Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes Coordinate incident management coverage to ensure effective resolution of application issues Collaborate with cross functional teams to perform root cause analysis and implement production changes Develop and support AI/ML solutions for troubleshooting and incident resolution Mentor and guide team members to foster growth and drive strategic change Build and maintain scalable, resilient, and market leading data solutions Support budgetary and staffing considerations to optimize team performance Engage in operational stability and disaster recovery planning Implement automation tools to reduce toil and improve efficiency Ensure compliance with risk controls and company wide standards Build meaningful relationships across teams to achieve common goals Required Qualifications, Capabilities, and Skills Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms Skilled in running production incident calls and managing incident resolution Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk Strong understanding of SLI/SLO/SLA and Error Budgets Proficient in Python or PySpark for AI/ML modeling Able to reduce toil by building automation tools for repeated tasks Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery Awareness of risk controls and compliance with departmental and company wide standards Collaborative team player with the ability to build meaningful relationships Preferred Qualifications, Capabilities, and Skills Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies AWS and Databricks certifications Advanced knowledge of AI/ML troubleshooting and incident resolution Familiarity with budgetary and staffing optimization Experience mentoring and guiding team members Strong communication and interpersonal skills Demonstrated ability to drive strategic change across teams
26/06/2026
Full time
Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes Coordinate incident management coverage to ensure effective resolution of application issues Collaborate with cross functional teams to perform root cause analysis and implement production changes Develop and support AI/ML solutions for troubleshooting and incident resolution Mentor and guide team members to foster growth and drive strategic change Build and maintain scalable, resilient, and market leading data solutions Support budgetary and staffing considerations to optimize team performance Engage in operational stability and disaster recovery planning Implement automation tools to reduce toil and improve efficiency Ensure compliance with risk controls and company wide standards Build meaningful relationships across teams to achieve common goals Required Qualifications, Capabilities, and Skills Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms Skilled in running production incident calls and managing incident resolution Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk Strong understanding of SLI/SLO/SLA and Error Budgets Proficient in Python or PySpark for AI/ML modeling Able to reduce toil by building automation tools for repeated tasks Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery Awareness of risk controls and compliance with departmental and company wide standards Collaborative team player with the ability to build meaningful relationships Preferred Qualifications, Capabilities, and Skills Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies AWS and Databricks certifications Advanced knowledge of AI/ML troubleshooting and incident resolution Familiarity with budgetary and staffing optimization Experience mentoring and guiding team members Strong communication and interpersonal skills Demonstrated ability to drive strategic change across teams
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
15/06/2026
Full time
AI Consultant - Principal page is loaded AI Consultant - Principallocations: London, United Kingdom: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: R Join a Ground Breaking AI Initiative at IQVIA IQVIA is building a world class team to develop large scale AI solutions using cutting edge machine learning architectures. Our mission is to integrate data across clinical, real world, and biomedical sources to unlock new insights into patient trajectories-and transform how we understand and anticipate health outcomes. About the Role We are seeking a Director or Principal level Consultant to lead the selling and delivery of cutting edge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization.This high impact, client facing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D. Key Responsibilities Client Engagement & Business Development Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure. Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences. Identify and cultivate new opportunities across Clinical R&D. Sell first in class AI solutions, including offerings still in development that require co creation with clients. Develop compelling narratives around IQVIA's newest AI solutions and systems. Project Leadership & Delivery Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources. Manage cross functional teams to ensure high quality, on time delivery and client satisfaction. Support development of next generation foundation model initiatives. Design, develop, deploy, and evangelize scalable, high performance AI solutions using state of the art platforms. Lead multidisciplinary teams combining industry, technical, and functional expertise. Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies. Collaborate with external technology partners for successful delivery. Practice Building Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members. Contribute to thought leadership (white papers, conferences, workshops). Foster an agile, innovative, impact driven team culture. Ideal Candidate Profile Must Haves 5-10+ years in Consulting with focus on AI, Data Science, or Digital Transformation. Experience in both business development and delivery of complex AI/ML projects. Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI). Domain expertise in Life Sciences-ideally Pharma R&D, Clinical Trials, or Clinical Operations. Demonstrated ability to manage senior client relationships as a strategic advisor. Leadership experience managing consultants, data scientists, and technical teams. Proven ability to conceive, sell, and deliver novel solutions. Strong drive, ownership, and execution mindset. Nice to Haves Experience at a top tier consulting firm. Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11). Exposure to RWE, biomarker discovery, or trial optimization. Experience with agentic AI or LLM orchestration in Life Sciences. Familiarity with platforms such as AWS, Azure ML, Databricks, foundation model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling. What We're Looking For Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence. Entrepreneurial drive: Motivation to build a new capability, team, and practice. Creative problem solver: Ability to execute under ambiguity with a "jugaad" spirit. Mission orientation: A genuine desire to transform how medicines are discovered and developed. What We Offer Opportunity to lead and shape a high growth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A mission driven team passionate about transforming healthcare through AI.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
Join 1,800+ DevOps engineers getting weekly alerts for remote and US, EU roles that don't show up on the big boards. Junior to senior. Kubernetes, AWS, Terraform - filtered for your stack. Ensure digital sovereignty for your infrastructure. Get EU static IPs withfull data residency for compliance and peace of mind. Computer and Network Security 11 employees Manchester, UK, GB Est. 2015 CultureAI's innovative Human Risk Management Platform empowers you to identify workforce security risks, coach employees in the moment, and automate fixes. Strengthen resilience against phishing, Hey there, join us in revolutionising the way we understand and mitigate human risk! We're looking for our first DevOps Engineer to join our ever-growing Engineering team. We want this person to be responsible for maintaining the product production and technical infrastructure in an optimised state. The ideal candidate will be well versed in a DevOps role within a growth company with strong AWS, networking, Docker and Linux admin skills. Who are we? At CultureAI, we aim to help organisations prevent cyber breaches. We're looking for passionate, driven people to join our team and help us transform how businesses manage human cyber risk. We're disrupting the security awareness industry with our data driven approach to measuring employee security behaviours and driving personalised security coaching and interventions. Our mission is to make the world more secure. We see direct parallels between how we elevate security through our company and empower it within. We believe in creating a safe space for our employees to express, innovate and educate. Diversity and inclusion are at the core of what we do, helping us drive our security ambitions and making the world a more secure place for all. Day in the life Production-level support of our SaaS product hosted on AWS. Support the development of the product by building the best technical environment possible for the team to work within. Leading on projects to implement new systems and processes to both support the engineering team and maintain technical infrastructure behind all the systems. Building and maintaining the local software development environment used by Engineers alongside our AWS infrastructure to satisfy the development team. What you bring to the team The ideal candidate will have previously created and maintained software development environments utilising AWS technologies. This will require exceptional skills across multiple technical platforms and programming languages. Strong AWS experience across EC2, VPCs, IAM, S3, SQS, RDS (MySQL), ElastiCache (Redis). Advanced Docker skills for both developer and production environments. Implementing and managing production Kubernetes clusters with EKS including scaling and monitoring, Calico for policy management and Helm for packing. Good technical knowledge of networking including DNS, routing, subnets, NAT, network ACLs, firewalls, security groups. Experience working with software engineering environments across both Windows and Mac. Linux system admin and exceptional scripting skills (Bash/Python). CI/CD implementation/management & Git for version control. Beneficial Knowledge SRE tooling such as Datadog and Sentry MS EntraID, Google Workplace, OKTA management DataBricks/Kafka JetBrains TeamCity, YouTrack & Space Infrastructure as Code using Terraform/ AWS cloud formation What do we offer? Private healthcare scheme Share options 30 days holiday (including 3 CultureAI closure days to prioritise rest for our team at the end of the year) + bank holidays Remote work or pet friendly offices, the choice is yours Training opportunities Regular socials (non compulsory and not just going to the pub) Plus many more Next steps Stage 1 - Exploring your goals with our internal Recruiter Stage 2 - Deep dive with our VP of Engineering Stage 3 - Take home Technical Assessment Stage 4 - Panel interview with our VP of Engineering, CTO and Senior Developer Built and hosted in the EU we keep your data safe
06/06/2026
Full time
Join 1,800+ DevOps engineers getting weekly alerts for remote and US, EU roles that don't show up on the big boards. Junior to senior. Kubernetes, AWS, Terraform - filtered for your stack. Ensure digital sovereignty for your infrastructure. Get EU static IPs withfull data residency for compliance and peace of mind. Computer and Network Security 11 employees Manchester, UK, GB Est. 2015 CultureAI's innovative Human Risk Management Platform empowers you to identify workforce security risks, coach employees in the moment, and automate fixes. Strengthen resilience against phishing, Hey there, join us in revolutionising the way we understand and mitigate human risk! We're looking for our first DevOps Engineer to join our ever-growing Engineering team. We want this person to be responsible for maintaining the product production and technical infrastructure in an optimised state. The ideal candidate will be well versed in a DevOps role within a growth company with strong AWS, networking, Docker and Linux admin skills. Who are we? At CultureAI, we aim to help organisations prevent cyber breaches. We're looking for passionate, driven people to join our team and help us transform how businesses manage human cyber risk. We're disrupting the security awareness industry with our data driven approach to measuring employee security behaviours and driving personalised security coaching and interventions. Our mission is to make the world more secure. We see direct parallels between how we elevate security through our company and empower it within. We believe in creating a safe space for our employees to express, innovate and educate. Diversity and inclusion are at the core of what we do, helping us drive our security ambitions and making the world a more secure place for all. Day in the life Production-level support of our SaaS product hosted on AWS. Support the development of the product by building the best technical environment possible for the team to work within. Leading on projects to implement new systems and processes to both support the engineering team and maintain technical infrastructure behind all the systems. Building and maintaining the local software development environment used by Engineers alongside our AWS infrastructure to satisfy the development team. What you bring to the team The ideal candidate will have previously created and maintained software development environments utilising AWS technologies. This will require exceptional skills across multiple technical platforms and programming languages. Strong AWS experience across EC2, VPCs, IAM, S3, SQS, RDS (MySQL), ElastiCache (Redis). Advanced Docker skills for both developer and production environments. Implementing and managing production Kubernetes clusters with EKS including scaling and monitoring, Calico for policy management and Helm for packing. Good technical knowledge of networking including DNS, routing, subnets, NAT, network ACLs, firewalls, security groups. Experience working with software engineering environments across both Windows and Mac. Linux system admin and exceptional scripting skills (Bash/Python). CI/CD implementation/management & Git for version control. Beneficial Knowledge SRE tooling such as Datadog and Sentry MS EntraID, Google Workplace, OKTA management DataBricks/Kafka JetBrains TeamCity, YouTrack & Space Infrastructure as Code using Terraform/ AWS cloud formation What do we offer? Private healthcare scheme Share options 30 days holiday (including 3 CultureAI closure days to prioritise rest for our team at the end of the year) + bank holidays Remote work or pet friendly offices, the choice is yours Training opportunities Regular socials (non compulsory and not just going to the pub) Plus many more Next steps Stage 1 - Exploring your goals with our internal Recruiter Stage 2 - Deep dive with our VP of Engineering Stage 3 - Take home Technical Assessment Stage 4 - Panel interview with our VP of Engineering, CTO and Senior Developer Built and hosted in the EU we keep your data safe
Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
01/06/2026
Full time
Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.