CrawlJobs Logo

Staff Platform Engineer

automata.tech Logo

Automata

Location Icon

Location:
United Kingdom , London

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

110000.00 - 120000.00 GBP / Year
Save Job
Save Icon
Apply Position

Job Description:

We are looking for a Staff Platform Engineer to lead the technical direction of Automata's platform infrastructure. This is a high-impact role where you will define architecture, drive standards, and enable teams to deliver faster and more reliably across cloud and on-premise environments. You will operate across teams, setting the vision for platform engineering and ensuring that our systems meet the highest standards of performance, security, and compliance.

Job Responsibility:

  • Define and drive the platform architecture across cloud, edge, and bare-metal deployments
  • Establish and evolve golden paths that standardise how engineers build, deploy, and operate services
  • Lead the design of multi-cluster Kubernetes platforms, including bare-metal and hybrid setups
  • Own strategy and best practices for data infrastructure (Postgres and beyond)
  • Drive adoption of GitOps (ArgoCD) and scalable IaC frameworks
  • Architect systems for highly regulated environments (ISO27001, SOC2, GxP)
  • Lead observability strategy using OpenTelemetry and modern tooling
  • Guide network architecture, including physical networking and vendor integrations (Juniper/Mist)
  • Drive platform-level automation and AI adoption (e.g., developer tooling, Claude Code workflows)
  • Influence and improve orchestration patterns (Temporal and similar systems)
  • Partner with product, engineering, and field teams to ensure successful customer deployments
  • Mentor engineers and raise the technical bar across the organisation
  • Balance technical excellence with pragmatic decision-making

Requirements:

  • 8+ years of experience in platform engineering, infrastructure, or distributed systems
  • Deep expertise in Kubernetes, including bare-metal and large-scale production systems
  • Strong experience designing cloud + on-prem hybrid architectures
  • Advanced knowledge of Postgres and data infrastructure
  • Proven experience defining and scaling platform standards and developer workflows
  • Strong background in IaC and GitOps at scale
  • Experience designing systems for compliance-heavy environments
  • Deep understanding of observability, reliability engineering, and incident management
  • Strong programming skills in at least one of (Go, Python, Rust, .NET)
  • Excellent communication and leadership skills across technical and non-technical teams
  • Experience working directly with customers or field teams in complex environments
  • Willingness to travel when needed to support key deployments
  • Experience introducing AI-assisted engineering practices

Nice to have:

  • Experience with Juniper/Mist networking and physical infrastructure
  • Experience with Temporal or workflow orchestration systems
  • Background in life sciences, robotics, or lab automation
What we offer:
  • Vitality Health Insurance
  • Eye Care
  • Salary Sacrifice - EV
  • Salary Sacrifice - Bike & Tech
  • Wellbeing & Support
  • Wellbeing & Development Allowance
  • Spill & Employee Assistance Programme
  • Additional Leave
  • Pension Scheme
  • Group Life & Critical Illness cover

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Automata - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Staff Platform Engineer

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