Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Box and Blue Yonder, leverage AI to transform how they build software. By combining the industry's deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what's driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance. 

Jellyfish

Equity / Stock Options

Bonus

 is maturing, and after a year of record growth, we are looking for experienced Strategic AEs to join our team and help us grow our footprint on the East Coast. We are looking for high performing individuals with a strong track record in Strategic Enterprise B2B sales. If you are consistently over-achieving your sales goals and also care deeply about winning as a team, this is for you!

Responsible for strategically building/sourcing your own B2B pipeline by outbound targeting CTOs, VPs of Engineering, etc.

Engage in both technical and business oriented conversations with Enterprise Customers.

Manage a complex/technical deal cycle by performing product demonstrations that highlight the value of Jellyfish, managing POC and onboarding processes, assembling business case studies and executive read-outs, etc.

Provide analytics/insights through regular reporting, updates, and forecasts.

Partner closely with Sales Engineering/Customer Success teams to manage both pre-sales and post-sales motion.

Maintain strong relationships with customers post-sale to drive both expansion and renewal business.

Let’s talk about what you need to excel:

Passion - from learning to self-development. You enjoy being challenged

Collaboration - want to go above and beyond in making those around you better, but also do not possess an ego that prevents you from learning from your peers and reaching out for help

Ambition - a competitive person who has a strong track record of success in quota attainment and consistently finishing at the top of the leaderboard

Persistent - from written communication, to sales calls, to relationships built with customers, you strive to put your best foot forward and avoid complacency wherever possible

Drive - you thrive in a fast-paced, entrepreneurial environment

Sense of Humor - We know sales can be hard, and there’s a lot of work to do to accomplish the lofty goals we have, but we also want to make work fun along the way.

10+ years Enterprise B2B sales experience at a startup.

Sold into the CTO / VPE / Director Engineering personas

A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.

Applicants must be authorized to work for 

We are unable to sponsor or take over sponsorship of an employment visa at this time.

This is all about you, but you want to know a little about us. 

 is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance. 

Work Authorization Required

Senior Level

No Sponsorship Available

Travel Required

Startup Experience

Strategic Account Executive at Jellyfish, focusing on the East Coast. The role involves building B2B pipelines by targeting technical leadership, managing complex deal cycles, and performing product demonstrations. The candidate will leverage Jellyfish's AI-integrated engineering intelligence platform to drive enterprise growth and maintain strong customer relationships.

$280K – $330K • Offers Equity • Offers Commission

Strategic Account Executive - East Coast  

Full Time

 to own a critical part of Jellyfish's product and lead the people building it. You'll report to the Head of Product, manage a small team of Product Managers, and work hands-on with an engineering team to deliver customer value. You'll help determine where AI creates durable customer value, where human judgment matters, and how to measure whether new capabilities actually improve outcomes. This is a rare blend: you'll set the strategy and vision for your domain, drive the day-to-day rhythm that turns strategy into shipped product, 

You're equally comfortable in a customer conversation, an executive review, and a whiteboard session with engineers over a thorny tradeoff. You bring a proposed path and you make the calls that hold up over time.

Synthesize signals from users, competitors, and market trends into product insight that goes beyond explicit requests, and keep that understanding current rather than point-in-time

Articulate a desired future state to build momentum, validate the vision, and inspire your team

Build an evidence-based case for what your team should prioritize and frame it in commercial terms to build internal alignment and excitement

 do as what it will, and hold that line under pressure with clear, defensible reasoning.

Drive execution and keep a clear product rhythm.

Run a transparent cadence: what's on track, what's struggling, and what concrete actions are already in motion.

Surface risks and opportunities early with a recommended path already in hand. Don't wait to be asked.

Own a measurement framework that ties product decisions to business outcomes.

Track whether leading indicators are moving, keep an honest ongoing view of whether bets are paying off, and communicate results in a way that lands with different audiences.

Directly manage and develop two PMs,  not just delegating tasks, but building their capability, modeling strong product thinking, and giving direct, useful feedback.

Bring new skills and frameworks that raise the whole team's game.

Earn technical credibility with engineering, engage with tradeoffs on the merits, and unblock cross-team dependencies through relationships rather than escalation.

Be someone customers and executives seek out: simplify complexity, tell a clear story, handle tough questions, and generate buy-in without overselling.

8+ years in product management, including 2+ years directly managing and developing other PMs, ideally in fast-growing B2B SaaS.

A track record of navigating ambiguous, high-stakes decisions with a clear framework — weighing long- vs. short-term tradeoffs, considering second-order effects, and revisiting calls when the outcome reveals something new.

Strong data fluency: you define success metrics, connect them to business results, and hold yourself honest about whether the numbers are moving.

Enough technical depth to earn credibility with engineers and engage substantively on architecture and tradeoffs.

Sharp customer and market intuition, and the communication skills to make complex ideas simple for customers, peers, and executives alike.

A real bias for action, balanced with the judgment to say no and the discipline to see things through.

Have a background in developer tools, engineering intelligence, or products built for technical audiences.

Have experience operating in an environment being reshaped by AI, with a point of view on where the space is heading.

People Management

Work Authorization

Travel

Jellyfish is looking for a Group Product Manager to lead a team of Product Managers and drive product strategy for their AI-integrated engineering intelligence platform. This role involves setting vision, managing execution, and partnering with engineering to deliver customer value in a fast-growing B2B SaaS environment.

Group Product Manager

 on the Jellyfish Research team, you will support our mission to deliver product innovation, cutting-edge research, and trusted analytics and insights across Jellyfish. You will help build the data and AI platform that powers our internal enterprise-wide analytics, self-service BI, agentic analytics, and AI-enabled workflows.

This role is ideal for a senior individual contributor who is excited to combine traditional data engineering with modern data platform ownership. You will still build ingestion, transformation, and data delivery pipelines, but your broader mandate will be to help make Databricks the trusted foundation for analytics and AI across the company.

You will play a key role in designing and operating our Databricks Lakehouse, governing our data through Unity Catalog, enabling accurate and scalable BI within Databricks, and building the foundation for agentic analytics using capabilities such as Genie, Databricks Apps, Ontology, and other Databricks-native AI and analytics features.

Most importantly, you will be part of a highly talented team working in a fun, challenging, and collaborative environment, building a fast-growing business led by experienced entrepreneurs and backed by top-tier investment partners.

Design, build, and maintain data platforms and pipelines that support analytics, data science, BI and AI across Jellyfish.

Lead the evolution of Jellyfish’s Databricks Lakehouse platform, helping define the architecture, governance model, development patterns, and operating practices that make the platform reliable, scalable, and easy to use.

Be a leader in enabling enterprise-wide agentic analytics within Databricks with trusted datasets, semantic definitions, well-managed context, and well-governed agentic access.

Help mature core Databricks platform capabilities, including Unity Catalog, governed data access, data lineage, metadata management, compute patterns, environment management, and platform observability.

Build and maintain ingestion pipelines that bring high-value data into the Lakehouse

Partner on data flows that send trusted data to other internal systems

Collaborate with data scientists, analysts, product managers, engineering leaders, customer success leaders, go-to-market leaders, and other stakeholders to understand analytical needs and design durable platform solutions.

Create standards and reusable patterns for data modeling, documentation, observability, testing, governance, and AI-readiness across the data platform.

Develop tools and processes to monitor data platform health, pipeline reliability, cost, performance, usage, and trust.

Provide technical leadership as a senior individual contributor by setting architectural direction, raising engineering standards, mentoring teammates, and helping the team make high-quality technical decisions.

Stay current with emerging Databricks and AI capabilities, evaluate where they can create real value for Jellyfish, and help turn promising ideas into production-ready platform capabilities.

Let’s talk about what you need to excel

You have deep experience in data engineering, data platform engineering, analytics engineering, or related roles.

You have designed, built, and operated reliable data platforms or large-scale data pipelines in production.

You have strong experience with Databricks or similar lakehouse/data platform technologies, and you are excited to help make Databricks a central platform for analytics and AI.

You understand how to build governed, well-modeled data assets that can support BI, analytics, data science, and AI use cases.

You have experience with data ingestion, transformation, orchestration, testing, monitoring, and data quality practices.

You have advanced SQL skills and experience working with multiple database and warehouse technologies.

You are a strong programmer, with experience building production-grade systems in Python or similar languages.

You understand the importance of metadata, documentation, lineage, access control, and semantic context in making data trustworthy and usable.

You are excited about AI and agentic analytics, but you also understand that successful AI depends on strong data foundations, clear definitions, governance, evaluation, and operational discipline.

You are comfortable working with technical and non-technical stakeholders, translating ambiguous needs into durable platform capabilities.

You operate as a senior individual contributor: you can lead through architecture, judgment, communication, influence, and execution without needing to be a people manager.

You love learning new things and teaching others what you know.

You have strong communication skills and enjoy working as part of a cross-functional team.

Databricks Unity Catalog, Databricks SQL, Lakehouse architecture, Delta Lake, Databricks Workflows, Databricks Apps, Genie, or related Databricks AI/BI capabilities.

Building platforms for self-service analytics, governed BI, semantic layers, metrics layers, or AI-assisted analytics.

Designing data platforms that support LLMs, agents, retrieval-augmented generation, MCP, or other AI-enabled workflows.

Infrastructure-as-code and platform automation tools such as Terraform, Databricks Asset Bundles, CI/CD pipelines, or similar technologies.

dbt and modern analytics engineering practices

Senior Data and AI Platform Engineer at Jellyfish, focusing on the design and operation of a Databricks Lakehouse. The role involves building data pipelines, governing data via Unity Catalog, and enabling agentic analytics using LLMs and AI-enabled workflows to support enterprise-wide BI and research.

Senior Data and AI Platform Engineer

Jellyfish is the backbone for elite engineering organizations, and we are looking for a 

 to join our team and turn our rich data into high impact features that solve real problems for our customers. You’ll leverage existing platform capabilities while acting as a critical internal customer, providing feedback that shapes the roadmap of our core data platform. If you are passionate about data storytelling, building performant user-facing data products, and collaborating with platform teams to unlock new capabilities, you’re the perfect fit.

You’ll join a small, highly collaborative team that works together to define questions for user research, experiment with internal data, and produce prototypes to validate ideas.  You’ll engage with internal and external users, and have the opportunity to engage in all phases of product development. 


Your work will primarily involve Python, Databricks, and Postgres, with occasional excursions into SQL. You’ll develop deep knowledge of the data in our catalogue, and help set priorities for new data sources. You’ll partner with a data scientist and another software engineer to try out data transformations that result in insightful and useful metrics.

You’ll work closely with our platform teams as they build the pipelines, components, and APIs we’ll rely on. You’ll write requirements docs and proposals, and engage in synchronous collaboration with the teams building our core data pipelines. You care about being a thoughtful and communicative partner for the platform teams.

 – You have solid, hands-on production experience with Python, SQL, and data transformation concepts. You are comfortable working in Postgres and in modern data warehouses, ideally Databricks.

 – You thrive on cross-functional teams, with access to user research, and think critically about solving problems. You identify quick ways to test hypotheses and break apart complex projects into manageable pieces.

 – You act as an internal customer for our platform teams, providing high-quality feedback that shapes the roadmap and improves the overall product ecosystem.

– You use AI tools effectively, and you’re eager to experiment with new ways of working. You’ll use our tools to evaluate those changes, improving both our workflows and our measurement tools.

Jellyfish is seeking a Senior Software Engineer for Data Products to build high-impact features that solve real customer problems. The role involves leveraging Python, Databricks, and Postgres to develop performant user-facing data products while collaborating closely with platform teams to shape the core data roadmap.

Senior Software Engineer, Data Products

Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world. We're seeking a 

 who's passionate about building and scaling robust data infrastructure, defining integration patterns, and driving technical strategy across large-scale systems. Ideally, you combine deep hands-on expertise with the ability to influence architecture and direction across teams. This is a high-agency role where you'll help shape not just what gets built, but how we build it — and raise the bar for the engineers around you.

Define the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scale.

Drive integrations with third-party tools and establish the standards that make future integrations faster and more reliable

Own our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructure

Architect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalability

Lead the design and implementation of data export pipelines that serve diverse customer needs

Spearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the org

Serve as a technical anchor — leading design reviews, mentoring engineers, and elevating how the team approaches complex problems

Partner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategy

Communicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholders

You have deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end — not just contributing to it

AI - driven developer who dives deep into AI first workflows

Expert Python engineer with strong opinions about how to build reliable, maintainable systems at scale

Designed and led large-scale third-party API integration work, and you know what separates a maintainable integration from a brittle one

Fluent in infrastructure as code (Terraform, CloudFormation, or similar) and think about infrastructure as a product, not an afterthought

Experienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they create

You have production experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural calls

A natural technical leader — you build consensus, unblock others, and make the engineers around you better

You think in systems: you consider user needs, business impact, and long-term maintainability when designing solutions

Exceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audience

You've thrived at a rapidly scaling startup and know how to balance speed with technical rigor

You have hands-on experience with Delta Lake and lakehouse architectures

You've built deep integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) and have strong opinions about how to do it well

You bring strong perspectives on how engineering teams work best — and the tools that help or hurt

Staff / Principal Level

Timezone Match Required

Jellyfish is seeking a Staff Data Engineer to build and scale robust data infrastructure and integration platforms. The role involves defining technical strategy, owning infrastructure as code with Terraform, and architecting workflow orchestration systems using Python and Airflow. This high-agency position focuses on enhancing engineering velocity through AI-driven workflows and scalable data pipelines.

Staff Data Engineer 

 is maturing, and after a year of record growth, we are looking for experienced Strategic AEs to join our team and help us grow our footprint on the West Coast. We are looking for high performing individuals with a strong track record in Strategic Enterprise B2B sales. If you are consistently over-achieving your sales goals and also care deeply about winning as a team, this is for you!

Strategic Account Executive at Jellyfish, focusing on the West Coast. The role involves building B2B pipelines, managing complex technical deal cycles, and partnering with Sales Engineering and Customer Success teams to drive growth for an AI-integrated engineering intelligence platform.

Strategic Account Executive - West Coast  

We are looking for people with a passion for making our customers successful. In this role, you will work directly with a portfolio of new and existing Enterprise customers, helping them get the most out of Jellyfish. Sitting at the intersection of strategy, customer engagement, product, and technology, you will be their main point of contact—guiding, training, and advising leaders to map out high-impact workflows, drive scaled adoption, and leverage Jellyfish to align their organizations with business goals.

Your mission: help us retain every customer as long as possible by driving ongoing success, transforming their biggest operational challenges into durable solutions, and making Jellyfish mission-critical to their operations.

 Build strong, trusted-advisor relationships with key stakeholders and executive sponsors for each assigned enterprise account.

 Create and evolve tailored deployment and success plans for each customer, driving execution throughout their lifecycle to retain, strengthen, and expand relationships.

 Develop and maintain a deep understanding of the Jellyfish platform. Deliver deep-dive product demos, map technical workflows, and identify creative use cases to drive adoption.

 Lead onboarding and training to ensure durable adoption across teams and functions. Facilitate the training of new users as the Jellyfish footprint expands.

 Proactively manage customer relationships. Monitor account health, conduct impactful Executive Business Reviews (EBRs), and act decisively if a customer shows signs of churning.

 Collaborate with Account Executives and Managers to unlock expansion opportunities and drive renewals.

 Act as the first line of technical problem-solving for customers. Partner with Product, Engineering, and Forward Deployed teams on the most complex challenges while independently driving resolution for many customer workflows.

 Experience with post-sales, pre-sales, or deployment strategy managing complex enterprise relationships in fast-paced, high-growth software companies.

 Driven by the success of others, able to clearly and thoughtfully explain product concepts to customers and use cases to internal teams.

 Technical Problem Solving: Able to independently investigate customer challenges, diagnose root causes, leverage AI and automation tools, prototype solutions, and partner with engineering when deeper product changes are required.

 Thrives on change, applies logic to undefined situations, and seeks innovative paths beyond the status quo.

 Proactive, collaborative, and results-driven, able to plan and prioritize multiple moving parts.

 While experience is great, humility, a performance-driven mindset, and a team-player approach are most important to us. We love to win and have fun—a sense of humor is a must.

Customers achieve value fast, and Jellyfish becomes indispensable to their growth and innovation.

Your portfolio maintains stellar retention rates, with natural expansion across enterprise functions.

You’re the strategic bridge connecting Jellyfish customers with product, engineering, and growth teams.

This is all about you—but here’s a bit about us. Jellyfish was founded on one big idea: engineering and modern operations are the core of business. Together with our customers, we’ve built a platform that helps the world's most ambitious organizations rethink how work gets done. We empower engineering leaders to align everyday work with strategic business initiatives and provide unmatched visibility into how organizations really operate.

We are a talent-dense team valuing extreme ownership, high velocity, and low-ego collaboration. We believe a diverse team builds the best company. Jellyfish welcomes people from all backgrounds and especially encourages applicants from groups underrepresented in the software industry.

Jellyfish is seeking a Customer Success Manager to manage a portfolio of Enterprise customers. The role focuses on driving product adoption, conducting Executive Business Reviews, and collaborating cross-functionally to ensure customer retention and growth within their AI-integrated engineering platform.

Customer Success Manager

Jellyfish is the backbone for elite engineering organizations, and our data pipelines need to be as high-performing and reliable as the teams we serve. We are looking for a 

 to join our data platform team and help us execute, automate, and maintain the next generation of our Jellyfish data platform. In this role, you’ll be a core builder—fully autonomous, highly proficient, and responsible for translating architectural blueprints into clean, production-grade pipelines. If you view manual data patches and unmonitored workflows as bugs to be squashed and want to write code that directly impacts how the world’s best engineering leaders measure their output, you’re the perfect fit.

 – You’ll write the clean, modular Python and optimized SQL that drives our daily data transformations. You will be responsible for implementing our Medallion-layer data models (Bronze → Silver → Gold), ensuring high performance and data integrity.

 – You’ll manage and tune our workflow orchestration engines (like Prefect or Dagster). You’ll hunt down slow execution paths, optimize parameter serialization (e.g., leveraging Pydantic v2), and ensure our distributed processing jobs run efficiently.

 – You won't just write data scripts; you'll own your infrastructure deployment. You will use Terraform to manage and provision data warehouse schemas, permissions, and tables across securely isolated staging and production catalogs.

 – You’ll collaborate with product developers to expose data safely. You’ll help implement and maintain the application backend tiers, backend-for-frontend (BFF) layers, and Redis caching structures that protect our core data warehouse from frontend concurrency spikes.

 – You’ll participate in our data platform's incident response rotation. When a pipeline breaks, you won't just fix the data; you’ll refine the Datadog dashboards and alerts to ensure we catch the issue earlier next time.

 – You have solid, hands-on production experience with Python, advanced SQL, and data transformation concepts. You are comfortable building and scheduling workflows using programmatic orchestrators (such as Prefect, Dagster, or Airflow).

 – You know your way around enterprise data platforms (e.g., Snowflake, Databricks, BigQuery). You understand how to navigate environment boundaries, manage access keys securely, and write performant queries.

 – You look at a repeated data backfill, a manual schema fix, or an untracked data quality bug and immediately think about how to script a permanent, automated solution.

 – You love working in a team. You write readable code, value thorough documentation and clear data lineage, and enjoy collaborating with application engineers to solve complex data delivery problems.

 – You know when to write a perfectly optimized distributed processing job and when a simple, well-indexed database table or cached view is the smartest move to keep the business moving.

You’ve worked in a rapidly scaling startup handling complex, multi-tenant B2B SaaS data.

You have experience with data quality testing frameworks (like Great Expectations or Soda).

You’ve interacted with cloud cost allocation tracking or token-level spend for LLM/AI model integrations.

On-call rotation

Jellyfish is seeking a Data Engineer to build and maintain its next-generation data platform. The role involves developing production-grade pipelines using Python and SQL, managing orchestration with tools like Airflow or Dagster, and provisioning infrastructure via Terraform. Key responsibilities include implementing Medallion-layer data models and ensuring pipeline observability with Datadog.

Data Engineer 

Equity

Jellyfish is the backbone for elite engineering organizations, and our data pipelines need to be as high-performing and reliable as the teams we serve. We are looking for a Senior Data Engineer to help us build, automate, and execute the next generation of our Jellyfish data platform. Working closely with our Lead Data Architect, you’ll be responsible for implementing core data models, building production-grade CI/CD for data pipelines, and transforming raw engineering signals into highly optimized analytical layers. If you view broken pipelines and manual data patches as a technical debt to be solved and want to write code that directly impacts how the world’s best engineering leaders measure their output, you’re the perfect fit.

 – You’ll maintain our end-to-end data pipelines, writing clean, modular Python and SQL. You will help translate the architectural blueprint into reality, structuring data across our Medallion layers (Bronze > Silver > Gold) for maximum performance and reliability.

 – You’ll take the lead on migrating, optimizing, and maintaining our workflow orchestration engines. You’ll eliminate pipeline bottlenecks, leverage modern fast-paths (like Pydantic v2 and async database clients), and ensure distributed tasks scale seamlessly without hitting API limits.

 – You’ll build the "paved road" for data deployments. You’ll use Terraform to provision data resources and write automated tests to validate schemas and data quality before code ever hits our isolated staging or production catalogs.

 – You’ll collaborate with product developers to expose data safely. You’ll help design and optimize the application backend tiers, backend-for-frontend (BFF) layers, and Redis caching structures that protect our core data warehouse from frontend concurrency spikes.

 – You’ll participate in the data platform's incident response rotation. You won't just patch a failing pipeline; you’ll build deep observability, refine alerts to reduce noise, and write programmatic fixes to ensure the issue never happens again.

 – You have solid, production-level experience with Python, advanced SQL, and data transformation frameworks (like dbt or PySpark). You are highly comfortable working with programmatic orchestrators (such as Prefect, Dagster, or Airflow).

 – You know your way around enterprise data platforms (e.g., Snowflake, Databricks, BigQuery). You understand how to safely navigate environment boundaries, manage access keys securely, and write performant queries that don't balloon the cloud bill.

You’ve survived (and thrived in) a rapidly scaling startup handling complex, multi-tenant B2B SaaS data.

You have strong opinions on data quality testing frameworks (like Great Expectations or Soda) and data-observability patterns.

You’ve worked extensively with cloud cost allocation or tracked token-level spend for LLM/AI model integrations.

Jellyfish is seeking a Senior Data Engineer to build and automate high-performing data pipelines. You will implement core data models, manage orchestration engines, and automate infrastructure using Python, SQL, dbt, and Terraform. The role involves working with Snowflake, Databricks, and BigQuery to transform engineering signals into optimized analytical layers.

Senior Data Engineer 

Jellyfish is rewriting the manual on how high-performing engineering teams actually work. We don't just provide data; we provide the blueprint for effective communication and development.
We are looking for a 

 who views "manual effort" as a bug. You aren't here to just watch dashboards - you’re here to build the pavement as the jet is taking off. We’re scaling fast, dealing with massive data sets, and we need someone who is obsessed with performance, resilience, and the art of 

 You’ll work hand-in-hand with product teams to lay the infrastructural groundwork for new apps. If it’s repetitive, you’ll automate it. If it’s fragile, you’ll harden it.

 You’ll identify the "friction points" in our dev lifecycle and build the Terraform modules or Python tooling to make them disappear.

 You aren't a gatekeeper; you’re an enabler. You’ll champion sound software design and "paved road" patterns that allow devs to move fast without breaking things.

 Moving us beyond simple alerts to deep introspection. You’ll help us use tools like Honeycomb and Grafana to understand 

Jellyfish is seeking a Senior Platform Engineer to build and automate infrastructure for their AI-integrated engineering intelligence platform. The role focuses on reducing toil, enhancing observability using tools like Grafana and Honeycomb, and scaling AWS environments. Key requirements include proficiency in Python, Linux, and Terraform.

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