Top Remote Senior Level Jobs in Indianapolis, IN

Leads a 10–20-person Network Engineering team responsible for post-sales managed Wi-Fi configuration, deployment, installation, and validation. Balances staffing, schedules, quality, customer requirements, productivity, and financial objectives while contributing approximately 20% hands-on engineering work. Drives process improvements, automation, training, documentation, escalation resolution, and cross-functional implementation efforts. The role requires extensive IP networking expertise, leadership experience, vendor platform knowledge, and approximately 10% travel across the United States, Canada, and Mexico.

Implement and maintain Informatica data governance solutions, including metadata management, data quality, lineage, and stewardship workflows. Develop automated ingestion, transformation, and validation processes; integrate Snowflake with Informatica and cloud platforms; monitor pipeline reliability; document governance standards; support reporting; troubleshoot data issues; and provide technical guidance to business and technical teams.

Leads ServiceNow technical projects supporting VA EHR modernization, managing roadmaps, Agile delivery, requirements, configuration, integrations, reporting, testing, releases, governance, adoption, and sustainment. Coordinates cross-functional teams, government stakeholders, architecture and security reviews, API dependencies, dashboards, data quality, and executive communications. Requires ServiceNow expertise, technical project management, business analysis, Agile/Scrum leadership, regulated-environment experience, and eligibility for VA Public Trust access.

Leads architecture and delivery of enterprise generative AI platforms and LLM-powered systems, including RAG, agentic workflows, model integrations, evaluation tooling, and governance. Owns platform architecture, security, privacy, observability, cost attribution, and responsible AI practices in a regulated healthcare environment. Mentors AI engineers, establishes technical standards, leads design reviews, evaluates vendors and models, and partners with engineering, product, legal, compliance, and privacy teams.

Lead the design and deployment of AI platforms, agentic systems, model gateways, RAG pipelines, and AI-focused DevOps infrastructure. Build self-service GCP AI APIs, SDKs, and Terraform modules; manage model routing, observability, security, deployment, and automation using GKE, Cloud SQL, Cloud Build, and related services. The role requires extensive platform engineering, cloud infrastructure, IaC, MLOps, and enterprise AI architecture experience.

Lead the strategy, roadmap, and execution of an AI-driven B2B SaaS platform for government contracting. Translate RFP and customer needs into prioritized product enhancements, collaborate with AI research and cross-functional teams, apply agile methodologies using Jira, and drive successful product launches and adoption.

Leads and develops a team responsible for Microsoft 365 and modern workplace services. Provides hands-on technical leadership across endpoint management, identity, collaboration, automation, security, and device management. Oversees technical design, implementation, troubleshooting, escalations, service operations, roadmaps, governance, documentation, and continuous improvement while partnering with other IT teams and organizational leadership.

Designs customized legal service and technology solutions for enterprise clients, managing complex implementations from concept through transition. Advises clients on data integration, case management systems, APIs, and third-party legal technology. Collaborates with sales, product, engineering, operations, and client service teams to drive adoption and revenue. Requires expertise in legal service regulations, two-sided marketplace platforms, technical integrations, advanced problem-solving, and project management for multi-party implementations.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Embeds security across the software development lifecycle by leading threat modeling, security design reviews, application security assessments, red-team exercises, and secure architecture guidance. The role drives adoption of SAST, DAST, and SCA tooling, strengthens CI/CD and cloud security, supports fintech regulatory compliance, and advises engineering and product leadership on prioritized security risks.