Principal Software Engineer

Sinch

. Work across five Agentic Orchestration teams of roughly 35 engineers in Spain, Belgium, Sweden, Germany, and Brazil .

Posted 11/5/2026full-timeMadrid • SpainLead💰 €90,000 - €130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software architecture and engineering principles, with a strong focus on building and leading distributed systems. Proficient in conversational AI and agent orchestration, leveraging advanced programming skills and effective communication across diverse teams.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceExpertise in Java or JVM LanguagesConversational AI DevelopmentExperience with Temporal or Workflow Orchestration PlatformsStrong Visual Thinking and Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureDistributed SystemsPair ProgrammingAI-Based Development ToolsComplex Systems UnderstandingProgramming LanguagesEvent-Driven ArchitecturesDomain-Driven DesignArchitecture Decision RecordsC4-Style Modelling

Soft Skills

Influencing Without AuthorityClear Communication

Tools & Technologies

Agentic Orchestration PlatformChatlayer Agent BuilderContext StoreAWSGCP

Industry Keywords

Conversational AILLM-Based AgentsMessaging PlatformsVoice Communication PlatformsCloud-Native Infrastructure

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJava

About the role

Key responsibilities & impact

Work across five Agentic Orchestration teams of roughly 35 engineers in Spain, Belgium, Sweden, Germany, and Brazil
Report to the Engineering Lead for the domain
Spend about half the time writing code, mostly paired with engineers in their codebases
Own the domain's architecture, including boundaries, contracts, data flows, and architectural decisions
Record architectural decisions and their trade-offs
Lead cross-domain initiatives with principal engineers and architects across Sinch
Set direction for agentic engineering principles and practices and lead their adoption
Make and explain technical trade-offs under uncertainty
Create diagrams, models, and narratives for shared understanding
Coach tech leads and senior engineers and raise design-discussion quality
Build conversational AI and agentic capabilities, including AI agents, reusable intelligence and ML capabilities, the Agentic Orchestration Platform, Chatlayer agent builder, and Context Store

Requirements

What you’ll need

10+ years building software, including significant time as a principal, staff, or architect-level engineer on distributed production systems
Demonstrated commitment to engineering principles that keep a system coherent and of high quality, and a record of getting teams to adopt them
Extensive pair or mob programming, and the belief that it is a primary way to design and build software, not an occasional practice
Active, hands-on use of AI-based development tools (coding agents, LLM-assisted workflows) and an experimental mindset about where they help and where they don't
Deep understanding of complexity and complex systems: emergent behaviour, feedback loops, coupling, and how sociotechnical structure shapes architecture
Sound judgment on tradeoffs in uncertain environments, and the ability to explain the reasoning to both engineers and non-engineers
Strong visual thinker: you use diagrams and models to build shared understanding across engineers, stakeholders, and everyone involved in making the software
Deep expertise in at least two programming languages, ideally including Java or another JVM language; ability to become productive in unfamiliar languages quickly
Strong understanding of how LLMs and agents work, and how to design reliable systems around them
Able to influence without authority across teams, domains, and seniority levels
Clear communicator in English
Experience with Temporal or similar workflow orchestration platforms
Experience building conversational AI, LLM-based agents, or agent orchestration systems
Experience with messaging, voice, or other communications platforms at scale
Familiarity with event-driven architectures and cloud-native infrastructure on AWS or GCP
Experience with platform consolidation or migration across several products
Experience with domain-driven design, architecture decision records, or C4-style modelling