Top Tech Jobs & Startup Jobs in Indianapolis, IN

Senior Full Stack Engineer responsible for taking over an existing software project, completing unfinished features, resolving bugs, improving frontend and backend systems, integrating APIs and databases, refactoring for reliability and scalability, and preparing the application for production. The role requires independent ownership, strong debugging and software development skills, collaboration with stakeholders, automated testing, deployment workflows, and clear technical documentation.

Senior Python Developer responsible for taking ownership of an existing software project, understanding its architecture, completing unfinished features, resolving bugs, reducing technical debt, improving performance and reliability, expanding test coverage, and preparing the application for production release. The role requires independent decision-making, collaboration with stakeholders, API and database integration experience, and strong software engineering practices.

Leads SAP application development for a multi-year S/4HANA transformation. Manages engineers, contractors, and delivery partners; sets technical standards; governs custom development, integrations, extensibility, testing, security, releases, and production support. Champions clean-core architecture and coordinates with business, architecture, security, data, testing, and operations teams. Owns portfolio planning, delivery commitments, quality, vendor performance, talent development, and successful solution transitions into operations.

Leads hands-on development of enterprise AI solutions, including intelligent assistants, copilots, RAG platforms, document intelligence, and business-process automation. Designs cloud-native applications across Azure, SAP S/4HANA, and SAP BTP using Python, modern AI frameworks, Docker, Kubernetes, and CI/CD. Provides architecture guidance, mentors engineers, troubleshoots production systems, and communicates technical decisions to cross-functional stakeholders. Requires substantial software engineering experience and production Generative AI expertise.

Build and maintain integrated financial models, forecasts, budgets, and scenario analyses for revenue, costs, cash flow, and SaaS metrics. Analyze performance variances, customer economics, cloud costs, and gross margins. Partner with Finance, Sales, Revenue Operations, Product, and infrastructure leaders to validate assumptions, improve forecasting, and support strategic decisions. Present concise financial insights and recommendations to executives and non-financial stakeholders.

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

Designs, builds, and optimizes scalable data pipelines, ETL workflows, integrations, and reporting solutions. Develops SQL, Python, and Spark data-processing solutions using Azure Data Factory and Microsoft Fabric, while monitoring production reliability and performance. Collaborates with stakeholders, participates in code reviews, documents technical solutions, mentors junior engineers, and improves engineering practices. Requires strong data modeling, cloud data platform, Git, communication, and problem-solving skills.

Develop and deploy statistical and machine learning models, conduct exploratory analysis, forecasting, segmentation, experimentation, and AI initiatives. Translate business needs into analytical frameworks, KPIs, predictive insights, and recommendations. Collaborate with data engineering, BI, QA, and business teams to ensure data readiness, model integration, quality, governance, and auditability. Support revenue, marketing, financial, and operational decision-making through scalable analytical solutions.

Leads financial due diligence and performance analytics engagements for corporate and private equity clients during transactions, integrations, divestitures, and carve-outs. Responsibilities include data extraction, modeling, visualization, forecasting, AI-enabled automation, strategic counsel, client relationship development, team leadership, mentoring, and translating complex findings into actionable recommendations. Requires transaction services, quality of earnings, working capital, cash flow, and advanced analytics experience.

Advise clients on procurement transformation, strategic sourcing, category management, Source-to-Pay optimization, and third-party spend analysis. Lead procurement assessments, sourcing events, maturity evaluations, business cases, transformation roadmaps, and client workstreams. Analyze supplier and vendor data to identify savings, risks, and improvement opportunities. Support project management, change management, stakeholder alignment, presentations, thought leadership, and responsible adoption of AI-enabled solutions.

Design, administer, optimize, and support enterprise endpoint security platforms across a global environment. The role develops security baselines, hardening standards, automation workflows, and detection capabilities; investigates security events; supports incident response; evaluates security technologies; and partners with Cyber Operations, Infrastructure, Desktop Engineering, Identity, and DevOps/SecOps teams. Responsibilities include managing EDR, PAM, firewall, device control, API integrations, and security projects while improving overall endpoint security posture.

Own accounting for capitalized software and cloud computing arrangements, including capitalization tracking, reconciliations, journal entries, and ASC 350-40 compliance. Prepare variance analyses, reporting packages, and balance sheet reconciliations while supporting close cycles, audits, SOX controls, and financial reporting. Partner with Engineering, FP&A, IT, and Finance to improve accounting processes, data quality, ERP functionality, and AI-driven automation.

Leads Appfire’s strategic technology partnerships, primarily within the Atlassian ecosystem. Builds senior stakeholder relationships, evaluates collaboration and commercial opportunities, monitors platform and marketplace developments, and aligns partner priorities with Appfire’s product and business objectives. Independently drives cross-functional initiatives involving Product, Engineering, Finance, Marketing, Sales, Customer Success, and Data Insights while translating technical and commercial developments into actionable recommendations.

Own full-cycle mid-market sales, working with diverse companies and stakeholders on strategic, complex deals. The Account Executive will conduct discovery, build relationships, communicate value, solve customer problems, and drive successful outcomes. The role requires a proven sales track record, strong work ethic, coachability, adaptability, entrepreneurial spirit, and understanding of the technology industry.

Hightouch seeks a Mid-Market Account Executive to manage full-cycle sales, conduct discovery, build customer relationships, and close strategic, complex deals across varied industries and use cases. The role requires a proven sales track record, strong communication and interpersonal skills, adaptability, curiosity, ambition, humility, and knowledge of the technology industry. Candidates should have at least two years of corporate or mid-market sales experience and thrive in a fast-growing startup environment.

Review and annotate Chinese text and images to train AI: draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines. Remote, long-term contract (minimum 6 months), 30–40 hours/week, paid hourly with a short language assessment required.

Create 1–5 minute walk-and-talk videos of public city locations, speak naturally on camera, record steady footage with clear audio, submit videos with accurate location details, follow creative guidelines, respect privacy and safety, and meet weekly time commitments.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.