Bul Rüya Kariyer

We Help the World Be Everyday Ready™ Today's threatscape is relentless. So are we. At Cyderes, we build practical Identity & Access Management (IAM), Exposure Management, and risk programs, helping organizations stop active threats fast with Managed Detection & Response (MDR) that integrates with existing tools. Powering it all is Meridian, our entity fabric that connects identities, assets, and access into one trusted reality. Augmented by AI and driven by experienced operators, our tireless global team arms organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way. 🏆 Great Place to Work® Certified™ About the Role: Cyderes is seeking an experienced Managed Services Security Analyst II to join our Cyber Defense team. This role is responsible for monitoring, investigating, and responding to security threats across complex enterprise client environments. The ideal candidate will have strong technical expertise in security operations, threat hunting, incident response, and security analysis. This individual will conduct advanced investigations, leverage industry-leading security technologies, and utilize the MITRE ATT&CK framework to identify threats, assess security posture, and provide actionable recommendations to clients. The Security Analyst II will collaborate with internal security teams and clients to deliver high-quality security outcomes while representing the Cyderes brand through professionalism, technical expertise, and effective communication. Hybrid model with 2-3 days in office. Responsibilities Perform advanced security triage and investigations across endpoint, server, network, and cloud environments. Conduct proactive threat hunting to identify, investigate, and isolate suspicious or malicious activity within client environments. Lead deep-dive investigations into security incidents, identifying root causes, indicators of compromise (IOCs), and potential business impact. Analyze security alerts, logs, and telemetry using SIEM, EDR, and other security monitoring platforms. Utilize the MITRE ATT&CK framework to map adversary tactics and techniques, assess detection coverage, and identify gaps in client security posture. Coordinate incident investigations and escalations, providing technical analysis and remediation recommendations. Review network traffic, endpoint artifacts, and system logs to identify indicators of attack and compromise. Develop, maintain, and improve security documentation, investigation procedures, and incident response runbooks. Participate in an after-hours on-call rotation, serving as an Incident Controller when required. Scope and assess client security incidents, ensuring timely investigation, communication, and escalation. Requirements 3+ years of progressive experience in cybersecurity, security operations, incident response, or a related IT security role. Strong experience conducting security investigations, incident triage, threat hunting, and advanced security analysis. Hands-on experience with Endpoint Detection and Response (EDR) platforms such as CrowdStrike Falcon, SentinelOne, or Microsoft Defender for Endpoint. Advanced knowledge of at least one leading SIEM platform, including Microsoft Sentinel, Splunk, Elastic Security, IBM QRadar, or Google Chronicle. Strong understanding of the MITRE ATT&CK framework, including mapping security detections to adversary tactics and techniques. Experience analyzing security events, identifying indicators of compromise, and investigating malicious activity across enterprise environments. Previous experience working within a Managed Detection & Response (MDR) provider, Managed Security Services Provider (MSSP), or enterprise Security Operations Center (SOC). Experience with Security Orchestration, Automation, and Response (SOAR) platforms and security workflow automation. Familiarity with cloud security monitoring and incident investigations across Microsoft Azure, AWS, or Google Cloud. Experience developing or tuning SIEM detection rules, security use cases, and threat hunting queries. Experience supporting client-facing incident investigations and communicating technical findings to security stakeholders. Knowledge of vulnerability management, threat intelligence, and proactive security monitoring techniques. WHY CYDERES? Benefits that go beyond the basics, we support our people so they can do their best work. ✔ Medical Insurance - Employee + dependents covered ✔ Life Insurance - Protection for what matters most ✔ Retirement Match Program - We invest in your future ✔ Hybrid Work Model - 2–3 days in office ✔ Maternity & Paternity Leave - Time for the moments that matter ✔ Paid Time Off - PTO + sick & casual leave ✔ Bereavement & Volunteer Time - Give back to your community ✔ Professional Development - Reimbursement program ✔ LinkedIn L&D Platform - Thousands of courses at your fingertips ✔ Mobile Phone Reimbursement - Stay connected, on us Cyderes i s an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status. Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Archer is collaborating with Telos to connect them with exceptional professionals for this role. The most security-conscious organizations trust Telos Corporation to protect their vital IT assets. The reputation of our company rests on the quality of our solutions and the integrity of our people. Explore what you can bring to our solutions in the areas of cyber, cloud and enterprise security. Be a part of the Telos culture and see what sets us apart! Telos offers an excellent compensation package with benefits that include generous paid time off, medical, dental, vision, tuition reimbursement, and 401k. The salary range for these openings is $65K - $85K per year. Our employees enjoy more than just a great work environment! This position will be based at Ashburn, VA (HQ) - There are 2 openings one for each of the following shifts, Monday - Friday 12AM - 8AM and Saturday - Wednesday 8AM - 4PM and includes holidays. The Security Operations Center (SOC) Analyst is responsible for detecting, analyzing, investigating, and responding to cybersecurity incidents affecting Telos Corporation. The SOC Analyst continuously monitors enterprise security platforms, investigates security events, conducts proactive threat hunting, and works closely with Security Engineering, IT Operations, and other business stakeholders to improve the organization's security posture. Responsibilities Monitor enterprise security platforms, including SIEM, EDR, email security, network security, cloud security, and identity systems, for indicators of malicious or suspicious activity. Detect, analyze, investigate, document, and respond to cybersecurity incidents in accordance with established incident response procedures. Perform proactive threat hunting activities to identify malicious or suspicious activity not identified through automated detection. Collect, preserve, analyze, and document evidence during security investigations. Investigate security alerts, determine scope and impact, and coordinate response activities with Information Technology, Security Engineering, and business stakeholders. Assist with the administration, maintenance, and continuous improvement of enterprise security technologies. Validate the effectiveness of security controls and identify opportunities to improve detection, prevention, and response capabilities. Identify security risks, threats, and vulnerabilities affecting systems, applications, cloud services, and enterprise infrastructure. Maintain accurate case documentation and ensure timely completion of incident reports, shift turnover documentation, and assigned operational tasks. Produce clear technical documentation, investigation reports, metrics, and executive summaries for security incidents and operational activities. Develop and maintain SOC documentation, including playbooks, runbooks, and standard operating procedures. Participate in continuous improvement activities, including detection tuning, threat intelligence review, and process improvement initiatives. Support IT and security projects and perform other duties as assigned. Job Requirements Qualifications Bachelor's degree in a related field preferred, or the equivalent combination of education, professional training or work experience (6 years). Two (2) or more years of experience in information security, information technology, systems administration, network administration, or a related technical field. Must meet or be able to meet DoD 8140 Cyber Workforce qualification requirements for the Cyber Defense Incident Responder (531) work role. Industry certifications such as CompTIA CySA+, EC-Council Certified Incident Handler (ECIH), Certified Ethical Hacker (CEH), or equivalent cybersecurity operations and incident response certifications are highly desirable. Familiarity with Linux/Windows/Mac Operating Systems. Experience with enterprise security technologies such as SIEM, EDR, vulnerability management, firewalls, email security, or other network security tools. Understanding of common network protocols, operating system security, authentication, and system administration concepts. Knowledge of common cyber threats, vulnerabilities, malware, and attack techniques. Strong analytical, troubleshooting, and problem-solving skills. Effective written and verbal communication skills and the ability to interact professionally with technical and non-technical personnel. Demonstrated organizational skills and the ability to prioritize multiple tasks in a dynamic environment. Ability to work independently and collaboratively as part of a team. Demonstrated commitment to continuous learning and professional development. Demonstrated commitment to continuous improvement through documentation, process improvement, operational knowledge development, and professional growth. Ability to obtain a U.S. Government security clearance is preferred. The successful candidate must meet eligibility requirements to access sensitive information, which requires US citizenship. Telos maintains a drug-free workplace and will conduct drug testing on all applicants who have accepted an offer of employment. Telos Corporation participates in the E-Verify program. Therefore, any employment with Telos will also be contingent upon confirmation from the Social Security Administration ("SSA") and/or the Department of Homeland Security ("DHS") of your authorization to work in the United States. Telos offers excellent compensation packages including salary commensurate with experience and benefits to meet your needs for today and the future. Telos Corporation and its subsidiaries are committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. Telos Corporation will make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodation would impose an undue hardship on the operation of our business. If you are interested in applying for an employment opportunity and feel you need a reasonable accommodation pursuant to the ADA, please contact us at 1-800-283-1911. If you require relay service assistance, please click on the following link to review information on your state's relay service: https://www.fcc.gov/accessibility. Telos Corporation is an EEO/AA employer.

We Help the World Be Everyday Ready™ Today's threatscape is relentless. So are we. At Cyderes, we build practical Identity & Access Management (IAM), Exposure Management, and risk programs, helping organizations stop active threats fast with Managed Detection & Response (MDR) that integrates with existing tools. Powering it all is Meridian, our entity fabric that connects identities, assets, and access into one trusted reality. Augmented by AI and driven by experienced operators, our tireless global team arms organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way. 🏆 Great Place to Work® Certified™ About the Role: Cyderes is seeking an experienced Managed Services Security Analyst II to join our Cyber Defense team. This role is responsible for monitoring, investigating, and responding to security threats across complex enterprise client environments. The ideal candidate will have strong technical expertise in security operations, threat hunting, incident response, and security analysis. This individual will conduct advanced investigations, leverage industry-leading security technologies, and utilize the MITRE ATT&CK framework to identify threats, assess security posture, and provide actionable recommendations to clients. The Security Analyst II will collaborate with internal security teams and clients to deliver high-quality security outcomes while representing the Cyderes brand through professionalism, technical expertise, and effective communication. Hybrid model with 2-3 days in office. Responsibilities Perform advanced security triage and investigations across endpoint, server, network, and cloud environments. Conduct proactive threat hunting to identify, investigate, and isolate suspicious or malicious activity within client environments. Lead deep-dive investigations into security incidents, identifying root causes, indicators of compromise (IOCs), and potential business impact. Analyze security alerts, logs, and telemetry using SIEM, EDR, and other security monitoring platforms. Utilize the MITRE ATT&CK framework to map adversary tactics and techniques, assess detection coverage, and identify gaps in client security posture. Coordinate incident investigations and escalations, providing technical analysis and remediation recommendations. Review network traffic, endpoint artifacts, and system logs to identify indicators of attack and compromise. Develop, maintain, and improve security documentation, investigation procedures, and incident response runbooks. Participate in an after-hours on-call rotation, serving as an Incident Controller when required. Scope and assess client security incidents, ensuring timely investigation, communication, and escalation. Requirements 3+ years of progressive experience in cybersecurity, security operations, incident response, or a related IT security role. Strong experience conducting security investigations, incident triage, threat hunting, and advanced security analysis. Hands-on experience with Endpoint Detection and Response (EDR) platforms such as CrowdStrike Falcon, SentinelOne, or Microsoft Defender for Endpoint. Advanced knowledge of at least one leading SIEM platform, including Microsoft Sentinel, Splunk, Elastic Security, IBM QRadar, or Google Chronicle. Strong understanding of the MITRE ATT&CK framework, including mapping security detections to adversary tactics and techniques. Experience analyzing security events, identifying indicators of compromise, and investigating malicious activity across enterprise environments. Previous experience working within a Managed Detection & Response (MDR) provider, Managed Security Services Provider (MSSP), or enterprise Security Operations Center (SOC). Experience with Security Orchestration, Automation, and Response (SOAR) platforms and security workflow automation. Familiarity with cloud security monitoring and incident investigations across Microsoft Azure, AWS, or Google Cloud. Experience developing or tuning SIEM detection rules, security use cases, and threat hunting queries. Experience supporting client-facing incident investigations and communicating technical findings to security stakeholders. Knowledge of vulnerability management, threat intelligence, and proactive security monitoring techniques. WHY CYDERES? Benefits that go beyond the basics, we support our people so they can do their best work. ✔ Medical Insurance - Employee + dependents covered ✔ Life Insurance - Protection for what matters most ✔ Retirement Match Program - We invest in your future ✔ Hybrid Work Model - 2–3 days in office ✔ Maternity & Paternity Leave - Time for the moments that matter ✔ Paid Time Off - PTO + sick & casual leave ✔ Bereavement & Volunteer Time - Give back to your community ✔ Professional Development - Reimbursement program ✔ LinkedIn L&D Platform - Thousands of courses at your fingertips ✔ Mobile Phone Reimbursement - Stay connected, on us Cyderes i s an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status. Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are Toshiba. We have an unwavering drive to make and do things that lead to a better world. Founded in 1965, Toshiba America, Inc. (TAI) is a subsidiary of the globally renowned Toshiba Corporation based in Tokyo. As the holding company for three Toshiba operating companies, TAI offers a wide array of products and solutions across the commercial, energy, and industrial sectors. Together with our subsidiaries, we form the Toshiba Americas Group, which is committed to technological innovation and excellence. Our Commitment to the Future At Toshiba America, we are guided by the principle "Committed to People, Committed to the Future." This core philosophy shapes our strategies and actions as we strive to build a better, more sustainable world. In an era of climate change, resource depletion, and social inequality, we aim to ensure safety, security, and environmental stability for all. Job Summary We are seeking a skilled and motivated mid-level Cybersecurity Analyst to help strengthen our defenses against evolving cyber threats. In this role, you will monitor, investigate, and respond to security events while also contributing to long-term security improvements. The ideal candidate has proven experience, takes ownership of incident response, and can work across teams to drive results. Key Responsibilities Monitor, analyze, and investigate security events, alerts, and incidents to identify threats and anomalies Act as a primary responder during security incidents, handling detection, analysis, triage, containment, eradication, and recovery Conduct root cause analysis and document findings for leadership review Perform vulnerability assessments, coordinate with teams, and drive remediation efforts Support proactive threat hunting and detection of suspicious activities Assist in configuring, maintaining, and tuning security tools, including firewalls, IDS/IPS, EDR, and email security platforms Contribute to security and compliance initiatives (ISO 27001, NIST CSF, Zero Trust) and internal audits Support security awareness campaigns and phishing defense programs Recommend improvements to tools, processes, and playbooks Develop and refine runbooks, procedures, and standards to improve SOC efficiency Research emerging threats, attack vectors, AI related risks and industry standards to keep defenses current Develop, implement, and enforce security policies, procedures, and best practices Apply strong problem-solving skills to handle moderately complex incidents Qualifications 4–6 years of hands-on experience in cybersecurity, SOC, or information security roles Strong knowledge of network protocols (TCP/IP), operating systems (Windows, Linux), and core security concepts Familiarity with attack techniques, endpoint protection, malware behavior, and cloud defense strategies Proven experience using SIEM platforms, writing queries, and analyzing alerts Awareness of AI security risks (e.g., model manipulation, data poisoning, prompt injection) and willingness to learn and apply best practices in securing AI-driven systems Demonstrated ability to perform root cause analysis and explain findings to both technical and non-technical audiences Experience automating repetitive tasks and scripting for analysis or reporting Familiarity with log analysis and query languages Hands-on experience with threat hunting methodologies Excellent communication skills Experience with cloud security monitoring (AWS, Azure, or GCP) Understanding of regulatory and compliance frameworks (ISO, NIST, GDPR, CIS, etc.) Relevant certifications (Security+, CySA+, GSEC, CEH, CC, SSCP)

We are Toshiba. We have an unwavering drive to make and do things that lead to a better world. Founded in 1965, Toshiba America, Inc. (TAI) is a subsidiary of the globally renowned Toshiba Corporation based in Tokyo. As the holding company for three Toshiba operating companies, TAI offers a wide array of products and solutions across the commercial, energy, and industrial sectors. Together with our subsidiaries, we form the Toshiba Americas Group, which is committed to technological innovation and excellence. Our Commitment to the Future At Toshiba America, we are guided by the principle "Committed to People, Committed to the Future." This core philosophy shapes our strategies and actions as we strive to build a better, more sustainable world. In an era of climate change, resource depletion, and social inequality, we aim to ensure safety, security, and environmental stability for all. Job Summary We are seeking a skilled and motivated mid-level Cybersecurity Analyst to help strengthen our defenses against evolving cyber threats. In this role, you will monitor, investigate, and respond to security events while also contributing to long-term security improvements. The ideal candidate has proven experience, takes ownership of incident response, and can work across teams to drive results. Key Responsibilities Monitor, analyze, and investigate security events, alerts, and incidents to identify threats and anomalies Act as a primary responder during security incidents, handling detection, analysis, triage, containment, eradication, and recovery Conduct root cause analysis and document findings for leadership review Perform vulnerability assessments, coordinate with teams, and drive remediation efforts Support proactive threat hunting and detection of suspicious activities Assist in configuring, maintaining, and tuning security tools, including firewalls, IDS/IPS, EDR, and email security platforms Contribute to security and compliance initiatives (ISO 27001, NIST CSF, Zero Trust) and internal audits Support security awareness campaigns and phishing defense programs Recommend improvements to tools, processes, and playbooks Develop and refine runbooks, procedures, and standards to improve SOC efficiency Research emerging threats, attack vectors, AI related risks and industry standards to keep defenses current Develop, implement, and enforce security policies, procedures, and best practices Apply strong problem-solving skills to handle moderately complex incidents Qualifications 4–6 years of hands-on experience in cybersecurity, SOC, or information security roles Strong knowledge of network protocols (TCP/IP), operating systems (Windows, Linux), and core security concepts Familiarity with attack techniques, endpoint protection, malware behavior, and cloud defense strategies Proven experience using SIEM platforms, writing queries, and analyzing alerts Awareness of AI security risks (e.g., model manipulation, data poisoning, prompt injection) and willingness to learn and apply best practices in securing AI-driven systems Demonstrated ability to perform root cause analysis and explain findings to both technical and non-technical audiences Experience automating repetitive tasks and scripting for analysis or reporting Familiarity with log analysis and query languages Hands-on experience with threat hunting methodologies Excellent communication skills Experience with cloud security monitoring (AWS, Azure, or GCP) Understanding of regulatory and compliance frameworks (ISO, NIST, GDPR, CIS, etc.) Relevant certifications (Security+, CySA+, GSEC, CEH, CC, SSCP)

We are Toshiba. We have an unwavering drive to make and do things that lead to a better world. Founded in 1965, Toshiba America, Inc. (TAI) is a subsidiary of the globally renowned Toshiba Corporation based in Tokyo. As the holding company for three Toshiba operating companies, TAI offers a wide array of products and solutions across the commercial, energy, and industrial sectors. Together with our subsidiaries, we form the Toshiba Americas Group, which is committed to technological innovation and excellence. Our Commitment to the Future At Toshiba America, we are guided by the principle "Committed to People, Committed to the Future." This core philosophy shapes our strategies and actions as we strive to build a better, more sustainable world. In an era of climate change, resource depletion, and social inequality, we aim to ensure safety, security, and environmental stability for all. Job Summary We are seeking a skilled and motivated mid-level Cybersecurity Analyst to help strengthen our defenses against evolving cyber threats. In this role, you will monitor, investigate, and respond to security events while also contributing to long-term security improvements. The ideal candidate has proven experience, takes ownership of incident response, and can work across teams to drive results. Key Responsibilities Monitor, analyze, and investigate security events, alerts, and incidents to identify threats and anomalies Act as a primary responder during security incidents, handling detection, analysis, triage, containment, eradication, and recovery Conduct root cause analysis and document findings for leadership review Perform vulnerability assessments, coordinate with teams, and drive remediation efforts Support proactive threat hunting and detection of suspicious activities Assist in configuring, maintaining, and tuning security tools, including firewalls, IDS/IPS, EDR, and email security platforms Contribute to security and compliance initiatives (ISO 27001, NIST CSF, Zero Trust) and internal audits Support security awareness campaigns and phishing defense programs Recommend improvements to tools, processes, and playbooks Develop and refine runbooks, procedures, and standards to improve SOC efficiency Research emerging threats, attack vectors, AI related risks and industry standards to keep defenses current Develop, implement, and enforce security policies, procedures, and best practices Apply strong problem-solving skills to handle moderately complex incidents Qualifications 4–6 years of hands-on experience in cybersecurity, SOC, or information security roles Strong knowledge of network protocols (TCP/IP), operating systems (Windows, Linux), and core security concepts Familiarity with attack techniques, endpoint protection, malware behavior, and cloud defense strategies Proven experience using SIEM platforms, writing queries, and analyzing alerts Awareness of AI security risks (e.g., model manipulation, data poisoning, prompt injection) and willingness to learn and apply best practices in securing AI-driven systems Demonstrated ability to perform root cause analysis and explain findings to both technical and non-technical audiences Experience automating repetitive tasks and scripting for analysis or reporting Familiarity with log analysis and query languages Hands-on experience with threat hunting methodologies Excellent communication skills Experience with cloud security monitoring (AWS, Azure, or GCP) Understanding of regulatory and compliance frameworks (ISO, NIST, GDPR, CIS, etc.) Relevant certifications (Security+, CySA+, GSEC, CEH, CC, SSCP)

IDR is seeking a Information Security Analyst 3 to join one of our top clients for an opportunity in Atlanta, GA. This role supports a security operations team in a highly regulated environment, focusing on monitoring, investigation, and incident response. The ideal candidate is a hands-on SOC professional who can work alerts end-to-end, communicate clearly, and help maintain and tune core security tooling. Position Overview for the Information Security Analyst 3: Monitor endpoint, network, identity, email, and data security activity to identify suspicious behavior and potential impact Investigate and resolve security incidents from initial alert through containment, remediation, and documented closure Maintain and improve SOC tooling, dashboards, and detection logic to reduce false positives and close monitoring gaps Perform proactive threat hunting and incorporate threat intelligence to strengthen detection and response Partner with internal technical teams to support vulnerability remediation and compliance-related security activities Requirements for the Information Security Analyst 3: 6+ years of information technology experience (or an equivalent combination of education and experience) Hands-on SOC experience independently investigating and resolving escalated security alerts Practical experience working with SIEM, EDR, and IDS tools (including dashboards, queries, and tuning/detection improvements) Strong incident response skills, including evidence gathering, timeline documentation, and clear communication of findings Familiarity with operating in regulated environments and supporting audits/compliance efforts (e.g., NIST-aligned controls) What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.

We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success. This position is based in the Firm's global operations center in Tampa, FL or Dallas, TX. General Description The IT Security Analyst will assist in monitoring, analyzing, and responding to cyber security threats against Holland & Knight. Key Responsibilities And Essential Job Functions Assists with monitoring, analyzing, and responding to security events from a wide range of devices within the environment. Ability to understand, prioritize and complete tasks by working independently or with a team. Performs general operations maintenance support on security tools and agents. Ability to process and correlate highly technical information from multiple sources in support of investigations. Stays up to date with trends and current countermeasures for cyber security vulnerabilities, exploits, and other malicious activities. Provides periodic "on-call" support of security operations during non-business hours. Assists with the scanning of systems for known vulnerabilities and provide support in the remediation of any vulnerabilities found. Analyzes and responds to previously undisclosed software and hardware vulnerabilities. Identifies areas of risk to the Firm and assists with efforts to mitigate those risks to an acceptable level. Maintains knowledge of vendor products, services and security technologies and recommends/implements their use. Approaches all problems, projects, and incidents with a high level of professionalism, objectivity and an open mind to new ideas and solutions. Expected to maintain a regular and predictable work schedule and full attention to and engagement in work activities on behalf of the firm during business hours unless otherwise approved or required by applicable law. Special projects and additional duties as assigned. Required Skills Knowledge or ability to learn Microsoft Office Suite, or Microsoft 365. Operating Systems: Windows Server, Active Directory, Linux, Windows 10/11 Network Technologies: Cisco LAN/WAN, VPN, DNS, DHCP Security Infrastructure Applications: Endpoint Detection and Response tools, automated systems management, vulnerability management tools, password management tools, email server security. Software: office productivity software, popular browsers, security related software analysis and protection, other business applications (accounting, practice management, CRM, etc.) Required Qualifications & Education Bachelor's degree from a four-year college or university. Preferred Qualifications & Education 4+ years of experience in a technical support role or job-related experience, supporting security related technology in a diverse technology environment. Experience with System Information and Event Management (SIEM) or other scalable log management solution, including the configuration and tuning of the system. Experience with vulnerability scanning and reporting (e.g., Nessus, Qualys, Rapid 7, etc.) Experience in monitoring and administrating various technical security controls such as firewalls, web filters and anti-virus solutions. Current SANS and/or other security certifications preferred. Physical Requirements Ability to sit or stand for extended periods of time. Moderate or advanced keyboard usage. Benefits: Our goal is to promote a work environment in which individuals have access to the resources they need to be their best both professionally and personally, which includes resources that encourage individuals to focus on their health and well-being. Below are the benefits we offer: comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners; life and AD&D insurance; short and long term disability insurance; tax-advantaged accounts for health care expenses, including FSAs and HSAs; FSAs for dependent care; health advocacy services; behavioral health and counseling resources for all family members; 401(k); profit sharing; backup dependent care; senior care planning support; resources for individuals with development disabilities and their caregivers; and paid holidays and other paid time off, including paid leave for new parents. Holland & Knight is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth or related conditions, transgender status, and sexual orientation), national origin, age, disability, genetic information, veteran status or any other factor prohibited by law. Applicants who are interested in applying for a position and require an accommodation during the process should contact ApplicantAccommodations@hklaw.com . Personal Information collected from applicants will be used for the purpose of processing the application throughout any recruitment or employment process, as well as inclusion in a personnel file. Categories of data collected may include name, address, phone numbers, email, Social Security Number, and signature. Holland & Knight may collect further information if you consent to a background check. This includes criminal background, employment, and certifications. Please visit Legal Information Portal for Holland & Knight LLP's privacy policies.

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are seeking a Software Engineer, ML Platform to join Zions Bancorporation. In this role you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You will be involved in the detailed technical design, development, and implementation of machine learning applications using both existing and emerging technology platforms. You'll focus on building and maintaining foundational components of the team's ML platform and ensuring availability and performance of our ML services. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering and model development. The Software Engineer, ML Platform will: The Software Engineer, ML Platform draws from many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many backend and ML engineering activities, including one or more of the following: Build and maintain deployment pipelines, environments, and containerized services for the team's production systems. Develop components of real-time decisioning services, including event processing, integrations, and decision logging. Implement observability: metrics, logging, tracing, alerting, and dashboards for production services. Design and maintain the model lifecycle: training pipelines, experiment tracking, model registry, versioning, and promotion from staging to production. Implement model monitoring: prediction drift, feature drift, data quality checks, performance against labeled outcomes. Collaborate as part of a cross-functional Agile team to create clean interfaces between data, decision logic, and services. Leverage CI/CD best practices to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Required Qualifications: 6+ years of professional software engineering experience building and operating production services. Proficiency in Python, including testing, packaging, and production-quality code. Experience with Docker and container-based deployment; working knowledge of Kubernetes. Experience building or maintaining CI/CD pipelines. Familiarity with cloud platforms (e.g. GCP), including IAM, networking, and storage basics. Experience instrumenting production services with metrics, structured logging, and alerting, using tools such as Splunk or Grafana. Understanding of distributed systems fundamentals such as retries, idempotency, and failure handling. Preferred Qualifications: Exposure to MLOps tools such as MLflow, feature stores, or model serving frameworks. Experience with streaming platforms like Kafka. Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Experience with Databricks, Spark, or Delta Lake. Familiarity with rules engines or policy frameworks. Visa Sponsorship: This position is currently not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility. Location: This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT. Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047. The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station. At least 75% of the building is powered by on-site renewable solar energy. Access to outdoor recreation, parks, trails, shareable bikes and locker rooms. Large modern cafe with a healthy and diverse menu. Healthy indoor environment with ample natural light and fresh air. LEED-certified sustainable building that features include the use of low VOC-emitting construction materials. Benefits: Medical, Dental and Vision Insurance - START DAY ONE! Life and Disability Insurance, Paid Parental Leave and Adoption Assistance Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience Mental health benefits including coaching and therapy sessions Tuition Reimbursement for qualifying employees Employee Ambassador preferred banking products Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

About The Role The role owns the infrastructure and pipelines that turn ML experiments into reliable, production-grade systems. This covers CI/CD for models, distributed training infrastructure, feature stores, model serving, and observability - the plumbing that determines whether an ML organization ships weekly or stalls in notebook limbo. The position sits at the intersection of platform engineering and machine learning. The MLOps Engineer will work directly with ML engineers and data scientists to make training, deployment, and monitoring fast, reproducible, and boring in the best possible way. Key Responsibilities Design and maintain CI/CD pipelines for ML workflows (GitLab CI, GitHub Actions, or Argo Workflows) covering training jobs, model evaluation gates, and automated deployments Build and operate model serving infrastructure using Kubernetes, KServe/Seldon, or cloud-native endpoints (SageMaker, Vertex AI), with autoscaling and canary rollout strategies Implement experiment tracking and model registry workflows using MLflow or Weights & Biases, ensuring full lineage from data to deployed artifact Build monitoring and observability for production models: drift detection, latency/throughput dashboards, and automated alerting with Grafana, Prometheus, or Datadog Optimize training pipelines for cost and speed - distributed training with PyTorch DDP or Ray, GPU utilization tuning, and spot-instance strategies on AWS or GCP Automate infrastructure as code with Terraform; own Kubernetes manifests, Helm charts, and environment parity across dev/staging/production Partner with data scientists to productionize feature pipelines, leveraging a feature store (Feast, Tecton, or custom) and streaming data with Kafka where appropriate What We Are Looking For 3–6 years of experience in MLOps, platform engineering, or DevOps with significant ML workloads in production Strong Python and scripting skills; solid software engineering fundamentals including testing and code review discipline Deep hands-on experience with Kubernetes and Docker, including running GPU workloads in production Experience with at least one major ML platform: AWS SageMaker, GCP Vertex AI, or Azure ML, plus familiarity with MLflow or W&B Practical knowledge of IaC (Terraform) and cloud networking fundamentals on AWS or GCP Bachelor's degree in Computer Science, Engineering, or equivalent practical experience; track record of owning production infrastructure end-to-end Bonus: experience with LLM serving stacks (vLLM, Triton, TensorRT-LLM), feature stores (Feast, Tecton), Ray, or exposure to SOC 2 / compliance requirements for ML systems

About The Role The role owns the infrastructure that makes ML work in production: training pipelines, model serving, monitoring, and the CI/CD systems that take models from notebook to reliable, scalable deployment. The team partners closely with ML engineers and data scientists to eliminate friction between experimentation and production — building the automated pipelines, observability, and infrastructure standards that let models ship fast and stay reliable. Key Responsibilities Design and maintain end-to-end ML pipelines for training, validation, and deployment using tools like Kubeflow, MLflow, or Airflow Build and scale model serving infrastructure with Docker, Kubernetes, and frameworks like KServe, Seldon, or Triton, supporting both batch and low-latency inference Implement CI/CD for ML systems — automated testing, model versioning, canary deployments, and rollback strategies Establish monitoring and observability for production models: data drift detection, latency/throughput dashboards, and automated alerting with Prometheus and Grafana Manage GPU compute and cloud resources across AWS, GCP, or Azure, optimizing cost and utilization for training and inference workloads Collaborate with data scientists to productionize models, translating experimental code into robust, tested engineering systems Drive platform reliability standards: SLOs, incident response, and postmortems for ML serving infrastructure What We Are Looking For 3–6 years of experience in MLOps, ML engineering, or backend/platform engineering with production ML systems Strong Python skills plus hands-on experience with containerization and orchestration (Docker, Kubernetes) Experience with at least one ML pipeline/workflow tool: Kubeflow, MLflow, Airflow, or SageMaker Pipelines Proficiency with cloud infrastructure (AWS, GCP, or Azure), including GPU instance management and IaC tools like Terraform Practical experience with model serving and monitoring in production, including drift detection and performance tuning Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Bonus: Experience with LLM inference infrastructure (vLLM, TensorRT-LLM, Triton), feature stores (Feast, Tecton), or streaming data systems (Kafka, Flink)

The Position A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Opportunity At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for building and maintaining the scalable and robust infrastructure that powers our machine learning initiatives. The ideal candidate will be proactive, user-facing, and possess a "get-it-done" attitude, while consistently adhering to corporate standards and best practices. What You'll Do Machine Learning Engineer - DevOps Design, implement, and maintain scalable and reliable ML infrastructure on AWS. Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm. Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment. Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. Troubleshoot and resolve infrastructure-related issues in a timely manner. Implement and enforce security best practices for ML infrastructure. Document infrastructure designs, processes, and operational procedures. Contribute to initiatives independently as part of a team, delivering assigned outputs. Proactively identify issues and gaps, proposing ideas and suggestions for improvements. Senior Machine Learning Engineer - DevOps Lead the architecture and delivery of significant technical solutions Mentor junior engineers and drive technical alignment and influence across teams Design, implement, and maintain scalable and reliable ML infrastructure on AWS. Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software." to "Who you are Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm. Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment. Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. Troubleshoot and resolve infrastructure-related issues in a timely manner. Implement and enforce security best practices for ML infrastructure. Document infrastructure designs, processes, and operational procedures. Contribute to initiatives independently as part of a team, delivering assigned outputs. Proactively identify issues and gaps, proposing ideas and suggestions for improvements. Who You Are Machine Learning Engineer - DevOps BS/MS with 2-3 years of industry experience required Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc. Strong proficiency with Git and Git repository management. Hands-on experience with Terraform for infrastructure provisioning and management. Experience with Helm for deploying and managing applications on Kubernetes. Proficiency in scripting languages (e.g., Python, Bash) for automation. Excellent problem-solving skills and a strong ability to debug complex issues. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions. Demonstrated ability to take initiative, anticipate needs, and drive projects to completion. Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines. Ability to write clean code with little syntax/convention feedback. Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD). Familiarity with modern machine learning methods. Knowledge of and experience with high-performance computing, distributed systems, and cloud computing. Senior Machine Learning Engineer - DevOps BS/MS with 3-5 years of industry experience required Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc. Strong proficiency with Git and Git repository management. Hands-on experience with Terraform for infrastructure provisioning and management. Experience with Helm for deploying and managing applications on Kubernetes. Proficiency in scripting languages (e.g., Python, Bash) for automation. Excellent problem-solving skills and a strong ability to debug complex issues. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions. Demonstrated ability to take initiative, anticipate needs, and drive projects to completion. Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines. Ability to write clean code with little syntax/convention feedback. Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD). Familiarity with modern machine learning methods. Knowledge of and experience with high-performance computing, distributed systems, and cloud computing. Preferred Experience with MLOps platforms and tools. Familiarity with CI/CD pipelines for ML workflows. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Relocation benefits are NOT available for this job posting The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #ComputationCoE #tech4lifeComputationalScience #tech4lifeAI Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.