Software Engineer, Security Observability Job at OpenAI (New York City)

Software Engineer, Security Observability

We are seeking a Software Engineer, Security Observability to join our Security ...

Location

United States , Seattle

Salary:

234400.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong software engineering experience
Proficiency in programming languages such as Python, Golang, or similar
Background in infrastructure as code
Experience using tools like Terraform
Experience working with cloud platforms such as Azure
Experience with building and maintaining data pipelines, particularly for security-related use cases
Generalist engineering mindset with flexibility to pivot between various technical domains
Ability to collaborate effectively with security and engineering teams
Proactive and detail-oriented approach to problem-solving

Job Responsibility

Design and develop scalable software systems that facilitate security observability across our infrastructure
Build and maintain data pipelines that centralize and store security-relevant data from diverse sources
Proactively improve the resilience and reliability of data systems to ensure high platform availability
Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk
Contribute to data engineering in support of forensic investigations and compliance efforts

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Software Engineer, Security Observability

We are seeking a Software Engineer, Security Observability to join our Security ...

Location

United States

Salary:

234400.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar
A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure
Experience with building and maintaining data pipelines, particularly for security-related use cases
A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security
The ability to collaborate effectively with security and engineering teams to understand evolving data needs and implement scalable solutions
A proactive and detail-oriented approach to problem-solving, with a focus on improving security data visibility and forensic capabilities

Job Responsibility

Design and develop scalable software systems that facilitate security observability across our infrastructure
Build and maintain data pipelines that centralize and store security-relevant data from diverse sources
Proactively improve the resilience and reliability of data systems to ensure high platform availability
Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk
Contribute to data engineering in support of forensic investigations and compliance efforts

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Software Engineer, Security Observability

We are seeking a Software Engineer, Security Observability to join our Security ...

Location

United States , San Francisco

Salary:

234400.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar
A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure
Experience with building and maintaining data pipelines, particularly for security-related use cases
A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security
The ability to collaborate effectively with security and engineering teams to understand evolving data needs and implement scalable solutions
A proactive and detail-oriented approach to problem-solving, with a focus on improving security data visibility and forensic capabilities

Job Responsibility

Design and develop scalable software systems that facilitate security observability across our infrastructure
Build and maintain data pipelines that centralize and store security-relevant data from diverse sources
Proactively improve the resilience and reliability of data systems to ensure high platform availability
Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk
Contribute to data engineering in support of forensic investigations and compliance efforts

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Staff Software engineer - Authentication and Security Observability

The Login Services team sits within Core Security Engineering and owns Uber’s au...

Location

United States , Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
8+ years of industry experience building large-scale backend platforms, with deep experience in distributed systems and production infrastructure
Strong programming experience in multiple languages (e.g., Go, Java, Python, Node.js/TypeScript), with a track record of shipping reliable systems
Demonstrated expertise designing and operating scalable distributed services, including reliability engineering and operational excellence (observability, incident response, SLAs)
Strong background in security engineering, preferably in identity/authentication and building or operating security-critical pipelines at scale
Proven ability to own complex systems end-to-end—from architecture and implementation to rollout, monitoring, and long-term maintainability—in large-scale environments

Job Responsibility

Lead architecture and execution of core authentication capabilities for human and non-human identities, delivering secure, resilient, and frictionless login experiences at Uber scale
Own and evolve Uber’s tier-zero authentication and SSO infrastructure, maintaining high availability, security, and performance for core login flows and enabling secure, policy-driven access to internal and third-party applications
Build and evolve platform services (APIs, workflows, policy enforcement) with strong engineering fundamentals: reliability, performance, observability, and safe rollout/rollback
Develop the Security Knowledge Platform, building the data/graph foundations and risk signals to categorize identity + asset risk and power multiple security and product use cases
Build the next generation of automation and intelligence—agentify IAM operations to reduce toil/cost and develop the Security Knowledge Platform to power identity + asset risk insights across Security Engineering
Partner cross-functionally and raise the bar—align stakeholders across Security/IT/Ops/Product, mentor engineers through design reviews and incident learning, and set technical direction for the team

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Staff Security Software Engineer - Security Operations

The Role GM’s Cybersecurity Team safeguards the company’s global information ...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

8+ years in software engineering with a focus on distributed systems, security integrations, and data platforms
Deep expertise building event-driven, horizontally scalable services and contract-first APIs
Track record productizing AI in security workflows (multi-agent patterns, RAG at scale, evaluation harnesses, guardrails, red-teaming)
Cloud architecture depth (Azure/AWS/GCP), including networking, Kubernetes, service meshes, observability stacks, and IaC at scale
Data platform expertise: streaming (Kafka/Event Hub/PubSub), vector/search (pgvector/FAISS/Pinecone), schema/versioning, governance/lineage
Demonstrated org-wide influence: authored standards, drove cross-team adoption, led multi-quarter programs to successful outcomes
Exceptional communication with executives
ability to frame risk, ROI, and tradeoffs succinctly

Job Responsibility

Set the reference architecture for security data integration and AI orchestration (agents, policy-guard railed workflows, governance)
Lead cross-org programs that unify SIEM/EDR/IAM/SSPM/CSPM/ITSM/cloud data models and establish single sources of truth
Operationalize AI at scale with safety, privacy, and governance—including data retention, PII controls, model routing, evaluation, and fallback strategies
Drive cost/performance optimization (throughput, latency, storage tiering, vector index strategies) for high-volume security telemetry
Influence vendor strategy and negotiate integration roadmaps
guide build-vs-buy decisions and multi-year investments
Mentor/coach Staff/Senior engineers
build a culture of design excellence, pragmatic risk management, and measurable outcomes
Communicate upward with crisp executive narratives, metrics, and business impact framing

What we offer

Relocation benefits

Fulltime

Senior Security Software Engineer - Security Operations

The Role GM’s Cybersecurity Team safeguards the company’s global information ass...

Location

United States , Warren

Salary:

125200.00 - 158600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5-7 years in software security engineering
advanced proficiency in modern programming languages
Expert in API development, microservices, event streaming, and idempotent integration patterns
Experience deploying software using any modern CI/CD pipeline and automated delivery practices
Hands-on with security tooling integrations (e.g., SIEM, EDR, SSPM)
Proven AI integration experience: LLM agents, embeddings, vector databases, RAG, prompt engineering
Cloud proficiency (Azure/AWS/GCP) and IaC (Terraform/Bicep/ARM/CloudFormation)
Data engineering fluency: ETL/ELT, schema design, normalization/enrichment
formats (JSON, YAML, syslog, STIX/TAXII)
Excellent cross-functional communication

Job Responsibility

Own architecture & delivery for complex integration services (APIs, microservices, event-driven workflows) with production SLIs/SLOs
Build AI-driven workflows (RAG, summarization, classification, agents) that augment investigations, triage, and orchestration
Create reusable connectors bridging SIEM/EDR/IAM/SSPM/ITDR/ITSM and cloud telemetry with robust error handling, retries, and DLQs
Implement security automation (SOAR-like playbooks) that enrich alerts and trigger deterministic + AI-assisted responses
Harden and observe services with CI/CD, automated testing, performance profiling, metrics, and incident runbooks
Mentor engineers and lead technical design reviews, coding standards, and reference implementations
Translate requirements into clear epics/roadmaps
align stakeholders and deliver on time with quality

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
incentive pay program based on company, job level, and individual performance

Fulltime

Principal Software Engineer, Security AI

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions t...

Location

United States , Mountain View

Salary:

142800.00 - 304200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Design, build, and operate AI-powered software services that support security engineering across Microsoft’s cloud environment
Develop AI-enabled workflows that help engineering and security teams analyze information, retrieve relevant context, summarize findings, and make faster, higher-quality decisions
Build scalable systems that use large language models, retrieval-augmented generation, embeddings, semantic search, knowledge graphs, and related AI techniques to support security scenarios
Create evaluation, measurement, and monitoring approaches that help assess AI system quality, reliability, safety, and effectiveness in production environments
Partner with engineering, applied science, product, security operations, and other teams to translate AI advances into practical, secure, durable and reliable platform capabilities
Incorporate responsible AI, privacy, security, and compliance considerations into the design, deployment, and operation of AI-powered systems
Contribute to production readiness for services, including architecture, APIs, reliability, scalability, observability, cost efficiency, incident response, and continuous improvement
Provide technical leadership through design documents, architecture discussions, code reviews, and collaboration with partner teams
Mentor engineers and help raise the engineering bar through thoughtful technical guidance, high-quality implementation, and operational excellence
Use data, telemetry, partner feedback, and operational learnings to continuously improve AI capabilities, system reliability, and platform impact

What we offer

Benefits and other compensation may be eligible
Additional benefits and pay information available at https://careers.microsoft.com/us/en/us-corporate-pay

Fulltime

New

Software Engineer - Observability

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

Ireland , Dublin

Salary:

63400.00 - 105700.00 EUR / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science or related discipline, or equivalent experience
Software development with demonstrated experience shipping products or services
Solid understanding of data structures, algorithms, and system design fundamentals
Strong problem-solving and analytical skills, with a structured approach to software design
Ability to collaborate effectively in a cross-functional team environment
Strong communication skills
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Design, develop, and operate large-scale, multi-tenant telemetry ingestion pipelines and services (real-time and batch) to handle massive data volumes
Build and enhance APIs, tools, and subsystems for telemetry collection, routing, storage, and efficient data access
Integrate advanced capabilities (e.g., machine learning–based anomaly detection and data validation) to enhance platform intelligence and insights
Own core components of the ingestion and observability platform, driving continuous improvements in reliability, scalability, performance, and data quality
Implement robust monitoring, alerting, and diagnostics and ensure production services run reliably, including participation in on-call rotations and incident response
Collaborate with partner teams to deliver end-to-end observability solutions and contribute to design reviews and best practices that uphold high engineering standards
Embody our culture and values

Fulltime

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Software Engineer, Security Observability

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