Senior Software Engineer, Agent Tracing

Senior Software Engineer · Senior · Full Time

Vienna, AustriaEUR 81k – 220k4d ago
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Role

What you'll do.

As a Senior Software Engineer on Sentry's Telemetry Experience team, you'll own the Agent Tracing product surface—building developer-focused interfaces and APIs that transform complex LLM agent runs into debuggable, observable workflows. You'll work full-stack across Python/Django and PostgreSQL backends with React and TypeScript frontends, collaborating with SDK teams to enable developers to inspect agent runs, tool calls, model interactions, token usage, and multi-turn conversations end-to-end.

Responsibilities

  • Own End-to-End Product Development: Drive projects from customer discovery through scoping, architectural design, full-stack implementation, production rollout, and metrics analysis. You'll author design documents, decompose work into shippable increments, and remain accountable through post-launch impact measurement and iteration.
  • Design Agent Debugging Interfaces: Build sophisticated, highly legible dashboards and conversation replay tools for visualizing multi-agent workflows, token and cost breakdowns, and failure points. Solve the complex interface challenge of rendering deeply nested, variable-structure traces in ways that reveal root causes immediately to developers.
  • Optimize Data Access and Query Performance: Design fast, queryable data schemas for filtering and sorting millions of agent conversations at scale. Implement efficient APIs that support both human developers and autonomous agents, ensuring cost calculation accuracy and query response times that maintain excellent user experience.
  • Implement Intelligent Failure Detection: Expand the platform beyond retrospective observation to proactive problem identification. Build intelligent systems that categorize common agent failure patterns and surface them as actionable issues, reducing developer debugging time and enabling faster resolution.
  • Streamline Onboarding and Setup: Eliminate friction from agent tracing adoption by making instrumentation trivial across diverse technology stacks. Support both manual configuration workflows and AI-assisted setup, ensuring developers can integrate Sentry's agent observability in minutes regardless of their framework choices.
  • Cross-Functional Collaboration and Technical Leadership: Partner daily with product managers, designers, SDK engineers, and peer product engineers to translate technical constraints into user value. Bring deep technical perspective to design decisions, articulate infrastructure costs in customer impact terms, and champion attention to detail in empty states, error messaging, loading behavior, and edge cases affecting diverse user segments.

Qualifications

What we look for.

Technical

  • Full-Stack Web Application Development

    5+ years of professional experience shipping production full-stack web applications with demonstrated ability to work across frontend and backend technology stacks at scale.

  • React and TypeScript Proficiency

    Advanced experience building complex user interfaces with React and TypeScript, including sophisticated state management, performance optimization, and architectural patterns for large applications.

  • Python Backend Development

    Strong experience with Python frameworks such as Django, building RESTful APIs, server-side business logic, and scaling backend systems. Depth in Python or competence across stack is acceptable.

  • Relational Database Design

    Practical expertise with PostgreSQL or similar relational databases, including schema design, query optimization, index strategies, and performance tuning for high-volume data access patterns.

  • Data-Heavy Interface Architecture

    Demonstrated experience designing and implementing data visualization and querying interfaces where data structures are irregular, volumes are large, and user experience demands are high.

  • AI-Powered Development Tools

    Experience leveraging modern AI tools like GitHub Copilot, Claude, ChatGPT, and similar platforms to enhance productivity and code quality in daily engineering work.

Education

  • Professional Software Engineering Background

    Strong foundation in computer science principles, software architecture, and practical engineering practices. Formal degree or equivalent professional experience demonstrating deep technical competency.

  • Excellent Communication Skills

    Exceptional written and spoken English communication proficiency. Ability to articulate complex technical concepts clearly, document design decisions comprehensively, and collaborate effectively across distributed teams.

Experience

  • End-to-End Project Ownership

    Track record of driving complex, non-trivial projects independently from conception through delivery, including navigating stakeholder alignment, cross-team dependencies, and execution discipline.

  • Full-Stack Implementation at Scale

    Proven ability to architect and implement systems spanning frontend, backend, and database layers, making informed tradeoffs between user experience, system performance, and operational complexity.

  • Developer Product Experience

    Familiarity with application monitoring, observability platforms, and developer-facing products where understanding engineering workflows and pain points is critical to product success.

Skills

Required

  • React and TypeScript

    Production-grade expertise building complex, performant user interfaces with React hooks, component architecture, TypeScript type systems, and state management patterns.

  • Python and Django

    Strong command of Python language features and Django framework capabilities including ORM, middleware, views, and API development for scalable backend services.

  • PostgreSQL

    Practical database design and optimization skills, including query writing, indexing strategies, transaction handling, and performance analysis for high-throughput applications.

  • Full-Stack Web Architecture

    Understanding of end-to-end web application architecture, API design patterns, frontend-backend integration, and deployment considerations for production systems.

  • Data Visualization and UI/UX

    Capability to translate complex data structures into clear, usable interfaces. Understanding of information hierarchy, progressive disclosure, and interaction patterns that guide users to insights.

Preferred

  • LLM and Agent Framework Experience

    Nice to have

    Hands-on experience building production applications with LLM APIs or agent frameworks (LangChain, AutoGen, others), understanding failure modes, debugging challenges, and observability gaps firsthand.

  • Application Monitoring and OpenTelemetry

    Nice to have

    Familiarity with APM platforms, distributed tracing concepts, instrumentation standards, and OpenTelemetry ecosystem. Understanding observability architecture and trace semantics.

  • Large-Scale Data Analytics

    Nice to have

    Experience querying and analyzing large datasets using analytical databases like ClickHouse, Snowflake, or similar platforms for generating insights from high-volume transactional data.

  • Developer Products and SDKs

    Nice to have

    Background building developer-facing products, software development kits, or public APIs. Understanding the developer experience and ergonomics that drive adoption and satisfaction.

  • Open Source Contribution

    Nice to have

    Track record of meaningful contributions to open-source projects, demonstrating collaborative development practices, code review culture, and commitment to community-driven software.

Tech stack

Languages

PythonTypeScriptJavaScriptSQL

Frameworks

DjangoReact

Databases

PostgreSQL

Tools

Git and GitHubDockerREST APIs

Other

Distributed TracingOpenTelemetryLLM and Agent FrameworksPerformance Optimization

Compensation

Pay and benefits.

Base·EUR 81,000 – 220,000

Equity·Stock options

Benefits

  • Equity Compensation

    Participation in Sentry's equity grant program, aligning your financial interests with company growth and providing long-term wealth building opportunities.

  • Paid Time Off

    Generous paid vacation and personal time off policies supporting work-life balance and employee wellbeing across distributed global operations.

  • Comprehensive Health Insurance

    Group health insurance coverage supporting medical, dental, and vision benefits for employee health and wellness.

  • Performance Incentive Compensation

    Variable compensation tied to individual and company performance, rewarding delivery of impactful features and business results.

  • Remote-Flexible Work

    Flexibility to work remotely or from Sentry's Vienna office location. Sentry maintains a distributed company culture supporting asynchronous collaboration and geographic flexibility.

  • Professional Development

    Access to learning resources, conference attendance budgets, and training programs supporting continuous skill development in emerging technologies like agent frameworks and LLM systems.

  • Collaborative Engineering Culture

    Work with world-class engineers on cutting-edge observability challenges. Opportunity to shape the future of agent observability in an emerging product space.

Process

Interview steps.

  1. 01

    Initial Screening

    Conversation with Sentry talent team to confirm background alignment with role requirements, discuss career goals, and assess communication skills.

  2. 02

    Technical Deep Dive

    Collaborative technical discussion with engineering team members covering architecture decisions, past project challenges, and approach to complex full-stack problems. Expect questions about React/TypeScript, Python/Django, database design, and data-heavy interface patterns.

  3. 03

    System Design Conversation

    Whiteboard or collaborative discussion addressing design of large-scale systems relevant to agent tracing, such as designing queryable trace storage, dashboards for complex data, or distributed systems handling high-volume events.

  4. 04

    Product and Collaboration Assessment

    Discussion with product managers and designers about past product experiences, how you've collaborated across teams, and your approach to balancing technical constraints with user needs and developer experience.

  5. 05

    Leadership and Communication Evaluation

    Conversation exploring end-to-end project ownership, written communication samples (past design docs, PRs, technical writing), and how you drive alignment across teams with different perspectives and priorities.

  6. 06

    Final Interview with Leadership

    Conversation with engineering leadership covering team dynamics, career development goals, and cultural alignment with Sentry's mission to improve software observability and developer experience.

Full posting

Original listing.

About Sentry

Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.

Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.

About the role

Agents are becoming the default way developers ship LLM-powered software, and they are miserable to debug. A single run fans out across model calls, tool calls, retries, handoffs between agents, and multi-turn conversations that only make sense as a whole. When one goes wrong, the developer usually has a log line and a shrug.

Sentry's Agent Tracing turns that into something you can actually inspect: agent runs, tool calls, model interactions, token usage and cost, conversations you can replay message by message.

As a Senior Software Engineer on the Telemetry Experience team, you'll own that product surface - Python/Django and Postgres on the backend, React and TypeScript on the frontend, sitting on top of Sentry's trace storage. You'll work with the SDK engineers who instrument the agent frameworks upstream and own everything customers touch downstream: the dashboards, the conversation views, the APIs, and the workflows that turn a confusing agent run into an obvious fix.

In this role you will

  • Own projects end to end. Take a problem from a rough customer complaint through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move

  • Build the views developers debug agents in. Multi-agent workflows, conversation replay, cost and token breakdowns, the moment where a run failed and why. Making a deeply nested, wildly variable trace legible is a genuinely hard interface problem

  • Make the data underneath fast and queryable. Filtering and sorting millions of conversations, getting cost calculation right, and designing APIs that both humans and other people's agents can use well

  • Detect the failures worth flagging. We're expanding from showing developers what happened to telling them what went wrong - common agent failure classes surfaced as issues, not as something you have to go looking for

  • Take the friction out of getting started. Setup should be trivial on any stack, whether a developer wires it up by hand or asks their coding agent to do it

  • Collaborate daily with product managers, designers, SDK engineers, and other product engineers. You'll bring the technical perspective that makes a design better, explain constraints in terms of what they cost the user, and sweat the details other people skip: empty states, error messages, loading behavior, the edge case that only bites 2% of accounts

You’ll love this job if you

  • You'd rather own an outcome than a ticket. You take ambiguous problems, decide what to build, drive it across team boundaries, and follow through after launch. Nobody has to hand you a spec

  • You're obsessed with making an experience smooth. Friction offends you. You notice the extra click, the confusing label, the query that takes 400ms too long - and you fix them instead of filing them

  • You solve problems for customers, not for the codebase. Sentry's users are developers, so you can read their bug reports, sit in their tooling, and tell the difference between what they asked for and what they need

  • You communicate well in writing. Working across SDK teams, product, and design in a distributed company means your docs, PR descriptions, and updates do a lot of the work

  • You want to build in a space that's still being figured out. Nobody has settled what agent observability should look like. You'd rather help decide that than implement someone else's finished answer.

Qualifications

  • 5+ years of professional experience building and shipping full-stack web applications

  • Strong experience with React and TypeScript, and with Python (Django or similar) backed by a relational database such as PostgreSQL - depth in one side and real competence in the other is fine

  • A track record of driving non-trivial projects end to end, including the parts that require getting other teams to agree with you

  • Comfort designing and building data-heavy interfaces where the shape of the data is messy and the volume is large

  • Excellent written and spoken English communication skills

  • Experience leveraging AI-powered development tools to enhance productivity and code quality

  • You live in the Vienna area or are willing to relocate for this role

Bonus points

  • You've built something real with LLMs or agent frameworks and know their failure modes first-hand

  • Familiarity with the application monitoring and observability space, or with OpenTelemetry

  • Experience querying large-scale analytical data stores (ClickHouse, or similar)

  • Experience building developer-facing products, SDKs, or public APIs

  • A track record of contributing to open-source projects

We are obliged by law to quote the minimum wage of EUR 60,844,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The salary that Sentry offers you is adjusted to the current market situation and will be above the IT-KV.

A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

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