Lead Software Engineer - Analytics & Reporting

AthenaWorks LLC; México; Remote; MXN 1.846.000 - 2.770.000; Vollzeit

Benefits dieser Stelle

Payment in USD

Flexible work schedule

Non-Working Pay Days Policy

Learning Budget

Opportunity to influence industry

Zusammenfassung

Athenaworks in Mexico is seeking a Lead Software Engineer for Analytics & Reporting to lead the App team (6 engineers) and partner with product and design to deliver data-driven customer insights. You will own customer-facing data APIs, analytics product, and reporting, while modernizing backend with Kotlin, Kubernetes on AWS, and a focus on reliability and observability.

This is a hands-on leadership role with 20–30% coding, hiring, and shaping engineering culture in a fully remote distributed

Qualifikationen

• 7+ years of software engineering experience on the JVM stack.
• 2+ years leading an engineering team with hiring and performance responsibilities.
• Experience with microservices in production on Kubernetes and AWS.
• Strong SQL and data modeling skills for customer reports.

Aufgaben

• Lead and grow the App team (6 engineers) and collaborate with PMs, Designer, UX Researcher.
• Own customer-facing data APIs and analytics reports.
• Migrate data pipelines from monolith to Data Engineering stack.
• Architectural reviews and 20–30% hands-on coding.

Kenntnisse

Kotlin

Spring Boot

PostgreSQL

REST APIs

React

TypeScript

Leadership

Cloud AWS

Kubernetes

Observability

Tools

Databricks

Snowflake

Redshift

QuickSight

Git

Jobbeschreibung

Lead Software Engineer - Analytics & Reporting

Job Description Join Us to Shape the Digital World. We’re passionate about delivering cutting-edge technology to some of the world’s top startups and companies, powered by diverse and empowered teams of technologists eager to drive change.

As a fairness-driven organization, we are committed to creating a safe and inclusive environment where everyone, regardless of background, is treated with respect and equity.

We value people with strong technical skills who are collaborative, curious, results-driven, and take ownership. We embrace people who want to be themselves, enjoy daily flexibility, and are eager to grow, learn, and make a difference wherever the opportunity arises.

* Advanced English language proficiency is required for the role.

Job Summary

We're splitting our Analytics & Reporting group into two focused teams: a Data Engineering team that owns data acquisition and the company-wide data platform, and an **App team** that owns everything our customers touch — the data-serving APIs, the Analytics section of the client platform.

We're hiring the lead for the App team. You'll be a **player-coach**: you'll manage and grow a team of six engineers (3 backend, 2 frontend, 1 QA), partner daily with two Product Managers, a Designer, and a UX Researcher, and stay meaningfully hands‑on — roughly 20–30% of your time in architecture, code reviews, and code. You'll work as a peer to the Lead Data Engineer, with a close, explicit contract between your team's customer‑facing products and the data platform that feeds them.

This is a role for someone who has led before and still loves to build.

What you'll own

• **Customer-facing data APIs** — the public APIs enterprise customers use to access their data, and the microservices behind them.
• **The Analytics product** — the Analytics section of the client platform, including its frontend, filtering experience, and the APIs powering custom reports.
• **Customer reporting** — the QuickSight reports our customers rely on, and the gold-layer datasets that feed them. Your team owns its data models end‑to‑end, built on the self‑serve platform the Data Engineering team provides.
• **Production** — you build it, you run it. Your team deploys and operates its own services (Kubernetes on AWS), owns its observability and SLOs, and runs its own on‑call rotation. You lead the incident process.
• **The team** — hiring, growth, 1:1s, delivery, and the engineering culture of a newly formed team. With one QA engineer among six, you'll make quality everyone's job.

What you'll do in your first year

• Stand up the App team as a healthy, autonomous unit: clear ownership, sustainable delivery cadence, and strong working relationships with Product, Design, and the Data Engineering team.
• Co‑own, from the application side, the in‑flight migration of data pipelines out of our monolith and into the Data Engineering stack — your backend engineers keep those pipelines running and hand them over cleanly, so your team can focus fully on APIs and product.
• Drive the modernization of our backend estate: the stack is consolidating on **Kotlin**, and legacy Groovy and Scala services need a pragmatic path forward.
• Shape the next chapter of Analytics: AI‑assisted insights in the product, and exposing your team's data and APIs for consumption by AI agents through the company’s data gateways.

Technical Skills (Must haves):

• 7+ years of software engineering experience, with deep backend expertise on the JVM — **Kotlin strongly preferred** (our stack: Kotlin, Spring Boot, Postgres).
• 2+ years leading an engineering team with genuine people responsibility — hiring, 1:1s, performance, and delivery — while staying hands‑on.
• Experience designing, operating, and evolving microservices in production: Kubernetes, AWS, observability, SLOs, and incident management. You've run an on‑call rotation, not just been on one.
• Strong SQL and analytical data modeling skills — your team owns the datasets behind customer reports, and you can reason about them credibly.
• Experience with RESTful, service‑oriented architectures serving external customers at scale.
• Enough frontend fluency (React, TypeScript) to lead frontend engineers well — you review their thinking, not their semicolons.
• Experience navigating legacy systems and migrations — you can modernize without stopping the world.
• Professional working English (read, write, speak) and comfort collaborating across a remote, distributed organization.

Nice to have:

• Experience with Groovy, Scala, or Python — the languages of our existing services.
• Experience with BI tooling (Amazon QuickSight or similar) and data warehouse platforms (Databricks, Snowflake, Redshift).
• Experience building LLM-powered product features or exposing data/APIs to AI agents.

A happy team makes all the difference. That’s why we offer:

Payment in USD

A truly flexible work schedule

A Non-Working Pay Days Policy

Learning Budget

An opportunity for you to help create change in the industry

And more!

Athenaworks is an inclusive and safe organization that values your technical skills, work experience, collaboration abilities, and potential to grow in your career. We proudly welcome self‑taught individuals, as we focus solely on your ability to deliver exceptional work. We will never consider any irrelevant personal or professional aspects of your life.