Senior Software Engineer, AI

Synack, Inc.

Senior Software Engineer (AI) leading AI-centric systems for cybersecurity at Synack. Designing scalable software and mentoring junior engineers.

Posted 7/14/2026full-timeRemote • 🇬🇧 United KingdomSenior💰 £150,000 - £180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable AI-centric software systems, with a strong focus on backend engineering, microservices architecture, and AI technologies. Proven ability to lead technical discussions, mentor junior engineers, and collaborate effectively across teams to integrate AI capabilities.

Highest-signal resume keywords

AI TechnologiesGolangPythonMicroservicesDocker

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Distributed SystemsBackend Software EngineeringToken Usage OptimizationLLM Cost OptimizationREST API DesignGRPCUnit TestingBDD TestingNoSQLRDBMS

Soft Skills

Excellent CommunicationCollaborationMentorship

Tools & Technologies

Google PubSubKafkaDockerKubernetesCloud Environments

Industry Keywords

AgileSDLCDomain Driven DesignAsynchronous Messaging

Tech Stack

Tools & technologies

CloudDockerGoGoogle Cloud PlatformGRPCKafkaKubernetesMicroservicesNoSQLPythonRDBMSSDLC

About the role

Key responsibilities & impact

Design, implement and deliver scalable AI-centric software systems.
Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence.
Own and drive the end-to-end development of product features from ideation to production deployment and monitoring.
Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes.
Lead technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities.
Provide mentorship and support to junior engineers, encouraging professional growth and development.
Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.

Requirements

What you’ll need

7+ years of experience in distributed-systems and backend software engineering.
Experience with AI technologies, e.g. LLMs, RAG, MCP, etc.
Excellent grasp of token usage optimization and LLM cost optimization techniques.
Expert knowledge of golang (4+ years) and solid hands-on experience with Python.
Strong experience and understanding of microservices, REST API design, gRPC, writing unit testing, BDD testing.
Strong design skills required – UML is a bonus; exposure to Domain Driven Design desirable.
Experience with asynchronous messaging technologies such as Google PubSub, Kafka.
In depth knowledge of NoSQL and RDBMS technologies.
Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred).
Experience working on agile teams.
Excellent communication and collaboration skills in all mediums.
Experience working on and scaling a microservice-based application.
A proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.

Benefits

Comp & perks

The compensation package for this position may also include equity, and benefits.