Platform Engineering

Platform Engineering Jobs

152 jobs found

Today

Senior Agentic Software Engineer

Arrivia, Inc. Scottsdale, AZ

Scottsdale, AZ

Today

Full time Backend Developer Senior Agentic Ai

Apply Now

Job Description

Arrivia, Inc. offers a benefits-forward environment for engineers who want to shape AI agentic development and scale a modern travel platform from Scottsdale, AZ on site. The role emphasizes technical direction, system architecture, and elevated engineering standards across multiple teams, with a focus on collaboration and impactful delivery.

Benefits

Unlimited PTO
Exclusive employee travel rates
Travel discounts through arrivia programs
Medical, dental, and vision insurance
401(k) with company participation

Responsibilities

Architect the platform: lead design and development of features and services for the travel platform on a full‑stack product team as a technical leader.
Drive agentic adoption: standardize agentic coding tools across engineering teams by establishing best practices, prompt libraries, and workflows that boost productivity org-wide.
Set the quality bar: review AI generated code for correctness, security, performance, and maintainability to set the standard across teams.
Modernize at scale: rejuvenate aging services through refactoring, migrations, and cloud-native distributed design.
Strategize agentic workflows: define patterns and platforms that automate testing, documentation, code review triage, and deployment checks at scale.
Architect MCP integrations: design Model Context Protocol integrations that connect AI agents to internal tools, data, and platform services across the development lifecycle.
Lead distributed systems: drive improvements to the development and operations of a increasingly distributed architecture across cloud platforms.
Protect member trust: safeguard the privacy and security of members' sensitive data in collaboration with Risk and Security teams.
Increase velocity: introduce processes that enable faster shipping, quicker learning, and clearer impact isolation, while helping establish and meet system SLOs.
Mentor across teams: guide engineers in AI assisted development, prompt engineering, and agentic workflow design.

Requirements

8+ years of full‑stack development and architectural experience building web applications and services.
Expert proficiency using AI coding agents such as Claude Code, Cursor, or GitHub Copilot in professional workflows.
Strong proficiency in two or more of TypeScript/JavaScript, Python, or C#/.NET.
Deep experience with modern frontend frameworks such as React, Next.js, Vue, or Angular.
A proven track record architecting and delivering cloud‑native solutions on AWS, Azure, or GCP.
Extensive experience with RESTful API design and microservices architecture.
Deep understanding of the Model Context Protocol (MCP) and experience architecting MCP server ecosystems.
Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD pipelines.
A history of leading technical designs, mentoring engineers across teams, and raising engineering maturity.
A formal CS degree is a plus, not a requirement. Depth of engineering knowledge matters most.

Technologies

Claude Code
Cursor
GitHub Copilot
TypeScript
JavaScript
Python
C#/.NET
React
Next.js
Vue
Angular
AWS
Azure
GCP
RESTful API
Docker
Kubernetes
CI/CD
Model Context Protocol (MCP)

View full job page →

Today

Machine Learning Engineer - Document Digitization (LLMs)-Vice President

JPMorganChase Jersey City, NJ

Jersey City, NJ

Today

$164k - $260k/yr Full time Ai Ml Amazon Eks Artificial Intelligence

Apply Now

Job Description

Senior Vice President level Machine Learning Engineer focused on designing, building, and deploying AI powered document digitization solutions using large language models to transform document processing and governance.

Responsibilities

Lead end-to-end design, development, and integration of AI powered document digitization solutions to extract data and insights from diverse document formats.
Manage the full AI/ML lifecycle: training, validation, deployment, monitoring, and ongoing improvements in production environments.
Apply generative AI and LLMs to automate and optimize document workflows.
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources with infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
Ensure scalability, reliability, security, and governance compliance of AI/ML solutions.
Collaborate with cross functional teams to reimagine legacy document processing with generative AI and LLMs.
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
Mentor junior engineers and promote best practices across AI/ML, software engineering, and testing.
Conduct model validation, human in the loop review, and implement continuous improvement strategies for digitization accuracy.
Contribute to communities of practice and explore new and emerging technologies.

Requirements

Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
Strong proficiency in Python for building production grade AI services and data/document pipelines.
Strong working proficiency in Java, including API and microservice development with Spring Boot; familiarity with front end technologies (React.js, AngularJS) is a plus.
Hands-on experience delivering LLM powered GenAI applications in production (document understanding, retrieval augmented generation, workflow automation), including evaluation, observability, guardrails, and continuous improvement.
Experience with MLOps / LLMOps practices in production (CI/CD, automated testing, deployment strategies, monitoring, incident response).
Working knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning) with emphasis on integrating models into scalable systems.
Experience with AWS and cloud native delivery including SageMaker and/or Bedrock, containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
Familiarity with NoSQL / search / graph technologies (MongoDB Atlas, Elasticsearch/OpenSearch, Neo4j) for document search and knowledge retrieval.
Experience with agentic coding approaches, autonomous/assisted code agents, orchestration patterns, and tool-use/agent frameworks to accelerate document digitization workflows.
Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving, communication, and collaboration skills.
Proven ability to accelerate development using AI technologies while maintaining engineering rigor (testing, code quality, governance).

Technologies

Python
Terraform
AWS SageMaker
AWS Bedrock
Docker
Kubernetes
Amazon EKS
Java
Spring Boot
React.js
AngularJS
TensorFlow
PyTorch
Scikit-learn
PyTorch Lightning
MongoDB Atlas
Elasticsearch/OpenSearch
Neo4j
LLMs

Benefits

Equity/stock-based compensation
Competitive base salary
Commission-based pay and/or discretionary incentive compensation
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

View full job page →

Today

Staff Data Engineer

Okta Chicago, IL

Chicago, IL

Today

$174k - $239k/yr Full time Senior Apache Airflow Cloud

Apply Now

Job Description

Benefits and Culture

Well being and health support for employees, prioritizing balance and flexibility
Meaningful opportunities to drive social impact through technical work
Focus on developing talent and building strong, connected teams across the organization

Location: Chicago, IL, hybrid work arrangement. Compensation: USD 174,000 - 238,700 per year.

Responsibilities

Spearhead the architectural evolution of the data platform, defining the roadmap for its future state
Shape and guide a technical strategy for large scale platform improvements, balancing long term goals with incremental delivery
Collaborate with engineers and leaders across data, platform, and security teams to forge a unified, secure architecture
Produce architectural artifacts such as design documents, threat models, and technical specifications to align stakeholders on complex initiatives
Serve as a technical mentor to the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices
Build foundational components of the new architecture by hands-on coding to model patterns others can follow

Requirements

Commitment to building secure, reliable, and scalable data systems
8+ years in software development, with at least 5+ years in data engineering or data platform roles
Proven track record delivering large-scale, cross-functional technical programs
Extensive experience designing and deploying data infrastructure in a cloud environment, with AWS strongly preferred
In-depth knowledge of the modern data stack including Snowflake, dbt, and Airflow
Strong proficiency in Python and SQL, with emphasis on code quality and system design
Excellent communication skills enabling clarity and informed decisions on complex technical topics
Ability to navigate ambiguity, chart a path forward, and lead others to successful outcomes

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes

About the Auth0 Data Engineering Team

Pipeline team focuses on efficient data ingestion and rapid access to unmodeled data, operating near the Platform team and data producers
Warehouse team models data in the data warehouse to simplify analysis for data consumers, supporting business teams and decision-making
Interface team builds and manages connections between the data platform and external systems, ensuring consistent, reliable data access

View full job page →

Today

Staff Data Engineer

Okta Washington, DC

Washington, DC

Today

$174k - $239k/yr Full time Cloud Architecture Data Architecture Data Engineer

Apply Now

Job Description

Okta seeks a Staff Data Engineer in Washington, DC (hybrid) to lead the architectural evolution of the data platform, beginning with FEDRamp compliance, and to drive strategic platform initiatives. The role collaborates across data, platform, and security teams to define and execute the architectural roadmap. Compensation ranges from USD 174,000 to 238,700 per year.

Responsibilities

Lead the architectural design and evolution of the data platform, outlining the roadmap for its future state.
Steer technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
Collaborate closely with engineers and leaders from data, platform, and security teams to create a unified and secure architecture.
Produce architectural artifacts, including design documents, threat models, and technical specifications to align stakeholders on complex initiatives.
Serve as a technical mentor and multiplier for the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices.
Implement foundational components of new architecture, validating designs through hands-on coding and modeling best practices for other engineers.

Requirements

A passion for building secure, reliable, and scalable data systems.
8+ years of software development experience, including at least 5+ years in a data engineering or data platform role.
Proven track record delivering large-scale, cross-functional technical projects.
Extensive experience architecting and deploying data infrastructure in a cloud environment, with AWS strongly preferred.
Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
Strong proficiency in Python and SQL, with a high standard for code quality and system design.
Excellent communication skills, capable of creating clarity and driving decisions on complex technical topics.
The ability to navigate ambiguity, define a path forward, and lead others to successful outcomes.

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes
AWS GovCloud

Benefits

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

THE AUTH0 DATA ENGINEERING TEAM

Pipeline team, situated near the Platform team and data producers, responsible for efficient data ingestion and providing rapid access to unmodeled data
Warehouse team, closer to business teams and data consumers, modeling data in the data warehouse to abstract complexity for consumers and simplify analysis, reporting, and decision-making
Interface team, charged with creating and managing connections between the data platform and external systems, ensuring consistent and reliable data access

THE OKTA EXPERIENCE

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

View full job page →

Today

Lead AI Security Engineer

FM Johnston, RI

Johnston, RI

Today

$121k - $173k/yr Full time Agent Agentic Ai Ai Security

Apply Now

Job Description

The Lead AI Security Engineer is a senior technical role focused on enabling secure AI adoption across FM. The position defines security requirements and implements controls for AI capabilities, partnering with platform, engineering, and product teams to operationalize AI security.

Responsibilities

Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks.
Define security and risk requirements for enterprise AI platforms and agent-based systems.
Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements.
Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations.
Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment.
Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments.
Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives.
Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling.
Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes.
Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration.
Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied.

Requirements

7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security.
Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring.
Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments.
Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications.
Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations.
Demonstrated ability to evaluate technologies and guide technical decision-making.
Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation.
Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred.
Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred.
Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations.
Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges.
Ability to develop security and risk requirements from ambiguous or emerging technology risks.
Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns.
Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications.
Strong analytical, problem-solving, and communication skills; ability to work independently and collaboratively across teams.

Technologies

Microsoft Copilot
Claude
Azure AI Foundry

Benefits

Incentive plan
Medical, dental and vision insurance
Life and disability insurance
Well-being programs
401(k) and pension plan
Career development opportunities
Tuition reimbursement
Flexible work
Time off (vacation and sick time)

Schedule & Location

This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs.

Relocation

Relocation is not offered for this position

Education and Certifications

Bachelor’s degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered)
Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred

View full job page →

1d ago

Principal Software Engineer / Tech Lead

Leidos Arlington, VA

Arlington, VA

1d ago

$131k - $237k/yr Full time Senior APIs Cloud Operations

Apply Now

Job Description

Principal Software Engineer / Tech Lead with a salary range of USD 131,300 to 237,350 per year, onsite in Arlington, VA, supporting the Compartmented Enterprise Services Office to build and migrate secure web services on a highly automated, high-security cloud platform.

Responsibilities

Convert mission objectives and prioritized backlog items into tangible technical delivery plans and sprint goals
Lead the development and integration of secure APIs and data pipelines (structured and unstructured)
Work with languages and environments including JavaScript, GitLab, Jenkins, Ansible Automation, Python, Java, PSSQL, YAML, Terraform
Design and implement automated CI/CD build and deployment pipelines using Jenkins, Ansible, and Bitbucket
Apply DevSecOps practices with automated testing, observability, and security controls
Manage software release versioning and provide release management support across the software life cycle from development through test, QA, and production
Define and drive long term technical strategy and architectural direction across multiple teams
Oversee the design and delivery of scalable, secure, and maintainable software solutions
Serve as a senior technical authority and escalation point for cross team and cross domain issues
Champion engineering excellence including automated testing, CI/CD, reliability, and security
Establish standards, best practices, and governance for software development
Guide the responsible adoption of generative AI tools across engineering teams
Lead, manage, and develop senior engineers and technical teams
Own performance management, career development, succession planning, and talent growth
Foster a high performing, inclusive engineering culture
Coach leaders on effective team management, delivery, and technical decision making
Own delivery outcomes across multiple Agile teams, ensuring predictability and quality
Partner with product and business stakeholders to align roadmaps, priorities, and execution
Ensure effective Agile practices, metrics, and continuous improvement using Jira
Balance near term delivery with long term platform and technical investments
Incorporate customer feedback, operational insights, and data to drive product improvements
Act as a key engineering representative in cross functional and leadership discussions
Communicate technical vision, risks, and progress to senior leadership
Influence product strategy through deep understanding of users and technical constraints
Drive alignment across engineering, product, design, and operations

Requirements

Active TS/SCI security clearance
BA degree and 12+ years of experience; additional years may be considered in lieu of a degree
Proven track record leading multiple teams and delivering complex software systems
Demonstrated leadership with strong organizational and documentation skills
Strong background in automated testing, CI/CD, and modern software delivery practices
Experience with languages and environments including JavaScript, GitLab, Jenkins, Ansible Automation, Python, Java, PSSQL, YAML, Terraform
Hands-on full SDLC Agile software development experience with end to end automation, including production deployments
Experience designing and deploying DevOps pipelines with Bitbucket, Git, Jenkins, Artifactory and Ansible or equivalents
Excellent leadership, communication, and stakeholder management skills
Experience working in a high op tempo, top secret environment
Experience tracking projects in Jira or equivalent Agile project management software
Technical exposure to: GitHub, Gradle, PowerShell, Java Full Stack, Oracle 19c, Webservices, AWS

Technologies

JavaScript
GitLab
Jenkins
Ansible Automation
Python
Java
PSSQL
YAML
Terraform
Bitbucket
Git
Artifactory
AWS
GitHub
Gradle
PowerShell
Java Full Stack
Oracle 19c
Webservices
Jira

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

View full job page →

1d ago

Senior Software Engineer

Liberty Mutual Columbus, OH

Columbus, OH

1d ago

$106k - $197k/yr Full time Backend Developer Senior APIs

Apply Now

Job Description

Liberty Mutual offers a hybrid work model in Columbus, OH for a Senior Software Engineer on the Platform Ecosystems team. You will develop backend services, APIs, automations, and event-driven systems that power software delivery across the enterprise. This US-based role requires two days in the office per week, with compensation ranging from USD 106,000 to 197,000 per year based on experience and qualifications. The role sits at the intersection of platform engineering and developer experience, enabling scalable software delivery for thousands of engineers.

The Platform Ecosystems team builds and operates the internal tooling and integrations that power Liberty Mutual’s software delivery at enterprise scale. The role includes supporting a large-scale eventing platform that processes approximately 1.7 million events daily to enable downstream engineering and operational workflows. You will contribute to automations, integrations, and API surface areas that strengthen developer productivity and ecosystem health.

Responsibilities

Platform Services Engineering: Develop and maintain backend services, APIs, and automation that power and extend the internal software delivery platform.
Core Platform Ownership: Engineer and improve integrations, automation patterns, access mechanisms, and operation of core software delivery SaaS platforms.
Event-Driven Workflows: Design and support event-driven processes using AWS services such as Lambda and SQS, as well as Kafka.
Integration & Automation: Create integrations, wrapper APIs, and service layers that extend vendor tooling and reduce manual operational effort.
Platform Reliability: Ensure reliability, observability, and scalability of platform services through proactive design and strong operational practices.
Cross-Team Collaboration: Partner with multiple engineering teams to embed platform capabilities into delivery workflows and improve the overall developer experience.

Requirements

5+ years of experience in software engineering, DevOps, or platform engineering roles.
Hands-on experience with cloud-based developer platforms and CI/CD tooling.
Proven track record building automation and integrations across vendor platforms.
Experience working in cross-functional teams and collaborating across engineering squads.

Technologies

Python, TypeScript/JavaScript
AWS, Lambda, SQS, Kafka
SAML, OIDC
GitHub Actions
Certificate management, SSO, load balancer certificates, core cloud networking

Benefits

Comprehensive benefits
Workplace flexibility
Professional development opportunities
Employee Resource Groups

Description

The Platform Ecosystems team maintains the core software delivery platforms and integrations used by thousands of Liberty Mutual engineers. The Senior Software Engineer will help evolve the developer tooling ecosystem and the large-scale eventing platform, enabling efficient software delivery through automation, integrations, API development, and event-driven architecture.

About Liberty Mutual

Liberty Mutual is committed to an inclusive workplace where diverse perspectives are valued and supported. The company offers comprehensive benefits, workplace flexibility, and opportunities for professional growth through Employee Resource Groups. Liberty Mutual is an equal opportunity employer.