Rackspace

Responsibilities:Install, configure, and maintain MySQL database servers across development, test, and production environments.Monitor database performance proactively and tune configurations for optimal efficiency.Implement, manage, and test backup and recovery procedures to ensure data integrity and availability.Ensure database security, access controls, and compliance with data protection regulations.Optimize SQL queries, indexes, and database structures for application performance improvements.Manage user roles, privileges, and access permissions.Configure and maintain MySQL replication, monitor replicas, and ensure replication health.Troubleshoot, diagnose, and resolve complex database issues in a timely manner.Design, implement, and support high-availability and disaster recovery solutions (replication, clustering, failover).Collaborate closely with development and operations teams to support database needs and deployments.Maintain detailed documentation of database configurations, standards, and procedures.Manage MySQL deployments in cloud environments such as AWS RDS/Aurora, GCP Cloud SQL, and Azure Database for MySQL.Requirements:Proven experience as a MySQL Database Administrator (DBA) in production environments.Strong understanding of MySQL architecture, internals, and storage engines.Hands-on experience with database performance tuning, query optimization, and profiling tools.Proficiency in configuring and managing MySQL replication (asynchronous, semi-synchronous, GTID-based) and managing replicas.Strong knowledge of MySQL backup and recovery tools such as Percona XtraBackup, MariaBackup, and native MySQL tools.Familiarity with Percona Toolkit and other MySQL utilities for monitoring, maintenance, and troubleshooting.Experience with MySQL version upgrades and database migrations (in-place and cross-platform).Proven experience with high-availability solutions including: Percona XtraDB Cluster (Galera-based), MySQL InnoDB Cluster and good to have if having knowledge on MMM (Master-Master Replication Manager) controller and agent management.Experience with replication topologies (master-slave, multi-source replication, clustering, etc.) and disaster recovery planning.Experience managing MySQL in cloud environments (AWS RDS/Aurora, GCP Cloud SQL, Azure Database for MySQL).Strong SQL skills and proficiency in scripting (Shell, Python, or Perl).Solid knowledge of Linux/Unix/Windows operating systems and system-level troubleshooting.Excellent analytical, problem-solving, and troubleshooting skills.Strong communication skills and ability to work collaboratively in cross-functional teams.Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).Education:High school diploma or equivalent required. Bachelor’s degree in related field of software development, database programming, or computer engineering required.Experience:Six+ years of experience as a MySQL DBA. Experience in software development, database programming, computer engineering or a related technological field. Proven experience implementing and supporting enterprise database systems. Experience in other DB Technologies such as Postgres or Oracle databases is additional advantage. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

MySQL Database Administrator III (rotational Shift) - Immediate joiner preferred

Rackspace is seeking a highly accomplished Solution Director, Analytics &amp; AI to lead the design and sales of two critical solution portfolios: generative AI/LLM solutions and data modernization/lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). The position demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle.<h3>Responsibilities:</h3><ul><ul><li>Strategic Leadership &amp; Opportunity Development</li><li>Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for lakehouse transformations</li><li>Lead the design and architecture of dual solution portfolios: </li><li>- Generative AI Solutions, Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions </li><li>- Data Modernization**: Enterprise lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS</li><li>Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization</li><li>Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios</li><li>Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (lakehouse patterns, data mesh, unified analytics)</li><li>Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and lakehouse design patterns</li><li>Customer Engagement &amp; Solution Delivery</li><li>Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts</li><li>Build strategic relationships using two engagement models:</li><li>- Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions</li><li>- Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning</li><li>Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps</li><li>Develop Statements of Work (SOWs) that balance innovative AI capabilities with foundational data platform requirements</li><li>Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to lakehouse)</li><li>Collaborate with sales teams positioning both solution portfolios strategically based on customer maturity and needs</li><li>Technical Excellence &amp; Market Awareness</li><li>Maintain deep expertise across both solution domains:</li><li>- Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases</li><li> - Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake</li><li>Demonstrate comprehensive understanding of how generative AI solutions depend on modern data foundations</li><li>Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery)</li><li>Guide architectural decisions on build vs. buy for both AI capabilities and data platform components</li></ul></ul><h3>Qualifications and required experience:</h3><ul><ul><li>Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations</li><li>Proven track record delivering data modernization: lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments</li><li>At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization</li><li>Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations</li><li>Strong understanding across the full spectrum:</li><li> - AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning</li><li>- Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality</li><li>Proficiency in Python, SQL, and Spark with hands-on experience in:</li><li>Generative AI: LangChain, vector databases, embedding models</li><li>Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools</li><li>Proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences</li>Preferred Qualifications<li>Experience with AWS professional services or AWS partner ecosystem across both AI and data domains</li><li>Hands-on experience with:</li><li> - Multiple lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)</li><li>- Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI</li>Industry certifications:<li>AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty</li><li>Platform specific: Databricks Certified, Snowflake SnowPro</li><li>Experience with regulated industries requiring governance for both AI and data platforms</li><li>Track record building practices that deliver both generative AI solutions and data modernization programs</li><li>Published thought leadership in generative AI applications and/or modern data architectures</li>Educational Requirements<li>Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field</li><li>Advanced degree (Master's or PhD) in a relevant field is highly preferred</li></ul></ul>#LI-JB2#LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solutions Director  - Analytics &amp; AI

City

Overview of Citi:Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.The Team:The Chief Information Security Office (CISO) is responsible for looking after the cyber security of all of Citi’s technical assets. It has several new and exciting programmes utilising cutting edge cloud and container technologies, with a view to ensuring that our cyber security is best in class and offers reassurance to our wider business lines and clients alike.The job:This role sits within the Container Security team, which is responsible for ensuring, maintaining, and improving the security of our container technologies within the firm. You will be responsible for engineering automated security solutions that both secure and harden internal platforms as well as reduce friction for developers in their daily development lifecycle. You will be improving the container SDLC for internal developers from an image scanning perspective, engineering firm-wide solutions and partnering with centralised platform teams, DevOps teams and our developer community where appropriate.What the role covers:· Analysing, architecting, building and enhancing Container Security tools and platforms that provide capabilities for CISO and developers.· Owning solutions that are expected to operate and perform at scale across the organisation.· Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones.Job Skills/ Qualifications:· Highly motivated self-starter with excellent interpersonal and problem-solving skills· Bachelor’s degree or equivalent work experience· Good oral and written communication skills· 7+ years of relevant industry work experience· Hands-on experience integrating Container Image Scanning platforms and tooling· Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration· Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems· Experience of k8s and container technologies such as Docker, Podman and Openshift· Experience of security fundamentals with relation to a k8s platform and DevSecOps a bonus· Expertise in a major programming language such as Python or Java, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)· Expertise with DevOps, CI/CD and agile methodologyWe offer:By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:<ul><li>27 days annual leave (plus bank holidays)</li><li>A discretional annual performance related bonus</li><li>Private Medical Care &amp; Life Insurance</li><li>Employee Assistance Program</li><li>Pension Plan</li><li>Paid Parental Leave</li><li>Special discounts for employees, family, and friends</li><li>Access to an array of learning and development resources</li></ul><a href="https://careers.citigroup.com/why-citi/global-benefits.html" rel="noopener noreferrer nofollow ugc" target="_blank">Visit our Global Benefits page to learn more.</a>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.#LI-MK2------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Systems &amp; Engineering------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review <a href="https://www.citigroup.com/citi/accessibility/application-accessibility.htm" rel="noopener noreferrer nofollow ugc" target="_blank">Accessibility at Citi</a>.View Citi’s <a href="https://www.citigroup.com/global/eeo-aa-policy" rel="noopener noreferrer nofollow ugc" target="_blank">EEO Policy Statement</a> and the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer nofollow ugc" target="_blank">Know Your Rights</a> poster.

Senior Engineer - Python & Containerization

Solution Director, Analytics &amp; AI Rackspace is seeking a highly accomplished Solution Director, Analytics &amp; AI to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). The position demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. Responsibilities Strategic Leadership &amp; Opportunity Development ·         Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations·         Lead the design and architecture of dual solution portfolios:			o   Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions			o   Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS·         Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization·         Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios·         Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics)·         Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns Customer Engagement &amp; Solution Delivery ·         Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts·         Build strategic relationships using two engagement models:			o   Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions			o   Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning·         Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps·         Develop Statements of Work (SOWs) that balance innovative AI capabilities with foundational data platform requirements·         Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse)·         Collaborate with sales teams positioning both solution portfolios strategically based on customer maturity and needs Technical Excellence &amp; Market Awareness·         Maintain deep expertise across both solution domains:			o   Generative AI**: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases			o   Data Platforms**: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake·         Demonstrate comprehensive understanding of how generative AI solutions depend on modern data foundations·         Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery)·         Guide architectural decisions on build vs. buy for both AI capabilities and data platform components Qualifications Required Experience ·         Dual Expertise Required: 			o   Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations			o   Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments·         At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization·         Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations·         Strong understanding across the full spectrum:			o   AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning			o   Data Platforms**: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality·         Proficiency in Python, SQL, and Spark with hands-on experience in:·         Generative AI: LangChain, vector databases, embedding models·         Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools·         Proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences Preferred Qualifications·         Experience with AWS professional services or AWS partner ecosystem across both AI and data domains·         Hands-on experience with:			o   Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)			o   Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI·         Industry certifications:			o   AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty			o   Platform specific: Databricks Certified, Snowflake SnowPro·         Experience with regulated industries requiring governance for both AI and data platforms·         Track record building practices that deliver both generative AI solutions and data modernization programs·         Published thought leadership in generative AI applications and/or modern data architectures Educational Requirements·         Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or related technical field·         Advanced degree (Master's or PhD) in a relevant field is highly preferred What We Offer·         Opportunity to lead dual portfolios at the intersection of generative AI innovation and data platform modernization·         Direct engagement with C-level executives on transformational initiatives·         Access to latest AWS technologies across AI and data services·         Work with leading platforms: Databricks, Snowflake, AWS native services·         Comprehensive professional development and certification support·         Competitive compensation and benefits package Travel·         As per business requirements·         This role requires occasional travel (up to 25%) to customer sites and AWS events Sponsorship·         This role is not sponsorship eligible.·         Candidates need to be legally allowed to work in the US for any employer   The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence. $202,100 - $355,410 a yearThe following information is required by pay transparency legislation in the following states: CA, CO, HI, NY and WA. This information applies only to individuals working in these states. The anticipated starting pay range for California, New York City and Washington is: $202,100 - $355,410.Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.These discretionary payments are based on company and/or individual performance, and may change at any time.Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on <a href="https://rackspace.jobs/benefits/" rel="noopener noreferrer nofollow ugc" target="_blank">benefits</a> offered is here.#LI-VM1"Remote postings are limited to candidates residing within the country specified in the posting location"About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solutions Director, Analytics &amp; AI

The leading job board for Cyber Security Jobs. Start your career in Information Security Industry. Jobs are updated daily.

Job Position and Company	Location	Tags	Posted
MySQL Database Administrator III (rotational Shift) - Immediate joiner preferred at Rackspace	Remote Full Time Administrator Manager Windows
Solutions Director - Analytics & AI at Rackspace	Remote Full Time
Senior Engineer - Python & Containerization at City	Remote Full Time CISO Chief Devsecops
Solutions Director, Analytics & AI at Rackspace	Remote Full Time

Cyber Security Jobs

84 Cyber Security Jobs. Page 5 of 5

Subscribe to the weekly
Cyber Security Jobs Newsletter