Role: Technology, Strategy & Advisory, Enterprise Architect Manager & Senior Manager - CMT Location: London, Manchester, Edinburgh Industry: Comms, Media & Telco Mobility: Up to 100% Career Level: Manager Responsibilities Assess the impact of business strategy on enterprise architecture across organisation, applications, data, infrastructure, and operations Stay abreast of Comms & Media industry trends and translate them into enterprise architecture implications and transformation opportunities Lead large-scale IT and digital transformation programs for Comms and media clients, advising on impacts across people, process, technology, data, and AI Drive BSS/OSS transformation initiatives, leveraging deep understanding of telecom ecosystems and aligning architecture with Accenture offerings Engage with C-suite stakeholders, leading strategic conversations and influencing key architectural and investment decisions Co-create client Enterprise Architecture vision, strategy, and roadmaps aligned to business objectives and market dynamics Lead the creation of end-to-end architecture blueprints, covering applications, integrations, data, and technology landscapes Conduct as-is architecture assessments across business capabilities, applications, data, and technology, identifying gaps, maturity levels, and pain points Define target-state architecture, including application rationalisation and modernisation strategies Bring strong awareness of COTS platforms (e.g., Salesforce, Amdocs, Oracle, ServiceNow, MS Dynamics) and define best-fit enterprise architecture Apply industry-standard frameworks such as TOGAF and TM Forum (eTOM, SID, ODA), leveraging 7R modernisation strategies to define and drive architecture transformation Work with business, technology & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Drive enterprise architecture governance to ensure alignment with principles, standards, and target-state architectures, maintaining architectural consistency and control Lead proposal development and deal shaping, translating client pain points into differentiated offerings and POVs Drive innovation through creation of reusable assets and PoCs, demonstrating business value and accelerating client decision-making Define enterprise data platforms, integration, and automation strategies, including AI-enabled architectures and agentic frameworks Identify opportunities to integrate AI and automation into BSS/OSS operations for improved efficiency and productivity Lead and mentor architecture teams, ensuring high-quality delivery, capability development, and alignment with enterprise standards Qualifications Have experience in the Communications, Media & Technology (CMT) industry, with strong global telecom exposure Possess deep knowledge of Telco BSS/OSS domains, including CRM, CPQ, Order Management, Product Management, Billing, and OSS Have experience delivering complex digital transformation programs across large-scale telecom environments Bring a strong blend of consulting, enterprise architecture, and telecom domain expertise Have strong knowledge of cloud-native architectures, digital decoupling, and platform-based transformation strategies Demonstrate strong stakeholder management and executive communication skills, with the ability to influence senior leaders Have experience with AI, data platforms, and emerging technologies, including Agentic AI and intelligent automation Deep expertise in CPQ (B2B Telco), billing architectures (mobile/converged), and revenue management Experience across OSS domain, including service fulfilment, provisioning, and assurance (e.g. ServiceNow, Remedy, AIOps, NetOps, and CMDB Strong understanding of telecom products and lifecycle management across Mobile, Fixed, IoT, Digital, and Cloud services TOGAF certified enterprise architecture practitioner Proven hands on experience leveraging enterprise architecture tools (e.g., LeanIX, Orbus) to support architecture governance and modelling Set yourself apart Demonstration of in depth technology insight in particular Telco functional domain e.g. Sales, CRM, Order Management, Product management, Billing and OSS Experience working as a enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Previous experience in Comms and Media Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework Benefits At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for.
25/07/2026
Full time
Role: Technology, Strategy & Advisory, Enterprise Architect Manager & Senior Manager - CMT Location: London, Manchester, Edinburgh Industry: Comms, Media & Telco Mobility: Up to 100% Career Level: Manager Responsibilities Assess the impact of business strategy on enterprise architecture across organisation, applications, data, infrastructure, and operations Stay abreast of Comms & Media industry trends and translate them into enterprise architecture implications and transformation opportunities Lead large-scale IT and digital transformation programs for Comms and media clients, advising on impacts across people, process, technology, data, and AI Drive BSS/OSS transformation initiatives, leveraging deep understanding of telecom ecosystems and aligning architecture with Accenture offerings Engage with C-suite stakeholders, leading strategic conversations and influencing key architectural and investment decisions Co-create client Enterprise Architecture vision, strategy, and roadmaps aligned to business objectives and market dynamics Lead the creation of end-to-end architecture blueprints, covering applications, integrations, data, and technology landscapes Conduct as-is architecture assessments across business capabilities, applications, data, and technology, identifying gaps, maturity levels, and pain points Define target-state architecture, including application rationalisation and modernisation strategies Bring strong awareness of COTS platforms (e.g., Salesforce, Amdocs, Oracle, ServiceNow, MS Dynamics) and define best-fit enterprise architecture Apply industry-standard frameworks such as TOGAF and TM Forum (eTOM, SID, ODA), leveraging 7R modernisation strategies to define and drive architecture transformation Work with business, technology & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Drive enterprise architecture governance to ensure alignment with principles, standards, and target-state architectures, maintaining architectural consistency and control Lead proposal development and deal shaping, translating client pain points into differentiated offerings and POVs Drive innovation through creation of reusable assets and PoCs, demonstrating business value and accelerating client decision-making Define enterprise data platforms, integration, and automation strategies, including AI-enabled architectures and agentic frameworks Identify opportunities to integrate AI and automation into BSS/OSS operations for improved efficiency and productivity Lead and mentor architecture teams, ensuring high-quality delivery, capability development, and alignment with enterprise standards Qualifications Have experience in the Communications, Media & Technology (CMT) industry, with strong global telecom exposure Possess deep knowledge of Telco BSS/OSS domains, including CRM, CPQ, Order Management, Product Management, Billing, and OSS Have experience delivering complex digital transformation programs across large-scale telecom environments Bring a strong blend of consulting, enterprise architecture, and telecom domain expertise Have strong knowledge of cloud-native architectures, digital decoupling, and platform-based transformation strategies Demonstrate strong stakeholder management and executive communication skills, with the ability to influence senior leaders Have experience with AI, data platforms, and emerging technologies, including Agentic AI and intelligent automation Deep expertise in CPQ (B2B Telco), billing architectures (mobile/converged), and revenue management Experience across OSS domain, including service fulfilment, provisioning, and assurance (e.g. ServiceNow, Remedy, AIOps, NetOps, and CMDB Strong understanding of telecom products and lifecycle management across Mobile, Fixed, IoT, Digital, and Cloud services TOGAF certified enterprise architecture practitioner Proven hands on experience leveraging enterprise architecture tools (e.g., LeanIX, Orbus) to support architecture governance and modelling Set yourself apart Demonstration of in depth technology insight in particular Telco functional domain e.g. Sales, CRM, Order Management, Product management, Billing and OSS Experience working as a enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Previous experience in Comms and Media Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework Benefits At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for.
Rarely available opportunity to join a market-leading software product company, trusted by the vast majority of Tier 1 capital markets firms to keep low-latency trading, core banking, payments and market data infrastructure across the world running smoothly. They're looking for a Senior Product Manager to own two of their most strategically important workstreams: financial services trading resilience and market data observability. An exceptional & rarely available position, working for a London based tier 1 technology company, with global operations. Location: London, central - hybrid. Expectations would be 2 days per week in the central London HQ (Tuesday's generally being core day) However, this is flexible for the right individual. Realistically you will likely be within "sensible" commute of London though (Home counties, or direct train links to the city) Salary: £120K - £140K basic (Flexible) plus an extensive benefits package. What you'll be doing Own the end-to-end product strategy and roadmap for FS resilience and market data observability, translating vision into quarterly delivery plans with engineering. Get out from behind your desk and spend real time with Tier 1 banks, exchanges and clearing houses, anchoring your roadmap in genuine customer evidence. Lead the discovery, definition and launch of a brand new market data observability product line. Partner with AI and platform engineering teams to bring agentic capability into resilience workflows, built for the demands of regulated environments. Shape pricing and packaging with finance and revenue teams so new capability converts cleanly into ARR. Represent the business at industry events, analyst briefings and regulator roundtables on operational resilience. What you need to bring "Senior" level expereince in product management within enterprise B2B software, with a track record of shipping data-intensive, infrastructure-class products into regulated financial services industries. This is a technical & commercial product role. You MUST bring experience in complex, highly visible software products, specifically used within highly regulated financial services industries. Deep domain expertise across two or more of : low-latency trading and OMS/EMS, market data infrastructure, post-trade and core banking, or financial services operational resilience and regulation. Strong grasp of the observability and monitoring landscape, including metrics, logs, traces, OpenTelemetry and AIOps. Comfortable leading conversations with senior stakeholders such as heads of trading technology, CTOs and CISOs, not just attending them. Excellent written communication, able to turn a complex resilience problem into something a CTO, regulator and engineer can all act on. Why you'll love this job Genuine ownership of product lines that sit at the heart of how the world's biggest banks and exchanges stay resilient. A senior, externally-facing role with real influence over strategy, pricing and go-to-market, not just a backlog to manage, working directly with the VP of Product & the Senior Leadership team. The chance to shape how agentic AI gets deployed responsibly inside some of the most regulated environments in the world. If you can turn deep financial services domain knowledge into a roadmap that Tier 1 banks actually want to buy, we'd love to hear from you. Apply now to find out more.
21/07/2026
Full time
Rarely available opportunity to join a market-leading software product company, trusted by the vast majority of Tier 1 capital markets firms to keep low-latency trading, core banking, payments and market data infrastructure across the world running smoothly. They're looking for a Senior Product Manager to own two of their most strategically important workstreams: financial services trading resilience and market data observability. An exceptional & rarely available position, working for a London based tier 1 technology company, with global operations. Location: London, central - hybrid. Expectations would be 2 days per week in the central London HQ (Tuesday's generally being core day) However, this is flexible for the right individual. Realistically you will likely be within "sensible" commute of London though (Home counties, or direct train links to the city) Salary: £120K - £140K basic (Flexible) plus an extensive benefits package. What you'll be doing Own the end-to-end product strategy and roadmap for FS resilience and market data observability, translating vision into quarterly delivery plans with engineering. Get out from behind your desk and spend real time with Tier 1 banks, exchanges and clearing houses, anchoring your roadmap in genuine customer evidence. Lead the discovery, definition and launch of a brand new market data observability product line. Partner with AI and platform engineering teams to bring agentic capability into resilience workflows, built for the demands of regulated environments. Shape pricing and packaging with finance and revenue teams so new capability converts cleanly into ARR. Represent the business at industry events, analyst briefings and regulator roundtables on operational resilience. What you need to bring "Senior" level expereince in product management within enterprise B2B software, with a track record of shipping data-intensive, infrastructure-class products into regulated financial services industries. This is a technical & commercial product role. You MUST bring experience in complex, highly visible software products, specifically used within highly regulated financial services industries. Deep domain expertise across two or more of : low-latency trading and OMS/EMS, market data infrastructure, post-trade and core banking, or financial services operational resilience and regulation. Strong grasp of the observability and monitoring landscape, including metrics, logs, traces, OpenTelemetry and AIOps. Comfortable leading conversations with senior stakeholders such as heads of trading technology, CTOs and CISOs, not just attending them. Excellent written communication, able to turn a complex resilience problem into something a CTO, regulator and engineer can all act on. Why you'll love this job Genuine ownership of product lines that sit at the heart of how the world's biggest banks and exchanges stay resilient. A senior, externally-facing role with real influence over strategy, pricing and go-to-market, not just a backlog to manage, working directly with the VP of Product & the Senior Leadership team. The chance to shape how agentic AI gets deployed responsibly inside some of the most regulated environments in the world. If you can turn deep financial services domain knowledge into a roadmap that Tier 1 banks actually want to buy, we'd love to hear from you. Apply now to find out more.
Our client is a market-leading software product company, trusted by the vast majority of Tier 1 capital markets firms to keep low-latency trading, core banking, payments and market data infrastructure across the world running smoothly. They're looking for a Senior Product Manager to own two of their most strategically important workstreams: financial services trading resilience and market data observability. An exceptional & rarely available position, working for a London based tier 1 technology company, with global operations. Location: London, central - hybrid. Expectations would be 2 days per week in the central London HQ (Tuesday's generally being core day) However, this is flexible for the right individual. Realistically you will likely be within "sensible" commute of London though (Home counties, or direct train links to the city) Salary: up to £160,000 basic plus an extensive benefits package. What you'll be doing Own the end-to-end product strategy and roadmap for FS resilience and market data observability, translating vision into quarterly delivery plans with engineering. Get out from behind your desk and spend real time with Tier 1 banks, exchanges and clearing houses, anchoring your roadmap in genuine customer evidence. Lead the discovery, definition and launch of a brand new market data observability product line. Partner with AI and platform engineering teams to bring agentic capability into resilience workflows, built for the demands of regulated environments. Shape pricing and packaging with finance and revenue teams so new capability converts cleanly into ARR. Represent the business at industry events, analyst briefings and regulator roundtables on operational resilience. What you need to bring 10+ years in product management within enterprise B2B software, with a track record of shipping data-intensive, infrastructure-class products into regulated financial services industries. This is a technical & commercial product role. You MUST bring experience in complex, highly visible software products, specifically used within highly regulated financial services industries. Deep domain expertise across two or more of: low-latency trading and OMS/EMS, market data infrastructure, post-trade and core banking, or financial services operational resilience and regulation. Strong grasp of the observability and monitoring landscape, including metrics, logs, traces, OpenTelemetry and AIOps. Comfortable leading conversations with senior stakeholders such as heads of trading technology, CTOs and CISOs, not just attending them. Excellent written communication, able to turn a complex resilience problem into something a CTO, regulator and engineer can all act on. Why you'll love this job Genuine ownership of product lines that sit at the heart of how the world's biggest banks and exchanges stay resilient. A senior, externally-facing role with real influence over strategy, pricing and go-to-market, not just a backlog to manage, working directly with the VP of Product & the Senior Leadership team. The chance to shape how agentic AI gets deployed responsibly inside some of the most regulated environments in the world. If you can turn deep financial services domain knowledge into a roadmap that Tier 1 banks actually want to buy, we'd love to hear from you. Apply now to find out more.
20/07/2026
Full time
Our client is a market-leading software product company, trusted by the vast majority of Tier 1 capital markets firms to keep low-latency trading, core banking, payments and market data infrastructure across the world running smoothly. They're looking for a Senior Product Manager to own two of their most strategically important workstreams: financial services trading resilience and market data observability. An exceptional & rarely available position, working for a London based tier 1 technology company, with global operations. Location: London, central - hybrid. Expectations would be 2 days per week in the central London HQ (Tuesday's generally being core day) However, this is flexible for the right individual. Realistically you will likely be within "sensible" commute of London though (Home counties, or direct train links to the city) Salary: up to £160,000 basic plus an extensive benefits package. What you'll be doing Own the end-to-end product strategy and roadmap for FS resilience and market data observability, translating vision into quarterly delivery plans with engineering. Get out from behind your desk and spend real time with Tier 1 banks, exchanges and clearing houses, anchoring your roadmap in genuine customer evidence. Lead the discovery, definition and launch of a brand new market data observability product line. Partner with AI and platform engineering teams to bring agentic capability into resilience workflows, built for the demands of regulated environments. Shape pricing and packaging with finance and revenue teams so new capability converts cleanly into ARR. Represent the business at industry events, analyst briefings and regulator roundtables on operational resilience. What you need to bring 10+ years in product management within enterprise B2B software, with a track record of shipping data-intensive, infrastructure-class products into regulated financial services industries. This is a technical & commercial product role. You MUST bring experience in complex, highly visible software products, specifically used within highly regulated financial services industries. Deep domain expertise across two or more of: low-latency trading and OMS/EMS, market data infrastructure, post-trade and core banking, or financial services operational resilience and regulation. Strong grasp of the observability and monitoring landscape, including metrics, logs, traces, OpenTelemetry and AIOps. Comfortable leading conversations with senior stakeholders such as heads of trading technology, CTOs and CISOs, not just attending them. Excellent written communication, able to turn a complex resilience problem into something a CTO, regulator and engineer can all act on. Why you'll love this job Genuine ownership of product lines that sit at the heart of how the world's biggest banks and exchanges stay resilient. A senior, externally-facing role with real influence over strategy, pricing and go-to-market, not just a backlog to manage, working directly with the VP of Product & the Senior Leadership team. The chance to shape how agentic AI gets deployed responsibly inside some of the most regulated environments in the world. If you can turn deep financial services domain knowledge into a roadmap that Tier 1 banks actually want to buy, we'd love to hear from you. Apply now to find out more.
Senior Enterprise Tools EngineerApplylocations: United Kingdom: Northern Irelandtime type: Full timeposted on: Posted Todayjob requisition id: JR111086 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. As a Senior Enterprise Tools Engineer specializing in Enterprise Platforms and Tools , you will own the operational reliability, health, and lifecycle management of enterprise productivity and collaboration platforms. This role combines hands-on platform administration with day-to-day operational ownership and governance of enterprise SaaS tools such as Jira, Confluence, Figma, Lucid, and other Saas related platforms . In addition to serving as a senior escalation point, you will improve monitoring accuracy, reduce alert noise, validate automation workflows, and contribute to AIOps tuning and observability standards. You will help transition enterprise tool operations from reactive issues handling toward proactive, automation-driven reliability practices that improve uptime, user communication, and service maturity. Responsibilities General Reliability Operations Monitor observability and AIOps platforms to detect anomalies, performance degradation, and emerging issues across enterprise systems. Perform advanced incident triage and event correlation to identify root cause and reduce duplicate or misrouted incidents. Lead or contribute to post-incident reviews, identifying systemic fixes and automation opportunities. Validate automated remediation workflows prior to production adoption. Identify recurring manual tasks and translate them into automation requirements or scripted improvements. Improve alert signal quality by refining thresholds, suppression logic, and event correlation rules. Ensure platform telemetry, SaaS health signals, and configuration data align with monitoring and CMDB standards. Collaborate with Cloud, IAM, Network, Security, and ServiceNow teams to improve enterprise service reliability. Enterprise Tools Ownership & Operational Management Own day-to-day operational health and administration of enterprise SaaS platforms (e.g., Jira, Confluence, Figma, Lucid, monitoring tools, and similar productivity platforms). Monitor vendor service health dashboards and integrate SaaS outage signals into internal observability and AIOps workflows. Lead user-impact communications during enterprise tool outages or service degradations in partnership with IT Communications and ServiceNow teams. Review vendor release notes and roadmap updates; assess feature changes, security updates, and deprecations. Plan and coordinate controlled feature rollouts, configuration updates, and tenant-level optimizations. Provide guidance and education to end users on new features, configuration changes, and best practices. Manage licensing, usage monitoring, and cost optimization for enterprise tools. Partner with Security and IAM teams to ensure access governance and compliance standards are maintained. Improve monitoring coverage for enterprise tools by integrating telemetry and health signals into AIOps platforms. Document operational standards, support models, and escalation paths for each owned platform. Enterprise Platform Responsibilities Diagnose and remediate integration issues between enterprise platforms and supporting systems. Validate patching and upgrade activities to ensure minimal service disruption. Participate in resilience validation exercises, including failover and recovery testing. Provide mentorship and knowledge-sharing to junior reliability engineers. Support operational reliability of Microsoft Power Platform components (Power Apps, Power Automate, Power BI), including: Monitoring flow failures Troubleshooting environment-level issues Supporting connector configuration Assisting with environment governance and data loss prevention policies Automation & AIOps Contributions Develop and maintain automation scripts (PowerShell, Python) to reduce repetitive operational effort. Contribute to ServiceNow and Power Automate workflow improvements tied to enterprise tool incidents. Partner with teams to refine automated remediation logic. Improve enterprise tool signal quality by integrating vendor health data and usage telemetry into AIOps systems. Support tuning of alert correlation and anomaly detection models for enterprise services. Track improvements in MTTR, alert noise reduction, automation coverage, and platform uptime. Requirements Bachelor's degree in Computer Science, Information Technology, or related field; equivalent experience considered. 5+ years of experience in enterprise platform operations, SaaS administration, or infrastructure support roles. Hands-on experience administering enterprise tools such as Jira, Confluence, Figma, Lucid, or similar SaaS platforms. This includes setting up monitoring and event management capabilities to alert for outage or service degradation. Experience with SQL Server and IIS/Apache administration is an asset Experience managing SaaS service health, vendor communications, and feature rollouts. Proficiency in PowerShell or equivalent scripting for automation tasks. Solid understanding of monitoring, observability, and event management practices. Familiarity with ITIL principles and ServiceNow workflows. Strong troubleshooting and analytical skills. Effective communication skills, including experience communicating user-facing outages or changes. Motivation to deepen expertise in automation, AIOps, and reliability engineering. Preferred Qualifications Experience integrating SaaS platforms with identity providers (Okta, Entra ID). Familiarity with CI/CD pipelines or automation-driven configuration management. Exposure to cloud platforms (AWS or Azure). Additional Information On-Call Support: Participation in a shared, rotational on-call schedule is required. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at . You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status . click apply for full job details
19/07/2026
Full time
Senior Enterprise Tools EngineerApplylocations: United Kingdom: Northern Irelandtime type: Full timeposted on: Posted Todayjob requisition id: JR111086 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. As a Senior Enterprise Tools Engineer specializing in Enterprise Platforms and Tools , you will own the operational reliability, health, and lifecycle management of enterprise productivity and collaboration platforms. This role combines hands-on platform administration with day-to-day operational ownership and governance of enterprise SaaS tools such as Jira, Confluence, Figma, Lucid, and other Saas related platforms . In addition to serving as a senior escalation point, you will improve monitoring accuracy, reduce alert noise, validate automation workflows, and contribute to AIOps tuning and observability standards. You will help transition enterprise tool operations from reactive issues handling toward proactive, automation-driven reliability practices that improve uptime, user communication, and service maturity. Responsibilities General Reliability Operations Monitor observability and AIOps platforms to detect anomalies, performance degradation, and emerging issues across enterprise systems. Perform advanced incident triage and event correlation to identify root cause and reduce duplicate or misrouted incidents. Lead or contribute to post-incident reviews, identifying systemic fixes and automation opportunities. Validate automated remediation workflows prior to production adoption. Identify recurring manual tasks and translate them into automation requirements or scripted improvements. Improve alert signal quality by refining thresholds, suppression logic, and event correlation rules. Ensure platform telemetry, SaaS health signals, and configuration data align with monitoring and CMDB standards. Collaborate with Cloud, IAM, Network, Security, and ServiceNow teams to improve enterprise service reliability. Enterprise Tools Ownership & Operational Management Own day-to-day operational health and administration of enterprise SaaS platforms (e.g., Jira, Confluence, Figma, Lucid, monitoring tools, and similar productivity platforms). Monitor vendor service health dashboards and integrate SaaS outage signals into internal observability and AIOps workflows. Lead user-impact communications during enterprise tool outages or service degradations in partnership with IT Communications and ServiceNow teams. Review vendor release notes and roadmap updates; assess feature changes, security updates, and deprecations. Plan and coordinate controlled feature rollouts, configuration updates, and tenant-level optimizations. Provide guidance and education to end users on new features, configuration changes, and best practices. Manage licensing, usage monitoring, and cost optimization for enterprise tools. Partner with Security and IAM teams to ensure access governance and compliance standards are maintained. Improve monitoring coverage for enterprise tools by integrating telemetry and health signals into AIOps platforms. Document operational standards, support models, and escalation paths for each owned platform. Enterprise Platform Responsibilities Diagnose and remediate integration issues between enterprise platforms and supporting systems. Validate patching and upgrade activities to ensure minimal service disruption. Participate in resilience validation exercises, including failover and recovery testing. Provide mentorship and knowledge-sharing to junior reliability engineers. Support operational reliability of Microsoft Power Platform components (Power Apps, Power Automate, Power BI), including: Monitoring flow failures Troubleshooting environment-level issues Supporting connector configuration Assisting with environment governance and data loss prevention policies Automation & AIOps Contributions Develop and maintain automation scripts (PowerShell, Python) to reduce repetitive operational effort. Contribute to ServiceNow and Power Automate workflow improvements tied to enterprise tool incidents. Partner with teams to refine automated remediation logic. Improve enterprise tool signal quality by integrating vendor health data and usage telemetry into AIOps systems. Support tuning of alert correlation and anomaly detection models for enterprise services. Track improvements in MTTR, alert noise reduction, automation coverage, and platform uptime. Requirements Bachelor's degree in Computer Science, Information Technology, or related field; equivalent experience considered. 5+ years of experience in enterprise platform operations, SaaS administration, or infrastructure support roles. Hands-on experience administering enterprise tools such as Jira, Confluence, Figma, Lucid, or similar SaaS platforms. This includes setting up monitoring and event management capabilities to alert for outage or service degradation. Experience with SQL Server and IIS/Apache administration is an asset Experience managing SaaS service health, vendor communications, and feature rollouts. Proficiency in PowerShell or equivalent scripting for automation tasks. Solid understanding of monitoring, observability, and event management practices. Familiarity with ITIL principles and ServiceNow workflows. Strong troubleshooting and analytical skills. Effective communication skills, including experience communicating user-facing outages or changes. Motivation to deepen expertise in automation, AIOps, and reliability engineering. Preferred Qualifications Experience integrating SaaS platforms with identity providers (Okta, Entra ID). Familiarity with CI/CD pipelines or automation-driven configuration management. Exposure to cloud platforms (AWS or Azure). Additional Information On-Call Support: Participation in a shared, rotational on-call schedule is required. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at . You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status . click apply for full job details
Responsibilities and Impact Own and execute the AIOps product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes. Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive adoption at enterprise scale. Define and track success metrics for alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency. Present roadmap progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model. Maintain an analytical and data driven mindset with strong problem solving, prioritization, and decision making skills. Basic Required Qualifications 10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components. Additional Preferred Qualifications Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity with cloud native platforms, container orchestration systems, distributed systems, service mapping, and telemetry standards. Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service performance. Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus. Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
19/07/2026
Full time
Responsibilities and Impact Own and execute the AIOps product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes. Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive adoption at enterprise scale. Define and track success metrics for alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency. Present roadmap progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model. Maintain an analytical and data driven mindset with strong problem solving, prioritization, and decision making skills. Basic Required Qualifications 10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components. Additional Preferred Qualifications Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity with cloud native platforms, container orchestration systems, distributed systems, service mapping, and telemetry standards. Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service performance. Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus. Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary In this role, you will be working with internal and external stakeholders to architect, design and implement FinOps, IaC, and DB solutions for enterprise customers. You will have an opportunity to work with Harness Engineering and various customer functions, such as DevOps, SRE, Cloud, Finance and Engineering Analytics teams. You will develop best practices and automations to streamline Harness platform deployments in the most efficient, scalable, repeatable and reliable manner possible. We're a high-growth company on a once-in-a-lifetime journey to revolutionize engineering deployment tools & continuous delivery. In this role, you will partner closely with enterprise customers across EMEA to architect, design, and implement DevSecOps, FinOps, and Engineering Excellence solutions using the Harness platform. You will collaborate with Harness Engineering, Sales Engineering, and Customer Success, as well as customer teams including DevOps, SRE, Platform Engineering, Cloud Infrastructure, Finance, and Engineering Leadership. Your mission is to help customers modernize and scale their CI/CD practices in a way that is secure, cost efficient, reliable, and aligned with business outcomes. This is a hands on, customer facing role in a high growth global SaaS company, supporting organizations as they evolve their cloud native and Kubernetes adoption across AWS, GCP, and Azure. About the Role Engage directly with customer technical teams to assess and understand existing processes and DevSecOps, CI/CD pipelines and governance models. Architect and implement an optimized Harness setup for integration, scale, and repeatability. Interface with the Customer's Executive and Leadership teams to understand the technical goals and business objectives related to their processes, design their Harness implementation to best fit those requirements, and correlate the technical success criteria to the business requirements. Provide positive anecdotes from each engagement, craft best practices around Customer implementations, convert them into automation and create reference patterns. Document and implement processes and solutions that are employed for onboarding success for the purpose of internal enablement. Contribute to the product design, assist in the Harness Community, and for building out of an advanced technical knowledge base. Consult on DevSecOps, cloud native CI/CD and Kubernetes. Interact with customers on a professional, meaningful and technically deep level. Define current state vs. target state architecture and a phased onboarding and adoption roadmap spanning CI/CD, IaC, security and reliability. Provide forward looking technical direction aligned with both customer needs and platform evolution. Author and standardize design patterns (reusable pipeline templates, deployment strategies, golden paths) and integration blueprints to SCM, cloud, artifact registries, secret managers, identity, ITSM, and observability. Guide and oversee execution across implementation engineers and delivery partners. Drive onboarding and adoption across multiple teams and business units. Deliver hands on implementation across CI/CD, infrastructure as code, supply chain security, the internal developer portal, database DevOps, and site reliability. Partner with Customer Success and account teams to drive adoption, growth, and long term customer success. Work closely with Pre sales and Post sales teams to ensure that Harness customers are successful and experience a high level of customer satisfaction with the Harness solution. About You BA/BS degree in CS or Computer Engineering related field with 8+ years in consulting roles / software delivery / DevSecOps / Platform Engineering. You have a strong consulting attitude and a commercial acumen in delivering custom solutions to customers of all sizes, stakeholder management, workshop facilitation, and customer facing communication are part of your DNA. Your written and verbal communication are exceptional - You are able to present to a platform engineer team as well as a CxO with equal confidence. You have experience driving engineering culture change in large enterprises - such as onboarding and adoption of new tooling, processes, and ways of working at scale. You are a results driven individual with a hunger for accomplishing in fast paced environments and a knack for optimizing processes. You have a proven ability to work with cross functional, distributed teams. You are a perpetual learner, thrive in a team setting, enjoy sharing your experience and solutions, consistently pursuing excellence and success in all your tasks, detail oriented and analytical, with excellent written and verbal communication skills. You are familiar with architecture frameworks (TOGAF or equivalent) and Well Architected reviews (AWS/Azure/GCP). You have proven hands on experience leading migrations from incumbent tooling to a modern, consolidated delivery platform - including continuous delivery (e.g., IBM UrbanCode Deploy / UCD), continuous integration (e.g., Jenkins), and infrastructure as code management (e.g., Terraform Cloud / HCP Terraform). Willingness to travel up to 25%. Last but not least, you have deep hands on experience in at least 3 of the areas listed below, with working knowledge of the rest: CI/CD & pipelines: GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, CircleCI, GitOps principles with Argo CD/Workflows, Tekton, Buildkite, Bamboo, TeamCity, AWS CodePipeline. Policy as Code & governance: OPA/Rego, HashiCorp Sentinel, Kyverno. SSO & identity: Okta, Azure AD/Entra ID, OneLogin, Keycloak, LDAP, SAML/OIDC. Infrastructure as Code (IaC): Terraform, OpenTofu, Pulumi, AWS CloudFormation, Azure ARM/Bicep, Crossplane, Ansible - plus IaC orchestration/management such as Terraform Cloud / HCP Terraform, Spacelift, env0, Scalr, Terragrunt, Atlantis, AWS Proton. IaC security scanning: Checkov, Wiz, Snyk IaC, Checkmarx, Terrascan. Application security testing: SonarQube, Checkmarx, Veracode, Semgrep, Trivy, Grype, GitGuardian. Internal developer portals & platform engineering: Backstage, Cortex, Roadie, Kratix, Port, OpsLevel, Atlassian Compass, Configure8, Humanitec - with hands on catalog modeling, golden path scaffolding, and scorecards. Environment management & deployment: Argo CD, Flux, Spinnaker, Octopus Deploy, IBM UrbanCode Deploy, Codefresh; ephemer / on demand environments (Bunnyshell, Qovery, Garden, Okteto, Signadot); configuration management with Ansible, Puppet, Chef, Saltstack in conjunction with Helm and Kustomize usage. Database DevOps: Liquibase, Flyway (incl. Redgate Flyway), Bytebase, Atlas (Ariga), Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro. Site reliability & incident response (incl. AI assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps / AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft). Observability: Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry. Containers, cloud & foundations: Docker and Kubernetes (Helm, manifests, operators) on EKS/AKS/GKE; depth in at least one of AWS/Azure/GCP (IAM, networking, managed services); secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, CyberArk). Scripting, languages & OS: Linux, Bash, Python (or Go), PowerShell. ITSM: ServiceNow, Jira. Work Location UK, London. Travel is roughly 25% throughout the calendar year. What You Will Have at Harness Comprehensive healthcare benefits Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events . click apply for full job details
15/07/2026
Full time
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary In this role, you will be working with internal and external stakeholders to architect, design and implement FinOps, IaC, and DB solutions for enterprise customers. You will have an opportunity to work with Harness Engineering and various customer functions, such as DevOps, SRE, Cloud, Finance and Engineering Analytics teams. You will develop best practices and automations to streamline Harness platform deployments in the most efficient, scalable, repeatable and reliable manner possible. We're a high-growth company on a once-in-a-lifetime journey to revolutionize engineering deployment tools & continuous delivery. In this role, you will partner closely with enterprise customers across EMEA to architect, design, and implement DevSecOps, FinOps, and Engineering Excellence solutions using the Harness platform. You will collaborate with Harness Engineering, Sales Engineering, and Customer Success, as well as customer teams including DevOps, SRE, Platform Engineering, Cloud Infrastructure, Finance, and Engineering Leadership. Your mission is to help customers modernize and scale their CI/CD practices in a way that is secure, cost efficient, reliable, and aligned with business outcomes. This is a hands on, customer facing role in a high growth global SaaS company, supporting organizations as they evolve their cloud native and Kubernetes adoption across AWS, GCP, and Azure. About the Role Engage directly with customer technical teams to assess and understand existing processes and DevSecOps, CI/CD pipelines and governance models. Architect and implement an optimized Harness setup for integration, scale, and repeatability. Interface with the Customer's Executive and Leadership teams to understand the technical goals and business objectives related to their processes, design their Harness implementation to best fit those requirements, and correlate the technical success criteria to the business requirements. Provide positive anecdotes from each engagement, craft best practices around Customer implementations, convert them into automation and create reference patterns. Document and implement processes and solutions that are employed for onboarding success for the purpose of internal enablement. Contribute to the product design, assist in the Harness Community, and for building out of an advanced technical knowledge base. Consult on DevSecOps, cloud native CI/CD and Kubernetes. Interact with customers on a professional, meaningful and technically deep level. Define current state vs. target state architecture and a phased onboarding and adoption roadmap spanning CI/CD, IaC, security and reliability. Provide forward looking technical direction aligned with both customer needs and platform evolution. Author and standardize design patterns (reusable pipeline templates, deployment strategies, golden paths) and integration blueprints to SCM, cloud, artifact registries, secret managers, identity, ITSM, and observability. Guide and oversee execution across implementation engineers and delivery partners. Drive onboarding and adoption across multiple teams and business units. Deliver hands on implementation across CI/CD, infrastructure as code, supply chain security, the internal developer portal, database DevOps, and site reliability. Partner with Customer Success and account teams to drive adoption, growth, and long term customer success. Work closely with Pre sales and Post sales teams to ensure that Harness customers are successful and experience a high level of customer satisfaction with the Harness solution. About You BA/BS degree in CS or Computer Engineering related field with 8+ years in consulting roles / software delivery / DevSecOps / Platform Engineering. You have a strong consulting attitude and a commercial acumen in delivering custom solutions to customers of all sizes, stakeholder management, workshop facilitation, and customer facing communication are part of your DNA. Your written and verbal communication are exceptional - You are able to present to a platform engineer team as well as a CxO with equal confidence. You have experience driving engineering culture change in large enterprises - such as onboarding and adoption of new tooling, processes, and ways of working at scale. You are a results driven individual with a hunger for accomplishing in fast paced environments and a knack for optimizing processes. You have a proven ability to work with cross functional, distributed teams. You are a perpetual learner, thrive in a team setting, enjoy sharing your experience and solutions, consistently pursuing excellence and success in all your tasks, detail oriented and analytical, with excellent written and verbal communication skills. You are familiar with architecture frameworks (TOGAF or equivalent) and Well Architected reviews (AWS/Azure/GCP). You have proven hands on experience leading migrations from incumbent tooling to a modern, consolidated delivery platform - including continuous delivery (e.g., IBM UrbanCode Deploy / UCD), continuous integration (e.g., Jenkins), and infrastructure as code management (e.g., Terraform Cloud / HCP Terraform). Willingness to travel up to 25%. Last but not least, you have deep hands on experience in at least 3 of the areas listed below, with working knowledge of the rest: CI/CD & pipelines: GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, CircleCI, GitOps principles with Argo CD/Workflows, Tekton, Buildkite, Bamboo, TeamCity, AWS CodePipeline. Policy as Code & governance: OPA/Rego, HashiCorp Sentinel, Kyverno. SSO & identity: Okta, Azure AD/Entra ID, OneLogin, Keycloak, LDAP, SAML/OIDC. Infrastructure as Code (IaC): Terraform, OpenTofu, Pulumi, AWS CloudFormation, Azure ARM/Bicep, Crossplane, Ansible - plus IaC orchestration/management such as Terraform Cloud / HCP Terraform, Spacelift, env0, Scalr, Terragrunt, Atlantis, AWS Proton. IaC security scanning: Checkov, Wiz, Snyk IaC, Checkmarx, Terrascan. Application security testing: SonarQube, Checkmarx, Veracode, Semgrep, Trivy, Grype, GitGuardian. Internal developer portals & platform engineering: Backstage, Cortex, Roadie, Kratix, Port, OpsLevel, Atlassian Compass, Configure8, Humanitec - with hands on catalog modeling, golden path scaffolding, and scorecards. Environment management & deployment: Argo CD, Flux, Spinnaker, Octopus Deploy, IBM UrbanCode Deploy, Codefresh; ephemer / on demand environments (Bunnyshell, Qovery, Garden, Okteto, Signadot); configuration management with Ansible, Puppet, Chef, Saltstack in conjunction with Helm and Kustomize usage. Database DevOps: Liquibase, Flyway (incl. Redgate Flyway), Bytebase, Atlas (Ariga), Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro. Site reliability & incident response (incl. AI assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps / AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft). Observability: Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry. Containers, cloud & foundations: Docker and Kubernetes (Helm, manifests, operators) on EKS/AKS/GKE; depth in at least one of AWS/Azure/GCP (IAM, networking, managed services); secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, CyberArk). Scripting, languages & OS: Linux, Bash, Python (or Go), PowerShell. ITSM: ServiceNow, Jira. Work Location UK, London. Travel is roughly 25% throughout the calendar year. What You Will Have at Harness Comprehensive healthcare benefits Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events . click apply for full job details
About the Role: Grade Level (for internal use): 11 The Team: The AIOps team is responsible for S&P Global's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools - Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams to solve enterprise operational challenges. Our mission is to improve reliability, reduce operational complexity, optimize technology investments, and enable more proactive and resilient technology operations by applying AI. Responsibilities and Impact: Own and execute the AIOps product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes. Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive adoption at enterprise scale. Define and track success metrics for alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency. Present roadmap progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model. Analytical and data driven mindset with strong problem solving, prioritization, and decision making skills. What We're Looking For: Basic Required Qualifications: 10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity with cloud native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards. Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service performance. Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus. Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
14/07/2026
Full time
About the Role: Grade Level (for internal use): 11 The Team: The AIOps team is responsible for S&P Global's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools - Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams to solve enterprise operational challenges. Our mission is to improve reliability, reduce operational complexity, optimize technology investments, and enable more proactive and resilient technology operations by applying AI. Responsibilities and Impact: Own and execute the AIOps product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes. Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive adoption at enterprise scale. Define and track success metrics for alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency. Present roadmap progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model. Analytical and data driven mindset with strong problem solving, prioritization, and decision making skills. What We're Looking For: Basic Required Qualifications: 10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity with cloud native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards. Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service performance. Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus. Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary We are seeking an exceptional Technical Programme Manager (TPM) to lead a large-scale Developer Experience (DX) transformation programme for a major banking client. This is a flagship engagement that will fundamentally reshape how engineering teams build, test, secure, and release software - spanning DevSecOps, Infrastructure as Code, AI assisted SRE, and automated compliance controls via Harness. This is not a purely administrative programme management role. We need someone who has lived in the engineering trenches - someone who understands the pain of slow pipelines, manual controls, and fragmented toolchains, and who can credibly lead the transformation away from them. You will work at the intersection of platform engineering, security, and developer productivity, driving change at scale across multiple squads and workstreams in a highly regulated banking environment. You will act as the senior delivery authority for the programme - partnering with the client's engineering leadership, internal architects, and specialist delivery teams to ensure every workstream lands on time, on budget, and with measurable uplift to the developer experience. Programme Delivery & Governance Own and drive the end to end DX transformation programme plan across all four workstreams, managing interdependencies, sequencing, and critical path Establish and maintain rigorous governance frameworks - RAID logs, steering committees, decision registers, and milestone tracking Manage dependencies across internal squads, the banking client, third party tooling vendors, and regulatory timelines Produce high quality programme reporting for C suite and board level audiences on both sides of the engagement Drive accountability across delivery teams without direct line authority, operating effectively in a matrix environment Technical Leadership & Oversight Act as the technical authority on delivery - able to credibly engage with platform engineers, security architects, and SRE leads on design decisions Challenge pipeline architectures, Terraform module designs, Harness policy configurations, and AI/ML tooling choices with informed judgment Identify and manage technical debt as a programme risk; balance velocity against engineering quality in a regulated context Facilitate architecture decision records (ADRs) and ensure technical choices are documented, justified, and aligned across workstreams Translate highly technical concepts into clear business and risk narratives for banking stakeholders Stakeholder Management Serve as the primary point of escalation and authority for the banking client's technology and engineering leadership Navigate complex stakeholder landscapes spanning engineering, security, risk, compliance, internal audit, and operations within the bank Manage executive expectations proactively, escalating risks and issues with clearly articulated mitigations and recommendations About You Technical Acumen Comfortable discussing DevSecOps concepts: CI/CD, shift left security, pipeline governance, secrets management, and policy as code - without needing to be the one implementing them Familiar with IaC principles Understands what good SRE looks like: SLOs, toil reduction, incident response, and AI assisted observability Enough cloud knowledge (AWS, Azure, or GCP) to understand architecture decisions and their delivery and cost implications Familiar with containers and Kubernetes at a conceptual level - you don't need to be a Kubernetes operator, but you need to understand what the teams are building on Programme Delivery Proven track record leading large, multi workstream technology transformation programmes - ideally in complex or regulated environments Strong governance instincts: RAID management, milestone tracking, dependency mapping, and steering committee reporting Comfortable managing ambiguity and shaping a programme from early stage discovery through to scaled delivery Experience managing budgets across multiple workstreams and holding commercial conversations with vendors Familiar with Agile delivery at scale (SAFe, Scrum) as well as structured governance approaches Stakeholder Management Able to operate confidently with senior engineering leads and C suite executives in the same week Experienced managing client relationships in a complex, high stakes environment - banking stakeholder landscapes are demanding Can translate highly technical delivery status into business risk language that non technical executives can act on Comfortable escalating early with options, not just problems Banking / Financial Services (Preferred, not essential) Domain experience is genuinely helpful but not a barrier to entry. What matters most is comfort in regulated, high governance environments where change management is rigorous and audit trails are not optional. Experience in banking, capital markets, insurance, or fintech - particularly around regulated change, CAB processes, or SOX compliant delivery - is a strong plus Familiarity with how compliance and audit requirements shape pipeline and tooling decisions in financial services is advantageous Nice to have Any formal certification in programme management (PMP, MSP, Prince2, SAFe SPC) - valued but not required Cloud certification at associate or professional level Prior exposure to Harness, Terraform Cloud/Enterprise, or AIOps platforms like Dynatrace or Datadog Experience running engineering culture change or developer productivity programmes Work Location Hybrid - London (primary) with flexibility All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
09/07/2026
Full time
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary We are seeking an exceptional Technical Programme Manager (TPM) to lead a large-scale Developer Experience (DX) transformation programme for a major banking client. This is a flagship engagement that will fundamentally reshape how engineering teams build, test, secure, and release software - spanning DevSecOps, Infrastructure as Code, AI assisted SRE, and automated compliance controls via Harness. This is not a purely administrative programme management role. We need someone who has lived in the engineering trenches - someone who understands the pain of slow pipelines, manual controls, and fragmented toolchains, and who can credibly lead the transformation away from them. You will work at the intersection of platform engineering, security, and developer productivity, driving change at scale across multiple squads and workstreams in a highly regulated banking environment. You will act as the senior delivery authority for the programme - partnering with the client's engineering leadership, internal architects, and specialist delivery teams to ensure every workstream lands on time, on budget, and with measurable uplift to the developer experience. Programme Delivery & Governance Own and drive the end to end DX transformation programme plan across all four workstreams, managing interdependencies, sequencing, and critical path Establish and maintain rigorous governance frameworks - RAID logs, steering committees, decision registers, and milestone tracking Manage dependencies across internal squads, the banking client, third party tooling vendors, and regulatory timelines Produce high quality programme reporting for C suite and board level audiences on both sides of the engagement Drive accountability across delivery teams without direct line authority, operating effectively in a matrix environment Technical Leadership & Oversight Act as the technical authority on delivery - able to credibly engage with platform engineers, security architects, and SRE leads on design decisions Challenge pipeline architectures, Terraform module designs, Harness policy configurations, and AI/ML tooling choices with informed judgment Identify and manage technical debt as a programme risk; balance velocity against engineering quality in a regulated context Facilitate architecture decision records (ADRs) and ensure technical choices are documented, justified, and aligned across workstreams Translate highly technical concepts into clear business and risk narratives for banking stakeholders Stakeholder Management Serve as the primary point of escalation and authority for the banking client's technology and engineering leadership Navigate complex stakeholder landscapes spanning engineering, security, risk, compliance, internal audit, and operations within the bank Manage executive expectations proactively, escalating risks and issues with clearly articulated mitigations and recommendations About You Technical Acumen Comfortable discussing DevSecOps concepts: CI/CD, shift left security, pipeline governance, secrets management, and policy as code - without needing to be the one implementing them Familiar with IaC principles Understands what good SRE looks like: SLOs, toil reduction, incident response, and AI assisted observability Enough cloud knowledge (AWS, Azure, or GCP) to understand architecture decisions and their delivery and cost implications Familiar with containers and Kubernetes at a conceptual level - you don't need to be a Kubernetes operator, but you need to understand what the teams are building on Programme Delivery Proven track record leading large, multi workstream technology transformation programmes - ideally in complex or regulated environments Strong governance instincts: RAID management, milestone tracking, dependency mapping, and steering committee reporting Comfortable managing ambiguity and shaping a programme from early stage discovery through to scaled delivery Experience managing budgets across multiple workstreams and holding commercial conversations with vendors Familiar with Agile delivery at scale (SAFe, Scrum) as well as structured governance approaches Stakeholder Management Able to operate confidently with senior engineering leads and C suite executives in the same week Experienced managing client relationships in a complex, high stakes environment - banking stakeholder landscapes are demanding Can translate highly technical delivery status into business risk language that non technical executives can act on Comfortable escalating early with options, not just problems Banking / Financial Services (Preferred, not essential) Domain experience is genuinely helpful but not a barrier to entry. What matters most is comfort in regulated, high governance environments where change management is rigorous and audit trails are not optional. Experience in banking, capital markets, insurance, or fintech - particularly around regulated change, CAB processes, or SOX compliant delivery - is a strong plus Familiarity with how compliance and audit requirements shape pipeline and tooling decisions in financial services is advantageous Nice to have Any formal certification in programme management (PMP, MSP, Prince2, SAFe SPC) - valued but not required Cloud certification at associate or professional level Prior exposure to Harness, Terraform Cloud/Enterprise, or AIOps platforms like Dynatrace or Datadog Experience running engineering culture change or developer productivity programmes Work Location Hybrid - London (primary) with flexibility All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary In this role, you will be working with internal and external stakeholders to architect, design and implement FinOps, IaC, and DB solutions for enterprise customers. You will have an opportunity to work with Harness Engineering and various customer functions, such as DevOps, SRE, Cloud, Finance and Engineering Analytics teams. You will develop best practices and automations to streamline Harness platform deployments in the most efficient, scalable, repeatable and reliable manner possible. We're a high-growth company on a once-in-a-lifetime journey to revolutionize engineering deployment tools & continuous delivery. In this role, you will partner closely with enterprise customers across EMEA to architect, design, and implement DevSecOps, FinOps, and Engineering Excellence solutions using the Harness platform. You will collaborate with Harness Engineering, Sales Engineering, and Customer Success, as well as customer teams including DevOps, SRE, Platform Engineering, Cloud Infrastructure, Finance, and Engineering Leadership. Your mission is to help customers modernize and scale their CI/CD practices in a way that is secure, cost-efficient, reliable, and aligned with business outcomes. This is a hands-on, customer-facing role in a high-growth global SaaS company, supporting organizations as they evolve their cloud-native and Kubernetes adoption across AWS, GCP, and Azure. About the Role Engage directly with customer technical teams to assess and understand existing processes and DevSecOps, CI/CD pipelines and governance models. Architect and implement an optimized Harness setup for integration, scale, and repeatability Interface with the Customer's Executive and Leadership teams to understand the technical goals and business objectives related to their processes, design their Harness implementation to best fit those requirements, and correlate the technical success criteria to the business requirements Provide positive anecdotes from each engagement, craft best practices around Customer implementations, convert them into automation and create reference patterns Document and implement processes and solutions that are employed for onboarding success for the purpose of internal enablement Contribute to the product design, assist in the Harness Community, and for building out of an advanced technical knowledge base Consult on DevSecOps, cloud-native CI/CD and Kubernetes Interact with customers on a professional, meaningful and technically deep level Define current-state vs. target-state architecture and a phased onboarding and adoption roadmap spanning CI/CD, IaC, security and reliability. Provide forward-looking technical direction aligned with both customer needs and platform evolution. Author and standardize design patterns (reusable pipeline templates, deployment strategies, golden paths) and integration blueprints to SCM, cloud, artifact registries, secret managers, identity, ITSM, and observability. Guide and oversee execution across implementation engineers and delivery partners. Drive onboarding and adoption across multiple teams and business units. Deliver hands-on implementation across CI/CD, infrastructure-as-code, supply-chain security, the internal developer portal, database DevOps, and site reliability. Partner with Customer Success and account teams to drive adoption, growth, and long-term customer success Work closely with Pre-sales and Post-sales teams to ensure that Harness customers are successful and experience a high level of customer satisfaction with the Harness solution About You BA/BS degree in CS or Computer Engineering-related field with 8+ years in consulting roles / software delivery / DevSecOps / Platform Engineering You have a strong consulting attitude and a commercial acumen in delivering custom solutions to customers of all sizes, stakeholder management, workshop facilitation, and customer-facing communication are part of your DNA. Your written and verbal communication are exceptional - You are able to present to a platform engineer team as well as a CxO with equal confidence. You have experience driving engineering culture change in large enterprises - such as onboarding and adoption of new tooling, processes, and ways of working at scale. You are a results-driven individual with a hunger for accomplishing in fast paced environments and a knack for optimizing processes You have a proven ability to work with cross-functional, distributed teams. You are a perpetual learner, thrive in a team setting, enjoy sharing your experience and solutions, consistently pursuing excellence and success in all your tasks, detail-oriented and analytical, with excellent written and verbal communication skills. You are familiar with architecture frameworks (TOGAF or equivalent) and Well-Architected reviews (AWS/Azure/GCP) You have proven hands-on experience leading migrations from incumbent tooling to a modern, consolidated delivery platform - including continuous delivery (e.g., IBM UrbanCode Deploy / UCD), continuous integration (e.g., Jenkins), and infrastructure-as-code management (e.g., Terraform Cloud / HCP Terraform). Willingness to travel up to 25% Last but not least, you have deep hands-on experience in at least 3 of the areas listed below, with working knowledge of the rest: CI/CD & pipelines: GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, CircleCI, GitOps principles with Argo CD/Workflows, Tekton, Buildkite, Bamboo, TeamCity, AWS CodePipeline. Policy-as-Code & governance: OPA/Rego, HashiCorp Sentinel, Kyverno. SSO & identity: Okta, Azure AD/Entra ID, OneLogin, Keycloak, LDAP, SAML/OIDC. Infrastructure as Code (IaC): Terraform, OpenTofu, Pulumi, AWS CloudFormation, Azure ARM/Bicep, Crossplane, Ansible - plus IaC orchestration/management such as Terraform Cloud / HCP Terraform, Spacelift, env0, Scalr, Terragrunt, Atlantis, AWS Proton IaC security scanning: Checkov, Wiz, Snyk IaC, Checkmarx, Terrascan Application security testing: SonarQube, Checkmarx, Veracode, Semgrep, Trivy, Grype, GitGuardian Internal developer portals & platform engineering: Backstage, Cortex, Roadie, Kratix, Port, OpsLevel, Atlassian Compass, Configure8, Humanitec - with hands-on catalog modeling, golden-path scaffolding, and scorecards Environment management & deployment: Argo CD, Flux, Spinnaker, Octopus Deploy, IBM UrbanCode Deploy, Codefresh; epoxy / on-demand environments (Bunnyshell, Qovery, Garden, Okteto, Signadot); configuration management with Ansible, Puppet, Chef, Saltstack in conjunction with Helm and Kustomize usage Database DevOps: Liquibase, Flyway (incl. Redgate Flyway), Bytebase, Atlas (Ariga), Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro Site reliability & incident response (incl. AI-assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps / AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft) Observability Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry Containers, cloud & foundations: Docker and Kubernetes (Helm, manifests, operators) on EKS/AKS/GKE; depth in at least one of AWS/Azure/GCP (IAM, networking, managed services); secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, CyberArk) Scripting, languages & OS: Linux, Bash, Python (or Go), PowerShell ITSM: ServiceNow, Jira Work Location UK, London. Travel is roughly 25% throughout the calendar year. What You Will Have at Harness Comprehensive healthcare benefits Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events . click apply for full job details
04/07/2026
Full time
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary In this role, you will be working with internal and external stakeholders to architect, design and implement FinOps, IaC, and DB solutions for enterprise customers. You will have an opportunity to work with Harness Engineering and various customer functions, such as DevOps, SRE, Cloud, Finance and Engineering Analytics teams. You will develop best practices and automations to streamline Harness platform deployments in the most efficient, scalable, repeatable and reliable manner possible. We're a high-growth company on a once-in-a-lifetime journey to revolutionize engineering deployment tools & continuous delivery. In this role, you will partner closely with enterprise customers across EMEA to architect, design, and implement DevSecOps, FinOps, and Engineering Excellence solutions using the Harness platform. You will collaborate with Harness Engineering, Sales Engineering, and Customer Success, as well as customer teams including DevOps, SRE, Platform Engineering, Cloud Infrastructure, Finance, and Engineering Leadership. Your mission is to help customers modernize and scale their CI/CD practices in a way that is secure, cost-efficient, reliable, and aligned with business outcomes. This is a hands-on, customer-facing role in a high-growth global SaaS company, supporting organizations as they evolve their cloud-native and Kubernetes adoption across AWS, GCP, and Azure. About the Role Engage directly with customer technical teams to assess and understand existing processes and DevSecOps, CI/CD pipelines and governance models. Architect and implement an optimized Harness setup for integration, scale, and repeatability Interface with the Customer's Executive and Leadership teams to understand the technical goals and business objectives related to their processes, design their Harness implementation to best fit those requirements, and correlate the technical success criteria to the business requirements Provide positive anecdotes from each engagement, craft best practices around Customer implementations, convert them into automation and create reference patterns Document and implement processes and solutions that are employed for onboarding success for the purpose of internal enablement Contribute to the product design, assist in the Harness Community, and for building out of an advanced technical knowledge base Consult on DevSecOps, cloud-native CI/CD and Kubernetes Interact with customers on a professional, meaningful and technically deep level Define current-state vs. target-state architecture and a phased onboarding and adoption roadmap spanning CI/CD, IaC, security and reliability. Provide forward-looking technical direction aligned with both customer needs and platform evolution. Author and standardize design patterns (reusable pipeline templates, deployment strategies, golden paths) and integration blueprints to SCM, cloud, artifact registries, secret managers, identity, ITSM, and observability. Guide and oversee execution across implementation engineers and delivery partners. Drive onboarding and adoption across multiple teams and business units. Deliver hands-on implementation across CI/CD, infrastructure-as-code, supply-chain security, the internal developer portal, database DevOps, and site reliability. Partner with Customer Success and account teams to drive adoption, growth, and long-term customer success Work closely with Pre-sales and Post-sales teams to ensure that Harness customers are successful and experience a high level of customer satisfaction with the Harness solution About You BA/BS degree in CS or Computer Engineering-related field with 8+ years in consulting roles / software delivery / DevSecOps / Platform Engineering You have a strong consulting attitude and a commercial acumen in delivering custom solutions to customers of all sizes, stakeholder management, workshop facilitation, and customer-facing communication are part of your DNA. Your written and verbal communication are exceptional - You are able to present to a platform engineer team as well as a CxO with equal confidence. You have experience driving engineering culture change in large enterprises - such as onboarding and adoption of new tooling, processes, and ways of working at scale. You are a results-driven individual with a hunger for accomplishing in fast paced environments and a knack for optimizing processes You have a proven ability to work with cross-functional, distributed teams. You are a perpetual learner, thrive in a team setting, enjoy sharing your experience and solutions, consistently pursuing excellence and success in all your tasks, detail-oriented and analytical, with excellent written and verbal communication skills. You are familiar with architecture frameworks (TOGAF or equivalent) and Well-Architected reviews (AWS/Azure/GCP) You have proven hands-on experience leading migrations from incumbent tooling to a modern, consolidated delivery platform - including continuous delivery (e.g., IBM UrbanCode Deploy / UCD), continuous integration (e.g., Jenkins), and infrastructure-as-code management (e.g., Terraform Cloud / HCP Terraform). Willingness to travel up to 25% Last but not least, you have deep hands-on experience in at least 3 of the areas listed below, with working knowledge of the rest: CI/CD & pipelines: GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, CircleCI, GitOps principles with Argo CD/Workflows, Tekton, Buildkite, Bamboo, TeamCity, AWS CodePipeline. Policy-as-Code & governance: OPA/Rego, HashiCorp Sentinel, Kyverno. SSO & identity: Okta, Azure AD/Entra ID, OneLogin, Keycloak, LDAP, SAML/OIDC. Infrastructure as Code (IaC): Terraform, OpenTofu, Pulumi, AWS CloudFormation, Azure ARM/Bicep, Crossplane, Ansible - plus IaC orchestration/management such as Terraform Cloud / HCP Terraform, Spacelift, env0, Scalr, Terragrunt, Atlantis, AWS Proton IaC security scanning: Checkov, Wiz, Snyk IaC, Checkmarx, Terrascan Application security testing: SonarQube, Checkmarx, Veracode, Semgrep, Trivy, Grype, GitGuardian Internal developer portals & platform engineering: Backstage, Cortex, Roadie, Kratix, Port, OpsLevel, Atlassian Compass, Configure8, Humanitec - with hands-on catalog modeling, golden-path scaffolding, and scorecards Environment management & deployment: Argo CD, Flux, Spinnaker, Octopus Deploy, IBM UrbanCode Deploy, Codefresh; epoxy / on-demand environments (Bunnyshell, Qovery, Garden, Okteto, Signadot); configuration management with Ansible, Puppet, Chef, Saltstack in conjunction with Helm and Kustomize usage Database DevOps: Liquibase, Flyway (incl. Redgate Flyway), Bytebase, Atlas (Ariga), Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro Site reliability & incident response (incl. AI-assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps / AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft) Observability Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry Containers, cloud & foundations: Docker and Kubernetes (Helm, manifests, operators) on EKS/AKS/GKE; depth in at least one of AWS/Azure/GCP (IAM, networking, managed services); secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, CyberArk) Scripting, languages & OS: Linux, Bash, Python (or Go), PowerShell ITSM: ServiceNow, Jira Work Location UK, London. Travel is roughly 25% throughout the calendar year. What You Will Have at Harness Comprehensive healthcare benefits Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events . click apply for full job details
