Jobs at In All Media Inc

Execute manual end-to-end, functional, regression, API, backend, database, accessibility, and release validation testing for a web-based SaaS platform. Use Postman, SQL, Jira, Datadog, Kafka, and MongoDB to validate integrations, investigate defects, analyze logs, and verify data and system behavior. Collaborate with Product, Engineering, and Support in Agile/Scrum ceremonies while ensuring WCAG compliance and reliable deployments.

Migrate approximately 1,000 datasets to Snowflake, upgrade Airflow workflows, modernize Hive and streaming infrastructure to Iceberg and Kafka, adapt and optimize pipelines, manage DAGs, and test and debug distributed data systems. The role requires strong Python, SQL, Snowflake, Airflow, Spark, Kafka, Iceberg, Parquet, and AWS S3 expertise, plus independent execution and communication.

Senior Business Analyst responsible for eliciting and documenting enterprise requirements, modeling business processes, defining workflows and acceptance criteria, and supporting Salesforce Service Cloud delivery. The role partners with product, architecture, development, and QA teams across Agile initiatives, leads UAT planning and defect triage, analyzes integrations and data flows, and supports governance, change management, stakeholder communication, and risk tracking across APAC operations.

Design and optimize application database ecosystems across SQL Server and MongoDB. Responsibilities include schema and data modeling, API-to-database integration, performance tuning, troubleshooting data quality and consistency issues, reviewing and deploying database changes, and implementing testing and quality standards. The role collaborates with engineering and product teams and may support Azure data pipelines using Python and related technologies.

Maintain and improve a high-traffic live event platform for a global talent marketplace. Responsibilities include production incident triage, monitoring, SLA-driven support, full-stack feature development, event-driven services, data pipeline troubleshooting, CI/CD deployments, architecture maintenance, and mentoring. The role uses Java, Spring Boot, Python, Django, React, Kafka, GraphQL, databases, AWS WorkSpaces, and analytics tools while collaborating with Product and GTM teams.

Design, build, and scale full-stack web applications using React, JavaScript, TypeScript, and Node.js. Architect RESTful APIs, manage application state and component lifecycles, implement automated testing, integrate event-driven analytics and telemetry, and oversee build and deployment practices. Collaborate across teams to resolve ambiguous requirements and technical dependencies. Preferred experience includes production incident response, CRM integrations, AI/LLM workflows, and micro-frontend architectures.

Source, screen, and hire top technical talent while building strong relationships with candidates and stakeholders. The role requires advanced English, proactive recruiting expertise, and the ability to support team growth in a LATAM-based setting.

Administer and secure GitLab environments by migrating service accounts, rotating API tokens and SSH keys, replicating RBAC permissions, debugging CI/CD integrations, and coordinating migration activities with engineering and DevOps teams. The role executes high-volume identity migration tickets, maintains audit trails, and ensures pipeline reliability throughout security and licensing optimization initiatives.

Build and maintain secure HR data pipelines, warehouses, and data marts using dbt, Python, Snowflake, BigQuery, Airflow, and AWS. Design semantic layers and ontology models for BI and AI agents, deploy Snowflake Cortex and MCP workflows, monitor pipeline reliability, enforce data quality and PII security, and document technical processes. Collaborate remotely with distributed teams aligned to EST.

Lead development and production support for a high-traffic hiring events platform. Responsibilities include building and deploying Java/Spring Boot, Django/Python, React, and GraphQL services; resolving live incidents; monitoring Kafka-based event processing; managing releases; mentoring engineers; and partnering with Support and GTM teams to meet SLAs and maintain platform stability.

Design and maintain relational and document-based data architectures, including MS SQL Server and MongoDB schemas, complex queries, stored procedures, indexing, and performance tuning. Build secure data pipelines and APIs, deploy schemas through automated CI/CD pipelines, resolve data quality issues, and support production software. Develop testing strategies and automation while collaborating in English across LATAM and Central Time teams.

Design end-to-end identity and authentication experiences across web and mobile platforms. Responsibilities include auditing account flows, creating wireframes and prototypes, handling complex states and edge cases, producing engineering handoff specifications, applying enterprise design systems in Figma, validating usability, supporting accessibility, and conducting design QA in partnership with product and engineering teams.

Build and integrate LLM-powered software into enterprise systems. Design autonomous AI agents, tool-calling systems, and multi-step orchestration workflows using MCP or equivalent interfaces. Develop scalable backend architectures with REST/gRPC APIs, optimize context management, implement reliability patterns, and support systems from rapid prototyping through production. Collaborate in English with distributed teams during Central Time hours.

Build and maintain Node.js microservices, REST/GraphQL APIs, headless CMS infrastructure, and React/Next.js frontend components. Design content schemas, SSR/SSG workflows, personalization and A/B testing systems, third-party integrations, caching, and performance improvements. Develop automated tests and support CI/CD quality standards. Use AI coding assistants for implementation, debugging, refactoring, and test automation while collaborating remotely across North American time zones.

Develop AI agent and developer platform capabilities, including hosted Model Context Protocol servers and read-only integrations for enterprise data sources. Build applied LLM workflows, optimize prompts and context retrieval, use AI coding assistants, review code, and troubleshoot MCP and agent workflow issues. Collaborate remotely with North American teams while maintaining secure, modular, composable system architectures.

Develop scalable backend services with Python/Django and Java/Spring Boot, build responsive React and TypeScript interfaces, and integrate LLMs, generative AI assistants, and agentic frameworks into secure web applications. Implement REST API security, OAuth 2.0, token management, sensitive data protection, and AI guardrails. Collaborate in Agile teams, maintain documentation and JIRA workflows, and support potential Workday, iCIMS, and MCP integrations.

Design and ship accessible, responsive career sites, job boards, campaign pages, and chatbot experiences. Build scalable Figma components and design systems within CMS constraints, supporting multi-brand theming, SEO-aware layouts, and mobile-first parity. Collaborate with Product Management to sequence backlog work, leverage AI-assisted design tools, and ensure WCAG and ADA compliance. Work independently with remote teams aligned to Central and Eastern Time zones.

Manage Salesforce release and deployment lifecycles across multiple environments. Maintain Copado or comparable DevOps platforms, metadata structures, packages, version control, branching models, and CI/CD pipelines. Coordinate with administrators, developers, and QA teams to troubleshoot deployment issues, resolve merge conflicts, and ensure release readiness. The role also supports automated testing, release compliance, and reliable delivery across enterprise Salesforce environments.

Develop and support enterprise Salesforce platforms through custom CRM development or Salesforce Data Cloud implementation. Responsibilities include building Apex, Lightning Web Components, Flows, integrations, automation, AI-enabled capabilities, data models, identity resolution, harmonization, SQL transformations, and scalable activation solutions. The role also involves security governance, performance optimization, troubleshooting, code reviews, release management, technical documentation, and collaboration with US-based teams during Central Time hours.

Owns financial data and BI product strategy across Quote-to-Cash and Order-to-Cash processes. The role identifies operational gaps, translates finance and revenue lifecycle needs into PRDs and roadmaps, validates pricing and contract data, and develops dashboards and AI/ML analytics opportunities. It partners with Sales, Legal, Accounting, Finance, Product, and data engineering teams to improve downstream reporting and decision-making.