance the organization’s Salesforce and Agentforce capabilities. The role requires expertise in Apex, Lightning Web Components, Salesforce Flows, APIs, platform architecture, governance, and Agentforce deployment.