Software Engineer

Senior Software Engineer (Java) - Identity & Verification

As a Software Engineer on the Identity & Verification team, you will have full o...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Strong foundation in Java, with experience building web services and REST APIs
Proven experience in building and maintaining highly scalable and reliable distributed systems
Comfortable with SQL/PostgreSQL and understand how to work with databases effectively
Embrace a culture of operational excellence and have a solid grasp of monitoring best practices, SLOs, and resilience patterns
Naturally takes ownership, seeking the autonomy to drive your work forward
Possess a proactive and inquisitive approach to problem-solving
Strong collaborative spirit and a history of driving technical discussions
Strong interest in advanced software development and design patterns, with a focus on scalability and resilience

Job Responsibility

Design and build solutions for highly scalable and reliable distributed systems that are central to Adyen’s success
Develop and implement the technology, processes, and potential machine learning models for Payments and Know Your Customer (KYC) data collection
and automated verification across the entire customer (merchant & shopper) lifecycle
Contribute to the platform framework that manages the onboarding of legal entities and the integration of identity and verification capabilities
Influence the entire software development lifecycle, from contributing to architectural design and strategic implementation to assisting with testing and deployment
Take end-to-end ownership, seeing your work through the development lifecycle
Uphold high standards for system health by implementing robust monitoring, defining Service Level Objectives (SLOs), and creating effective alerting
Collaborate closely with your team, Product Managers, Customer Onboarding teams, Merchant Operations, and Regulatory teams to refine and implement your ideas
Develop and implement observability tools to proactively monitor system performance and deliver strategic solutions to enhance system reliability and efficiency

New

Senior Principal Software Engineer ( Cloud Infrastructure and Platform Engineering )

Your Career At Palo Alto Networks, Secure Cloud and AI infrastructure is the fou...

Location

United States , Santa Clara

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience
9+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation
Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion
Experience building and scaling platforms that serve thousands of engineers in complex environments
Strong foundation in application and infrastructure security, including secrets management, supply chain security, and secure-by-default platform design
Recognized expertise in developer platforms, cloud-native infrastructure, container orchestration technologies (e.g Kubernetes) and CI/CD
Deep proficiency with a major cloud platform (GCP preferred), including IAM, managed databases, networking, and Workload Identity
Experience designing and maintaining Infrastructure as Code (e.g. Terraform) at scale, including module architecture and state management
Expertise in authentication/authorization systems: OAuth 2.0, OIDC, token lifecycle management, and zero-trust patterns
Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems

Job Responsibility

Define the Vision: Architect and own the technical roadmap for AI-enhanced developer tools and infrastructure in CIPE at Palo Alto Networks
Evaluate and Execute Solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience
Drive Organization-Wide Impact: You are a builder, so you won't just stop at ideation. Beyond concepts, ensure your builds show step-change improvements in key engineering metrics like including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches
Lead Cross-Functional Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership
Enable Secure Innovation: Develop foundational AI platforms that empower teams to prototype, deploy, and scale threat-intelligent cloud features, embedding Palo Alto Networks' security natively
Serve as Technical Authority: Act as the go-to expert on AI-augmented cloud platforms, mentoring senior engineers and infusing industry-leading practices into our high-stakes ecosystem
Innovate at Enterprise Scale: Address intricate challenges in multi-cloud environments (AWS, Azure, GCP, and OCI) supporting thousands of microservices, secure workloads, and global threat detection pipelines

What we offer

restricted stock units
bonus

Fulltime

Azure Platform Engineer / Cloud Operations Architect

This is a great opportunity to join our client who is undertaking a major transf...

Location

United Kingdom , London

Salary:

650.00 - 800.00 GBP / Day

Morson Talent

Expiration Date

Until further notice

Requirements

Strong enterprise Azure engineering and operational experience
Experience supporting Azure environments containing predominantly IaaS workloads
Strong understanding of: Cloud Native Architecture, Azure Networking (vNET's, NSG's, Azure Firewall, Express Routes, VPN Gateways), Virtual Machines, Storage Accounts, Azure Monitor, Log Analytics, RBAC, Azure Policy, Entra ID integration, Hybrid identity concepts
Experience with Infrastructure as Code (Terraform)
Familiarity with DevSecOps approaches within infrastructure deployment pipelines/workflows
Experience of managing cloud platforms using both modern platform & software engineering practices
Experience implementing or supporting Azure Enterprise Landing Zone concepts
Experience with operational governance and platform support models
Strong troubleshooting and technical problem-solving capability
Experience operating within ITIL-aligned environments

Job Responsibility

Provide hands-on engineering support for Azure subscriptions and shared platform services
Support day-to-day Azure operational activities across networking, compute, storage, monitoring, security, and governance
Assist with implementation and operation of Azure Landing Zone aligned patterns
Support platform remediation, standardisation, and technical debt reduction activities
Implement and maintain Azure platform configurations using Infrastructure as Code (Terraform) where practical
Support migration and modernisation initiatives across legacy Azure workloads
Contribute to platform resilience, backup, disaster recovery, and operational recovery planning
Support implementation of Azure Policy, RBAC, tagging standards, management group structures, and guardrails
Help maintain alignment to Microsoft Well-Architected Framework principles
Assist with operational governance across subscriptions and shared services

Fulltime

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime

Codex Cloud builds cloud-first software engineering products and the supporting ...

Location

United States , San Francisco; Seattle

Salary:

230000.00 - 325000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong software engineering fundamentals and experience turning ideas into production-grade large-scale distributed systems
Experience using AI-powered/agentic software development tools
Experience with orchestration of scaled containerization and/or virtualization systems (e.g. Kubernetes, OCI)
Proficiency in one or more backend languages (e.g. Python, Go, Rust) and concurrency/distributed systems concepts
Experience building cross-cutting platform capabilities
Experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls
Experience building developer tools and workflows (CLI/IDE/SDK), automation systems, or integration platforms
Experience working directly with users/customers
Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs

Job Responsibility

Shape the evolution of Codex by identifying how teams use AI-powered software engineering and driving changes across product, infrastructure, and model behavior
Design customer-facing software engineering experiences end-to-end to automate and empower engineers
Build the core team and enterprise primitives that make Codex usable at scale including container orchestration, virtual machine provisioning, execution sandboxes, storage, RBAC, admin surfaces, usage controls, and analytics
Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems
Lead real-world deployments and launches by working directly with customers and GTM to roll Codex out across teams

What we offer

Medical, dental, and vision insurance for you and your family with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents) plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays and multiple paid coordinated company office closures
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend

Fulltime