Jobs at Arcadia (DC)

Build, evaluate, and deploy production machine learning models for utility data extraction, forecasting, anomaly detection, and agent-powered workflows. Responsibilities include Python development, experimentation, model evaluation, data validation, prompt tuning, documentation, monitoring support, and collaboration with engineering and subject matter experts.

Own the Plug presentment roadmap for Arcadia’s utility data platform, including customer-facing APIs, delivery workflows, and self-service tools. Define product requirements, API contracts, and scalable data-delivery capabilities while partnering with engineering, design, operations, and global teams. Balance new feature delivery with KTLO and technical debt, leverage AI tools for productivity, manage dependencies, communicate progress, and support external developer documentation.

Provides senior technical support for Mac and Windows systems, manages Jira Service Desk boards and workflows, automates ticket processes using AI, resolves incidents, supports global users during a fixed night shift, mentors junior technicians, collaborates on infrastructure, and analyzes support metrics to improve service delivery.

Provides onsite and global IT helpdesk support during a fixed night shift in Chennai. Responsibilities include troubleshooting macOS and Windows hardware and software, managing Jira tickets, provisioning systems, handling onboarding and offboarding access, maintaining IT asset data, and supporting Google Workspace, Slack, and other SaaS platforms. The role uses AI tools to improve troubleshooting and documentation, escalates complex issues, and collaborates with senior technicians while developing advanced support and automation skills.

Leads a high-volume data operations team responsible for utility billing research, validation, reconciliation, quality, SLA, productivity, and issue resolution. Manages escalations, performance reporting, process controls, root-cause analysis, continuous improvement, automation initiatives, stakeholder communication, coaching, and team development. Ensures accurate, timely bill processing while identifying operational risks, bottlenecks, and opportunities to improve efficiency.

Owns production AI and distributed backend systems that transform utility documents into reliable structured data. Responsibilities include designing multi-agent workflows, OCR and document intelligence pipelines, event-driven Python services, evaluation frameworks, data models, deployments, observability, testing, and incident follow-up. The role requires end-to-end ownership, strong communication, mentoring, and hands-on expertise with LLM applications, AWS, Kubernetes, PostgreSQL, and resilient distributed systems.

Senior Staff Engineer serving as a hands-on technical SME across Core Engineering squads in India. Responsibilities include approving complex designs, building production software, leading distributed systems and cross-service changes, improving performance and reliability, validating AI-generated code, modernizing legacy services, resolving production issues, documenting architecture, and mentoring senior engineers without direct management responsibilities.

Own Zendesk architecture, administration, integrations, workflow automation, migrations, governance, and technical escalations across multiple business units. Design integrations with CRM, billing, ticketing, data, and third-party systems; establish access controls and change management; evaluate Zendesk apps and APIs; and partner with global stakeholders to deliver scalable support operations solutions.

Manages accounting operations, financial reporting, reconciliations, accruals, fixed assets, and month-end and year-end close processes. Oversees payroll accounting, employee costs, statutory compliance, audits, and internal controls. Prepares financial statements and management reports, coordinates with auditors and consultants, and drives accounting process improvements and ERP automation.

Lead architecture and technical direction for backend services powering utility-data acquisition, extraction, and auditing. Own medium-to-large projects end to end, review designs and code, manage reliability and technical debt, support production operations, and mentor engineers. Build high-volume distributed systems and third-party integrations using Java, Python, SQL, event-driven architectures, and AWS-based container platforms. Establish rigorous AI-assisted development, observability, testing, and architectural practices while collaborating across product, operations, analytics, and distributed engineering teams.