CrawlJobs Logo

Advanced Platform Engineer

United States, Austin, Texas · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

We’re looking for a Senior Platform Engineer with strong product instincts – someone who can spot friction in developer workflows, understand their needs, and take the initiative to build solutions that remove barriers. You'll work with a diverse tech stack and collaborate with developers from multiple teams to design, implement and maintain the systems that support our game development. This role combines systems thinking, practical engineering, and a strong bias towards developer experience. You should be comfortable moving between infrastructure, backend services, automation and occasional frontend or tooling work as needed.

Job Responsibility

  • Build and evolve the Internal Developer Platform: Design and implement platform capabilities supporting CI/CD, environment management, observability, and secure-by-default infrastructure
  • Identify & Eliminate Developer Friction: Proactively discover pain points through conversations, telemetry, and hands-on investigation
  • apply pragmatic judgement to weigh quick wins against strategic investments
  • propose and deliver high-impact fixes based on business insights
  • Develop Shared Services & Tooling: Contribute to backend services, SDKs and UI components that enable teams to ship features faster and safer
  • Drive Engineering Excellence: Champion reliability, simplicity, automation and maintainability across systems and workflows
  • Build Relationships Across Teams: Partner with developers of varied backgrounds to understand requirements, gather feedback, and build trust
  • use those relationships to find friction and identify incremental improvements aligned with long term business goals
  • Operate What You Build: Help establish SLIs/SLOs, own operational readiness, and participate in on-call rotations for the services you support
  • Influence Technical Direction: Help shape architectural decisions, tooling standards, and long-term roadmaps for our developer platform. Use small successes to establish a pattern of trust and gradually move the Overton window of what’s achievable with future innovation

Requirements

  • 5-10+ years of experience in software engineering, preferably with platform, infrastructure, or DevOps focus
  • Passion for enabling developers
  • Strong ability to self-direct, identify opportunities, connect developers, and drive improvements to completion
  • Experience designing, building and operating reliable distributed systems
  • Excellent communication and collaboration skills, especially with cross-functional partners
  • Proficiency in at least one of our backend languages: C#, Go, Python or Typescript
  • Hands-on experience with cloud-native infrastructure (AWS preferred) and containerized environments (Docker, Kubernetes)
  • BS in Computer Science, Computer Engineering or equivalent

Nice to have

  • Experience working with game development or creative product teams
  • Knowledge of security, compliance, or auditability considerations for internal platforms
  • Contributions to internal developer portals or platform engineering initiatives at scale

Looking for more opportunities?

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

Similar Jobs for

Advanced Platform Engineer

8 matching positions

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...
Location
Location
United States , Los Angeles, Glendale
Salary
Salary:
200000.00 - 240000.00 USD / Year
disqo.com Logo
DISQO
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional software engineering experience
  • 5+ years architecting or building high-performance data systems or analytics platforms
  • 3+ years of product Rust experience
  • Deep expertise in Rust and strong experience in Java
  • Proven track record building large-scale data analytics or OLAP systems from the ground up
  • Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
  • Hands-on experience with performance engineering, profiling, and hardware-aware optimization
  • Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
  • A systems-thinking mindset
  • Thrives in a fast-moving, startup environment
Job Responsibility
Job Responsibility
  • Architect and deliver a high-performance Advanced Analytics Engine
  • Design and build an Agentic AI system that leverages this Advanced Analytics Engine
  • Partner with product, engineering and data teams to power agentic AI analytics systems
  • Profile, benchmark, and optimize Rust components
  • Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
  • Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
  • Mentor and guide engineers
  • Contribute to open-source or internal frameworks that advance analytical systems and distributed computation
What we offer
What we offer
  • 100% covered Medical/Dental/Vision for employee
  • Equity
  • 401K
  • Generous PTO policy
  • Flexible workplace policy
  • Team offsites, social events & happy hours
  • Life Insurance
  • Health FSA
  • Commuter FSA (for hybrid employees)
  • Catered lunch and fully stocked kitchen
  • Fulltime
Read More
Arrow Right

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

Senior Salesforce Platform Engineer

The Platform Engineer performs a critical role delivering the core capabilities ...
Location
Location
United States , Chicago
Salary
Salary:
Not provided
myticas.com Logo
Myticas Consulting
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must have experience in Salesforce security Model
  • Must have experience in Salesforce Integration patterns
  • Must have experience in Salesforce Flow optimization
  • Must have experience with the overall Salesforce platform and delivering Salesforce solutions from design to production
  • Experience in Data Cloud is preferred
  • Experience in the CRM, Customer Support, Sales and Marketing domain
  • Experience with the overall Salesforce platform and working knowledge of Salesforce integration approaches
  • Experience delivering Salesforce solutions from design to production
  • Experience integrating Salesforce with 3rd party solutions
  • Experience engineering solutions across a heterogenous datacenter, cloud, and SaaS environments
Job Responsibility
Job Responsibility
  • Drive design, engineering, implementation, and configuration of platform services to support overall enterprise patterns, and reinforcing best practices
  • Develop patterns for common platform needs (e.g. logging, monitoring, alerting, backup, encryption, tooling, etc) across all layers of the platform and supporting services
  • Deliver explicit APIs and abstractions that offer flexibility for application developers in leveraging the platform
  • Works with business and technology partners to identify, define, interpret, and clarify scope of the Salesforce platform integrations
  • Partner with Information Security representatives to develop, implement and/or execute security configurations and controls
  • Support and refine the utilization strategy for the platform and enhance its overall architecture, security, performance, and financial aspects
  • Contribute to platform, product, and architectural roadmaps Platform Administration
  • Performs development of common Salesforce platform components, capabilities, and features
  • Performs development and advanced configuration activities including custom objects and fields, dashboards, reports, workflows, rules, automations, and triggers
  • Creates Integrations and/or Connectors between Salesforce.com and FRS and other 3rd party applications
Read More
Arrow Right

Platform Engineer Expert

Platform Engineer Expert position at Inetum, a European leader in digital servic...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong expertise with data models and data pipelines architecture
  • Expertise with batch processing systems and scheduling tools like Airflow
  • Solid expertise of middleware administration (JBoss, Apache, Tomcat)
  • Linux administration expertise on RedHat environments (user management, permissions)
  • Advanced SQL querying expertise
  • Expertise with reverse proxy configurations
  • Basic networking expertise for firewall and connectivity requirements
  • Basic expertise with CI/CD pipeline concepts and implementation
  • Expertise in using AI tools like ChatGPT and Claude for technical problem-solving
  • Expertise in installing and configuring software components from Linux repositories
Job Responsibility
Job Responsibility
  • Monitor and maintain our data pipeline that processes massive batch data scheduled through Airflow, processed by ETL tools, and loaded into databases
  • Perform regular health checks on middleware components including JBoss, Apache, and Tomcat servers
  • Optimize middleware configurations for performance and stability
  • Manage Linux user permissions, groups, and access rights on RedHat environments
  • Write and optimize SQL queries for data verification and troubleshooting
  • Create and manage system tickets for infrastructure changes requiring specialized teams
  • Coordinate with network teams for firewall configuration requests
  • Install and configure components from Linux repositories independently or coordinate with system administrators for restricted installations
  • Leverage AI tools like ChatGPT and Claude to assist with configuration challenges and troubleshooting
  • Fulltime
Read More
Arrow Right

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...
Location
Location
Serbia; Romania , Belgrade; Timișoara
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
  • Bachelors degree or equivalent focusing on the computer science field is preferred
  • Excellent communication and collaboration skills
  • Expert knowledge of Python
  • Experience with CI/CD tools (e.g., GitLab, Jenkins)
  • Hands-on experience with Kubernetes, Docker, and cloud services
  • Understanding of ML training pipelines, data lifecycle, and model serving concepts
  • Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
  • A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch)
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
  • Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
  • Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
  • Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
  • Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
  • Build out documentation in relation to architecture, policies and operations runbooks
  • Share skills, knowledge, and expertise with members of the data engineering team
  • Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
  • Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
  • Ensure that the developed solutions meet project objectives and enhance user experience
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Platform Enablement

SoundCloud empowers artists and fans to connect and share through music. Founded...
Location
Location
United States , New York; Atlanta; East Coast
Salary
Salary:
160000.00 - 210000.00 USD / Year
soundcloud.com Logo
SoundCloud
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data engineering, analytics engineering, or similar roles
  • Expert-level SQL skills, including performance tuning, advanced joins, CTEs, window functions, and analytical query design
  • Proven experience with Apache Airflow (designing DAGs, scheduling, task dependencies, monitoring, Python)
  • Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.)
  • Knowledge of data governance, schema management, and versioning best practices
  • Understanding observability practices: logging, metrics, tracing, and incident response
  • Experience deploying and managing services in cloud environments, preferably GCP, AWS
  • Excellent communication skills and a collaborative mindset
Job Responsibility
Job Responsibility
  • Develop and optimize SQL data models and queries for analytics, reporting, and operational use cases
  • Design and maintain ETL/ELT workflows using Apache Airflow, ensuring reliability, scalability, and data integrity
  • Collaborate with analysts and business teams to translate data needs into efficient, automated data pipelines and datasets
  • Own and enhance data quality and validation processes, ensuring accuracy and completeness of business-critical metrics
  • Build and maintain reporting layers, supporting dashboards and analytics tools (e.g. Looker, or similar)
  • Troubleshoot and tune SQL performance, optimizing queries and data structures for speed and scalability
  • Contribute to data architecture decisions, including schema design, partitioning strategies, and workflow scheduling
  • Mentor junior engineers, advocate for best practices and promote a positive team culture
What we offer
What we offer
  • Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
  • Robust 401k program
  • Employee Equity Plan
  • Generous professional development allowance
  • Creativity and Wellness benefit
  • Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
  • 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
  • Various snacks, goodies, and 2 free lunches weekly when at the office
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer

As a 0x Platform Engineer, your mission is to ensure our suite of products remai...
Location
Location
United States
Salary
Salary:
Not provided
0x.org Logo
0x
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • 5+ years of professional engineering experience with a strong background in platform or infrastructure engineering
  • Proficiency with infrastructure automation and scripting (TypeScript or Rust preferred)
  • Strong expertise in Kubernetes-based applications in cloud environments (EKS preferred)
  • Experience with AWS and Infrastructure as Code (Terraform)
  • Advanced understanding of modern DevOps practices (GitOps, CI/CD, OpenTelemetry)
  • Proven ability to troubleshoot distributed systems, networking, and latency issues in production environments
  • Obsessed with optimizing for low latency, high throughput, and developer productivity
  • Passion for decentralization and alignment with the 0x mission
  • Embody our core values: do the right thing, consistently ship, and create enduring value
Job Responsibility
Job Responsibility
  • Ensure uptime, reliability, and resilience across 0x’s core products and services
  • Own and improve our observability stack (Grafana, Loki, Tempo, VictoriaMetrics), driving efficiency and actionable insights
  • Design and implement resilient systems for low-latency, high-availability workloads
  • Automate engineering workflows including onboarding/offboarding, service provisioning, and infrastructure migrations
  • Manage and upgrade cloud infrastructure and Kubernetes platforms while ensuring scalability and high availability
  • Optimize build systems and CI/CD pipelines to improve developer velocity and performance
  • Collaborate across application, data, and infrastructure teams to debug issues, reduce latency, and drive cross-team automation
What we offer
What we offer
  • Comprehensive insurance (medical/dental/vision/life/disability) for U.S.-based employees — 100% of base plan covered for you and dependents
  • 401k and FSA for U.S.-based employees
  • Monthly mobile phone bill, wellness, and pre-tax transportation expense
  • Covered mental health benefits (included professional therapy sessions)
  • A supportive remote environment
  • Lunch reimbursement for all employees across the globe
  • Stipend for your ideal remote / WFH set-up: headphones, and any other work gear you may need
  • 12-week paid parental leave
  • Great office conveniently located in the SF Financial District for those in the region
  • Flexible vacation: Take time when you need it (and we really mean it)
  • Fulltime
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