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Engineering Lead Manager, Index Exchange

Staff AJL — Wed, 04 Dec 2024 16:56:10 +0000

Company	Index Exchange
Job title	Engineering Lead Manager, Production Operations
Job location	London, England, United Kingdom
Type	Full Time

Responsibilities:

Team Building: Recruit, hire, and train a skilled team of ProdOps Engineers to establish a fully operational ProdOps team from scratch. Develop team goals, performance metrics, and performance evaluation processes. Foster a collaborative and inclusive team culture that promotes teamwork, innovation, and excellence.
Infrastructure Monitoring and Troubleshooting: Oversee the monitoring of our company’s global infrastructure using management tools to detect and resolve infrastructure issues proactively. Lead the troubleshooting efforts to resolve incidents in a timely manner, and escalate issues to appropriate teams for further investigation and resolution when necessary.
Incident Management: Establish and enforce incident management procedures, including incident reporting, escalation, and resolution processes. Coordinate with other engineering teams and external vendors to resolve technology incidents, minimize downtime, and ensure service level agreements (SLAs) are met.
Infrastructure Automation & Optimization: Continuously analyze infrastructure performance data, identify trends, develop and implement strategies to optimize performance and minimize disruptions. Collaborate with other engineering teams to automate and optimize for improved performance, implement upgrades, and changes to enhance infrastructure reliability, capacity, and security.
Documentation and Reporting: Develop and maintain comprehensive documentation, including network diagrams, run books & standard operating procedures (SOPs), and incident reports. Generate regular reports on performance, incidents, and trends to senior management and stakeholders.
Vendor Management: Establish and maintain relationships with technology equipment vendors, service providers, and other relevant stakeholders. Coordinate with vendors to resolve technical issues, manage maintenance contracts, and ensure timely delivery of services and equipment.
Training and Development: Provide ongoing training and professional development opportunities to the ProdOps team to enhance their technical skills, industry knowledge, and job performance. Mentor and coach team members to foster their growth and career advancement.

Requirements & Skills:

Proven experience in building and managing a 24×7 Production Operations team working with peers and colleagues in a distributed global operation
Strong leadership skills with the ability to motivate, mentor, and develop a high-performing team
In-depth knowledge of on-premise and cloud technology concepts, protocols, and procedures
Strong understanding of monitoring tools, incident management processes, automation, and optimization strategies
Ability to analyze complex technical issues, develop effective solutions, and make informed decisions in a fast-paced environment
Excellent communication skills, both written and verbal, with the ability to communicate technical concepts to non-technical stakeholders.
In-depth understanding of the Linux operating environment: kernel tuning, network stack tuning, system observability & instrumentation, and security & access management.
Solid understanding of layer 2-7 networking fundamentals and the relationship between servers & services, and the transit of their packets through network hardware.
In-depth experience engineering and maintaining a private-cloud infrastructure: Bare-metal, vSphere, KVM, Kubernetes.
Experience with tools like Ansible, Terraform, Docker, Kafka, Nexus
Experiencing with observability platforms: Prometheus, ELK, Jaeger, Grafana, Nagios, Zabbix
Familiarity with Big Data tools: Hadoop, HDFS, Spark, HBase
Ability to write code in Go, Python, Bash, or Perl for automation.

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Solution Architect – Data & Analytics, Air Canada

Staff AJL — Wed, 04 Dec 2024 16:51:21 +0000

Company	Air Canada
Job title	Solution Architect, Data & Analytics
Job location	Toronto, Ontario, Canada
Type	Full Time

Responsibilities:

Create detailed solution design and reviews across relevant stakeholders to ensure alignment to the overall business needs including architecture overview, detailed solution architecture and documentations necessary the architecture decisions.
Analyze, document, and optimize the overall solution architecture by developing design principles, models, plans, internal standards, budgets, and processes aligned on industry best practices.
Provides technical oversight and recommendations on data infrastructure (on-premises and Cloud), Data Engineering and BI tool configuration to project teams.
Participate in the selection of relevant technologies and products when solicited.
Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to audiences with limited expertise related to the selected technology.
Support the delivery of the solution by providing insights to the development teams and project managers that plan and execute delivery activities.
Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work.
Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards and best practices defined by the enterprise architecture team.
Provide architectural leadership to development teams, and serve as the primary architect resource, and provide technical guidance and leadership to all internal and external teams involved in the implementation process.
Create solution architecture documents that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with enterprise architects as well as others solution architects.
Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented.
Build standard solution templates for different business use cases.

Requirements & Skills:

Bachelor’s degree in a related field (Information Technology, Engineering). An advanced degree in a related area, an asset.
Minimum of 10 years of IT experience, of which minimum 5 as a solution experience working with integrated Enterprise systems
Effective organizational skills with strong attention to detail for production of high-quality deliverables
Having Snowflake certifications is must.
Strong Knowledge of ETL/ELT frameworks using Snowflake, Talend, Azure Data Factory, and Databricks Notebooks(Pyspark).
Strong knowledge in warehousing concepts and Snowflake based Enterprise Warehouse.
Strong knowledge of Azure based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, Events hub.
Knowledge of designing and implementing Gen AI based solutions specially on Snowflake.
Highly advanced expertise with data manipulation and visualization tools such as Power BI.
Must have some experience in at least one of the following RDBMS environments: MS SQL Server, Oracle.
Expert knowledge of SQL and demonstrated ability to apply SQL creatively to a wide variety of business requirements.
Strong Knowledge of ETL/ELT tools such as Talend or other as well as standards and best practices for ETL development.
Knowledge on designing and implementing real time ingestion and processing framework.
Proficient in building secure architecture using: Encryption, azure key vault, Access control, Network security, Advanced data security.
Organizing and maintaining data processes to meet ongoing data warehouse lifecycle needs.
Model the data using Dimensional Data Modelling, Data marts, Data Vault 2.0 modeling principles.
Knowledge of Master Data and Reference Data concepts and solutions
Knowledge of Big Data concepts, Cloud Solutions such as Azure.
Good knowledge of Data Governance principles & tools such as Collibra.
Strong analytical, decision-making skills and demonstrated ability to learn new tools and systems.
Knowledge in APIs, web services concepts, standards and JSON, XML, XML Schema.
Experience in designing and implementing large data workloads with particular attention to security, scalability, and high performance.
Ability to work across multiple technical teams to set direction and priority.
Ability to work independently and as part of a team while demonstrating initiative and using good business acumen.
Ability to motivate and integrate team members, Team player with effective interpersonal skills.
Experience working within multidisciplinary and collaborative environments.

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Sr. Manager – BI & Data Visualization, McAfee

Staff AJL — Wed, 04 Dec 2024 16:45:58 +0000

Company	McAfee
Job title	Sr. Manager, BI & Data Visualization
Job location	Canada
Type	Full Time

Responsibilities:

Be a data visualization and analytics thought partner to leadership defining and implementing a data visualization strategy and center of excellence aligned to business goals.
Oversee end-to-end development lifecycle of reporting solutions (e.g. interactive dashboards, general reporting templates) ensuring quality, accuracy and scalability.
Evaluate and recommend modern technologies (e.g. natural language queries) to enhance reporting capabilities on structured data sets for faster time to insight.
Create a clear implementation process, while managing capacity and timelines ensuring successful delivery.
Lead and mentor a growing team of BI / Data Visualization Developers providing guidance in code review, UI/UX best practices and iterative dashboard development.
Champion a data culture of self-service driving continuous reporting solution adoption with stakeholders through user-friendly features.

Requirements & Skills:

You have 5 – 7+ years of experience as a BI Developer/Analyst / Analytics Engineer developing scalable reporting dashboards in Power BI, Tableau, and/or other visualization tools.
You have 5+ years of managing a team of BI developers, analytics engineers, or analysts in an agile / Scrum environment and a demonstrated history of steering reporting solution initiatives cross-functionally with success.
You have experience collaborating with business stakeholders, impacting decision-making processes, providing business improvement recommendations, and data/visualization storytelling.
You have a proven ability to develop SQL/SparkSQL and experience in modern cloud-based data warehouses, as well as a strong understanding of large event-based data sets and diverse schemas.
You have experience implementing natural language queries (NLQs) into dashboards, increasing data literacy and adoption across the organization.
You have an exceptional understanding of UI/UX best practices with a keen eye for visual design and attention to detail.
You have a strong sense of business acumen and strategic thinking.
You have strong interpersonal skills communicating with technical and non-technical audiences and can build relationships outside of your team reporting structure.
You have experience translating business stakeholder needs into technical design documentation.
You have a direct-to-consumer background or history of working in subscription services.

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Senior Integration Technical Architect, Definity

Staff AJL — Wed, 04 Dec 2024 16:41:27 +0000

Company	Definity
Job title	Senior Integration Technical Architect
Job location	Toronto, Canada
Type	Full Time

Responsibilities:

Architect and Develop Integration Solutions: Expertly design, develop, and maintain advanced integration solutions using Apigee for API management and Kafka for event streaming, ensuring they are scalable, reliable, and secure.
Establish Patterns: Help in building new integration patterns and maintain the existing pattern inventory with industry trend.
Hands-on Implementation: Evaluate new product feature in the integration and cloud platforms by implementing them and assessing the technical feasibility. Lead hands-on design, development, configuration, and deployment of integration platforms and solutions, focusing on APIs, microservices, service mesh, and multi-cloud environments (GCP and AWS) with an expert level of proficiency.
Platform Strategy and Standards: Define and enforce best practices, standards, and patterns for integration platforms, ensuring alignment with enterprise architecture and business goals.
Platform Capabilities: Proficiently enable and mature platform capabilities, ensuring that integration platforms are robust, scalable, and aligned with business needs.
Self-Serve Capabilities: Develop and enhance platform self-serve capabilities, empowering development teams to efficiently utilize integration services and tools.
Technical Leadership: Provide expert guidance and mentorship to the integration team, fostering a culture of technical excellence and continuous improvement.
Collaboration: Work closely with cross-functional teams, including Enterprise Architects, Cloud Engineers, Info Security, and business stakeholders, to design and implement integration solutions that meet business requirements.
Innovation and Research: Stay abreast of the latest technologies and trends in integration platforms, continuously exploring ways to enhance our integration capabilities.
Project Management: Lead complex IT projects, managing assumptions, risks, issues, improvements, and dependencies, while adhering to both waterfall and agile methodologies.
Quality Assurance: Ensure all integration solutions are thoroughly tested and meet high standards of quality, security, and performance.

Requirements & Skills:

10+ years of experience in designing, developing, and implementing integration solutions, with a strong focus on API management and event streaming platforms.
Proven expert-level experience with Apigee API management and Kafka streaming platforms.
5+ years of experience in designing integration architecture handling both synchronous and asynchronous use cases.
5+ years of experience in developing and deploying microservices and RESTful APIs, preferably with Java and Springboot.
Significant experience with service mesh technologies and multi-cloud environments (GCP and AWS).
Proven experience working on large transformational projects involving cloud and microservice transformation.
Deep, expert-level understanding of integration protocols and principles, including SOAP, REST APIs, RPC/RFC, Websocket, and GRPC.
Expert proficiency in building the Apigee and Kafka platforms along with knowledge of the consumption of the different features
Strong understanding of Cloud Architecture, and IaC tooling like Terraform
Hands-on, expert-level experience with Java, Springboot, Python, and other relevant programming languages.
Mastery of various architectural styles such as Layered Architectures, Transactional applications, Client-Server, Sync/Async messaging, PaaS, and SaaS-based architectures.
Advanced expertise with containerization technologies (e.g., Kubernetes).
Strong background and expert-level knowledge in API REST and integration platforms, with a deep understanding of integration patterns and best practices.
Proven experience in enabling and maturing platform capabilities.
Experience in developing platform self-serve capabilities.
Experience in implementing observability solutions for microservice architecture using tooling like DataDog, Dynatrace, App Dynamics, and Prometheus/Grafana.
Ability to work in an Agile environment with a strong practice in BDD, TDD, CI, CD, and related tools (e.g., Git, BitBucket, Jenkins, Confluence, JIRA, Swagger).
Ability to analyze the current CI/CD landscape and propose enhancements to optimize the time and process.
Expertise in managing and automating the integration lifecycle.

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Data Scientist, Intact Lab

Staff AJL — Wed, 04 Dec 2024 16:37:35 +0000

Company	Intact Lab
Job title	Data Scientist I
Job location	Hong Kong
Type	Full Time

Responsibilities:

Develop innovative solutions using machine learning and advanced statistics to solve business problems.
Influence the AI roadmap of the biggest P&C insurer in Canada.
Keep pace with new approaches and trends and use them in your own solutions.
Work within a multi-disciplinary environment mixing people from data science, software engineering, actuarial science, business and design.
Share knowledge with interns and other data scientist to grow, as a team All this, while keeping a good work-life balance.

Requirements & Skills:

A bachelor’s degree in a quantitative discipline such as mathematics, science, engineering, statistics, AI, computer science, or a related field. MSc and/or PhD are an asset.
2+ years of experience in the field of data science, machine learning, and advanced statistics solving business problems.
Programming experience in languages such as Python or R as well as knowledge of software engineering best practice or a strong desire to learn it.
Familiar with the underlying theory of machine learning (supervised, unsupervised,d and reinforcement learning).
The commitment to be a great, collaborative teammate.
Unlimited curiosity and a passion to challenge the status quo.
Ability to focus on vaguely defined issues requiring the application of a creative approach.
Strong communication, time management, and work organization skills.

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Sales Manager, Danaher

Staff AJL — Tue, 03 Dec 2024 14:37:42 +0000

Company	Danaher
Job title	Sales Manager, Cellular Automation Workflow Sales
Job location	United States of America
Type	Full Time

Responsibilities:

Drive growth & gain market share through effective territory planning for North America. Achieve NA sales targets and company goals through successfully developing & maintaining a High Performing Cellular Automation Workflow Solutions sales team.
Actively represent Molecular Devices and Danaher at industry events. Engage High Impact customers to drive Executive level partnerships, as well, understand market trends, ensure team positions Molecular Devices’ full portfolio to supply the preferred innovative solutions to accelerate discovery.
Collaborate with and leverage internal and Cross-OPCO Danaher teams. Develop and support Danaher solutions that exceed the customers’ expectations leveraging the entire MD portfolio and generate demand for new technologies.
Champion Molecular Devices standard sales processes, Danaher Business Systems, and digital tools to drive sustainable success for Molecular Devices, the customer, the team, and yourself. Provide accurate weekly forecasts and daily quote approvals.
Drive strategic growth through evolving Strategic Partnerships with Large Channel Partners in NA

Requirements & Skills:

Bachelor’s Degree or higher in a related Life Sciences discipline.
A minimum of 5 years of successful Capital Equipment Sales experience, engaging and selling into the life science, drug discovery, Biotech, or related industry.
5+ years of managing/mentoring members of a sales organization and demonstrated capability in the leading, hiring, development, and management of sales professionals.
5+ years selling through Large Channel Partners
Residing within the listed territory and willing to invest 60% of working time in field interacting with sales reps, leadership, and customers.
Successful track record of early identification and development of new technologies and applications which enhance the organization’s ability to market, sell and service existing and new customer solutions systems.
Capacity for strategic planning as well as tactical implementation, including Large Channel Partners. Using metrics and key performance indicators to identify gaps and developing appropriate countermeasures to close them.
Knowledge of Cellular Automation Workflow, as well as 3D Biology, is ideal.

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