Senior Software Engineer, Sinch

Salary not provided

MongoDB

AWS

Docker

Kubernetes

TypeScript

GCP

Java

Kafka

Cassandra

Azure

RabbitMQ

Senior and Expert level

Remote from Spain

More information about location

Cloud communications for businesses

Open for applications

Cloud communications for businesses

1001+ employees

B2BArtificial IntelligenceEnterpriseMarketingCommunicationCustomer serviceSaaSMobileCloud Computing

Open for applications

Salary not provided

MongoDB

AWS

Docker

Kubernetes

TypeScript

GCP

Java

Kafka

Cassandra

Azure

RabbitMQ

Senior and Expert level

Remote from Spain

More information about location

1001+ employees

B2BArtificial IntelligenceEnterpriseMarketingCommunicationCustomer serviceSaaSMobileCloud Computing

Company mission

To bring businesses and people closer through personalised engagement.

Job

Company

Role

Who you are

Production-level experience in backend development using Java and Typescript
Deep understanding of distributed systems and experience building high-scale microservices and event-driven architectures
Strong background in database design and optimization, particularly with MongoDB, Cassandra, or other distributed databases
Experience with observability, logging, and monitoring tools for debugging and performance analysis
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)
A problem-solving mindset with the ability to debug complex distributed systems
Strong communication skills and the ability to work effectively in a collaborative environment

Desirable

Experience with LLM fine-tuning or AI-driven chatbot development
Knowledge of message brokers like Kafka, RabbitMQ,
Hands-on experience with Temporal.io or similar workflow orchestration frameworks

What the job involves

As a Senior Software Engineer - (Java) - Gen AI, you will play a key role in designing and building the next generation of our AI-powered chatbot platform
You will work in a dynamic, collaborative environment to develop scalable distributed systems that power real-time messaging and LLM-based applications
Your contributions will directly impact the efficiency, performance, and safety of AI-driven conversations at scale
Design, develop, and maintain backend services for AI-driven chatbot orchestration
Build high-performance, scalable, and distributed systems for real-time messaging and workflow execution
Work with LLMs (Large Language Models) to enhance bot interactions, ensuring safety, efficiency, and responsiveness
Develop internal tools for monitoring, debugging, and optimizing LLM-based applications at scale
Implement and optimize workflow orchestration using frameworks like Temporal.io
Ensure observability, reliability, and fault tolerance across all services
Collaborate with cross-functional teams including ML engineers, frontend engineers, and product managers
Maintain a strong focus on code quality, security, and best practices in software development

Our take

Over the course of well over a decade, Sinch has grown into an international service helping enterprise companies communicate with their customers over text, in-app video/voice messages, and other mobile channels. Used by Google, Tinder, Uber, and PayPal, among other marquee enterprise companies, most customers will have crossed paths with Sinch.

The company’s rise is due in part to an increased marketing focus on cultivating a highly personalised relationship between customer and brand. In part, too, it’s down to the surge in custom Sinch saw over recent years when more familiar channels of customer/brand communication went down. That seems to have settled now, but personalized messages, over text specifically, continues to play well among younger consumers.

It's going to prove a tough market to navigate going forward, though. Equally well-established competitors like Twilio, 8x8, and Link Mobility Group all have similar offerings. Sinch's foray into conversational AI will help them keep pace, as will their steady march of acquisitions, fundraising to fuel scaling efforts and partnerships with the likes of Salesforce.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

2% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (2 rounds)

Mar 2017

$15.3m

LATE VC

Apr 2016

$1.1m

SEED

Total funding: $16.4m

Company HQ

Stadshagen, Stockholm, Stockholm County

Leadership

Laurinda Pang

(CEO)

Previously President of Global Customer Success and International / Wholesale Markets at Lumen Technologies. Was also Chair of the ITW | Global Leaders' Forum and Independent Director at Acacia Communications.

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