Top Senior Software Engineer Jobs in Indianapolis, IN

Design and build cloud-native ETL/ELT pipelines and microservices, modernize on-prem systems to distributed services, implement authentication/authorization and data governance, ensure data quality and observability, drive architecture and CI/CD best practices, mentor engineers, and collaborate with stakeholders across a US Navy-focused defense program.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Design, implement, and operate features for Temporal’s open source distributed systems server. Solve challenges involving scheduling, task processing, workflow execution, persistence, quotas, visibility, and performance. Improve reliability through testing, observability, dashboards, alerts, runbooks, and documentation. Collaborate across engineering and product teams, participate in design reviews, contribute to developer experience, and mentor junior engineers.

Design, evolve, and operate core data models and APIs for complex communications networks. Build durable abstractions for heterogeneous physical and logical networks, while maintaining interface quality, compatibility, consistency, and performance. Collaborate with experienced engineers to manage priorities, timelines, and deliverables across production systems. The role requires strong software engineering fundamentals and proficiency in Golang, C/C++, Rust, or Java.

Build and operate managed compute primitives for Temporal Cloud, including autoscaling systems, cloud integrations, control-plane and data-plane services, and multi-tenant execution infrastructure. Own architecture, APIs, reliability, observability, rollout strategies, incident response, and long-term maintenance. Lead technical design, cross-team platform initiatives, code reviews, and mentorship while ensuring secure, performant, and fault-tolerant customer-facing services.

Design, build, and operate highly scalable distributed storage systems for Temporal Cloud. Responsibilities include developing persistence APIs, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLO ownership, chaos testing, profiling, and incident reviews; and providing technical leadership through roadmap planning, RFCs, mentoring, and cross-team delivery.

Design, build, deploy, and support scalable distributed observability systems for internal developers and customers. Lead the software development lifecycle, develop and review designs, ensure testing and production readiness, investigate reliability and performance issues, participate in on-call support, and collaborate across teams to improve Temporal’s infrastructure and platform capabilities.

Lead the architecture and delivery of scalable backend systems supporting customer onboarding, account lifecycle management, billing, metering, marketplace integrations, revenue data synchronization, and customer-facing usage reporting. Build reliable distributed systems, data pipelines, and integrations while ensuring correctness, observability, compliance, and operational readiness. Partner with Finance, RevOps, Sales, Support, Product, and Engineering, provide technical leadership, mentor engineers, and improve customer and developer experiences.

Lead the technical vision, architecture, and implementation of large-scale cloud infrastructure powering Temporal Cloud. Drive multi-cloud compute, traffic, security, automation, scalability, performance, and reliability initiatives. Provide hands-on coding, technical mentorship, design review leadership, roadmap development, cross-team alignment, executive advising, and customer engagement while elevating engineering and operational excellence.

Design, build, and operate highly scalable, multi-tenant cloud storage systems for workflow data. Responsibilities include developing persistence APIs, storage abstractions, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLOs, chaos testing, profiling, and incident reviews; leading technical designs, mentoring engineers, and collaborating across teams.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Lead design and delivery of large-scale full-stack features across frontend and backend. Architect scalable cloud services, write well-tested code, mentor engineers, collaborate with Product and Design, and drive CI/CD and DevOps practices from concept to production.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Leads software design, development, debugging, testing, deployment, and production support for web applications. Conducts code reviews, builds reusable code, improves legacy systems, monitors system health, optimizes performance, and responds to on-call incidents. Collaborates with engineering, product, design, customers, and vendors; mentors junior engineers; maintains development standards; and champions API-first development. Requires full-stack experience, cloud-native application deployment, database expertise, REST APIs, testing, and AI-assisted development workflows.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions using Prebid.js, Prebid Server, and Google Ad Manager. Own the header bidding wrapper, integrate auction and ad-tech standards, optimize Core Web Vitals and client-side performance, operate Google Cloud services, review code, document architecture, and resolve production issues.

Lead frontend development for a satellite-data monitoring application serving defense and intelligence customers. Design and implement React and TypeScript features, guide frontend architecture, contribute to backend APIs, mentor engineers through reviews and technical discussions, and collaborate with product managers and designers. Own feature delivery from discovery through deployment while improving state management, data fetching, component design, testing, and frontend best practices.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network and product requirements into computational models, improve solution quality, runtime, scalability, and explainability, and evolve solver architecture for reliability under increasing complexity and load. The role also involves managing priorities, timelines, deliverables, and maintaining production software.