Platform Engineering

Platform Engineering Developer Jobs

112 jobs found

Today

Senior Agentic Software Engineer

Arrivia, Inc. Scottsdale, AZ

Scottsdale, AZ

Today

Full time Backend Developer Senior Agentic Ai

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Job Description

Arrivia, Inc. is seeking a Senior Agentic Software Engineer to steer the technical direction of AI agentic development across its travel platform. This onsite role in Scottsdale, AZ places you on the front lines of architecture and engineering practice, raising standards across multiple product teams while promoting responsible AI tooling.

Responsibilities

Architect and drive the platform's design and implementation for features and services on a full-stack product team, serving as a technical leader for the travel platform.
Drive agentic adoption by standardizing AI agent coding tools across engineering groups and establishing best practices, prompt libraries, and workflows to boost productivity across the organization.
Set the quality bar by reviewing and validating AI-generated code for correctness, security, performance, and maintainability to elevate standards across teams.
Modernize at scale by revitalizing aging services through refactoring, migration, and cloud-native distributed design.
Strategize agentic workflows by defining scalable patterns and platforms that automate testing, documentation, code-review triage, and deployment checks.
Architect MCP integrations to connect AI agents with internal tools, data, and platform services throughout the development lifecycle.
Lead distributed systems initiatives, improving development and operations across cloud platforms within a distributed architecture.
Protect member trust by collaborating with Risk and Security teams to safeguard privacy and sensitive data.
Increase velocity by introducing processes that accelerate shipping, enable faster learning, and isolate impact, while helping establish and meet system SLOs.
Mentor across teams by guiding 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.
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.
Demonstrated ability to lead technical designs, mentor engineers across teams, and raise 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)

Benefits

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

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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

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Job Description

Join JPMorgan Chase in Jersey City, onsite, as a Senior Vice President level Machine Learning Engineer focused on designing, developing, and deploying AI powered document digitization solutions that leverage large language models. You will lead cross functional collaboration, mentor engineers, and drive scalable AI/ML platforms with governance in mind. This role offers a competitive compensation package including a base salary in the USD 164,350 to 260,000 per year range, as well as equity-based incentives and a comprehensive benefits program.

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

Responsibilities

Lead the design, development, and integration of AI powered document digitization solutions, focusing on extracting information and insights from diverse document types.
Oversee the full AI/ML lifecycle from training and validation to deployment, monitoring, and ongoing production improvements.
Utilize generative AI and large language models to automate and optimize document workflows.
Build and maintain scalable digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources with infrastructure as code tools such as Terraform and AWS services including SageMaker and Bedrock.
Ensure scalability, reliability, security, and compliance of AI/ML solutions, following best practices and governance standards.
Collaborate with cross functional teams to reimagine legacy document processing systems using 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 in AI/ML, software engineering, and testing.
Conduct model validation, human in the loop reviews, and implement continuous improvement strategies for digitization accuracy.
Contribute to communities of practice and explore new and emerging technologies.
Technologies you will work with: 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.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with relevant industry experience.
Strong Python proficiency for building production-grade AI services and data/document pipelines.
Solid Java experience, including API and microservice development with Spring Boot; familiarity with front-end tech (React.js, AngularJS) is a plus.
Hands-on experience delivering LLM powered or GenAI applications in production, including evaluation, observability, guardrails, and continuous improvement for use cases like document understanding and workflow automation.
Experience with MLOps / LLMOps practices in production environments (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 and services 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 frameworks to accelerate document digitization workflows.
Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving and collaborative communication skills.
Proven ability to drive development with AI technologies while maintaining rigorous engineering standards, including testing, code quality, and governance.

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Today

Staff Data Engineer

Okta Chicago, IL

Chicago, IL

Today

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

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Job Description

Okta offers a hybrid Chicago role with an impact driven data platform. You will lead strategic platform initiatives within the Auth0 Data Engineering Team, starting with FEDRamp compliance, and shape the architectural evolution of a secure, scalable data foundation across multiple teams. The position offers a salary range of USD 174,000 to 238,700 per year and requires at least 8 years of software development experience, including substantial data engineering work.

What you will do

Own the architecture and evolution of the data platform, defining the long term roadmap and future state.
Set the technical strategy for large scale platform enhancements, balancing ambitious goals with incremental delivery.
Partner with engineers and leaders from data, platform, and security groups to deliver a unified and secure architecture.
Create architectural artifacts such as design documents, threat models, and technical specifications to clarify and align complex initiatives.
Mentor the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices.
Implement foundational components of the new architecture with hands on coding, providing a practical model for others to follow.

What we’re looking for

A passion for building secure, reliable, and scalable data systems.
8+ years of software development experience, with 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.
Ability to navigate ambiguity, define a path forward, and lead others to successful outcomes.

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes

Benefits

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

The Auth0 Data Engineering Team

Pipeline team, located near the Platform team and data producers, responsible for efficient data ingestion and providing quick access to unmodeled data.
Warehouse team, aligned with business teams and data consumers, modeling the data in the data warehouse to abstract complexity for analysis, reporting, and decision making.
Interface team, creating and managing connections between the data platform and external systems to ensure consistent and reliable data access.

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Today

Staff Data Engineer

Okta Washington, DC

Washington, DC

Today

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

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Job Description

Okta is seeking a Staff Data Engineer to steer the architectural evolution of the companys data platform, beginning with FEDRamp compliance. The role entails close collaboration across data, platform, and security groups to define and execute the architectural roadmap. This position is based in Washington, DC with a hybrid work arrangement and offers a salary range of USD 174,000 to 238,700 per year, requiring at least eight years of relevant software experience.

Responsibilities

Guide the ongoing design and evolution of the data platform, establishing a roadmap toward the target architecture.
Shape the 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 craft a unified and secure architecture.
Produce architectural artifacts such as design documents, threat models, and technical specifications to provide clarity and alignment on complex initiatives.
Serve as a technical mentor and multiplier for the Data Engineering team, raising performance through guidance, code reviews, and dissemination of best practices.
Implement foundational components of the new architecture, validating designs with hands on coding and providing a model for peers to follow.

Requirements

A commitment to building secure, reliable, and scalable data systems.
8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
Proven experience delivering large scale, cross functional technical projects.
Extensive experience designing 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, enabling clarity and decisions on complex technical topics.
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, positioned 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, focused on modeling data in the data warehouse to simplify analysis, reporting, and decision making
Interface team, accountable for building 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

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1d ago

Principal Software Engineer / Tech Lead

Leidos Arlington, VA

Arlington, VA

1d ago

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

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Job Description

The Principal Software Engineer and Technical Lead role supports the Compartmented Enterprise Services Office (CESO) in Arlington, VA, focusing on building and migrating secure web services on a highly automated, high security cloud platform.

Location

Arlington, Virginia, onsite

Salary

USD 131,300 to 237,350 per year

Qualifications

Active TS/SCI security clearance
Bachelor's degree and 12+ years of experience; additional years may be considered in lieu of a degree
Proven ability to lead multiple teams and deliver complex software systems
Strong leadership, organizational, and documentation skills
Solid 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, and Terraform
Hands-on full SDLC Agile software development experience, including production deployment
Experience designing, building, and deploying DevOps pipelines with Bitbucket, Git, Jenkins, Artifactory and Ansible (or equivalents)
Exceptional leadership, communication, and stakeholder management abilities
Experience working in a high op tempo, top secret environment
Experience tracking projects in Jira or equivalent Agile project management software
Experience with technologies such as GitHub, Gradle, PowerShell, Java Full Stack, Oracle 19c, and Webservices

Responsibilities

Participate in Agile teams and help translate mission outcomes and prioritized backlog items into delivery plans and sprint goals
Lead development and integration of secure APIs and data pipelines (structured and unstructured)
Apply a technology stack including JavaScript, GitLab, Jenkins, Ansible Automation, Python, Java, PSSQL, YAML, and Terraform
Develop automated CI/CD build and deployment pipelines using Jenkins, Ansible, and Bitbucket
Implement DevSecOps practices, CI/CD pipelines, automated testing, observability, and security controls
Manage software release version control and provide release management support across the life cycle, ensuring consistent and reliable builds
Define and drive long-term technical strategy and architectural direction across 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
Build and sustain 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
Collaborate 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

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

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1d ago

Senior Software Engineer

Liberty Mutual Columbus, OH

Columbus, OH

1d ago

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

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Job Description

Liberty Mutual offers a robust benefits package, flexible work options, opportunities for professional development, and an inclusive culture supported by Employee Resource Groups. This U.S. based opportunity is remote-friendly with a hybrid schedule in Columbus, OH, requiring two days in the office each week.

Benefits

Comprehensive benefits
Workplace flexibility
Professional development opportunities
Employee Resource Groups

Role Overview

As a Senior Software Engineer on the Platform Ecosystems team, you will help shape the internal software delivery platform by building backend services, APIs, automations, and event-driven systems. The role focuses on improving the developer experience and expanding our engineering ecosystem, with collaboration across squads to weave platform capabilities into delivery workflows.

Responsibilities

Platform Services Engineering: design, implement, and maintain backend services, APIs, and automation that power and extend the internal software delivery platform.
Core Platform Ownership: build and enhance integrations, automation, access patterns, and operation of core software delivery SaaS platforms.
Event-Driven Workflows: design and support event-driven workflows using AWS components such as Lambda, SQS, and Kafka.
Integration & Automation: develop integrations, wrapper APIs, and service layers that extend vendor tooling and reduce manual operational effort.
Platform Reliability: improve reliability, observability, and scalability of platform services through proactive design and operational excellence.
Cross-Team Collaboration: partner with engineering squads to integrate platform capabilities into delivery workflows and enhance the 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 of 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 networking in cloud environments

About the Team

The Platform Ecosystems group owns the core software delivery platforms and integrations used by thousands of Liberty Mutual engineers. The team builds, operates, and evolves the developer tooling ecosystem that powers software delivery at enterprise scale, including a large-scale eventing platform that processes millions of daily events to enable downstream workflows.

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1d ago

PCF Developer / Lead ( USC,GC,EAD GC,&TN ) Can Apply

Sonsoft Inc Riverwoods, IL

Riverwoods, IL

1d ago

Full time Backend Developer Cloud Cloud Native

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Job Description

Full-time on-site PCF Developer / Lead in Riverwoods, IL, eligible for USC, GC-EAD, or TN status with no sponsorship offered.

Responsibilities

Proven experience in Pivotal Cloud Foundry application development technologies.
Designing and deploying cloud-native enterprise applications in public or private cloud environments.
Hands-on design and development of cloud-native applications.
Knowledge of Spring, Spring Boot, and Spring Cloud.

Requirements

Bachelor's degree or foreign equivalent required; three years of progressive experience in lieu of every year of education may be considered.
12 to 14 years of experience within Information Technologies.

Technologies

Pivotal Cloud Foundry
Spring
Spring Boot
Spring Cloud

Additional information

U.S. citizens or individuals authorized to work in the United States are encouraged to apply; sponsorship is not offered at this time.
Full-time and permanent employment opportunity.
Only candidates with US citizen status, GC-EAD, or TN may apply.
No H4-EAD, L2-EAD, OPT-EAD, or H1B candidates please.
Please mention your visa status in your email or resume.