The Senior Software Engineer helps build, evolve, and operate the platforms that power AHEAD's business across cloud, data, AI, security, and software delivery. This role takes meaningful work from problem definition through production, makes sound technical decisions, and helps the team deliver software that is secure, reliable, and maintainable.
Responsibilities
Own well-scoped initiatives from understanding the user need and business outcome through design, implementation, deployment, production support, and continuous improvement.
Design and build secure, scalable solutions across web applications, services, APIs, MCP servers and integrations, data pipelines, and platform integrations.
Use AI tools and coding agents to accelerate exploration, scaffolding, refactors, tests, documentation, and research, then review, test, secure, and harden everything shipped.
Participate across analysis, design, implementation, integration, testing, deployment, observability, debugging, and support.
Contribute to architecture reviews and code reviews, and help improve engineering standards for quality, security, reliability, and maintainability.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Software Engineer, Data Platform to join the data infrastructure team of a fast-growing, venture-backed financial data and accounting automation platform.
Compensation
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.
Responsibilities
Build the financial data plane behind the product
Ingest raw data from ERPs, banks, payment processors and customer warehouses
Transform data into typed canonical tables
Serve data to accounting modules, reporting and AI agents
Build, operate, and improve reliable, secure, and performant database infrastructure supporting Mindbody, Booker, and the broader Playlist platform.
Responsibilities
Build, operate, and improve reliable, secure, and performant database infrastructure supporting Mindbody, Booker, and the broader Playlist platform.
Support and troubleshoot production Microsoft SQL Server environments, including query performance, database availability, and operational incidents.
Develop scripts, tools, and automation that reduce manual work and enable more efficient, self-service database operations for engineering teams.
Partner with application engineers to investigate database issues, support safe changes, and improve the developer experience.
Contribute to the modernization of our database infrastructure, including migration initiatives and improvements to deployment, testing, and infrastructure management.
Build and maintain backend services and platform components used across multiple applications, mainly in TypeScript, and work on high-throughput, time-series-oriented data paths.
Locations (2)
Munich, Bavaria, Germany
Utrecht, North Holland, Netherlands
Responsibilities
Build and maintain backend services and platform components
Work on high-throughput, time-series-oriented data paths: ingestion, streaming, storage and querying
Contribute to event-driven pipelines and public API documentation
Write clear specifications and acceptance criteria
Review code for correctness, security, performance and fit with architecture
Requirements
Bachelor's in Computer Science, Software Engineering or related field
Design, build, and operate backend services in the Applied AI stack including APIs, data models, background jobs, and pipelines.
Locations (3)
San Francisco, California, United States
New York City, New York, United States
London, England, United Kingdom
Compensation
Bi-annual performance bonus structure; Generous equity grant vested over 4 years; Up to $15k Relocation bonus; $10K housing bonus (if you live within 0.5 miles of our office); $1.5K monthly stipend for meals; Free Equinox membership; $200 monthly laundry reimbursement; $200 monthly personal wellness reimbursement; Health, Dental, Vision insurance
Responsibilities
Design, build, and operate backend services in the Applied AI stack including APIs, data models, background jobs, and the pipelines that connect them.
Own features end to end: scope the problem, write the design, ship the code, instrument it, and keep it healthy in production.
We are seeking a hands‑on Data Engineer who is skilled in building complex systems beyond just writing queries. This role focuses on SQL Server in both Linux and Windows environments and requires versatility across various tools, including PowerShell, APIs, Python, and emerging AI/LLM technologies. The role is for one of our North American clients with proprietary software for the insurance industry.
Responsibilities
Design, build, and optimize complex SQL Server solutions, emphasizing performance tuning, indexing, and data modeling.
Manage relational and semi-structured data, including JSON stored in SQL Server and multi-dimensional datasets.
Query and transform JSON using native SQL Server tools, such as OPENJSON and JSON_VALUE.
Use PowerShell, SQL Server tools, and scripting to automate processes.
Enhance functionalities by integrating with APIs and external systems.
Requirements
Nice to have: small team end-to-end ownership
Nice to have: complex application environments
Nice to have: problem solving without detailed requirements
Build and tune high-throughput data and job pipelines: queuing, batching, idempotency, retries, and backpressure.
Make the system fast and reliable by adding failure recovery in pipelines, profile hot spots, Agent token and cost attribution, caching issues, and set latency, error, cost budgets you actually hold to.
Instrument what you ship: observability, metrics, logging, tracing, and alerts that proactively catch problems.
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