Lead Software Engineer - Analytics & Reporting

Athenaworks; Bogotá ciudad; Presencial; COP 373.680.000 - 560.521.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Payment in USD

Flexible schedule

Non-Working Pay Days Policy

Learning Budget

Opportunity to influence industry

Descripción de la vacante

Athenaworks is seeking a Lead Software Engineer for Analytics & Reporting to lead a six-engineer App team and deliver customer-facing data APIs and analytics features. You will partner with product, design, and data engineering, while remaining hands-on for architecture and reviews.

You will shape the Analytics product, drive data pipelines migration, and modernize the backend stack toward Kotlin with Kubernetes on AWS. Excellent English and cross-team collaboration are required.

Formación

• 7+ years of software engineering with deep JVM backend expertise (Kotlin preferred).
• 2+ years leading an engineering team with people responsibilities while staying hands-on.
• Experience designing, operating, and evolving microservices in production (Kubernetes, AWS, observability, SLOs, incident management).
• Strong SQL and analytical data modeling skills; own datasets behind customer reports.
• Experience designing RESTful architectures serving external customers at scale.
• Frontend fluency (React, TypeScript) to lead frontend engineers.
• Experience navigating legacy systems and migrations toward modernization.
• Professional working English and collaboration across a remote, distributed organization.

Responsabilidades

• Customer-facing data APIs — public APIs for enterprise customers and backend microservices.
• The Analytics product — frontend, filtering, and APIs powering custom reports.
• Customer reporting — QuickSight reports and gold-layer datasets feeding them.
• Production ownership — deploy, operate, observe, and manage on-call rotation.
• The team — hiring, growth, delivery, and engineering culture.

Conocimientos

Senior backend

Team leadership

Kotlin

REST APIs

SQL & data modeling

React/TypeScript

English proficiency

Herramientas

Kubernetes

AWS

Spring Boot

PostgreSQL

React

TypeScript

Descripción del empleo

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.

If this resonates with you, we encourage you to apply for the role of Lead Software Engineer - Analytics & Reporting. We’re seeking exceptional talent to work on immersive client projects that will challenge and hone your skills.

• 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.

Benefits

• 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.