As a Senior Cloud Security Engineer at 7shifts, you won't just maintain our security posture, you'll raise it. Working closely with engineering squads, infrastructure, and every team in between, you'll automate what's manual, secure what's growing fast, and help us build security into the way we work rather than bolting it on after. Reporting to our Director of Information Security and Privacy, you'll own meaningful work across cloud security, SOC 2, and the AI tooling frontier, at a company that actually moves fast enough to make it interesting.

What you’ll do:

• Replace manual SOC 2 evidence collection with automated drift detection by building Security-as-Code directly into our GCP/GKE environment
• Partner with engineering squads to embed security into the Definition of Done, so it ships with the feature, not after
• Engineer and tune Datadog SIEM detections to cut noise, surface what matters, and route high-fidelity alerts straight to #secops
• Reduce PII exposure in real troubleshooting workflows by building masking and synthetic data tooling that developers actually want to use
• Own vulnerability management end-to-end, from identifying risks to implementing mitigations across the org
• Lead incident response when it counts and run tabletop exercises so the team is ready before it does
• Evaluate and onboard new security tooling by running POCs, gathering requirements, and making calls that move us forward without slowing teams down
• Assist with execution and deliverables pertaining to Information Security roadmap
• React promptly, decisively, and independently in high-stress situations

What you bring:

• 5+ years implementing security controls and operations in a SaaS environment
• Hands-on with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), and comfortable securing the CI/CD pipelines and GitHub Actions workflows that engineering teams actually ship through
• Real experience seeing a SOC 2 audit through to completion, not just participating in one
• Actively using AI tooling in your work today, with the judgment to help teams adopt it quickly and the instinct to know where it introduces risk
• Know your way around Infrastructure-as-Code and can spot a misconfiguration before it becomes a problem
• Understand how modern software gets built, including PR processes, and can work within them without slowing anyone down
• A strong communicator who can translate complex security tradeoffs clearly to engineers, executives, and everyone in between
• A creative problem solver who figures things out even when the resources, the team, or the playbook aren't there yet

It’d be even cooler if you had:

• Proficient in Python or Go for security automation, with the ability to read and understand code,  experience with PHP or Elixir is a significant advantage in our environment
• Deep familiarity with security technologies, including SIEM, and hands-on experience with Datadog for observability-driven security
• Solid grounding in application security, threat and risk assessments, and security risk management, with exposure to bug bounty programs as a plus

This role is an existing vacancy and is part of our current hiring plan 

Compensation

The base compensation range for this position is $130,000-$160,000 annually. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow.

Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process.

As a Senior Cloud Security Engineer at 7shifts, you won't just maintain our security posture, you'll raise it. Working closely with engineering squads, infrastructure, and every team in between, you'll automate what's manual, secure what's growing fast, and help us build security into the way we work rather than bolting it on after. Reporting to our Director of Information Security and Privacy, you'll own meaningful work across cloud security, SOC 2, and the AI tooling frontier, at a company that actually moves fast enough to make it interesting.

What you’ll do:

• Replace manual SOC 2 evidence collection with automated drift detection by building Security-as-Code directly into our GCP/GKE environment
• Partner with engineering squads to embed security into the Definition of Done, so it ships with the feature, not after
• Engineer and tune Datadog SIEM detections to cut noise, surface what matters, and route high-fidelity alerts straight to #secops
• Reduce PII exposure in real troubleshooting workflows by building masking and synthetic data tooling that developers actually want to use
• Own vulnerability management end-to-end, from identifying risks to implementing mitigations across the org
• Lead incident response when it counts and run tabletop exercises so the team is ready before it does
• Evaluate and onboard new security tooling by running POCs, gathering requirements, and making calls that move us forward without slowing teams down
• Assist with execution and deliverables pertaining to Information Security roadmap
• React promptly, decisively, and independently in high-stress situations

What you bring:

• 5+ years implementing security controls and operations in a SaaS environment
• Hands-on with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), and comfortable securing the CI/CD pipelines and GitHub Actions workflows that engineering teams actually ship through
• Real experience seeing a SOC 2 audit through to completion, not just participating in one
• Actively using AI tooling in your work today, with the judgment to help teams adopt it quickly and the instinct to know where it introduces risk
• Know your way around Infrastructure-as-Code and can spot a misconfiguration before it becomes a problem
• Understand how modern software gets built, including PR processes, and can work within them without slowing anyone down
• A strong communicator who can translate complex security tradeoffs clearly to engineers, executives, and everyone in between
• A creative problem solver who figures things out even when the resources, the team, or the playbook aren't there yet

It’d be even cooler if you had:

• Proficient in Python or Go for security automation, with the ability to read and understand code,  experience with PHP or Elixir is a significant advantage in our environment
• Deep familiarity with security technologies, including SIEM, and hands-on experience with Datadog for observability-driven security
• Solid grounding in application security, threat and risk assessments, and security risk management, with exposure to bug bounty programs as a plus

This role is an existing vacancy and is part of our current hiring plan 

Compensation

The base compensation range for this position is $130,000-$160,000 annually. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow.

Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process.

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
• Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
• Write production Elixir and Python services for event processing, transformation, and routing
• Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
• Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
• Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
• Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

• 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
• Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
• Advanced SQL skills for data modeling, query optimization, and analytical workloads
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
• Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
• Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
• Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $145k CAD - $185k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
• Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
• Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
• Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
• Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements

Qualifications:

• Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
• Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
• Strong familiarity with SQL with the ability to write and optimize queries
• Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
• Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
• Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
• Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
• Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
• (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
• (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
• (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $145,000-$185,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

You’ll be joining an Analytics team responsible for all measurement, attribution, and the creation of an intuitive reporting UI for our digital marketing platform. This is a unique opportunity to shape how marketers view and interact with data - transforming raw metrics into insights that drive impactful campaigns and real business value. Join us to make your mark on a fast-growing team, take ownership of innovative projects, and work closely with cross-functional partners to build a product that marketing teams rely on daily.

Responsibilities:

• Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities
• Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights
• Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights
• Own key backend components—from service architecture to deployment and monitoring—ensuring reliability, scalability, and performance at scale
• Champion engineering best practices around code quality, testing, observability, and system health
• Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience
• Experience building and maintaining large distributed systems at scale that are fault tolerant and highly concurrent
• Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
• Strong foundation in modern backend development (e.g. python, ruby, etc. - we use Python and Elixir)
• Experience with functional programming principles (we use Elixir)
• An understanding of common web based API architectures (RESTful, GraphQL) and technologies (gRPC)
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, RabbitMQ)
• Experience with both OLTP and OLAP systems, including designing schemas and optimizing queries
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use tools such as Docker, Kubernetes, Github Actions, etc.)
• Strong technical leadership skills with the ability to collaborate with others, communicate effectively, advocate appropriately and mentor more junior engineers to improve team efficiency 
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues, and communicate to others on the team how to contribute to the solutions for these issues.
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $140,000-$180,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.