Senior Software Engineer

Arkham Technologies · Remote · Mexico only

Mexico onlySeniorPublished 21 October 2025Ghost risk: high

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First recorded by Psst: 4 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Senior
Where you can live
Mexico only
Skills and tools
python, node.js, ci/cd, machine learning, async
Job type
Full-time

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Job details

Where you can work
Mexico
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
21 October 2025
First recorded by Psst
4 November 2026
Last checked at the source
4 November 2026

About the job

Senior Software Engineer (Backend)

About Arkham

Arkham is a Data & AI Platform—a suite of powerful tools designed to help you unify your data and use the best Machine Learning and Generative AI models to solve your most complex operational challenges.

Today, industry leaders like Circle K, Mexico Infrastructure Partners, and Televisa Editorial rely on our platform to simplify access to data and insights, automate complex processes, and optimize operations. With our platform and implementation service, our customers save time, reduce costs, and build a strong foundation for lasting Data and AI transformation.

About the Role

We're looking for a Senior Software Engineer with a strong backend focus to help us design and build the core platform services that power Arkham’s AI Operating System. This role is ideal for engineers who enjoy working on high-performance systems, solving complex distributed challenges, and creating scalable microservices architectures that enable fast and secure data and AI workflows.

You'll play a key role in designing systems that handle large-scale data processing, support real-time event-driven communication, and enable mission-critical AI and analytics workloads for our customers. This is a hands-on, high-impact position that blends technical depth with product thinking.

Key Responsibilities

  • Architect Scalable Systems – Design and implement modular microservices using best practices in domain-driven design, scalability, and fault tolerance.
  • Work with Event-Driven Architectures – Build and optimize Kafka-based workflows for asynchronous, decoupled service communication.
  • Own Critical Backend Services – Develop robust APIs and backend systems using Python (primary) and Node.js (optional), with a strong focus on performance and resilience.
  • Ensure Observability & Reliability – Implement monitoring, logging, and alerting strategies using tools like Prometheus, Grafana, and OpenTelemetry, ensuring systems are both observable and maintainable.
  • Collaborate Across Teams – Work closely with data engineers, analytics engineers, and ML teams to design secure, efficient APIs and integrate services across the platform.
  • Champion Best Practices – Contribute to our CI/CD pipelines, advocate for secure coding practices (OAuth2, RBAC, data encryption), and help evolve our engineering culture and standards.

Requirements

What We’re Looking For

  • Experience: 5+ years building and maintaining production-grade backend systems.
  • Technical Skills:
  • Strong knowledge of microservices architecture, distributed systems, and API design.
  • Proficient in Python (required), with experience in Node.js as a bonus.
  • Hands-on experience with Kafka, including consumer groups, message delivery semantics, and DLQ strategies.
  • Solid understanding of relational databases, query optimization, and transactional integrity.
  • Familiar with concurrency models, async processing, and non-blocking I/O patterns.
  • DevOps & CI/CD: Experience with GitHub Actions, blue-green/canary deployments, and infrastructure observability.
  • Security Awareness: Knowledge of OAuth2/OpenID, fine-grained access controls (e.g., using OpenFGA), and data protection practices like encryption and tokenization.
  • Team Player: Excellent communication skills and a strong desire to work closely with cross-functional teams.

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  • Open over a year (380 days)
  • No pay listed
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