Jobs at aKube Inc

Leads complex identity and customer profile technical programs, coordinating Product, Engineering, Design, Architecture, Security, Commerce, and platform teams. Develops integrated plans, dependency maps, milestones, risk registers, and executive updates. Oversees architecture reviews, migrations, integrations, launches, and post-launch stabilization while improving governance, prioritization, capacity management, and delivery predictability across large engineering organizations.

Leads complex, cross-functional technology programs from intake through value realization. Responsibilities include roadmap development, Agile planning, dependency and risk management, resource coordination, executive reporting, dashboards, OKR tracking, and vendor communication. The role manages marketing platform and studio rights applications while using AI tools to improve reporting, decision-making, and workflow execution. Requires onsite work Monday through Thursday in Glendale, California, with remote work on Fridays.

Guides Scrum teams in Agile practices, facilitates Scrum ceremonies, manages backlog refinement, removes impediments, and supports Product Owners. Coordinates stakeholders, project leadership, and finance meetings while tracking project costs against budgets, forecasts, and contracts. Helps improve team performance and Agile maturity through coaching and process improvement.

Supports monthly, quarterly, and annual financial close, consolidation, and reporting activities. Prepares consolidated statements, schedules, disclosures, and management reporting packages; coordinates with finance teams, audits, and reporting inquiries. Maintains chart of accounts and reporting hierarchies, supports IFRS 18 implementation, analyzes and reconciles S/4HANA data, coordinates SAP and BW system changes, and assists with ad hoc consolidation projects.

Manager, Technical Accounting advises business units on complex accounting matters, researches and documents U.S. GAAP and IFRS conclusions, reviews transactions, prepares accounting memos and policies, supports audits and financial reporting, and collaborates with cross-functional teams. The role also supports accounting process improvements, training, due diligence, financial modeling, contract reviews, and transaction-related projects while managing multiple workstreams.

Leads SAP HCM benefits vendor integration analysis and testing. Responsibilities include requirements gathering, HR data mapping, test planning and execution, defect management, integration troubleshooting, technical documentation, and coordination among business teams, developers, integration teams, and vendors. The role supports solution design, implementation, cutover, go-live, and hypercare while helping define an internal simulator and data validation processes.

Build and maintain full-stack applications using React, .NET, C#, and AWS serverless services. Translate Salesforce workflows into modern web interfaces and support migration to a custom technology stack, including data modeling, integrations, and cutover planning. Develop APIs, write tested code, participate in architecture discussions and code reviews, and communicate technical progress and trade-offs with technical and business stakeholders.

Designs, integrates, and maintains dynamic live broadcast graphics and data-driven templates using Chyron Prime, Newsticker, and TriCaster. Creates production-ready graphics for news, sports, weather, and streaming; integrates creative assets into playout workflows; troubleshoots live graphics and data issues; and collaborates with producers, art directors, and technical teams. Uses Adobe Creative Cloud and generative AI tools to improve creative workflows while maintaining technical, visual, copyright, and production standards.

Modernize legacy IBM DataStage ETL/ELT workloads by re-engineering them as scalable Databricks and Spark pipelines on AWS. Responsibilities include migration assessment, pipeline development, testing, data validation, CI/CD automation, production cutover, stabilization, legacy decommissioning, documentation, and technical training. The role performs parity, unit, functional, UAT, regression, and performance testing while supporting application redeployment and operational readiness.

Architect and lead the modernization of legacy IBM DataStage ETL/ELT pipelines to scalable Databricks and AWS data platforms. Responsibilities include migration strategy, architecture standards, governance, CI/CD, testing, data quality, observability, lineage, cutover, hypercare, legacy decommissioning, documentation, and technical direction for engineering teams.

Design, build, test, and deploy enterprise workflow automations and SaaS integrations. Develop REST API integrations, custom automation logic, event-driven workflows, and browser-based automations. Analyze business processes, create reusable templates, document solutions, follow governance and release practices, and collaborate with security, IT, architecture, business stakeholders, and users.

Leads the design and development of scalable batch and streaming data platforms for experimentation, A/B testing, analytics, personalization, and machine learning. Builds dimensional models, reusable datasets, data quality and governance systems, CI/CD pipelines, monitoring, and observability. Partners with product, engineering, data science, and analytics teams; optimizes cloud data infrastructure; mentors engineers; and establishes technical best practices.

Build and deploy production NLP classification models for customer messages and call transcripts. Develop intent, topic, sentiment, and multi-label taxonomies; clean and prepare sensitive text data; create scalable Python and PySpark pipelines; design labeled datasets and annotation workflows; detect trends and anomalies; and monitor precision, recall, confidence, confusion patterns, false alerts, and model drift.

Leads complex enterprise technology projects across global network engineering and operations. Manages scope, schedules, budgets, risks, dependencies, quality, resource capacity, and delivery. Develops roadmaps, financial forecasts, prioritization plans, and status reports while coordinating engineering, infrastructure, product, finance, procurement, and business stakeholders. Supports technical benchmarking, tool selection, outcome-based roadmaps, and leadership communications.

Designs and builds scalable batch and real-time data pipelines, ingestion workflows, analytical processes, data products, and intelligent APIs. Ensures data quality, reliability, and performance while supporting Azure-based architecture for BI and AI/ML use cases. Collaborates with cross-functional teams, participates in code reviews, and follows DevOps, Agile, and CI/CD practices.