4 jobs found

Job Summary Position Overview: We are looking for a self motivated Software Engineer to join the Research and Development team responsible for significant contributions to software project initiatives associated with product development and improvements. This person is expected to be responsible for well designed and well tested code, with the ability to apply creative solutions to problems, and thrive in a multi discipline team environment. Responsibilities Designs, develops, tests and documents embedded system software for new and existing Insulet products. Ensures that design is in compliance with company policies and that software activities are appropriate for the design and maintenance of medical products. Writes and maintains design documentation and testing requirements. Works with Quality, Regulatory, Marketing and Manufacturing to ensure that designs meet technical, regulatory and manufacturing requirements. Works closely with other software, software QA, and hardware engineers to integrate, debug, and test systems. Participates in product design reviews. Performs other duties as required. Education and Experience Bachelor's degree in software engineering and 5+ years of relevant work experience. Strong programming skills in C and/or C++. Hands on experience with embedded systems. Experience on processors like ARM, TI and MSP (or similar embedded systems/microcontrollers). Preferred Skills and Competencies Demonstrated working knowledge of software design. Experience developing software for embedded microcontrollers. Knowledge of I2C, SPI, Flash, EEPROM and/or USB. Familiarity with communication systems and/or wireless protocols. Medical device experience. Able to work independently with minimum supervision. Able to be responsible for designing, implementing, and maintaining a section of a design. Detail oriented, effective verbal and written communication skills. Able to communicate with candor and trust at multiple levels of the organization. Demonstrated abilities to leverage creativity in order to overcome obstacles and work with a sense of urgency. Strong software engineering development skills. Knowledge of OS concepts like dead locks, threading, mutual exclusion, interrupt services. Good understanding of RTOS and real time systems. In depth object oriented programming. Familiar with reading electrical schematics. Able to organize and judge multiple priorities. Agile or other software development life cycle concepts. Knowledge of wireless protocols like Bluetooth Low Energy (BLE). Physical Requirements General office environment, may sit for long periods of time. Process We are seeking a mid level Okta Customer Identity (CIAM) Engineer to design, implement, and operate customer facing identity capabilities using the Okta platform. This role is ideal for an engineer who can independently deliver well scoped solutions, apply security best practices to customer authentication flows, and improve reliability through automation and testable deployments. Key Responsibilities Administer and enhance Okta CIAM configurations including customer authentication policies, MFA enrollment, session management, and sign on policies. Build, maintain, and optimize customer identity flows (e.g., login, registration, account recovery, step up authentication) with attention to security and user experience. Implement and manage customer identity features such as custom claims, token/session behavior, and Authorization Server configurations where applicable. Monitor platform health and customer authentication signals; respond to incidents and trends impacting customer login success and security posture. Design and implement integrations with customer facing applications using OIDC/OAuth2.0 and SAML2.0, including troubleshooting end to end auth flows. Partner with application teams to define requirements for claims, scopes, redirect URIs, logout behavior, and session controls. Build and maintain automation using Okta Workflows, event hooks/inline hooks (as applicable), and scripting to reduce manual operations and improve consistency. Improve operational readiness via runbooks, standardized onboarding of new apps, and reusable configuration patterns. Apply security best practices across customer identity including least privilege, secure token policies, MFA strategy, and strong auditability. Support compliance and audit evidence collection including configuration traceability, change history, logs, and documented controls. Maintain high quality, versioned documentation including architecture notes, configuration standards, integration guides, and operational runbooks. Collaborate with security and governance teams to ensure identity designs align to enterprise policies and customer risk tolerances. Lead small to medium initiatives end to end: scoping, design, implementation, testing, and production rollout. Provide technical guidance to junior admins/engineers through reviews, pairing, and knowledge sharing. Contribute to reference architecture and platform standards including reusable patterns, best practices, guardrails, and design templates. Required Qualifications Bachelor's Degree and/or equivalent combination of education and experience. Proven relevant engineering experience including hands on with Okta in a customer identity context. Strong understanding of CIAM fundamentals including authentication flows, MFA enrollment, sessions, and secure customer login patterns. Hands on experience implementing and troubleshooting protocols such as OIDC, OAuth2.0, and SAML2.0. Strong troubleshooting, analytical, written, and verbal communication skills. Preferred Qualifications Okta certification(s) such as Okta Certified Administrator or Professional. Experience with Authorization Servers, custom claims, token customization, and hooks. Experience integrating identity logs with monitoring or SIEM tools. Familiarity with security and compliance frameworks such as NIST, SOC2, and HIPAA. Familiarity with ITSM tools and change management processes (e.g., ServiceNow, Jira). Experience managing identity configuration using tools like Terraform. Practical experience with automation and repeatability concepts. Insulet Corporation is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? Job Overview: Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands on professionals to design and deliver client centric intelligent systems and support business growth through strategic pre sales and solutioning initiatives. Key Responsibilities Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel. Architect LLM powered workflows involving multi agent collaboration, decision logic, memory management, and external tool integration. Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.). Participate in RFI/RFP responses, creating high impact solution overviews, architectural diagrams, and effort/cost estimations. Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps. Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications. Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys' AI frameworks. Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning). Provide technical mentorship and hands on support to junior consultants, helping shape internal capability development. Collaborate with cross functional teams on AI governance, responsible AI practices, and integration into enterprise environments. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect level roles. 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands on development with LLMs and autonomous AI agents. Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. Experience with pre sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment. Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices. Exceptional communication and consulting skills, with the ability to present solutions to both technical and non technical stakeholders. Preferred Skills Hands on exposure to cognitive architectures, planning based agents, or reinforcement learning in real world deployments. Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems. Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now. We offer industry leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!

About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work - you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale. You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense in depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating. This role can be based inSan reporting to our head of security operations. What you'll do Design and implement detection strategies that identify AI specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure. Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints. Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership. Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them. Build detection as code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data. Collaborate cross functionally as the operational security partner for all teams - translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails. Maintain 24/7 on call rotation for critical AI security incidents, responding to real time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve. What you need 3-5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, plus 3+ years specifically securing AI/ML infrastructure, high performance computing environments, or other distributed systems at scale. Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud native and distributed computing environments. Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments. Self directed execution mindset with a track record of securing high value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents. Deep alignment with WRITER's values - you naturally Connect across security, infrastructure, and AI research teams to build comprehensive defenses, you Challenge assumptions about what's possible in AI security engineering, and you Own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats. Benefits & perks (UK full time employees) Generous PTO, plus company holidays. Comprehensive medical and dental insurance. Paid parental leave for all parents (12 weeks). Fertility and family planning support. Early detection cancer testing through Galleri. Competitive pension scheme and company contribution. Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend. Company wide off sites and team off sites. Competitive compensation and company stock options.

About WRITER WRITER is where the world's leading enterprises orchestrate AI powered work. Our vision is to expand human capacity through superintelligence. And we've proven it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise wide transformation. With WRITER's end to end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise grade LLMs. Valued at $1.9B and backed by industry leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work - you're defending cutting edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale. You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense in depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating. This role can be based inSan reporting to our head of security operations. What you'll do Design and implement detection strategies that identify AI specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them Build detection as code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data Collaborate cross functionally as the operational security partner for all teams - translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails Maintain 24/7 on call rotation for critical AI security incidents, responding to real time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve What you need 3 5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, plus 3+ years specifically securing AI/ML infrastructure, high performance computing environments, or other distributed systems at scale Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud native and distributed computing environments Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments Self directed execution mindset with a track record of securing high value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents Deep alignment with WRITER's values - you naturally connect across security, infrastructure, and AI research teams to build comprehensive defenses, you challenge assumptions about what's possible in AI security engineering, and you own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options