Incident Management Engineer Jobs

About the role As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Required hours This is a fulltime position working India daytime hours. The role will work both weekend days (Saturday and Sunday) as well as two additional weekdays. This is a 4-day shift, 10 hours per day, with 2 additional hours of on-call coverage on Saturdays and Sundays. The role would start as a Monday to Friday role for the first few months to allow for ramping up and learning from teammates. After being considered fully ramped, the role would transition to the 4-day weekend shift. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. Act as a customer facing SRE to ensure our customer’s Inference endpoints (running on Kubernetes) remain healthy, stable, and performant Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Assist with hardware and platform migrations by validating system health and traffic routing. Monitor dashboards to detect anomalies and escalate with data-backed analysis Manage customer-facing communications during incidents and degradations; translate deep technical findings (latency regression

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Join our growing security team and help drive security detection and response initiatives across Ramp. This will include a focus on maturing our security detection and alerting capabilities across our federal and public sector environments. Please note that this role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 2 days/week What You’ll Do Respond and assist with security requests and incidents submitted by Ramp team members Review logging, alerting, and audit sources to identify potential security incidents and perform initial triage on identified incidents Contribute to the creation, upkeep, and tuning of runbooks and security alerts to effectively handle, triage, and improve security alerts Work closely with the Ramp Security Engineers to improve security alerting and automated remediation Utilize log ingestion platform for security analytics and identification of tactics, techniques and patterns of attackers Design and implement automation to detect and respond t

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for an experienced Backend Engineer from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. About the Team: The Business Travel team enable organizations to provide customized ride benefits at scale - whether that's employees expensing business trips and earning rewards. As a backend engineer, you'll build systems that power complex benefit rules, location restrictions, and integrations with expense providers like Concur and Expensify. This is a high-growth area for Lyft with meaningful impact potential. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Have the ability to explain the various trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Implement tasks with good quality code leading to positive execution Participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results Experience: 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problem Practical experience with AI development to improve product experiences Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure) Proficiency in object-oriented programming; experience with the

Support Engineer at Cleo (India) Bengaluru Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years. Responsibilities will include but not be limited to: Mandatory Skills: Experience with EDI mapping (EDI to XML, EDI to flat file etc.) Good understanding of ANSI X12 and EDIFACT standards. Experience with XML, flat files and spreadsheets. Experience with transfer protocols such AS2, FTP/s, SFTP and HTTP/s. Team player with good written and verbal communication skills. Analytical and problem-solving skills. Desired Skills: Exposure to basic API concepts Exposure to basic database concepts and SQL queries. Preferred Skills: Experience in B2B/EDI Support role Experience in Cleo Products Key Responsibilities: Manage the CIC environment within Cleo B2B Cloud systems. Respond to incidents and/or event-driven alerts and troubleshoot customer issues. Investigate data related EDI issues and inform the customers with the root cause. Bug-fixes for the EDI translation issues identified in production. Trading partner on-boarding and creation of SFTP/AS2 setups. Work effectively with other internal departments to ensure the highes

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and

Sr. Security Engineer, Corporate Security At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Security Engineers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consult with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built. We're looking for an engineer to own the security of the systems Lyft employees rely on every day: identity, endpoints, and the data that moves between them. Corporate Security sits where security meets IT, so the work spans detection engineering, platform operations, and the automation that ties them together. We'd rather write code than file tickets, and we measure ourselves on control coverage and time-to-remediate. If you want real ownership over how security works at company scale, this is that role. Responsibiliti

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of on-call experience for critical p

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: 5+ years of experience writing high-quality production code Experience building high-performance distributed systems at a large scale (the more battle scars, the better) Strong cloud skills Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) Ability to work in-person in our Stockholm office. Prior experience with Rust is nice to have, but not required. Ability to participate in on-call rotation and respond to production incidents.

Job Title: Aseptic Pharmacy Technician Banding: 5 Location: Bradford Start Date: ASAP End date: April Hourly Rate: £19-£21 Working Hours: 37.5 Job Overview We are seeking an experienced Aseptic Pharmacy Technician to join our team. The successful candidate will be responsible for the accurate preparation, assembly, and documentation of sterile medicinal products within an aseptic environment. This role ensures compliance with regulatory standards, aseptic technique, and quality assurance procedures to support safe and effective patient care. Key Responsibilities Prepare sterile pharmaceutical products, including intravenous admixtures, cytotoxic drugs, parenteral nutrition, and other aseptic preparations, in accordance with approved procedures. Operate within controlled cleanroom environments, maintaining strict aseptic technique and contamination control. Follow Standard Operating Procedures (SOPs), Good Manufacturing Practice (GMP), and relevant regulatory guidelines. Accurately label, check, and document all aseptic preparations. Perform routine cleaning, environmental monitoring, and equipment checks within aseptic areas. Participate in validation, media fills, and competency assessments as required. Assist in stock control, storage, and rotation of raw materials and consumables used in aseptic services. Identify, report, and document deviations, incidents, and near-misses in line with quality systems. Work collaboratively with pharmacists, technicians, and other healthcare professionals to meet service demands. Support training of new staff and contribute to continuous quality improvement initiatives. Qualifications and Experience Accredited Pharmacy Technician qualification (or equivalent). Registration with the relevant professional or regulatory body (where applicable). Previous experience working in an aseptic or cleanroom environment is highly desirable. Knowledge of aseptic techniques, GMP, and infection control principles. Why Choose Pulse? Competitive p

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design. What you’ll do: Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy. Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services. Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions. Contribute to our follow-the-sun on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues. Because our team is globally distributed, your on-call shifts will only occur during your standard local working hours. Develop and refine our SRE tooling and proc

JOB TITLE Data Reliability Engineer A CAREER WITH CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Ensure smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe Serve as a frontline owner for mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with investment professionals, data scientists, and external data vendors. Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What’s REQUIRED Bachelor’s degree in computer science or a related field. Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments. Exceptional attention to detail with a strong appreciation for well-defined processes and systems. 3+ years of experience in a client-facing support or operations role. Excellent organizational, communication, and interpersonal skills. Commitment to the highest ethical standards About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Poin

About the Team The Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. In this role, you will: Design and build the development and production platforms that power our products, enabling reliability and security at scale Ensure our infrastructure can scale to the next order of magnitude Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scale Have experience building abstractions over cloud platforms Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and

About the Team The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. This role is based in San Francisco, CA. In this role, you will: Design and build the development and production platforms that power our products, enabling reliability and security at scale Ensure our infrastructure can scale to the next order of magnitude Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scale Have experience building abstractions over cloud platforms Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely depl

Locations: South Jordan, UT Salary: $56,000 Launch Your Career in Technology Every app, website, payment, and digital service relies on technology running smoothly behind the scenes. When something goes wrong, Production Support Engineers are the people who investigate the issue, restore service, and help prevent it from happening again. If you're curious, analytical, and enjoy solving problems, this is an opportunity to build hands-on experience with cloud platforms, Linux, automation, databases, and large-scale enterprise systems from day one. What Is Production Support? Production Support Engineers keep business-critical applications running reliably in live environments. Think of it this way: Software Engineers build the platform. QA Engineers test the platform. Production Support Engineers keep the platform running when it matters most. Working at the intersection of technology and business, you'll troubleshoot issues, automate processes, and help improve the reliability and performance of systems used by thousands, or even millions, of people every day. If you enjoy solving puzzles, working under pressure, and understanding how large-scale systems work, this could be the perfect place to start your career. What You'll Do As part of a global production engineering team, you'll: Help support large-scale applications and platforms used by leading organizations around the world. Monitor business-critical applications and services to ensure high availability and performance. Investigate and resolve production incidents across applications, infrastructure, databases, and cloud environments. Analyse logs, alerts, and system metrics to identify root causes and prevent recurring issues. Partner with software engineers, infrastructure teams, and business stakeholders to improve system reliabilit