Jobs at Irth Solutions

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Develop and productionize machine learning, NLP, LLM, and GenAI solutions. Responsibilities include data exploration and pipeline development in Databricks, model experimentation and evaluation, production-quality Python development, REST API creation, and collaboration with data engineering and application teams. The role focuses on transforming AI prototypes into scalable, maintainable solutions using techniques such as RAG, semantic search, text classification, entity extraction, and summarization.

Own end-to-end quality across UI, APIs, data pipelines, analytics, and AI/model layers. Build automated regression suites, validate data transformations and risk-model outputs, integrate tests into CI/CD, manage test environments, support performance and security testing, coordinate release sign-off, and maintain audit-defensible evidence. The role also involves exploratory testing, defect management, test planning, and collaboration with Product and Engineering to establish testable requirements and improve quality practices.

Develops qualified sales pipeline through research, cold calling, email campaigns, inbound lead qualification, and conference outreach. The representative promotes SaaS solutions, meets pipeline and quota goals, maintains Salesforce and HubSpot data, collaborates with Marketing and Account Executives, and provides market intelligence. The role is remote, requires occasional travel of approximately 10%, and supports prospecting across North America, Europe, and Latin America.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Develop and maintain large-scale .NET and SQL Server applications. Build data stores, queries, stored procedures, views, triggers, and database schemas. Troubleshoot performance, capacity, and data security issues, while advising business and development teams on database changes. The role also involves analyzing complex systems, recommending solutions, providing technical guidance, and potentially contributing to C# and .NET development.

Supports operational reporting, dashboard development, process improvement, workflow automation, and PSA platform implementation. Builds and maintains Power Automate workflows, validates data and automated solutions, documents processes, and assists with Monday.com administration. The role also prepares operational reports, supports KPI analysis, provides process training, and helps standardize reporting and business workflows while developing increasing independence.

Leads end-to-end software implementations, including requirements gathering, process analysis, system configuration, customization, training, testing, documentation, and deployment. The consultant manages client relationships, coordinates UAT and sign-off, translates business needs into technical requirements, collaborates with product and development teams, and proactively addresses implementation risks. Success requires delivering projects on time and within budget while ensuring client adoption and satisfaction.

Lead full-cycle, net-new enterprise sales across utilities, energy, telecom, and critical infrastructure. Build C-suite relationships, develop strategic account plans, close complex multi-year SaaS agreements, and create cross-sell and upsell opportunities. Partner with internal teams on proposals, pricing, and contracts; maintain Salesforce pipeline and forecasts; and represent customer needs internally. The role is remote across North America, with a hybrid option in Columbus, Ohio, and requires travel as needed.

Lead the full sales cycle for net-new enterprise SaaS opportunities across utilities, telecom, energy, and critical infrastructure. Build executive relationships, develop account-based strategies, close complex multi-year agreements, and create cross-sell and upsell opportunities. Partner with internal teams on proposals, pricing, contracts, and customer experience while maintaining accurate Salesforce pipeline and forecasting data. Travel to prospect meetings, customer engagements, conferences, and industry events as needed.

Supports HR operations and office administration, including recruitment screening, interview scheduling, onboarding, offboarding, employee engagement, training coordination, records maintenance, vendor management, office supplies, events, and employee inquiries. The role also handles calendars, travel bookings, invoices, petty cash, facilities coordination, and occasional finance support while maintaining confidentiality and collaborating with global teams.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Build and operate governed MLOps and LLMOps platforms on Databricks. Productionize ML and GenAI models, RAG pipelines, vector search, and inference services; implement CI/CD, data quality, security, lineage, observability, incident response, disaster recovery, and cost controls. Partner with data science, engineering, platform, product, and security teams to ensure reliable, secure, compliant, and cost-effective AI workloads across development, QA, and production environments.

Own and operate AWS, Azure, and Databricks infrastructure supporting data engineering, data science, and MLOps teams. Responsibilities include cloud provisioning, networking, IAM, Unity Catalog administration, security controls, infrastructure as code, platform onboarding, automation, cost management, compliance evidence, troubleshooting, and operational documentation. The role establishes secure DEV, QA, and PROD environments and serves as the primary escalation point for Databricks and cloud platform issues.

Build and maintain batch and streaming data pipelines across AWS, Azure, and GCP using Databricks, Spark, PySpark, SQL, and Delta Lake. Implement medallion architecture, CDC, SCD, data quality, governance, security, metadata, and lineage controls. Configure storage, orchestration, CI/CD, monitoring, troubleshooting, and performance optimization. Collaborate with architects, data scientists, engineers, analysts, and product teams while documenting pipelines, transformations, testing, and operational procedures.

Build governed Databricks Lakehouse foundations and productionize machine learning and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, and predictive analytics. Develop reliable batch and streaming workflows, CI/CD, monitoring, governance, security, lineage, and semantic models. Collaborate with product, data, platform, and domain teams to deliver measurable customer value while meeting reliability, compliance, cost, and operational objectives.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Leads end-to-end delivery of an integrated asset-integrity and risk platform across Product, Engineering, Data, QA, Infrastructure, Commercial, and Customer Experience teams. Owns schedules, budgets, risks, dependencies, governance, decision logs, executive reporting, phase gates, customer commitments, and launch readiness. The role ensures predictable, auditable delivery without owning product strategy, technical architecture, or the business case.

Develop and improve a SaaS platform by designing, developing, and deploying scalable full-stack features. Responsibilities include contributing to architecture and technical decisions, ensuring application quality and security, participating in Agile planning and estimation, conducting code reviews, improving CI/CD practices, and using AI tools to enhance development productivity. The role requires collaboration, technical problem-solving, and continuous learning in a fully remote environment.

Develop and deploy features for a SaaS platform using full-stack development practices. Responsibilities include architectural contributions, application quality and security, Agile sprint participation, code reviews, CI/CD improvement, collaboration, and use of AI tools to enhance development productivity. The role requires Node.js and React expertise, software development experience, Git proficiency, and bilingual French-English communication.