Top Tech Jobs & Startup Jobs in Indianapolis, IN

Build ngrok’s foundational security engineering program, including security tooling, CI/CD guardrails, secrets scanning, vulnerability tracking, cloud security, risk assessments, AI security policies, detection capabilities, and incident response. Partner with engineering and leadership to establish security controls, automation, metrics, and reusable internal security platforms.

Own product and application security for a multi-tenant insurance platform. Responsibilities include secure SDLC, security-focused code review, application security, tenant isolation, cloud security posture, supply-chain controls, penetration testing, threat modeling, vulnerability management, incident response, and SOC 2 compliance readiness.

Owns application-layer security across the platform by building and tuning SAST, DAST, SCA, container, and IaC scanning programs. Triages vulnerabilities from scans, penetration tests, and bug bounties; partners with engineers on remediation; performs threat modeling; maintains secure coding standards; supports incident response; coordinates penetration testing; and reports security metrics. Requires strong application security expertise, cloud and CI/CD security experience, and effective cross-functional communication.

Leads complex commercial contract reviews, drafting, and negotiations with strategic third-party suppliers. Assesses and mitigates contractual risk, develops negotiation strategies, advises Supply Chain and business stakeholders, collaborates with Legal Counsel, improves contracting processes and playbooks, and mentors less experienced team members.

Leads product strategy, roadmap, pricing, security product direction, AI governance, integrations, regulatory capabilities, customer discovery, launches, and product team development. Partners with Engineering, Research, Sales, Marketing, Finance, and executives to improve retention, expansion, win rate, margin, and enterprise adoption. Owns detection quality, deployment models, secure-by-design requirements, compliance certifications, competitive positioning, and board-level product communications.

Build and operate highly scalable backend systems and Core APIs for real-time fraud detection. Responsibilities include API development, distributed systems scaling, SLI/SLO ownership, observability, incident response, capacity planning, load testing, performance optimization, automation, and reliability improvements. The role participates in on-call rotations, leads blameless postmortems, collaborates cross-functionally, and mentors engineers.

Designs, automates, and improves the reliability, availability, and recoverability of on-premises, hybrid, and cloud technology platforms. Builds infrastructure-as-code, recovery workflows, self-healing systems, monitoring, and validation processes; defines resiliency objectives; conducts disaster recovery tests and chaos experiments; and facilitates architecture reviews and recovery exercises. Partners across engineering, infrastructure, cloud, application, and business teams while maintaining regulatory-ready documentation.

Leads and develops a data science team delivering generative AI solutions for consumer banking. Oversees LLM experimentation, prompt and context engineering, RAG, fine-tuning, evaluation frameworks, data curation, responsible AI, and model risk compliance. Partners with business, technology, compliance, and risk stakeholders to guide safe AI deployment, communicate technical findings, and establish organizational standards for trustworthy AI.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Responsibilities include Kubernetes runtime isolation, identity and credential security, service mesh trust, Terraform infrastructure, fleet scaling, CI/CD, observability, auditability, human approval workflows, and governed agent integrations. The role also sets technical direction, mentors engineers, and partners across Product, Security, and Leadership to deliver secure, reliable distributed systems at scale.

Own and improve security across cloud infrastructure, AI platforms, corporate IT, endpoints, identity, email, and business applications. Build detection and response capabilities, secure containers and software supply chains, implement identity and access controls, manage vulnerabilities and secrets, and automate security guardrails. Investigate threats across cloud, identity, and endpoint telemetry while protecting sensitive customer data and supporting compliance controls.

Conduct outbound calls, emails, and targeted sequences to hotel decision-makers across the West Coast. Research prospects, build qualified pipeline, book discovery meetings for Account Executives, track activity, and share market intelligence. The role requires strong communication, resilience, hospitality interest, bilingual communication skills, and practical AI use for prospect research and personalized outreach.

Owns end-to-end product and engineering strategy for Mews' Back of House domain. Leads globally distributed engineering teams, builds the management structure, develops senior talent, and improves reliability, performance, and technical debt without disrupting delivery. Determines where AI should be integrated into the product and ships AI-driven improvements. Requires VP-level product and engineering ownership, SaaS scaling experience, strong people leadership, and hands-on experience shipping AI as a core product capability.

Conduct multichannel outbound prospecting to hotel general managers, revenue managers, and procurement contacts across the East Coast and Central US. Research prospects, build qualified pipeline, book discovery meetings for Account Executives, report activity, and share market intelligence. The role requires strong communication, hospitality curiosity, resilience, and practical AI use for prospect research and personalized outreach.