Incident Management Engineer Jobs

Regulatory Reporting Manager A Career with Point72's Regulatory Reporting Team The Regulatory Reporting team provides governance across all regulatory filings and related obligations globally. The team is responsible for report preparation, generating and coordinating responses for large cross-departmental filings, oversight of technology supporting regulatory filings, identification and implementation automation opportunities, and administering data standards. Regulators include but are not limited to the Securities and Exchange Commission (SEC), Commodities Futures Trading Commission (CFTC), National Futures Association (NFA), Monetary Authority of Singapore (MAS), Financial Conduct Authority (FCA), Securities and Futures Commission (SFC), Kanto Finance Bureau (KFB) and Dubai Financial Services Authority (DFSA). WHAT YOU'LL DO Lead and build a high-performing regulatory reporting team in Warsaw, recruiting, mentoring, and developing technical and regulatory expertise Own end-to-end delivery and governance of the firm’s regulatory filings and submissions across jurisdictions, ensuring accuracy and timely delivery Design and scale robust controls, reconciliations, and workflow processes to reduce risk and support regulatory reviews and audits Drive automation and data quality improvements by partnering with technology and data teams to build reporting pipelines, validation routines, and tooling Manage vendor relationships and external service providers, translating business requirements into clear deliverables and monitoring vendor performance Partner with Compliance, Legal, Finance, Risk, and business units to interpret regulatory obligations, gather requirements, and implement practical reporting solutions Oversee daily transaction reporting, investigate anomalies, and lead incident response, remediation, and root-cause analysis with clear escalation paths Partner on projects with Technology to implement new regulatory requirements and reporting enhancements

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

At Bolna, we’re building tools that change how businesses leverage voice AI. We’re looking for a Software Engineer to build reliable, scalable systems that power millions of production conversations across languages, industries, and telephony environments. This is a high-impact, high-ownership role where you’ll work on core platform problems across distributed systems, real-time communication, developer infrastructure, and customer-facing products. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities Build systems that operate at scale: Design and build backend services that support high-volume, real-time voice AI conversations with strong reliability, performance, and fault tolerance. Own features end to end: Take problems from product requirements and technical design through implementation, testing, deployment, monitoring, and iteration. Improve platform reliability: Build systems that are observable, resilient, and easy to debug. Identify bottlenecks, reduce failure rates, and improve system availability. Work on real-time infrastructure: Solve problems across telephony, streaming audio, webhooks, queues, scheduling, concurrency, and low-latency communication. Build for developers and customers: Improve APIs, SDKs, integrations, dashboards, and internal tools that make the Bolna platform easier to use and operate. Raise the engineering bar: Contribute to technical design reviews, code quality, testing standards, documentation, incident response, and engineering best practices. Required Skills Strong engineering fundamentals: Solid understanding of data structures, algorithms, databases, networking, operating systems, and distributed systems. Backend development experience: 2+ years of experience building and operating production backend systems using Python, Go, Java, Node.js, or a similar language. Production ownership: Experience shipping software to production and own

**Must already reside in the New York Tri-state area* The base salary range for this position is $85,000 - $119,000 annually, based on experience, skills, qualifications, and market factors. Want to work in technology within the financial services industry? We are looking for an experienced Production Support Analyst to join a dynamic technology team supporting mission-critical equities trading platforms and alternative trading systems. This role provides direct exposure to electronic trading, market structure, production engineering, and platform reliability within a fast-paced financial markets environment. We would like to talk to you if you: Experienced in supporting distributed systems and high-availability trading platforms. Like to work in a fast-moving environment and are not afraid to improve processes and systems. Enjoy new technological challenges and solving complex production issues. Are keen to learn about electronic trading, market structure, and production engineering while helping users and stakeholders solve critical business challenges. Believe a team working well together is smarter than the single smartest person on that team. Have grit, drive, and a deep sense of ownership. Thrive in a highly collaborative environment partnering with traders, developers, quantitative teams, and business stakeholders. As a Production Support Analyst, you'll help support and maintain mission-critical trading applications and alternative trading systems, ensuring platform stability, operational excellence, incident resolution, and continuous improvement across the production environment. About mthree Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide. Core Services Consulting and Advisory Managed S

The Team + The Role The Core team builds features and platform capabilities that power critical areas of the Pendo product experience. The team supports high-stakes customer use cases, shapes how systems evolve over time, and creates a more consistent experience across the platform. This work sits in complex product areas where delivery speed, system reliability, and long-term maintainability all matter. As a Sr. Software Engineer, you will own complex problem spaces and drive them forward independently. You will apply strong engineering judgment to ambiguous challenges, partner closely with Product and Design, and stay accountable to outcomes, not just output. You will break large efforts into small, continuously shippable increments, bring others along with you, and leave the codebase better than you found it. This role is based in our Raleigh office. What this looks like day-to-day Feature ownership: Own complex, ambiguous features end-to-end by structuring work into small, independently shippable increments. Drive delivery with clarity, strong judgment, and accountability for customer and system impact. Production engineering: Write production-ready code and define testing approaches based on risk and system impact. Use safe rollout patterns to reduce risk and enable incremental delivery. Incident response: Respond quickly when production issues arise in your area. Resolve issues and drive follow-up improvements that prevent recurrence. AI-enabled development: Use AI tools as a core part of your daily workflow for code generation, debugging, test writing, and task decomposition. Help raise the bar for how the team uses AI in development workflows. Technical collaboration: Deliver actionable code reviews, accurate documentation, and constructive contributions to technical discussions and planning sessions. Help teammates make better decisions through clear, direct input. Continuous improvement: Identify recurring friction points in code, tests, tooling, or proces

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. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

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. The Technology, Data & Intelligence Team Okta’s Technology, Data & Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Staff Site Reliability Engineer Opportunity Okta Federal, Inc. is looking for an experienced Staff TDI Site Reliability Engineer to help build, improve, and maintain our cloud platform services that help Okta support the most sensitive national security missions. The Site Reliability Engineering team delivers foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. You’ll play a key role in designing and implementing complex cloud-based engineering enablement systems, while ensuring compliance with strict government requirements. What you’ll be doing Operate and maintain enterprise grade solutions within air-gapped environments. Build, run, and monitor development tools, pipelines, and infrastructure with a security-first mindset. Operate autonomously within secure facilities. Maintain SLOs/SLIs for workloads with no dependency on external monitoring or SaaS tooling. Own runbooks and incident response procedures tailored to limited external escalation paths. Participate in POA&M remediation and support annual/recurring Authority to Oper

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Technical Program Manager, Security, you are the engine behind Palantir's security engineering teams. Palantir's software is trusted by some of the most critical institutions in the world, and protecting that trust requires a security organization that moves fast, stays ahead of threats, and never loses sight of quality. You partner with security engineers to drive our security programs forward, ensuring we are building and shipping secure, resilient products every day. You track and stabilize projects, remove roadblocks, and anticipate stakeholder needs to free up our engineers to focus their time and attention on the security problems they are best equipped to solve. Core Responsibilities Partner with Palantir security engineers, infrastructure teams, product managers, and legal to drive key security deliverables through the entire software development and security lifecycle. Synthesize concrete security goals from product and threat landscape vision, mapping global security strategy to granular team tasks and issues. This means triaging requests from the field to create maximum focus for the team, while escalating items that need immediate attention. Keep broad and complete state of everything involving or related to your projects, including vulnerability remediation timelines, incident response obligations, and detection coverage gaps. Pre-empt and resolve any issues that may steer projects off-course. Enhance cross-team collaboration across security engineering, IT, legal, and customer-facing teams. Read a room of technical experts to align them around shared objectives. Improve efficiency where you see miscommunica

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Technical Program Manager, Security, you are the engine behind Palantir's security engineering teams. Palantir's software is trusted by some of the most critical institutions in the world, and protecting that trust requires a security organization that moves fast, stays ahead of threats, and never loses sight of quality. You partner with security engineers to drive our security programs forward, ensuring we are building and shipping secure, resilient products every day. You track and stabilize projects, remove roadblocks, and anticipate stakeholder needs to free up our engineers to focus their time and attention on the security problems they are best equipped to solve. Core Responsibilities Partner with Palantir security engineers, infrastructure teams, product managers, and legal to drive key security deliverables through the entire software development and security lifecycle. Synthesize concrete security goals from product and threat landscape vision, mapping global security strategy to granular team tasks and issues. This means triaging requests from the field to create maximum focus for the team, while escalating items that need immediate attention. Keep broad and complete state of everything involving or related to your projects, including vulnerability remediation timelines, incident response obligations, and detection coverage gaps. Pre-empt and resolve any issues that may steer projects off-course. Enhance cross-team collaboration across security engineering, IT, legal, and customer-facing teams. Read a room of technical experts to align them around shared objectives. Improve efficiency where you see miscommunica

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. Okta’s Technology, Data & Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Staff Site Reliability Engineer Opportunity Okta Federal, Inc. is looking for an experienced Staff TDI Site Reliability Engineer to help build, improve, and maintain our cloud platform services that help Okta support the most sensitive national security missions. The Site Reliability Engineering team delivers foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. You’ll play a key role in designing and implementing complex cloud-based engineering enablement systems, while ensuring compliance with strict government requirements. What you’ll be doing Operate and maintain enterprise grade solutions within air-gapped environments. Build, run, and monitor development tools, pipelines, and infrastructure with a security-first mindset. Operate autonomously within secure facilities. Maintain SLOs/SLIs for workloads with no dependency on external monitoring or SaaS tooling. Own runbooks and incident response procedures tailored to limited external escalation paths. Participate in POA&M remediation and support annual/recurring Authority to Operate activities. Support and run mission criti

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Asset & Earn Team 2 is responsible for building and scaling next-generation earn and lending solutions at one of the world's largest crypto exchanges. As a developer on this team, you will work on Simple Earn, Flash Earn (including Jumpstart), Loan products, and Stablecoin Yield features — powering millions of users' passive income journeys in the crypto ecosystem. What You'll Be Doing: Design and develop high-performance, high-availability backend services for Simple Earn, Flash Earn, and Loan products Build and maintain the Jumpstart subscription and allocation system for new token launches Design and implement backend systems for stablecoin yield distribution and settlement Work closely with Product, Design, Risk, and Quant teams to deliver innovative earn and lending features Participate in on-call production support and incident response to ensure platform stability What We Look For In You: Proficient in AI-assisted development tools such as Codex and Claude Code — mandatory requirement to boost engineering productivity and iteration speed Mini

Omada Health is on a mission to bend the curve of chronic disease. Job overview: Omada Health is seeking a Director, Privacy Counsel to manage and mature our enterprise-wide privacy program across a complex and rapidly evolving regulatory landscape. This individual contributor role will operate at the intersection of healthcare regulatory law, consumer technology, and clinical operations, providing practical, business-oriented guidance that enables innovation while protecting our members’ data and trust. Reporting to the VP, Privacy and Healthcare Regulatory, you will serve as Omada’s primary operational privacy leader, partnering across Product, Engineering, Clinical, Commercial, and other key functions to design, implement, and continuously improve policies, processes, and controls that keep us compliant and ahead of emerging risks. Your impact: Manage Omada’s HIPAA privacy program, including policy and procedure development, incident investigations, and breach determination and response, ensuring compliance with HIPAA Privacy, Security, and Breach Notification Rules. Drive privacy-by-design across digital products and services by embedding privacy requirements into product development, engineering workflows, clinical operations, and other business processes. Execute Omada’s privacy risk assessment program, including data governance, vendor due diligence, and privacy review for commercial deals with employers, health plans, and PBMs, ensuring our contractual and regulatory obligations are met. Provide expert guidance on consumer privacy compliance, including state consumer health data and general consumer privacy laws, digital advertising, and tracking technologies. Serve as a key advisor on AI and emerging technologies, including AI privacy guidance and governance considerations across Omada’s AI and machine-learning initiatives. Support interoperability and health information exchange participation (e.g., Carequality, CommonWell, TEFCA) by counseling on privacy

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is looking for a Site Reliability Engineer About the Role This is not a "keep the lights on" SRE role. As our first or early SRE hire you will be building the reliability engineering function at Forward — defining how we think about availability, observability, incident response, and operational excellence across a complex, distributed SaaS platform. You will work closely with engineering, infrastructure, and product to ensure our platform meets the reliability bar our enterprise customers demand. If you thrive in environments where you're handed a problem rather than a playbook this role is for you. What You'll Own Define and drive SRE practices from the ground up — SLOs, SLIs, error budgets, and the frameworks the engineering org will actually use Drive the reliability and operational excellence of the Forward SaaS plat

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects — design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation