Top Senior Software Engineer Jobs in Indianapolis, IN

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.

Lead design and implementation of scalable backend solutions, collaborate on requirements and specs, troubleshoot complex technical issues, conduct and lead code reviews, ensure rigorous automated testing, leverage AI tools to improve workflows, and support high-volume transactional processing.

Lead design and implementation of Pinterest Edge systems (CDN, TLS, DNS, proxies) to manage automation traffic and rate limiting at scale. Develop request-processing logic in Envoy, collaborate with vendors and platform teams, mentor engineers, use AI to accelerate workflows, and participate in on-call incident response and reliability improvements.

Design, build, and operate secure, scalable cloud infrastructure and platform capabilities. Implement IaC, improve CI/CD, observability, and automation. Lead incident response, reliability, and DevSecOps practices. Mentor engineers, drive platform standardization, document runbooks, and participate in a 24/7 on-call rotation to support production systems and remediation of systemic infrastructure issues.

Design and implement scalable, secure cloud-native microservices and data platforms. Collaborate with product and stakeholders, mentor junior engineers, build CI/CD pipelines, and translate business needs into developer-ready stories.

Design, build, and maintain scalable full-stack web applications. Implement backend APIs and responsive frontends, deploy to cloud, ensure security/performance, write tests, debug issues, participate in reviews, and mentor junior developers.

Design, architect, and implement cloud-native Java microservices and event-driven systems using Spring Boot and Kafka. Lead ETL and data migration efforts, ensure API governance and observability, drive SecDevOps practices, and integrate services with EHR systems using HL7/FHIR while mentoring engineers and collaborating on security and compliance.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Lead architecture and implementation of ledger, payments, and money-movement systems. Design reliable backend services, integrations, and data models for balances, reimbursements, reconciliation, reversals, and payment state. Guide technical decisions, mentor engineers, partner with product leadership, and apply production financial systems experience to ensure correctness and operational reliability.

Hands-on senior full-stack engineer building and supporting user-facing features, infrastructure, and AI-powered workflows (LLM integration, RAG, agents). Drive architecture, dev experience, CI/CD, and partner with product and program teams to deliver a scalable education platform.

Define next-generation graphics and compute capabilities for Direct3D and HLSL. Collaborate with GPU vendors and industry groups, influence standards, design and ship new features, and analyze and optimize workloads across modern GPU architectures.

Design, build, and maintain large-scale, resilient systems; develop features and automated tests; mentor engineers; implement CI/CD and cloud-native infrastructure; integrate AI tools; lead projects, code reviews, and cross-team initiatives while improving engineering practices and documentation.

Build and maintain test automation, performance testing and analysis tooling for a distributed database (primarily in Python). Collaborate with stakeholders to create reproducible tests, extend developer tooling, and produce documentation and runbooks for maintainers and developers.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

Lead design and delivery of platform capabilities that power a Federated GraphQL API and event-driven systems. Build and optimize gRPC endpoints, GraphQL APIs, and SQL for scale; own observability (DataDog, Bugsnag), mentor engineers, drive integrations, improve performance and reliability, and support customer-facing product teams across the organization.

Lead technical vision and architecture for a full-stack healthcare platform. Build scalable backend services, APIs, frontend apps (React/Next.js), cloud-native systems, microservices, and AI/LLM integrations. Lead cross-functional initiatives, mentor engineers, establish best practices for CI/CD, observability, security, and performance, and collaborate with Product, Design, and Data teams to deliver reliable, HIPAA-aware solutions.

The role involves building decision science libraries and tools for mineral exploration, collaborating with teams to improve decision-making processes.

Lead platform reliability: define SLOs/error budgets, own observability and deploy pipelines, harden integrations with dental systems, operate LLM-driven workflows safely, build incident practices, and raise engineering reliability across the company.

Architect, implement, and optimize cloud-based solutions; mentor junior engineers; design and deploy automated, production-grade systems; monitor cloud health and resolve incidents; apply cloud security best practices and healthcare compliance to ensure reliable, scalable infrastructure.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Lead architecture and delivery of large-scale, cloud-native distributed systems. Own service lifecycle in Kubernetes, drive scalability and reliability, mentor engineers, participate in on-call, and coordinate cross-functional initiatives.

Design and implement control-plane services, CSI drivers, and tooling to provision and operate high-performance storage for Kubernetes-based GPU/AI workloads. Integrate enterprise and scale-out storage (e.g., PowerScale, VAST), deliver IaC and GitOps pipelines, build observability for data-path performance, and support hybrid, bare-metal, and air-gapped deployments.

Build and operate the internal Developer Platform: improve monorepo CI/CD, scale agentic AI platform (observability, RAG, context engineering), consolidate build systems, automate developer toil, and drive DORA-aligned delivery across teams through design, code reviews, and platform roadmaps.