Distributed systems testing software engineer, python / go Work, Jobs in Remote (with Salaries)

Lead AI Engineer (Agentic Systems)
StarCompliance —Remote
- Full-time
- Remote
- Software development
- AI
Quick apply
Principal Backend Engineer
SchemeServe —Remote
- £60,000 - £65,000 a year
- Full-time
- Remote
- Azure
- Mentoring
- Communication skills
Senior Backend Engineer - Databases - Loki Query | UK | Remote
Grafana Labs —Remote
- £91,000 - £114,000 a year
- Remote
- Communication skills
- Annual leave
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Remote
- Full-time
- Remote
- Master's degree
- AI
- Annual leave
Staff Platform Engineer, Infrastructure - Core UK & Ireland
Fanatics Betting & Gaming —Remote
- £111,100 - £151,200 a year
- Full-time
- Remote
- Mentoring
- Communication skills
Quick apply
Senior Backend Engineer
GitLab —Remote
- Full-time
- Remote
- Mentoring
- AI
- Communication skills
- Employee stock purchase plan
- Annual leave
5h
Senior Platform Engineer - Platform Metal | UK | Remote
Grafana Labs —Remote
- £91,755 - £110,106 a year
- Remote
- Annual leave
9d
Senior Consultant, Web Application Pen Testing
Google —Remote
- £88,000 - £116,000 a year
- Remote
- Computer Science
- Bachelor's degree
- No degree
3d
Senior Software Engineer, Firefox Security
Mozilla —Remote
- £66,000 - £87,000 a year
- Remote
- Software troubleshooting
- Communication skills
- Employee assistance programme
- Referral programme
Lead Software Engineer (Remote, United Kingdom)
Live Nation —Remote
- Full-time
- Remote
- Software troubleshooting
- Team management
- Agile
Platform Quality Engineer (SDET)
StarCompliance —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
Quick apply
Principal Software Engineering Manager
GitHub, Inc. —Remote
- £111,500 - £207,100 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering
Senior Backend Engineer - Databases Pyroscope | UK | Remote
Grafana Labs —Remote
- £91,755 - £110,106 a year
- Remote
- Master's degree
- AI
- Annual leave
Senior Backend Engineer, Deployment Environments
GitLab —Remote
- Full-time
- Remote
- Employee stock purchase plan
- Annual leave
Principal OT Engineer
ITI Group —Remote
- Full-time
- Remote
- Team management
- Scripting
- Annual leave
- Employee assistance programme
Head of Quality Engineering (Remote - Work from Anywhere)
Xapo Bank —Remote
- Full-time
- Remote
- Master's degree
- Quality control
- AI
- Annual leave
Quick apply
Agentic Lead Engineer (human)
CopeCart GmbH —Remote
- Remote
- AI
- Flexible schedule
Quick apply
UX Designer
GraphAware —Remote
- Full-time
- Master's degree
- Bachelor's degree
- Agile
Quick apply
L3 SOC Analyst
Saviynt —Remote
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- Mentoring
Engineer II, Site Reliability (Remote, GBR)
CrowdStrike —Remote
- Full-time
- Remote
- Computer Science
- Analysis skills
- Bachelor's degree
17h

I want to receive the latest job alerts for distributed systems testing software engineer, python / go in remote

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Lead AI Engineer (Agentic Systems)

StarCompliance -
Remote

Quick apply

Job details

Full-time

Qualifications

CI/CD
Bootstrap
Software development operations experience
CI/CD pipelines
Distributed systems
Software development
AI
Software development or architecture experience

Full job description

Senior AI Engineer (Agentic Systems)

UK Based

Role

At StarCompliance, we build software that supports critical compliance needs for global clients. We are now embedding AI as a core capability across the entire software development lifecycle.

We are seeking a Lead AI Engineer to lead the practical adoption and scaling of AI-assisted and agentic engineering across our teams.

This is not a research or experimentation role. You will work hands-on within real codebases, using modern AI-native development environments (Cursor preferred) to fundamentally change how software is built, tested, and delivered. Your focus is to turn AI from a tool into a system. Repeatable, scalable, and embedded.

You will define and implement playbooks, patterns, and workflows that enable teams to operate with parallel AI agents, autonomous code review, and AI-driven delivery pipelines. You will also help bootstrap new initiatives, ensuring they start with the right architecture, tooling, and AI-enabled engineering practices from day one.

This role sits within R&D Engineering and partners closely with Platform, QA, and Product Engineering. Influence is earned through delivery, not hierarchy.

How We Think About AI

AI is not an assistant. It is part of the engineering system. We expect engineers in this role to:

Embed AI directly into development workflows, not use it as a separate tool

Design repeatable, production-grade AI workflows, not one-off prompts
- Leverage agentic patterns such as multi-step execution, tool chaining, and parallelization
- Apply AI across the lifecycle: coding, testing, review, and delivery
- Balance speed with control, operating safely within a regulated SaaS environment
- Deliver measurable improvements in throughput, quality, and developer experience

Responsibilities

Design and implement scalable AI-assisted engineering workflows across teams

Establish playbooks, standards, and best practices for agentic development

Build and operationalize:

Task-specific agents (e.g. test generation, refactoring, code analysis)

Reusable skills, templates, and workflows

Multi-agent and parallel execution patterns

Integrate AI into CI/CD pipelines (Azure DevOps preferred), including:

Autonomous or assisted code review

AI-driven test generation and maintenance

Code quality and compliance checks

Implement automation triggers and hooks to embed AI into the delivery lifecycle

Work directly within codebases to accelerate delivery and improve quality

Enable and upskill engineering teams through practical guidance, examples, and training

Bootstrap new projects with AI-first engineering practices and tooling

Rapidly prototype and validate new approaches, focusing on real delivery impact

Ensure all AI-enabled workflows are robust, observable, and production-safe

Skills and Experience

Core Engineering

Strong software engineering background (ideally C# / .NET) in cloud-based SaaS environments

Experience building and operating distributed systems

Strong understanding of APIs, system design, and modern development practices

Experience with CI/CD pipelines (Azure DevOps preferred)

AI & Agentic Engineering

Hands-on experience using AI within real development workflows (not standalone tools)

Deep familiarity with AI-native IDEs (Cursor preferred, or similar)

Proven experience designing structured AI workflows, including:

Reusable prompts, skills, or templates

Multi-step or agent-based execution patterns

Tool integration and workflow orchestration

Experience integrating AI into engineering systems, such as:

CI/CD pipelines

PR validation and automation

Developer tooling

Practical application of AI to:

Test generation and maintenance

Code analysis, refactoring, and quality improvement

Developer productivity at scale

Delivery & Problem Solving

Track record of delivering production-grade solutions, not just prototypes

Experience enabling other engineers or teams to adopt new technologies at scale

Strong problem-solving skills in complex, evolving environments

Ability to define patterns where none exist and make them usable by others

Important Clarification

Experience limited to prompt-based tools used in isolation is not sufficient.

We are looking for engineers who have embedded AI into real engineering systems and workflows and have scaled those practices across team

Minimum Qualifications

Software engineering experience in cloud-based SaaS environments

Experience designing and evolving enterprise-scale distributed systems

Demonstrated impact in improving engineering delivery or developer productivity

Practical experience applying AI within professional engineering workflows

Experience working within enterprise SaaS platforms

Right to work in the country of employment

Integrity and Ethics

All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick apply

Refine Your Search

distributed systems testing software engineer, python / go jobs in remote

Lead AI Engineer (Agentic Systems)

Principal Backend Engineer

Senior Backend Engineer - Databases - Loki Query | UK | Remote

Senior Software Engineer - Machine Learning (f/m/d)

Staff Platform Engineer, Infrastructure - Core UK & Ireland

Senior Backend Engineer

Senior Platform Engineer - Platform Metal | UK | Remote

Senior Consultant, Web Application Pen Testing

Senior Software Engineer, Firefox Security

Lead Software Engineer (Remote, United Kingdom)

Platform Quality Engineer (SDET)

Principal Software Engineering Manager

Senior Backend Engineer - Databases Pyroscope | UK | Remote

Senior Backend Engineer, Deployment Environments

Principal OT Engineer

Head of Quality Engineering (Remote - Work from Anywhere)

Agentic Lead Engineer (human)

UX Designer

L3 SOC Analyst

Engineer II, Site Reliability (Remote, GBR)

I want to receive the latest job alerts for distributed systems testing software engineer, python / go in remote

Related Searches

Explore jobs in more locations

Responsibilities

Skills and Experience

Minimum Qualifications

Integrity and Ethics

Jobseeker tools

Employer Tools

Browse

Stay Connected