CrawlJobs Logo

Staff Platform Engineer

United Kingdom, London · Job Posted February 08, 2026
Apply Position
Job Link Share

Job Description

The Local DevEx team within the Foundations group empowers engineers to develop, test, and ship high-quality services quickly and confidently. We own and evolve the local developer experience across the DoorDash group of companies via a paved-path DevContainers-based development platform for engineers & agentic workflows, with related IDE tooling. The team’s mission is to enable engineers across the engineering pillars of Quality, Velocity and Efficiency by building framework-level tooling and developer flows that scale across the company. As a Staff Platform Engineer, you will be recognised as an expert in at least one relevant technical area and be responsible for solutions that deliver group-level (multiple team) outcomes. You will lead technical direction for at least 1 team, remove deep technical blockers across teams, and mentor other engineers. You will report to senior managers and as leads for the group, work together to deliver wide impact.

Job Responsibility

  • Define and own the technical architecture for local and remote dev flows: including devcontainers, IDE remote backends, and build seamless integration points into our engineering ecosystem
  • Design and continuously improve the paved-path developer journeys: time-to-first-change, onboarding flows (MSC distribution, Tailscale setup), IDE remote flows, and UX for day-to-day developer tasks. Instrument and iterate based on developer metrics and feedback
  • Own the integration strategy for remote execution (BuildBuddy or equivalent), accelerate development on the company monorepo (Pedregal). Define caching/invalidation approaches and CI/remote-exec interactions to keep developer loops fast and predictable
  • Forecasting and managing project timelines and risks, and setting a sustainable and incremental team pace
  • Align non-adjacent teams and disciplines (including Product, Security, Core Infrastructure and Product Engineering) to resolve unstructured and ambiguous challenges
  • Mentor senior and mid-level engineers, run technical design reviews, and raise the engineering bar through code reviews and architectural guidance
  • Lead engineering interviews and help set the bar for hiring. Help onboard senior engineers and contribute to interview loops and hiring decisions

Requirements

  • Recognised as deeply experienced in developer platforms or related infra: devcontainers, remote development, remote IDE backends, or developer workstation tooling
  • Demonstrated shipping production systems and delivering cross-team initiatives that impact group goals
  • Hands-on experience with CLI/tooling platforms and developer UX
  • practical experience with languages and tooling used for developer tooling (e.g., Go, Python, TypeScript) and infra as code (Terraform)
  • Practical experience with JetBrains remote backend flows or Codespaces/Codeserver-style products
  • Experience with BuildBuddy or remote build/execution systems, large cache architectures, or Firecracker/lightweight VM snapshotting
  • Experience integrating LLM/AI tooling into developer flows (on-device or code-local assistants such as Claude Code), including considerations for privacy, auditability and safe defaults
  • Excellent communicator who can influence Product and senior stakeholders and align multiple non-adjacent teams
  • Experience of working closely and building relationships with customer engineering groups

What we offer

  • A competitive and comprehensive compensation and benefits package
  • Up to 5% matched pension contributions
  • Some roles may be eligible for share awards
  • Free Deliveroo Plus: free delivery and access to special offers
  • Team lunches from the best local restaurants
  • 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
  • One day of paid leave per year to volunteer with a registered charity
  • Funded single cover healthcare on our core plan, with the option to add family members at own cost
  • On-site gym (HQ), discounted external gym membership
  • Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
  • Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
  • Life assurance
  • Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
  • Excellent kit to enable working from home and a parent-friendly working culture
  • Access to free mortgage advice
  • Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
  • Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content
  • Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions
  • Summer and end-of-year parties

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Staff Platform Engineer

8 matching positions

Staff Platform Engineer

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in ...
Location
Location
Canada , Vancouver
Salary
Salary:
190000.00 - 240000.00 CAD / Year
inworld.ai Logo
Inworld AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7 years of experience in software engineering
  • 5 years of experience with infrastructure-as-code
  • Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
  • Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
  • Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
  • Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
Job Responsibility
Job Responsibility
  • Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
  • Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
  • Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
  • Identify and implement opportunities to enhance engineering speed and efficiency
  • Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
  • Develop and share best practices to improve automation and efficiency across our engineering teams
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Staff Platform Engineer

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in ...
Location
Location
United States , Mountain View, California
Salary
Salary:
180000.00 - 280000.00 USD / Year
inworld.ai Logo
Inworld AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7 years of experience in software engineering
  • 5 years of experience with infrastructure-as-code
  • Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
  • Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
  • Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
  • Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
  • Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week)
Job Responsibility
Job Responsibility
  • Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
  • Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
  • Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
  • Identify and implement opportunities to enhance engineering speed and efficiency
  • Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
  • Develop and share best practices to improve automation and efficiency across our engineering teams
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Platform

Kiddom is a groundbreaking educational platform that promotes student equity and...
Location
Location
United States , San Francisco; New York
Salary
Salary:
180000.00 - 200000.00 USD / Year
kiddom.co Logo
Kiddom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software development experience at scale
  • 3+ years of experience leading cross-functional projects
  • Fluency in Go is a must
  • Fluency in at least one of these languages: TypeScript, Javascript, Python
  • Experience managing services in AWS or other cloud platforms
  • Experience with Docker containers and Linux virtual machines
  • You put the dev in DevOps, bridging applications to infrastructure
Job Responsibility
Job Responsibility
  • Supports tools and core services that provide a great product experience to our end-users and a great developer experience to our engineering teams
  • A typical day might start out looking for trouble and end with project plans and cross-functional collaborations that run a thorny problem to ground
  • This role combines technical leadership with strategic impact, shaping Kiddom’s systems to grow each school year
  • You’ll work in languages from Go to TypeScript to Python, on technologies from web APIs to graph databases to edge computing and LLMs
  • You will have the opportunity to drive technical change across every team
  • You will help engineers around you do their best work using tools you select and build
What we offer
What we offer
  • Competitive salary
  • Meaningful equity
  • Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
  • One Medical membership (in participating locations)
  • Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
  • 10 paid sick days per year (pro rated depending on start date)
  • Paid holidays
  • Paid bereavement leave
  • Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
  • Commuter and FSA plans
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Platform Engineer

Platform Engineer to join our team building backend infrastructure for new ML-po...
Location
Location
United States , Palo Alto
Salary
Salary:
175000.00 - 350000.00 USD / Year
inflection.ai Logo
Inflection AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Backend engineering experience with Python, TypeScript, or Node.js
  • Hands-on experience working with production PyTorch models, model checkpoints, and inference logic
  • Strong knowledge of building APIs and services that are scalable, stable, and secure
  • Passion for bridging backend engineering and ML systems, especially at the infrastructure layer
  • Familiarity with tools such as FastAPI, Postgres, Redis, Kubernetes, and React
  • Desire to be hands-on and contribute to shaping the foundation of a new enterprise ML product
  • Have a bachelor’s degree or equivalent in a related field to the offered position requirements
Job Responsibility
Job Responsibility
  • Build and maintain backend services to support LLM integration, inference orchestration, and data flow
  • Write clean, reliable Python code for experimentation, model integration, and production systems
  • Collaborate closely with ML researchers to rapidly iterate on product ideas and deploy features
  • Design and implement infrastructure to handle scalable inference workloads and enterprise-level use cases
  • Own system components and ensure reliability, observability, and maintainability from day one
What we offer
What we offer
  • Diverse medical, dental and vision options
  • 401k matching program
  • Unlimited paid time off
  • Parental leave and flexibility for all parents and caregivers
  • Support of country-specific visa needs for international employees living in the Bay Area
  • Competitive stock options
Read More
Arrow Right

Sr. Staff ML Platform Engineer

Machine learning is the crucial enabler for every financial service that EarnIn ...
Location
Location
United States , Mountain View
Salary
Salary:
360000.00 - 440000.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • 8+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
  • Familiarity with data pipelines and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering
Job Responsibility
Job Responsibility
  • Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
  • Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
  • Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
  • Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
  • Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
  • Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Software Engineer Sr Staff - Platforms Developer

Designs, develops, troubleshoots and debugs software programs for software enhan...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, electronics, telecommunication engineering, or a related discipline
  • 14 to 19 years of experience in networking and system software development
  • Proficiency in C and C++ programming
  • Familiarity with data structures and system debugging techniques
  • Expertise in Host Complex, System Peripherals & Drivers: CPU complex (x86)
  • PCIe, SPI, I2C, MDIO
  • FPGA, CPLD, Flash Drivers
  • Expertise in Ethernet Interfaces (ranging from 1Gig to 400G+, including 800G, 1.6T), MacSec, Timing, Optics (SFP, QSFP, QDD, OSFP)
  • Expertise in High-speed packet forwarding with network processors, PHYs, and SerDes
  • Cloud Architectures
Job Responsibility
Job Responsibility
  • Collaborate with product managers, architects, and other engineers to define software requirements and specifications
  • Design, implement, and maintain networking and system software components using C and C++ programming languages
  • Conduct object-oriented analysis and design to ensure robust and scalable solutions
  • Debug complex system-level issues, leveraging your deep understanding of fundamental OS concepts (especially in Linux or similar operating systems)
  • Participate in hardware and system-level design discussions, ensuring carrier-class software development
  • Work with Linux device drivers, system bring-up, and the Linux kernel
  • Navigate large codebases effectively
  • Apply strong technical, analytical, and problem-solving skills to enhance software performance and resilience
  • Utilize scripting technologies and modern DevOps practices
  • Collaborate with cross-functional teams, including networking, embedded platform software, and hardware experts
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Staff Platform Software Engineer

EarnIn is seeking a Staff Platform Engineer to lead the strategic design, automa...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s Degree in Computer Science or equivalent industry experience
  • 7+ years of experience in cloud infrastructure, managing large-scale, high-availability, customer-facing distributed systems
  • Proven experience mentoring and guiding senior engineers, driving technical decisions, and leading company-wide cloud initiatives
  • Mastery of public cloud providers, specifically AWS (EKS, DynamoDB, Aurora, Kinesis, etc.)
  • Strong expertise in containerized microservices running on Kubernetes
  • Deep knowledge of automation and configuration management tools (Terraform, Ansible)
  • Expertise on CICD pipelines and tools, including Jenkins, GHA, Argo CD, Spinnaker & FluxCD or similar
  • Experience with advanced observability tools (DataDog, CloudWatch)
  • Track record of leading cost optimization / FinOps initiatives, performance tuning, and operational excellence projects
  • Proven ability to drive cross-functional initiatives with engineering, product, and business teams
Job Responsibility
Job Responsibility
  • Serve as a key architect and thought leader in the cloud infrastructure domain, guiding the team on best practices
  • Mentor and coach senior engineers across the company in advanced cloud operations practices
  • Provide oversight of hosted Linux and Windows systems, networks, databases, and applications, identifying and solving critical performance, scalability, and stability challenges
  • Design and develop reusable components and operational strategies to enhance the scalability, performance, and monitoring of cloud systems
  • Collaborate with other senior engineers to create technical solutions that address company-wide cloud challenges
  • Lead the establishment and continuous evolution of infrastructure-as-code best practices, driving automation, self-healing, and security standards
  • Drive operational cost savings through service optimizations, autoscaling strategies, and distributed processing architectures
  • Collaborate closely with cross-functional teams, including security, engineering, and business teams, to ensure that operational strategies align with company-wide objectives
  • Provide thought leadership in company-wide initiatives such as observability, automation, and disaster recovery
  • Continuously evaluate existing tools and processes, lead efforts to socialize, present, and implement enhancements for optimal operational efficiency
What we offer
What we offer
  • healthcare
  • internet/cell phone reimbursement
  • a learning and development stipend
  • opportunities to travel to our Mountain View HQ
  • Fulltime
Read More
Arrow Right

Staff Backend Software Engineer - Partner Platform

Addepar is seeking a Staff Backend Software Engineer to join our Partner Platfor...
Location
Location
United Kingdom , Edinburgh
Salary
Salary:
Not provided
addepar.com Logo
Addepar
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming experience (preferably in Python)
  • Solid background in databases and working with large datasets (e.g. Spark, other big data frameworks)
  • Excellent communication and cross-functional collaboration skills
Job Responsibility
Job Responsibility
  • Build scalable data integration pipelines that support mission-critical projects across the organization
  • Own and contribute to end-to-end engineering projects using the Addepar data lakehouse
  • Partner with stakeholders across analytics, operations, and product to deliver solutions that directly impact clients and business teams
  • Participate in the design, development, and optimization of tools and systems for account conversions, historical data imports, and embedded integrations
  • Maintain and expand the foundational codebase supporting the data lakehouse ecosystem
What we offer
What we offer
  • Reasonable accommodation for individuals with disabilities
  • Commitment to equal opportunity and diversity
  • Global flexible workforce model
Read More
Arrow Right