Staff Software Engineer, IAM Job at Mozilla

Staff Software Engineer I - Internal Access Management

We are seeking a Staff Software Engineer to lead the technical vision, architect...

Location

Salary:

225100.00 - 264500.00 CAD / Year

Confluent

Expiration Date

Until further notice

Requirements

10+ years of engineering experience
4+ years in security, IAM, or distributed systems
Deep expertise in Kubernetes, workload identity, cloud IAM (AWS, GCP, Azure), and zero-trust architectures
Strong understanding of authentication technologies: IAM, OAuth2, OIDC, policy engines, and modern zero-trust principles
Proven track record leading multi-team technical initiatives at a Staff or Senior Staff level
Strong knowledge of distributed systems, cloud infrastructure, container orchestration, and service mesh
Excellent communication and stakeholder-influence skills across engineering and security domains

Job Responsibility

Define and drive the long-term architecture and roadmap for Internal Access Management across Kubernetes and multi-cloud environments
Architect and implement least privilege, just-in-time access, and zero-trust models across Confluent services
Build and evolve scalable access-authorization workflows and lifecycle management systems using technologies such as SPIFFE/SPIRE, OPA, cloud IAM policies, workload identity, and internal enforcement engines
Strengthen security boundaries through threat modeling, defense-in-depth practices, and comprehensive access-auditing capabilities
Partner with cross-functional teams—including Platform, Kafka, Observability, Developer Productivity, Release Engineering, and SRE—to drive adoption of secure identity and access patterns
Mentor senior engineers, elevate engineering standards, and influence architectural decisions across the organization
Communicate complex technical decisions clearly and align stakeholders across engineering and security

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

Fulltime

Staff Security Engineer, IAM

We are looking for a Staff Security Engineer (L6) with deep expertise in Identit...

Location

United Kingdom , London

Salary:

Not provided

DELIVER

Expiration Date

Until further notice

Requirements

7+ years of experience in software or security engineering, with significant hands-on technical depth
Strong experience in at least one modern programming language (Go, Java, Scala, Python, or similar)
Proven experience designing and operating IAM systems in a cloud-first environment
Deep understanding of authentication and authorisation protocols: SAML, OAuth2 / OIDC, SCIM, MFA and modern identity assurance methods
Experience with identity providers and directories such as Okta, Azure AD, Google Cloud Identity, or Active Directory
Hands-on experience with identity governance platforms (e.g., ConductorOne, SailPoint IdentityNow), including lifecycle management, access reviews, and ABAC models
Strong understanding of cloud IAM (AWS IAM, GCP IAM, Azure RBAC)
Experience building secure integrations and automation using REST APIs and event-driven architectures
Experience leading significant cross-team security initiatives
Strong knowledge of RBAC, ABAC, PAM, and Zero Trust architecture principles

Job Responsibility

Own and evolve Deliveroo’s IAM architecture across identity providers (e.g., Okta, Azure AD, Google Cloud Identity), identity governance (e.g., ConductorOne, SailPoint IdentityNow), and cloud IAM (AWS/GCP)
Design scalable solutions for authentication, authorisation, provisioning, deprovisioning, RBAC/ABAC, JIT access, and privileged access management
Drive improvements to access governance processes including certifications, SoD controls, and policy enforcement
Lead implementations and technical integrations between domains, ensuring engineering core principles are adhered to
Develop ‘Paved Roads’ for stakeholders enforcing IAM best good practices to teams
Developing bespoke integrations between IAM platforms and internal systems to ensure seamless lifecycle management and access governance
Building middleware solutions to address edge cases (e.g. automated group creation where authoritative HR data does not exist)
Designing and implementing self-service RBAC capabilities that enable business teams to manage roles within defined guardrails
Creating automation layers that enhance ROI from commercial tooling by reducing manual effort and embedding controls into engineering workflows
Extending off-the-shelf platforms with APIs, event-driven services, and workflow orchestration to meet Deliveroo’s scale and complexity

What we offer

25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
One day of paid leave per year to volunteer with a registered charity
Funded single cover healthcare on our core plan, with the option to add family members at own cost
On-site gym (HQ), discounted external gym membership
Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
Life assurance
Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
Excellent kit to enable working from home and a parent-friendly working culture
Access to free mortgage advice

Staff Software Engineer - IAM

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure. Thi...

Location

United States , San Francisco; Bellevue

Salary:

296000.00 - 445000.00 USD / Year

Lambda

Expiration Date

Until further notice

Requirements

8+ years of backend or platform engineering experience
3+ years leading IAM or authentication/authorization initiatives
Deep expertise in modern IAM patterns and technologies: Authentication (OIDC, OAuth2, SAML), Authorization (RBAC, ABAC, fine-grained permissions), MFA and advanced authentication factors, SCIM and identity lifecycle management
Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale
Strong architecture and systems design skills for distributed, multi-tenant SaaS environments
Proven track record of delivering IAM features in security-sensitive, high-uptime environments
Solid programming experience in Python, Go, or similar languages
Comfort with IaC (Terraform, Atlantis, Crossplane)

Job Responsibility

Help define and deliver Lambda’s next-generation Identity and Access Management platform
Design IAM systems that anticipate the needs of highly technical users
Lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services
Design and build intuitive, beautiful web interfaces for ML/AI cloud users
Integrate top-tier tooling, workflows, and models from the AI space
Own features end-to-end—from design to deployment to monitoring

What we offer

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan

Fulltime

Staff Software Engineer

We are looking for a Staff Software Engineer to join our core machine learning a...

Location

United States , North Bethesda

Salary:

140000.00 - 230000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar
A Bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience
Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration
Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security
Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform
REST API design and implementation
Object oriented and functional programming in Python
Multimodal data processing (e.g., combining text, image, and 3D data)
Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis
Containerization technologies (Docker and Kubernetes)

Job Responsibility

Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines
Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization
Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering
Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics.

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources.

Fulltime

Staff Software Engineer

Xometry is seeking a Staff Software Engineer to join our core machine learning a...

Location

United States , Waltham

Salary:

140000.00 - 230000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar
A Bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience
Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration
Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security
Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform
REST API design and implementation
Object oriented and functional programming in Python
Multimodal data processing (e.g., combining text, image, and 3D data)
Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis
Containerization technologies (Docker and Kubernetes)

Job Responsibility

Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines
Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization
Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering
Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics.

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources.

Fulltime

Staff Data Ops Engineer - Platform

We are looking for a Staff Data Ops Engineer - Platform to join the Data & AI Pl...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, or Staff Data Ops or Staff Site Reliability Engineer or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Staff DevOps - Data Platform

We are looking for a Staff DevOps - Data Platform to join the Data and ML Platfo...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior Staff Engineer - Backend IAM

The Identity organization is the gateway to Uber’s ecosystem, managing the found...

Location

United States , Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

BS or equivalent in Computer Science, or related field
10-years full-time Software Engineering work experience
Designing and building large scale distributed systems, including launching and migrating a large backend platform to 100's of millions of users
Customer facing Platforms/SaaS serving 100's of millions of customers

Job Responsibility

Architectural Vision: Anticipate and solve large-scale challenges 1–2 years ahead, ensuring our systems remain modular and future-proof
Engineering Excellence: Drive the adoption of organizational standards—including GenAI integration—while raising the bar for code quality through hands-on development and reviews
Strategic Innovation: Identify and lead high-impact technical bets, balancing bold experimentation with the discipline to 'fail fast'
Efficiency at Scale: Design enduring artifacts that reduce system complexity, accelerate developer velocity, and optimize reliability
Collaborative Leadership: Build deep partnerships across Product, Design, and Operations, while fostering an inclusive environment where diverse perspectives drive innovation

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Staff Software Engineer, IAM

Mozilla

Location:
United States; Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 02, 2026

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