Senior Software Engineer

Thomson Reuters

Senior Software Engineer building Thomson Reuters’ distributed Customer Files Orchestration Service. Scaling document upload, extraction, embedding, and indexing for CoCounsel Legal.

Posted 9/2/2026full-timeMexico City • 🇲🇽 MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating distributed systems, with a strong focus on orchestration, API design, and production-level Python development. Proven ability to manage complex system interactions, ensure reliability, and mentor engineering teams.

Highest-signal resume keywords

AWS ExperienceProduction Python DevelopmentKubernetes ManagementAPI Design and VersioningConcurrency and Asynchronous Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Systems DesignFile OrchestrationConcurrency ManagementEvent-Driven ArchitectureObservability and MonitoringCI/CD PracticesTesting and Code ReviewRate LimitingBackpressure HandlingDocument Management Systems

Soft Skills

Clear CommunicationMentoring and Leadership

Tools & Technologies

KubernetesPythonAWSKafkaSQSTemporalStep Functions

Industry Keywords

Legal Industry ExposureDocument Management SystemsData Pipeline ExperienceConcurrency ModelsTeam Topologies

Tech Stack

Tools & technologies

AWSDistributed SystemsKafkaKubernetesPython

About the role

Key responsibilities & impact

Build and operate the Customer Files Orchestration Service end-to-end
Orchestrate customer document upload, storage, extraction, embedding, and indexing
Design, implement, test, deploy, scale, and operate distributed systems handling millions of files
Own meaningful parts of the orchestration service from ambiguous problem definition through design, ADR, implementation, release, and operation
Make decisions about consistency, delivery guarantees, idempotency, leases, heartbeats, crash recovery, and compare-and-swap state transitions
Build fair queuing, rate limiting, backpressure, circuit breaking, dead-letter handling, and autoscaling systems
Design and maintain versioned, documented, backward-compatible file and workspace APIs
Anticipate and prevent concurrency and load-related failure modes
Participate in primary on-call rotation, lead incident response, and drive post-mortems
Instrument and trace systems to diagnose downstream notification and file-location issues
Automate recurring manual fixes and improve runbooks
Mentor engineers through code and design reviews
Partner with storage, extraction, indexing, connectors, and front-end teams
Perform system design, development, and operations without a separate DevOps function
Communicate technical trade-offs, throughput implications, correctness costs, and deadline risks to product partners and the team

Requirements

What you’ll need

Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years building production software
Track record of owning significant components in systems real customers depend on
Extensive AWS and production Python experience
Production experience with Python concurrency and asyncio
Understanding of the Python GIL
Experience debugging fire-and-forget tasks, blocking event-loop work, semaphores, pools, and background task state races
Kubernetes in production, including KEDA, scaler tuning, resource requests, and debugging production failure modes
Large-scale orchestration or data pipeline experience across service boundaries
Understanding and production experience with consistency models
Understanding of at-least-once versus exactly-once delivery and idempotency
Practical experience with queues, fair queuing, rate limiting, backpressure, multi-tenant fairness, and noisy-neighbor isolation
API design experience with versioned contracts, clear ownership, and backward compatibility
Real operational ownership, including carrying the pager and debugging production incidents
Strong engineering fundamentals including testing, code review, observability, CI/CD, and infrastructure-as-code
Clear written and verbal communication
Preferred: document management systems, extraction, OCR, format handling, very large files, and third-party DMS integrations
Preferred: event-driven architectures, streaming, Kafka/MSK, SQS, and event-driven autoscaling
Preferred: durable workflow engines such as Temporal or Step Functions
Preferred: retrieval, embedding, or indexing pipelines for LLM or agentic applications
Prior legal-industry exposure is a bonus
Familiarity with Team Topologies vocabulary and concepts

Benefits

Comp & perks

Flexible hybrid working environment for office-based roles
Flexible work arrangements, including work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to participate in pro-bono consulting projects and ESG initiatives
Career development, continuous learning, skills development, Grow My Way programming, and skills-first development support
Inclusive and belonging-focused culture
Work-life balance support
Reasonable accommodations for qualified individuals with disabilities and sincerely held religious beliefs