Production Support And Incident Commander Jobs

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is seeking an experienced AI Systems Reliability Engineer to help define, build, and maintain the infrastructure and processes that ensure the reliability, scalability, and performance of Postman’s AI-powered API and agentic systems in production. This role focuses on monitoring, availability, incident response, and automation to support AI services and tools trusted by millions of developers globally. What You’ll Do Develop and manage reliability metrics (SLOs) for AI-driven API services and agentic AI platform features Implement comprehensive observability and monitoring systems for real-time performance and fault detection Design and drive automated failover, recovery, and incident response strategies for high-availability AI infrastructure Optimize resource utilization, particularly GPU/accelerator efficiency, ensuring cost-effective AI system operation Collaborate closely with engineering, platform, and product teams to align reliability efforts with broader organizational goals Lead efforts to build internal tooling and automation focused on AI system stability and operational excellence Drive continuo

CSQ127R154 As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production. Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP. The Impact You’ll Have Observability Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience. Build reliable, observable automation for debugging and incident mitigation. Reliability Improve service reliability, scalability, security, and operational efficiency. Develop dependable, safe, mitigations for production issues. On-Call & Incident Response Participate in a follow-the-sun on-call rotation and lead incident response and mitigation. Perform root-cause analysis, identify and implement lasting corrective actions. Partner with Product Engineering, Security, Support, and other infrastructure teams on follow up actions. What We Look For Experience 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field. Experience in holistic monitoring and alerting of complex stateful systems, applying multiple strategies like workload alerting, anomaly detection and probing. Experience with PostgreSQL, or related managed databases or distributed systems. Experience in incident management and participating in on-call rotations for critical infrastructure. Skillset A mindset focused on automation, root-cause resolution, and continuous improvement. Strong programming skill

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev

About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. About the Role We are seeking a Site Reliability Engineer II (SRE II) to help ensure the stability, scalability, and reliability of our services and infrastructure. This role focuses on building automation, maintaining observability, and supporting incident response to keep customer-facing systems performing at their best. The SRE will collaborate with engineering, product, and operations teams to embed reliability practices into day-to-day development and operations while contributing to tools and processes that improve efficiency and reduce manual effort. Key Responsibilities Service Reliability & Operations Support the availability and durability of critical services across production environments. Monitor service health using SLIs, SLOs, and error budgets, and escalate issues when thresholds are at risk. Participate in on-call rotations, incident response, and post-incident reviews to drive service improvements. Follow established ITIL/OSS processes (incident, change, problem, and capacity management). Automation & Tooling Develop automation for common operational tasks, reducing manual intervention and toil. Contribute to monitoring,

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. What you’ll do: Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Lead and contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Our humble expectations: 7+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. 2+ years of production experience in Golang , with the ability to mentor others and drive best practices across the team. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Previous on-call experience , with a pragmatic approach to reliability and incident management. What we value A product-oriented mindset — you think beyond the ticket, understand the “why” behind the work, and aim to create real

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning. In this role you will help build and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale. We are looking for a candidate who is genuinely excited about building with modern AI — LLMs, agents, and retrieval — eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both. What you’ll do Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data, with support and guidance from senior engineers. Help build and maintain the systems behind them — prompt and agent orchestration, retrieval pipelines, tool/API integratio

The Senior Site Reliability Engineer (SRE) is responsible for ensuring the reliability, availability, performance, and operability of production systems across our platforms, by applying software engineering practices to operations, with a focus on automation, observability, and incident response. Responsibilities: Own and improve the reliability, availability, and performance of production services in Google Cloud (GCP). Participate in incident management, including detection, triage, mitigation, escalation, and recovery. Use and improve incident workflows and tooling (e.g., ServiceNow) to ensure clear ownership and timely communication. Design, implement, and operate observability solutions including monitoring, logging, tracing, synthetics, and dashboards (e.g., Splunk Observability, OpenTelemetry ). Reduce operational toil through automation and engineering-led solutions, proactively introducing and driving SRE best practices. Support on-call rotations across multiple time zones, contributing to a sustainable 24/7 support model. Define, monitor, and report SLIs, SLOs, and error budgets for critical services. Drive and be accountable for best-in-class service availability through SRE principles, automation, and proactive reliability engineering. Essential skills and/or Certifications: Bachelor’s degree in Computer Science, Information Technology or related field Strong experience with cloud-native concepts and technologies, with a strong preference for Google Cloud Platform (GCP) and Kubernetes (GKE ). Proven experience with Site Reliability Engineering and production incident management , ideally using platforms such as ServiceNow. Experience with monitoring and observability tools, including metrics, logs, traces, and synthetics (e.g., Splunk Observability, OpenTelemetr

A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10&#43; years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. Partner with machine learning engineers to bring new classification capabili