Senior Software Engineer

RECYCLEYE

Stratford +1 more

Who this role is best for

Strong fit for software engineers with cross-stack versatility who thrive in small teams and industrial environments. The role combines real-time systems, AI deployment, and hands-on hardware interaction, requiring adaptability and a willingness to work on-site.

Best fit for

Candidates with 8+ years of commercial software experience and a track record of delivering end-to-end solutions
— “8+ years commercial software engineering experience - you have shipped and supported production systems”
Developers with a strong command of Linux systems and comfort using the command line
— “Strong Linux fundamentals (or a desire to learn) and comfort on the command line”
Individuals who are comfortable working in small, self-directed teams and making pragmatic trade-offs
— “Proven ability to work effectively in a very small team - self-directing, pragmatic about trade-offs”

Things to consider

Travel to operational industrial sites is expected, which may involve occasional site visits to MRFs
— “Occasional UK site visits to MRFs”
The role involves hands-on hardware work, which may not suit strictly software-focused candidates
— “Hands-on work - occasional hands-on work with conveyors, robotic pickers and air-jet ejection hardware”

How to stand out

Emphasize end-to-end ownership of systems in your resume and interview examples
— “You'll own problems end to end - from kernel-level performance tuning to the web dashboard”
Highlight experience with real-time or latency-sensitive systems and Go or Python
— “Experience with at least two or three of: Go, GStreamer, Azure (or AWS/GCP), Python, real-time or latency-sensitive systems”
Showcase your ability to debug and optimize video pipelines using GStreamer
— “building, debugging and optimising GStreamer pipelines”
Demonstrate familiarity with cloud infrastructure deployment on Azure
— “Cloud infrastructure on Azure - VMs, container apps, deployment, networking, storage, monitoring”
Include examples of working in small teams with minimal oversight
— “Recent experience taking your own work from design through to production, and the self-direction to deliver it with minimal oversight”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

owning problems end to end
shipping and supporting production systems
working effectively in a small team

Typical background

8+ years of commercial software engineering experience

Skills & requirements

Required

Software EngineeringGoPythonLinuxReal-time SystemsCloud InfrastructureVideo ProcessingSystem Administration

Preferred

Industrial SystemsEmbedded SystemsMachine VisionDatabases

Stack & domain

GoGstreamerPythonAzureLinuxAnsibleTailscalePostgreSQLClickhouseReal-time Data ProcessingVideo ProcessingCloud InfrastructureLow-latency ServicesOperator InterfacesGraphical InterfacesIndustrial Touchscreen HMIConveyorsRobotic PickersAir-jet Ejection HardwareSelf-directionPragmatismTrade-offsDeadline PressureHands-on WorkProblem-solvingTeamworkCommunicationStakeholder ManagementWaste SortingMaterial Recovery Facilities (mrfs)AIRoboticsOptical SortersEmbedded SystemsPlcsFieldbus ProtocolsMachine VisionComputer VisionML Inference Deployment

About the role

Original posting from RECYCLEYE via Greenhouse

A little bit about us  
At Recycleye we are revolutionising Recycling. Our ground-breaking AI powers robots and optical sorters making waste sorting faster, cleaner and more profitable. With our advanced tech, the previously unsortable can now be sorted efficiently and effectively. Founded in 2019, we have grown rapidly ever since, with installations at leading waste management companies across Europe and the US. We are on a mission to help our clients produce higher quality outputs – turning the world’s waste into valuable resource. And our work has never been needed more. Worldwide only 9% of plastic waste is being recycled – every day, we are proud to work on making a meaningful difference towards a sustainable future.
About the Role
Part of a larger product team we're a small software group building the software control systems for waste separation systems deployed in Material Recovery Facilities (MRFs). Our stack spans low-latency Go services, GStreamer video pipelines, real-time Python data processing, Azure infrastructure, Linux systems and Python web applications. We're looking for a developer skilled in either Python or Go who is comfortable working on the entire stack even when that means learning new things.
You'll own problems end to end - from kernel-level performance tuning to the web dashboard a client uses, to the operator interface of our industrial units. Priorities change, deadlines are often tight but the work is varied and always interesting.
What You'll Work On
Low-latency services in Go - real-time data and control paths that minimise latency and jitter.
Video processing - building, debugging and optimising GStreamer pipelines; camera integration, encoding/decoding, streaming and capture.
Cloud infrastructure on Azure - VMs, container apps, deployment, networking, storage, monitoring.
Linux sysops - provisioning and maintaining edge Linux machines: networking, systemd, containers, performance tuning, remote access and recovery. We use Ansible, Tailscale
Python - internal tools, operator interfaces, APIs and data pipelines.
Hands-on work - occasional hands-on work with conveyors, robotic pickers and air-jet ejection hardware.
Graphical Interfaces - Industrial touchscreen HMI.
What We're Looking For
8+ years commercial software engineering experience - you have shipped and supported production systems.
Recent experience taking your own work from design through to production, and the self-direction to deliver it with minimal oversight.
You are happy to learn whatever is required to tackle varied technical problems, often beyond the scope of traditional software roles.
Strong Linux fundamentals (or a desire to learn) and comfort on the command line.
Experience with at least two or three of: Go, GStreamer, Azure (or AWS/GCP), Python, real-time or latency-sensitive systems.
Proven ability to work effectively in a very small team - self-directing, pragmatic about trade-offs, and able to deliver under deadline pressure without disappearing down rabbit holes.
Willing and able to travel to operational industrial sites and get hands-on with physical equipment.
Right to work in the UK.
Nice to Have
Experience with industrial or embedded systems, PLCs, fieldbus protocols or machine vision.
Understanding of electronics; Microcontrollers, PCBs.
Computer vision / ML inference deployment at the edge.
Experience with databases, relational and columnar. We use Postgresql and Clickhouse.
An ability to problem solve under pressure when providing second-line support.
Opinionated about how the team works; Our processes, planning and tools.
What We Offer
Day 1 health insurance through Vitality
Unlimited holiday
£1000 professional development budget per year
Direct influence over technical direction.
Work on a product with a tangible physical output. It is satisfying to see your code sorting material on a live plant floor.
Practicalities
Occasional UK site visits to MRFs.
Support rota but not 24/7 and never client facing.

Source: RECYCLEYE careers (Greenhouse)