The Senior Cyber GRC Analyst is a key role within the GRC team and strengthens REA's cyber resilience by leading the identification, assessment and treatment of technology and information security risks, ensuring our products and platforms comply with relevant security, privacy and regulatory requirements, and enabling informed, risk-based decisions that protect our customers, people and brand while supporting sustainable business growth.
Responsibilities
Design, implement and continuously improve cyber GRC frameworks, policies, standards and supporting processes
Work closely with other teams within REA Security to ensure they are effectively prioritising the building and operation of cyber security controls
Coordinate and oversee control assurance activities (e.g. control testing, audits, attestations) and track remediation through closure
Ensure that external compliance obligations and audits are appropriately prepared for and managed
Provide specialist cyber GRC advice and coaching to technology and product teams to embed secure-by-design and risk-based thinking
Requirements
Relevant tertiary qualification in Information Security, IT, Risk or related discipline, or equivalent practical experience
Own the engineering and integration layer of AI capabilities into the software delivery toolchain, ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams.
Responsibilities
Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value
Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness
Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as CI/CD, observability, and developer workplace
Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices
Drive best practices for automation, monitoring, and reproducibility, promoting a culture of continuous improvement
Requirements
Master or Bachelor in Computer Science or a related area
Provide technical leadership across the engineering community while remaining hands-on with design, architecture and delivery to shape the technical direction of front-end and digital platforms.
Compensation
Bonus potential (performance and business-related)
Responsibilities
Shape the technical direction of front-end and digital platforms
Influence engineering standards across the organisation
Partner with engineers, architects and product teams to solve complex technical challenges
Design and build modern, cloud-native solutions using TypeScript, React, Node.js and AWS
Shape engineering standards, architectural patterns and best practices
The AVP, Disaster Recovery is responsible for leading the development, implementation, and continuous improvement of LPL Financial's enterprise disaster recovery program.
Compensation
Pay Range: $111,755.00 - $186,224.00
Responsibilities
Lead the design, development, implementation, and continuous improvement of LPL Financial's enterprise disaster recovery program and strategy.
Establish disaster recovery standards, governance, testing practices, and recovery expectations aligned with business objectives, technology strategy, and regulatory requirements.
Review business impact analyses (BIAs) and risk assessments to identify critical systems and applications and establish appropriate RTO and RPO requirements.
Lead the enterprise DR testing program, including tabletop exercises, functional recovery tests, technical exercises, and large-scale simulations.
Assess DR testing results, identify material risks and recovery gaps, establish remediation priorities, and drive accountability for resolution.
Requirements
Master's degree in Computer Science, Information Technology, Business Administration, or a related field
Senior engineer on a small team with a large amount of ownership and autonomy, reporting to an engineering manager and partnering closely with the team's tech lead on technical direction. You will lead projects end to end, from ambiguous problem to design, implementation, production rollout and operation, across Catalog Store services and datastores.
Locations (4)
Ontario, Canada
Alberta, Canada
British Columbia, Canada
Nova Scotia, Canada
Compensation
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$168,000—$177,500 CAD
Responsibilities
Own the health and evolution of self-hosted PostgreSQL fleet on AWS EC2: sharding, replica topology, capacity planning, backups and restores, schema and index tuning, upgrades, and retiring legacy clusters
Build, support and continuously improve the infrastructure that underpins both internal business systems and public-facing services for National Records of Scotland.
Responsibilities
Support and maintain infrastructure solutions and services, including hardware, software, networking, storage, physical infrastructure, COTS and open-source technologies.
Apply and explain information security principles and security controls to help protect systems, services and data.
Support virtualised and cloud-based environments, including IaaS, PaaS and SaaS solutions.
Assist in troubleshooting, investigating and resolving issues across systems, processes and services, recognising their operational, tactical or strategic impact.
Contribute to the implementation of fixes, preventative measures and continuous service improvements.
Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for simple and basic scenarios.
Locations (2)
Hyderabad, Telangana, India
Pune, Maharashtra, India
Compensation
Competitive salary and performance-based bonuses
Responsibilities
Acquire and curate data for analytical and operational use
Publish data in ready-to-use form across all consumers
Translate business analytic requests into design, development, testing, deployment, and production maintenance tasks
Consult on data projects of limited complexity
Produce data building blocks, models, and flows for client requests
Drive new datastore systems to production, from ingestion and data freshness to migrating APIs onto them with shadow testing, staged rollouts and clear deprecation plans
Optimize and harden Temporal-based ingestion workflows that keep catalog data fresh, reliable and observable
Write and review design documents, make sound technical trade-offs, and drive alignment with partner teams across other Instacart pillars
Raise the bar for reliability through strong observability, SLOs, automation and runbooks, take part in the team's on-call rotation, and lead incident response and follow-up for systems you own
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience